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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2023.1107067</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Valorization and characterization of corn by-product polyphenols through green extraction technologies</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Faiza</surname> <given-names>Neelam</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2113523/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Imran</surname> <given-names>Ali</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1093309/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Arshad</surname> <given-names>Muhammad Umair</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Arshad</surname> <given-names>Muhammad Sajid</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1105424/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shah</surname> <given-names>Mohd Asif</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1930375/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Food Sciences, Government College University</institution>, <addr-line>Faisalabad</addr-line>, <country>Pakistan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Economics, Kebri Dehar University</institution>, <addr-line>Kebri Dehar</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Division of Research and Development, Lovely Professional University, Phagwara</institution>, <addr-line>Punjab</addr-line>, <country>India</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Hafida Wahia, Jiangsu University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Carla Pereira, Centro de Investiga&#x00E7;&#x00E3;o de Montanha, Portugal; Tanase Corneliu, George Emil Palade University of Medicine, Pharmacy, Science and Technology of T&#x00E2;rgu Mure&#x015F;, Romania</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ali Imran, <email>aliimran.ft@gmail.com</email></corresp>
<corresp id="c002">Mohd Asif Shah, <email>drmohdasifshah@kdu.edu.et</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Food Chemistry, a section of the journal Frontiers in Nutrition</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>05</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1107067</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Faiza, Imran, Arshad, Arshad and Shah.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Faiza, Imran, Arshad, Arshad and Shah</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>The amount of food waste throughout the world has become quite alarming and is contributing to lower food resources. The study aimed to extract and characterize the polyphenols from corn silks at immature and mature stages through conventional and green extraction techniques. Purposely, corn silks, which are some of the by-products of corn, (<italic>Zea mays</italic> L.) were collected and subjected to proximate analysis including moisture, ash, protein, fiber, and minerals. Secondly, the antioxidants from both immature and mature corn silks were extracted by techniques involving supercritical and ultrasound extraction alongside conventional extraction. The results displayed a promising quantity of protein and fiber along with calcium, magnesium, sodium potassium, and copper. Among the extraction techniques, supercritical extraction at 3,000 Pa acquired the highest total phenolic contents (TPC), total flavonoids (TF), 2, 2-diphenylpicrylhydrazyl (DPPH), ferric-reducing antioxidant power (FRAP) activities as 128.08 &#x00B1; 3.74 mg GAE/100 g, 86.73 &#x00B1; 2.75 mg CE/100 g, 106.73 &#x00B1; 5.10%, and 73.52 &#x00B1; 2.33 &#x03BC;M Fe + 2/g, respectively, followed by the ultrasound and conventional extraction techniques. Between the immature and mature corn silks, the highest antioxidant activity was displayed by immature corn silks.</p>
</abstract>
<kwd-group>
<kwd>agro-industrial waste</kwd>
<kwd>corn silk</kwd>
<kwd>mature</kwd>
<kwd>polyphenols</kwd>
<kwd>green extraction technologies</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="8"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="9"/>
<word-count count="6594"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Agro-industrial waste poses huge environmental and financial hurdles at the point of disposal. However, they hold rich phytochemistry with special reference to polyphenols that may prove effectual against various lifestyle-related ailments. In this context, waste valorization is among the leading strategies to ensure food security by minimizing loss and recycling beneficial components that may be further utilized as therapeutic agents (<xref ref-type="bibr" rid="B1">1</xref>). Among the various waste-generating crops, corn (<italic>Zea mays</italic> L.) has vital importance primarily due to its higher consumption and rich phytochemistry. Parts of the corn (<italic>Zea mays</italic> L.) plant hold promising nutritional and therapeutic potential owing to its strong polyphenol contents (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Amongst the different waste products of corn, the bundles of silky, hair-like, long, and yellow in color strands, which can be found on the top of the immature or mature corn, are called corn silks and they hold significant importance. Corn silk is usually treated as waste; however, recent investigations unveiled its nutritional and functional profile with special reference to fiber, minerals, and antioxidants (<xref ref-type="bibr" rid="B4">4</xref>). Research has also found that the stage of maturity also plays a pivotal role in its antioxidant profile (<xref ref-type="bibr" rid="B5">5</xref>). Conventionally, these hair-like strands are utilized as a diuretic agent and are vital for providing ease for the passage of kidney stones or urinary bladder stones (<xref ref-type="bibr" rid="B6">6</xref>). Furthermore, Chinese people have been utilizing these corn silks for medical purposes and treating several ailments usually related to the kidneys (<xref ref-type="bibr" rid="B7">7</xref>). The therapeutic potential of corn silk has been attributed to its high polyphenolic contents with special reference to phenolic acids like ferulic acid, caffeic acid, and gallic acid. Moreover, the demand for natural antioxidants has been on the increasing side because of negative perceptions associated with synthetic antioxidants that are available in the market (<xref ref-type="bibr" rid="B8">8</xref>). All around the world, plants and their waste products are a potent source of natural antioxidants and help in combating many ailments (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Currently, green extraction technologies have been adapted widely for the extraction of high-value-added compounds from agro-industrial wastes (<xref ref-type="bibr" rid="B12">12</xref>). The utilization of novel technologies for polyphenol extraction can improve the extraction yield and therapeutic potential. Moreover, they are rated as affordable, safe, effective, and ecologically friendly alternatives, enabling the clean label status (<xref ref-type="bibr" rid="B13">13</xref>). Polyphenol extraction yield depends on the technique applied and novel green extraction technologies like ultrasound-assisted extraction, supercritical fluid extraction, microwave-assisted extraction, and pulse electric field extraction are considered the most efficient owing to their higher yield, extraction time, costs, and environmental impact. However, the success of the applied technique depends on several factors including the nature of raw material, chemical constituents, and processing parameters (<xref ref-type="bibr" rid="B14">14</xref>). The green technologies utilized for extraction help in efficient structural elucidation along with less solvent and time required for the completion of the procedures. Supercritical fluid extraction (SFE) uses CO<sub>2</sub> to separate the components while ultrasonication uses the frequencies from sound waves to extract the required components. Considering the abovementioned facts, it is envisaged that there would be conversations regarding the impact of the different extraction techniques on the polyphenol extraction of corn silk and their structural elucidation. This study aimed to elucidate the nutritional composition of corn silk and its antioxidant profiling through different green extraction techniques like supercritical fluid extraction and ultrasonication alongside side conventional extraction for comparison.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>Procurement of raw material</title>
<p>For the current research, the corn was procured from the Ayub Agriculture Research Institute (AARI), Faisalabad, with a plant voucher number (GCBFA-3347), while the chemicals utilized for the HPLC standards and analytical procedures were procured from Merck (Germany) and Sigma-Aldrich (Japan).</p>
</sec>
<sec id="S2.SS2">
<title>Raw material handling</title>
<p>The corn silks were removed from the corn fruits and washed thoroughly with distilled water to remove any impurities. After washing the corn silks, they were dried in a hot air oven at 50 to 60&#x00B0;C for approximately 48 h. Finally, the oven-dried sample of corn silks was ground into a powder form with the help of a small laboratory grinder (Panasonic, Japan, Model MJ-W176P) and stored at an optimum temperature for further use in the research.</p>
</sec>
<sec id="S2.SS3">
<title>Proximate analysis</title>
<p>The proximate analysis of the corn silks was carried out by the determination of the moisture content, protein, lipid (fat), ash, and dietary fiber by following the protocol of AACC (<xref ref-type="bibr" rid="B15">15</xref>). However, the nitrogen free extract (NFE) was calculated at the end through the subtraction method.</p>
</sec>
<sec id="S2.SS4">
<title>Mineral analysis</title>
<p>The corn silk powder sample was then evaluated for its mineral content consisting of minerals like Na (sodium), K (potassium), Ca (calcium), Zn (zinc), Fe (iron), and Mg (magnesium) following the guidelines of AOAC (<xref ref-type="bibr" rid="B16">16</xref>). The first two minerals were determined by Flame Photometer-410 (Sherwood Scientific Ltd., Cambridge) while the remaining were estimated by Atomic Absorption Spectrophotometer (Varian AA240, Australia).</p>
</sec>
</sec>
<sec id="S3">
<title>Preparation of extracts</title>
<sec id="S3.SS1">
<title>Experimental design</title>
<p>We utilized the following conditions for the different extraction techniques owing to the experimental techniques that were already approved appropriately in a preliminary trial. Moreover, the extraction of polyphenols from waste materials had already been carried out in our laboratories and the following conditions had been proven suitable so we used them in our study.</p>
</sec>
<sec id="S3.SS2">
<title>Conventional solvent extraction</title>
<p>The extracts of the corn silk powder were prepared by the maceration technique using the method proposed by Rusak et al. (<xref ref-type="bibr" rid="B17">17</xref>). Two different solvents namely aqueous methanol and water were utilized with three different time intervals (20, 30, and 40 min), temperatures (30, 40, and 50&#x00B0;C), and solvent-to-sample ratios (40:60, 60:40, and 80:20). The extracts obtained as a result of the technique used were further treated for concentration and was turned to powder form using the freeze dry technique and then stored at an optimum temperature (<xref ref-type="table" rid="T1">Table 1A</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1A</label>
<caption><p>Experimental design conditions for conventional solvent extraction.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Corn variety</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Treatment</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Solvent</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Time (minutes)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="6">Immature</td>
<td valign="top" align="center">T<sub>1</sub></td>
<td valign="top" align="center">Water</td>
<td valign="top" align="center">30</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>2</sub></td>
<td valign="top" align="center">Aqueous methanol</td>
<td valign="top" align="center">30</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>3</sub></td>
<td valign="top" align="center">Water</td>
<td valign="top" align="center">60</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>4</sub></td>
<td valign="top" align="center">Aqueous methanol</td>
<td valign="top" align="center">60</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>5</sub></td>
<td valign="top" align="center">Water</td>
<td valign="top" align="center">90</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>6</sub></td>
<td valign="top" align="center">Aqueous methanol</td>
<td valign="top" align="center">90</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Mature</td>
<td valign="top" align="center">T<sub>7</sub></td>
<td valign="top" align="center">Water</td>
<td valign="top" align="center">30</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>8</sub></td>
<td valign="top" align="center">Aqueous methanol</td>
<td valign="top" align="center">30</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>9</sub></td>
<td valign="top" align="center">Water</td>
<td valign="top" align="center">60</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>10</sub></td>
<td valign="top" align="center">Aqueous methanol</td>
<td valign="top" align="center">60</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>11</sub></td>
<td valign="top" align="center">Water</td>
<td valign="top" align="center">90</td>
</tr>
<tr>
<td valign="top" align="center">T<sub>12</sub></td>
<td valign="top" align="center">Aqueous methanol</td>
<td valign="top" align="center">90</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS3">
<title>Supercritical fluid extraction (SFE)</title>
<p>The supercritical fluid extraction of polyphenols from the corn silk was carried out using three different factors including time, pressure, and temperature of 20, 30, and 40 min; 2,000, 3,000, and 4,000 Pa; and 30, 40, and 50&#x00B0;C, respectively (<xref ref-type="bibr" rid="B18">18</xref>), as shown in <xref ref-type="table" rid="T2">Table 1B</xref>.</p>
<table-wrap position="float" id="T2">
<label>TABLE 1B</label>
<caption><p>Experimental design conditions for supercritical fluid extraction.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Independent variables</td>
<td valign="top" align="center" colspan="3" style="color:#ffffff;background-color: #7f8080;">Code levels</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Temperature (&#x00B0;C)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">90</td>
</tr>
<tr>
<td valign="top" align="left">Pressure (psi)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" align="left">Time (minutes)</td>
<td valign="top" align="center">40:60</td>
<td valign="top" align="center">60:40</td>
<td valign="top" align="center">80:20</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS4">
<title>Ultrasonic-assisted extraction (UAE)</title>
<p>The ultrasonic-assisted extraction of the corn silk was performed by the protocol given by Albu et al. (<xref ref-type="bibr" rid="B19">19</xref>) with some variations. The solvents utilized for the purpose of extraction were water and aqueous methanol at different time intervals (20, 30, and 40 min), temperatures (30, 40, and 50&#x00B0;C), solvent-to-sample ratio (40:60, 60:40, and 80:20), and amplitude (20, 30, and 40%) (<xref ref-type="table" rid="T3">Table 1C</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 1C</label>
<caption><p>Experimental design conditions for ultrasonic-assisted extraction.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Independent variables</td>
<td valign="top" align="center" colspan="3" style="color:#ffffff;background-color: #7f8080;">Code levels</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Amplitude (%)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">90</td>
</tr>
<tr>
<td valign="top" align="left">Temperature (&#x00B0;C)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">40</td>
</tr>
<tr>
<td valign="top" align="left">Solvent-to-sample ratio</td>
<td valign="top" align="center">40:60</td>
<td valign="top" align="center">60:40</td>
<td valign="top" align="center">80:20</td>
</tr>
<tr>
<td valign="top" align="left">Time (minutes)</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">15</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS5">
<title>Phytochemical screening assays</title>
<p>Phytochemical screening of the extracts obtained from different techniques was carried out by performing various antioxidant assays including total phenolic content (TPC), total flavonoid content (TFC), 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2&#x2032;-azino-bis, 3-ethylbenzothiazoline-6-sulfonic acid (ABTS), and ferric-reducing antioxidant power (FRAP) estimation.</p>
</sec>
<sec id="S3.SS6">
<title>Determination of total phenolics contents (TPC)</title>
<p>To determine the antioxidant potential of the extracts, the TPC was estimated through the assay against the standard reagents. For this purpose, an equal amount of the FC agent and the sample of corn silk was mixed with 500 &#x03BC;L of water (distilled) and allowed to rest for approximately 5 min after, 7% Na<sub>2</sub>CO<sub>3</sub> (4.5 ml) was incorporated and allowed to rest for another 90 min. Finally, the assay was used to measure the absorbance through the spectrophotometer (IRMECO, U2020) at 760 nm. The TPC was then estimated as the gallic acid equivalent (mg gallic acid/g) using the method proposed by Sengul (<xref ref-type="bibr" rid="B20">20</xref>).</p>
</sec>
<sec id="S3.SS7">
<title>Determination of total flavonoid (TF)</title>
<p>One of the important polyphenol classes includes flavonoids, which are the largest class and can provide therapeutic benefits. In the assay to determine the TFC, a mixture consisting of distilled water, NaNO<sub>2</sub>, and 10 percent AlCl<sub>3</sub> in the ratio of 0.1, 4, 0.3, and 5%, respectively, was prepared. The solution was allowed to rest for 6 min and then 1.0M NaOH was added. The absorbance was then estimated at 430 nm following the protocol of Ghasemzadeh and Jaafar (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="S3.SS8">
<title>Antioxidant potential</title>
<sec id="S3.SS8.SSS1">
<title>DPPH radical scavenging assay</title>
<p>The free radical scavenging ability was determined by the DPPH (1,1-diphenyl-2-picrylhydrazyl) assay. The estimation is carried out by taking the sample and the DPPH solution at 0.12 mM concentration added in a test tube in the ratio of 4:1, respectively. The solution was allowed to rest in a dark place for approximately 30 min. Later on, the absorbance of the solution was estimated at 520 nm using the UV/visible spectrophotometer against the standard control and the blank (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>).</p>
</sec>
<sec id="S3.SS8.SSS2">
<title>ABTS (2,2&#x2032;-azino-bis, 3-ethylbenzothiazoline-6-sulfonic acid) assay</title>
<p>The ABTS (2,2&#x2032;-azino-bis, 3-ethylbenzothiazoline-6-sulfonic acid) assay of the corn silk extracts was carried out by the procedure proposed by Hossain et al. (<xref ref-type="bibr" rid="B24">24</xref>). To prepare the ABTS radicals, ABTS solution of 7 mM concentration was incorporated with 5 ml of potassium per sulfate solution of 2.45 mM concentration to make a total of 10 ml volume. This prepared mixture was transferred to an opaque bottle and allowed to rest for approximately 16 h in a dark and cool place to achieve stable oxidization. After the mixture had rested, it was diluted with ethanol and then adjusted to provide 0.7 absorbance at 734 nm. In addition, 10 &#x03BC;L of corn silk extract was added to 1 ml of the ABTS solution and then mixed thoroughly. After mixing, the solution was then subjected to a spectrophotometer to measure the absorbance at 734 nm after making it rest for 30 min. The antioxidant capacity of the extracts was determined using Trolox standard curve recorded in &#x03BC;mol Trolox/g sample extract.</p>
</sec>
<sec id="S3.SS8.SSS3">
<title>Ferric-reducing antioxidant power (FRAP)</title>
<p>Another assay performed for the determination of the antioxidant capacity of the extract was the FRAP. In this assay, the metal ion chelating power is the parameter that helps in assessing the antioxidant potential of the compound under experiment. For this purpose, 0.5 ml of the experimental sample was added to 125 ml of the phosphate buffer with a concentration of 0.2 M and pH of 6.6, and potassium ferricyanide solution with a concentration of 1% was altogether placed in a water bath at a temperature of 50&#x00B0;C for 15 min. In the sample, 125 ml of trichloroacetic acid (10%) and distilled water were incorporated with 0.25 ml of ferric chloride (1%) and allowed to rest for 10 min. After the resting period, the absorbance was calculated at 700 nm (<xref ref-type="bibr" rid="B25">25</xref>).</p>
</sec>
<sec id="S3.SS8.SSS4">
<title>HPLC quantification of bioactive compounds</title>
<p>The different preparations of corn silk extracts were then subjected to HPLC quantification to determine the comparative profusion of the bioactive compounds present. Ferulic acid which was found in abundance in corn silks has proven to be a potent antioxidant with health benefits. Purposely, the HPLC quantification was carried out for the approximation of ferulic acid content in corn silk extracts obtained through the extraction techniques mentioned above. Reverse phase HPLC (PerkinElmer, Series 200, USA) with C18 column was utilized. The mobile phase consisted of methanol/H<sub>2</sub>O, 65:35 (v/v), with a sample size of 1 ml, and at a per-minute flow rate of 1.0 ml. For the estimation procedure, ultraviolet detection was carried out at 282 nm. The comparison with the peak time and height of the ferulic acid standard was provided with the calculations (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec id="S3.SS8.SSS5">
<title>Statistical analysis</title>
<p>The data for each parameter was statistically analyzed to determine the level of significance using a software package (MATLAB). Analysis of variance technique (ANOVA) was applied for the estimation of significance (<italic>p</italic> &#x2264; 0.05) between the various factors. Purposely, a one-factor or two-factor factorial design was applied as per the nature of the variables. Moreover, the comparison of the extraction techniques and maturity vs. immaturity two-factor factorial design was applied. Duncan&#x2019;s multiple ranges (DMR) test was utilized to estimate the level of significance between the groups.</p>
</sec>
</sec>
</sec>
<sec id="S4" sec-type="results|discussion">
<title>Results and discussion</title>
<sec id="S4.SS1">
<title>Nutritional composition of corn silk</title>
<sec id="S4.SS1.SSS1">
<title>Proximate and mineral analysis</title>
<p>The mean values for moisture, protein, fat, fiber, total ash, and NFE (nitrogen-free extract) of immature and mature corn silk were found to be 5.25 &#x00B1; 1.12 and 4.40 &#x00B1; 2.19, 12.83 &#x00B1; 0.89 and 8.75 &#x00B1; 0.57, 1.23 &#x00B1; 0.02 and 0.54 &#x00B1; 0.01, 49.51 &#x00B1; 3.91 and 53.25 &#x00B1; 2.89, 5.38 &#x00B1; 0.19 and 5.49 &#x00B1; 0.22, and 25.80 &#x00B1; 1.19 and 27.57 &#x00B1; 1.56%, respectively. Likewise, the values observed for minerals in immature and mature corn silk were sodium (Na) 193.47 &#x00B1; 5.58 and 289.31 &#x00B1; 4.16, potassium (K) 2,629.97 &#x00B1; 4.82 and 3,560.24 &#x00B1; 5.96, calcium (Ca) 1,083.09 &#x00B1; 6.17 and 709.94 &#x00B1; 4.38, magnesium (Mg) 1,213.19 &#x00B1; 5.45 and 359.90 &#x00B1; 2.29, zinc (Zn) 42.46 &#x00B1; 2.28 and 36.78 &#x00B1; 1.99, manganese (Mn) 34.14 &#x00B1; 1.79 and 33.57 &#x00B1; 2.53, and iron (Fe) 2.13 &#x00B1; 0.08 and 4.39 &#x00B1; 1.11 &#x03BC;g/g, respectively (<xref ref-type="table" rid="T4">Table 2</xref>).</p>
<table-wrap position="float" id="T4">
<label>TABLE 2</label>
<caption><p>Compositional analysis of corn silk.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Nutritional compound</td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">Concentration</td>
</tr>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Immature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mature corn silk</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Moisture (%)</td>
<td valign="top" align="center">5.25 &#x00B1; 1.12a</td>
<td valign="top" align="center">4.40 &#x00B1; 2.19b</td>
</tr>
<tr>
<td valign="top" align="left">Protein (%)</td>
<td valign="top" align="center">12.83 &#x00B1; 0.89a</td>
<td valign="top" align="center">8.75 &#x00B1; 0.57b</td>
</tr>
<tr>
<td valign="top" align="left">Fat (%)</td>
<td valign="top" align="center">1.23 &#x00B1; 0.02a</td>
<td valign="top" align="center">0.54 &#x00B1; 0.01b</td>
</tr>
<tr>
<td valign="top" align="left">Fiber (%)</td>
<td valign="top" align="center">49.51 &#x00B1; 3.91b</td>
<td valign="top" align="center">53.25 &#x00B1; 2.89a</td>
</tr>
<tr>
<td valign="top" align="left">Ash (%)</td>
<td valign="top" align="center">5.38 &#x00B1; 0.19b</td>
<td valign="top" align="center">5.49 &#x00B1; 0.22a</td>
</tr>
<tr>
<td valign="top" align="left">NFE</td>
<td valign="top" align="center">25.80 &#x00B1; 1.19b</td>
<td valign="top" align="center">27.57 &#x00B1; 1.56a</td>
</tr>
<tr>
<td valign="top" align="left">Na (&#x03BC;g/g)</td>
<td valign="top" align="center">193.47 &#x00B1; 5.58b</td>
<td valign="top" align="center">289.31 &#x00B1; 4.16a</td>
</tr>
<tr>
<td valign="top" align="left">Ca (&#x03BC;g/g)</td>
<td valign="top" align="center">1,083.09 &#x00B1; 6.17a</td>
<td valign="top" align="center">709.94 &#x00B1; 4.38b</td>
</tr>
<tr>
<td valign="top" align="left">Mg (&#x03BC;g/g)</td>
<td valign="top" align="center">1,213.19 &#x00B1; 5.45a</td>
<td valign="top" align="center">359.90 &#x00B1; 2.29b</td>
</tr>
<tr>
<td valign="top" align="left">K (&#x03BC;g/g)</td>
<td valign="top" align="center">2,629.97 &#x00B1; 4.82b</td>
<td valign="top" align="center">3,560.24 &#x00B1; 5.96a</td>
</tr>
<tr>
<td valign="top" align="left">Cu (&#x03BC;g/g)</td>
<td valign="top" align="center">6.42 &#x00B1; 1.20a</td>
<td valign="top" align="center">4.59 &#x00B1; 0.92b</td>
</tr>
<tr>
<td valign="top" align="left">Fe (&#x03BC;g/g)</td>
<td valign="top" align="center">2.13 &#x00B1; 0.08b</td>
<td valign="top" align="center">4.39 &#x00B1; 1.11a</td>
</tr>
<tr>
<td valign="top" align="left">Zn (&#x03BC;g/g)</td>
<td valign="top" align="center">42.46 &#x00B1; 2.28a</td>
<td valign="top" align="center">36.78 &#x00B1; 1.99b</td>
</tr>
<tr>
<td valign="top" align="left">Mn (&#x03BC;g/g)</td>
<td valign="top" align="center">34.14 &#x00B1; 1.79a</td>
<td valign="top" align="center">33.57 &#x00B1; 2.53b</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are expressed as mean &#x00B1; standard deviation (n = 3). Values in the same column within each parameter with different letters were significantly different from each other (p &#x2264; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4.SS1.SSS2">
<title><italic>In vitro</italic> characterization</title>
<p>The grand mean obtained for the parameters of the <italic>in vitro</italic> characterization including TPC, TFC, radical scavenging assay (DPPH), ferric-reducing antioxidant potential (FRAP), and ABTS assay for the mature and immature corn silk extracts showed that both the extraction techniques [(<italic>p</italic> &#x2264; 0.05)] and stage of maturity of corn silk [(<italic>p</italic> &#x2264; 0.05)] showed significant differences in the antioxidant profile, whereas their interaction showed non-significant differences [(<italic>p</italic> 0.0250)]. Moreover, the effect of the time, temperature, type of solvent used, pressure, and amplitude was found to be quite significant on the TPC, TFC, DPPH, FRAP, and ABTS of the obtained extracts. The peak recovery was presented by the supercritical fluid extraction followed by the ultrasound, and the least was found to be by the conventional extraction. The peak values were obtained in the supercritical fluid extraction with the parameters including a pressure of 4,000 Pa, temperature of 50&#x00B0;C, and time interval of 40 min, whereas in the ultrasonic extraction, the highest recovery point was with the following parameters: a temperature of 50&#x00B0;C, a time interval of 40 min, ethanol of 80%, and an amplitude of 40%. Similarly, in the conventional extraction technique, the parameters included 50&#x00B0;C temperature, 40 min time interval, and 80% ethanolic solution, which showed better recovery as compared to other solvents utilized (<xref ref-type="table" rid="T5">Table 3</xref>).</p>
<table-wrap position="float" id="T5">
<label>TABLE 3</label>
<caption><p>Comparison of extraction techniques on the collective antioxidant profile of polyphenols from immature and mature corn silk polyphenols.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Extraction module</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Immature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mean</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Conventional solvent extraction</td>
<td valign="top" align="center">48.54 &#x00B1; 1.12</td>
<td valign="top" align="center">41.38 &#x00B1; 1.10</td>
<td valign="top" align="center">44.96 &#x00B1; 1.19C</td>
</tr>
<tr>
<td valign="top" align="left">Ultrasound-assisted extraction</td>
<td valign="top" align="center">55.74 &#x00B1; 2.22</td>
<td valign="top" align="center">51.16 &#x00B1; 1.45</td>
<td valign="top" align="center">53.45 &#x00B1; 1.81B</td>
</tr>
<tr>
<td valign="top" align="left">Supercritical fluid extraction</td>
<td valign="top" align="center">76.88 &#x00B1; 2.24</td>
<td valign="top" align="center">62.28 &#x00B1; 1.01</td>
<td valign="top" align="center">69.58 &#x00B1; 1.90A</td>
</tr>
<tr>
<td/>
<td valign="top" align="center">60.39 &#x00B1; 3.31A</td>
<td valign="top" align="center">51.61 &#x00B1; 2.20B</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are expressed as mean &#x00B1; standard deviation (n = 3). Values in the same column within each parameter with different letters were significantly different from each other (p &#x2264; 0.05). Two-way repeated measure ANOVA showed a significant effect of the extraction techniques [F(112.17) = p &#x003C; 0.001], a significant effect of the stage of picking [(40.31) p = 0.0000], and a non-significant interaction between factors (F5.10) = p = 0.0250).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4.SS1.SSS3">
<title>Antioxidant potential of mature and immature corn silk extracts</title>
<p>The below tables represent the effect of treatments on TPC, TFC, DPPH, FRAP, and ABTS assays of the mature and immature corn silk extracts, respectively. The treatment with the highest TPC value was the supercritical fluid extract, while lower values were observed in the ultrasonicated extraction technique (<xref ref-type="table" rid="T6">Table 4</xref>). Further decreased values were found to be for the conventionally extracted extracts. A similar trend was observed for the TFC, which showed the peak values for the supercritical fluid extraction to be the same as the former. Also seen in the DPPH (<xref ref-type="table" rid="T7">Table 5</xref>) and FRAP (<xref ref-type="table" rid="T8">Table 6</xref>) was the same trend as the TPC, showing maximum extraction in the supercritical fluid technique (T<sub>9</sub>S<sub>2</sub>), followed by the ultrasound (T<sub>6</sub>S<sub>1</sub> and T<sub>6</sub>S<sub>2</sub>) and conventional (T<sub>3</sub>S<sub>1</sub> and T<sub>3</sub>S<sub>2</sub>) techniques. The highest mean values for the TPC of the mature and immature corn silk extracts displayed by the supercritical fluid extraction presented the values to be 143.8917 &#x00B1; 2.32 (immature) and 112.2672 &#x00B1; 2.07 (mature) mg/GAE 100 g for the extract T<sub>9</sub>S<sub>2</sub>. Similar results were obtained for TFCs (<xref ref-type="table" rid="T9">Table 7</xref>) for the extract T<sub>9</sub>S<sub>2</sub> to be 97.0109 &#x00B1; 1.99 (immature) and 76.45491 &#x00B1; 2.22 (mature) mg CE/100 g. The values of DPPH, FRAP, and ABTS (<xref ref-type="table" rid="T10">Table 8</xref>) showed the same trend followed by the TPC and TFC as mentioned earlier. The values of DPPH were found to be 117.0109 &#x00B1; 4.52% (immature) and 96.45491 &#x00B1; 2.57% (mature), that of FRAP were noted to be 80.64263 &#x00B1; 2.11 (immature) and 66.41158 &#x00B1; 1.90 (mature) &#x03BC;M (Fe + 2/g), while that of ABTS were presented as 1.206477 &#x00B1; 0.228 (immature) and 1.200152 &#x00B1; 0.902 (mature) &#x03BC;M TE/g.</p>
<table-wrap position="float" id="T6">
<label>TABLE 4</label>
<caption><p>Comparison of total phenolic contents (mg/100 g gallic acid equivalent) of mature and immature corn silk extracted through different extraction technologies.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Treatments</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Immature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mean</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Conventional</bold></td>
</tr>
<tr>
<td valign="top" align="left">T1S1</td>
<td valign="top" align="center">75.01 &#x00B1; 4.09</td>
<td valign="top" align="center">64.12 &#x00B1; 2.01</td>
<td valign="top" align="center">69.50 &#x00B1; 1.90F</td>
</tr>
<tr>
<td valign="top" align="left">T1S2</td>
<td valign="top" align="center">95.29 &#x00B1; 3.28</td>
<td valign="top" align="center">81.31 &#x00B1; 2.22</td>
<td valign="top" align="center">88.30 &#x00B1; 3.02C</td>
</tr>
<tr>
<td valign="top" align="left">T2S1</td>
<td valign="top" align="center">78.75 &#x00B1; 1.08</td>
<td valign="top" align="center">67.20 &#x00B1; 2.77</td>
<td valign="top" align="center">72.98 &#x00B1; 2.65E</td>
</tr>
<tr>
<td valign="top" align="left">T2S2</td>
<td valign="top" align="center">104.82 &#x00B1; 1.80</td>
<td valign="top" align="center">89.44 &#x00B1; 1.95</td>
<td valign="top" align="center">97.13 &#x00B1; 2.41B</td>
</tr>
<tr>
<td valign="top" align="left">T3S1</td>
<td valign="top" align="center">86.63 &#x00B1; 2.70</td>
<td valign="top" align="center">73.92 &#x00B1; 2.38</td>
<td valign="top" align="center">80.27 &#x00B1; 1.72D</td>
</tr>
<tr>
<td valign="top" align="left">T3S2</td>
<td valign="top" align="center">115.30 &#x00B1; 2.59</td>
<td valign="top" align="center">98.39 &#x00B1; 2.62</td>
<td valign="top" align="center">106.84 &#x00B1; 2.77A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">92.63 &#x00B1; 6.25A</td>
<td valign="top" align="center">79.06 &#x00B1; 3.21B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Ultrasound</bold></td>
</tr>
<tr>
<td valign="top" align="left">T4s1</td>
<td valign="top" align="center">85.18 &#x00B1; 1.05</td>
<td valign="top" align="center">69.23 &#x00B1; 0.49</td>
<td valign="top" align="center">77.91 &#x00B1; 0.67D</td>
</tr>
<tr>
<td valign="top" align="left">T4s2</td>
<td valign="top" align="center">104.13 &#x00B1; 3.75</td>
<td valign="top" align="center">84.53 &#x00B1; 1.59</td>
<td valign="top" align="center">94.33 &#x00B1; 1.29B</td>
</tr>
<tr>
<td valign="top" align="left">T5S1</td>
<td valign="top" align="center">97.32 &#x00B1; 0.96</td>
<td valign="top" align="center">73.83 &#x00B1; 0.91</td>
<td valign="top" align="center">82.39 &#x00B1; 0.72CD</td>
</tr>
<tr>
<td valign="top" align="left">T5S2</td>
<td valign="top" align="center">111.42 &#x00B1; 4.67</td>
<td valign="top" align="center">90.45 &#x00B1; 0.68</td>
<td valign="top" align="center">100.93 &#x00B1; 2.41AB</td>
</tr>
<tr>
<td valign="top" align="left">T6S1</td>
<td valign="top" align="center">97.32 &#x00B1; 2.77</td>
<td valign="top" align="center">78.10 &#x00B1; 2.38</td>
<td valign="top" align="center">88.16 &#x00B1; 1.95C</td>
</tr>
<tr>
<td valign="top" align="left">T6S2</td>
<td valign="top" align="center">119.22 &#x00B1; 2.66</td>
<td valign="top" align="center">96.78 &#x00B1; 2.34</td>
<td valign="top" align="center">107.10 &#x00B1; 2.75A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">102.43 &#x00B1; 2.25A</td>
<td valign="top" align="center">82.15 &#x00B1; 4.21B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Supercritical fluid extraction</bold></td>
</tr>
<tr>
<td valign="top" align="left">T7S2</td>
<td valign="top" align="center">118.99 &#x00B1; 5.75</td>
<td valign="top" align="center">92.78 &#x00B1; 1.55</td>
<td valign="top" align="center">105.85 &#x00B1; 1.73B</td>
</tr>
<tr>
<td valign="top" align="left">T8S2</td>
<td valign="top" align="center">130.81 &#x00B1; 3.30</td>
<td valign="top" align="center">102.06 &#x00B1; 2.47</td>
<td valign="top" align="center">116.44 &#x00B1; 3.89AB</td>
</tr>
<tr>
<td valign="top" align="left">T9S2</td>
<td valign="top" align="center">143.89 &#x00B1; 2.32</td>
<td valign="top" align="center">112.27 &#x00B1; 2.07</td>
<td valign="top" align="center">128.08 &#x00B1; 3.74A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">131.23 &#x00B1; 6.45A</td>
<td valign="top" align="center">102.37 &#x00B1; 3.25B</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are expressed as mean &#x00B1; standard deviation (n = 3). Values in the same column within each parameter with different letters were significantly different from each other (p &#x2264; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T7">
<label>TABLE 5</label>
<caption><p>Comparison of DPPH activity (%) of mature and immature corn silk extracted through different extraction technologies.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Treatments</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Immature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mean</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Conventional</bold></td>
</tr>
<tr>
<td valign="top" align="left">T1S1</td>
<td valign="top" align="center">55.16 &#x00B1; 1.75</td>
<td valign="top" align="center">49.97 &#x00B1; 1.82</td>
<td valign="top" align="center">52.28 &#x00B1; 2.20E</td>
</tr>
<tr>
<td valign="top" align="left">T1S2</td>
<td valign="top" align="center">69.88 &#x00B1; 0.38</td>
<td valign="top" align="center">62.25 &#x00B1; 1.44</td>
<td valign="top" align="center">66.07 &#x00B1; 2.18C</td>
</tr>
<tr>
<td valign="top" align="left">T2S1</td>
<td valign="top" align="center">57.75 &#x00B1; 0.27</td>
<td valign="top" align="center">51.45 &#x00B1; 0.84</td>
<td valign="top" align="center">54.60 &#x00B1; 1.55ED</td>
</tr>
<tr>
<td valign="top" align="left">T2S2</td>
<td valign="top" align="center">76.87 &#x00B1; 0.49</td>
<td valign="top" align="center">68.48 &#x00B1; 0.76</td>
<td valign="top" align="center">72.67 &#x00B1; 0.96AB</td>
</tr>
<tr>
<td valign="top" align="left">T3S1</td>
<td valign="top" align="center">63.52 &#x00B1; 1.71</td>
<td valign="top" align="center">56.60 &#x00B1; 0.43</td>
<td valign="top" align="center">60.06 &#x00B1; 1.02D</td>
</tr>
<tr>
<td valign="top" align="left">T3S2</td>
<td valign="top" align="center">84.55 &#x00B1; 1.15</td>
<td valign="top" align="center">75.33 &#x00B1; 1.14</td>
<td valign="top" align="center">79.94 &#x00B1; 0.96A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">67.95 &#x00B1; 1.01A</td>
<td valign="top" align="center">60.68 &#x00B1; 2.20B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Ultrasound</bold></td>
</tr>
<tr>
<td valign="top" align="left">T4s1</td>
<td valign="top" align="center">65.25 &#x00B1; 1.15</td>
<td valign="top" align="center">55.02 &#x00B1; 2.48</td>
<td valign="top" align="center">60.61 &#x00B1; 1.50C</td>
</tr>
<tr>
<td valign="top" align="left">T4s2</td>
<td valign="top" align="center">69.84 &#x00B1; 1.69</td>
<td valign="top" align="center">67.38 &#x00B1; 1.17</td>
<td valign="top" align="center">68.61 &#x00B1; 1.41AB</td>
</tr>
<tr>
<td valign="top" align="left">T5S1</td>
<td valign="top" align="center">61.90 &#x00B1; 0.80</td>
<td valign="top" align="center">58.85 &#x00B1; 1.08</td>
<td valign="top" align="center">59.93 &#x00B1; 1.90C</td>
</tr>
<tr>
<td valign="top" align="left">T5S2</td>
<td valign="top" align="center">74.73 &#x00B1; 0.78</td>
<td valign="top" align="center">72.09 &#x00B1; 0.79</td>
<td valign="top" align="center">73.41 &#x00B1; 0.51A</td>
</tr>
<tr>
<td valign="top" align="left">T6S1</td>
<td valign="top" align="center">65.27 &#x00B1; 0.58</td>
<td valign="top" align="center">62.97 &#x00B1; 0.79</td>
<td valign="top" align="center">64.12 &#x00B1; 0.72B</td>
</tr>
<tr>
<td valign="top" align="left">T6S2</td>
<td valign="top" align="center">79.96 &#x00B1; 0.41</td>
<td valign="top" align="center">77.14 &#x00B1; 0.64</td>
<td valign="top" align="center">78.55 &#x00B1; 0.28A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">69.49 &#x00B1; 1.23A</td>
<td valign="top" align="center">55.57 &#x00B1; 2.90B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Supercritical fluid extraction</bold></td>
</tr>
<tr>
<td valign="top" align="left">T7S2</td>
<td valign="top" align="center">96.70 &#x00B1; 2.04</td>
<td valign="top" align="center">79.71 &#x00B1; 0.62</td>
<td valign="top" align="center">88.21 &#x00B1; 0.52C</td>
</tr>
<tr>
<td valign="top" align="left">T8S2</td>
<td valign="top" align="center">106.37 &#x00B1; 1.52</td>
<td valign="top" align="center">87.69 &#x00B1; 1.94</td>
<td valign="top" align="center">97.02 &#x00B1; 1.45B</td>
</tr>
<tr>
<td valign="top" align="left">T9S2</td>
<td valign="top" align="center">117.01 &#x00B1; 4.52</td>
<td valign="top" align="center">96.45 &#x00B1; 2.57</td>
<td valign="top" align="center">106.73 &#x00B1; 5.10A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">106.69 &#x00B1; 5.15A</td>
<td valign="top" align="center">87.95 &#x00B1; 3.18B</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are expressed as mean &#x00B1; standard deviation (n = 3). Values in the same column within each parameter with different letters were significantly different from each other (p &#x2264; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T8">
<label>TABLE 6</label>
<caption><p>Comparison of FRAP (&#x03BC;M Fe + 2/g) of mature and immature corn silk extracted through different extraction technologies.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Treatments</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Immature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mean</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Conventional</bold></td>
</tr>
<tr>
<td valign="top" align="left">T1S1</td>
<td valign="top" align="center">35.17 &#x00B1; 0.24</td>
<td valign="top" align="center">28.65 &#x00B1; 0.62</td>
<td valign="top" align="center">31.51 &#x00B1; 0.52E</td>
</tr>
<tr>
<td valign="top" align="left">T1S2</td>
<td valign="top" align="center">44.47 &#x00B1; 1.69</td>
<td valign="top" align="center">35.57 &#x00B1; 0.84</td>
<td valign="top" align="center">40.02 &#x00B1; 1.55C</td>
</tr>
<tr>
<td valign="top" align="left">T2S1</td>
<td valign="top" align="center">36.75 &#x00B1; 0.79</td>
<td valign="top" align="center">29.48 &#x00B1; 0.50</td>
<td valign="top" align="center">33.08 &#x00B1; 0.78D</td>
</tr>
<tr>
<td valign="top" align="left">T2S2</td>
<td valign="top" align="center">48.91 &#x00B1; 2.18</td>
<td valign="top" align="center">39.13 &#x00B1; 0.51</td>
<td valign="top" align="center">44.02 &#x00B1; 0.38B</td>
</tr>
<tr>
<td valign="top" align="left">T3S1</td>
<td valign="top" align="center">40.43 &#x00B1; 1.55</td>
<td valign="top" align="center">32.34 &#x00B1; 0.31</td>
<td valign="top" align="center">36.38 &#x00B1; 1.08CD</td>
</tr>
<tr>
<td valign="top" align="left">T3S2</td>
<td valign="top" align="center">53.81 &#x00B1; 1.41</td>
<td valign="top" align="center">43.04 &#x00B1; 0.81</td>
<td valign="top" align="center">48.43 &#x00B1; 1.14A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">43.25 &#x00B1; 2.29A</td>
<td valign="top" align="center">34.70 &#x00B1; 1.10B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Ultrasound</bold></td>
</tr>
<tr>
<td valign="top" align="left">T4s1</td>
<td valign="top" align="center">45.15 &#x00B1; 0.84</td>
<td valign="top" align="center">38.44 &#x00B1; 0.27</td>
<td valign="top" align="center">41.59 &#x00B1; 0.89D</td>
</tr>
<tr>
<td valign="top" align="left">T4s2</td>
<td valign="top" align="center">69.84 &#x00B1; 0.43</td>
<td valign="top" align="center">76.71 &#x00B1; 1.15</td>
<td valign="top" align="center">73.27 &#x00B1; 0.66B</td>
</tr>
<tr>
<td valign="top" align="left">T5S1</td>
<td valign="top" align="center">61.87 &#x00B1; 1.47</td>
<td valign="top" align="center">67.46 &#x00B1; 1.44</td>
<td valign="top" align="center">64.11 &#x00B1; 1.55C</td>
</tr>
<tr>
<td valign="top" align="left">T5S2</td>
<td valign="top" align="center">74.73 &#x00B1; 1.90</td>
<td valign="top" align="center">82.08 &#x00B1; 2.01</td>
<td valign="top" align="center">78.40 &#x00B1; 0.97AB</td>
</tr>
<tr>
<td valign="top" align="left">T6S1</td>
<td valign="top" align="center">65.28 &#x00B1; 0.99</td>
<td valign="top" align="center">71.69 &#x00B1; 0.79</td>
<td valign="top" align="center">68.48 &#x00B1; 0.88BC</td>
</tr>
<tr>
<td valign="top" align="left">T6S2</td>
<td valign="top" align="center">79.96 &#x00B1; 1.22</td>
<td valign="top" align="center">87.82 &#x00B1; 1.98</td>
<td valign="top" align="center">83.89 &#x00B1; 2.03A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">66.13 &#x00B1; 1.10A</td>
<td valign="top" align="center">70.70 &#x00B1; 3.10B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Supercritical fluid extraction</bold></td>
</tr>
<tr>
<td valign="top" align="left">T7S2</td>
<td valign="top" align="center">66.65 &#x00B1; 0.99</td>
<td valign="top" align="center">54.89 &#x00B1; 2.30</td>
<td valign="top" align="center">60.77 &#x00B1; 1.55C</td>
</tr>
<tr>
<td valign="top" align="left">T8S2</td>
<td valign="top" align="center">73.31 &#x00B1; 1.67</td>
<td valign="top" align="center">60.37 &#x00B1; 1.92</td>
<td valign="top" align="center">66.84 &#x00B1; 0.97B</td>
</tr>
<tr>
<td valign="top" align="left">T9S2</td>
<td valign="top" align="center">80.64 &#x00B1; 2.11</td>
<td valign="top" align="center">66.41 &#x00B1; 1.90</td>
<td valign="top" align="center">73.53 &#x00B1; 2.33A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">73.53 &#x00B1; 1.04A</td>
<td valign="top" align="center">60.55 &#x00B1; 2.20B</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are expressed as mean &#x00B1; standard deviation (n = 3). Values in the same column within each parameter with different letters were significantly different from each other (p &#x2264; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T9">
<label>TABLE 7</label>
<caption><p>Comparison of total flavonoid contents (mg CE/100 g) of mature and immature corn silk extracted through different extraction technologies.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Treatments</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Immature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mean</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Conventional</bold></td>
</tr>
<tr>
<td valign="top" align="left">T1S1</td>
<td valign="top" align="center">25.91 &#x00B1; 0.24</td>
<td valign="top" align="center">19.79 &#x00B1; 0.55</td>
<td valign="top" align="center">22.55 &#x00B1; 0.19D</td>
</tr>
<tr>
<td valign="top" align="left">T1S2</td>
<td valign="top" align="center">39.88 &#x00B1; 0.99</td>
<td valign="top" align="center">32.25 &#x00B1; 0.89</td>
<td valign="top" align="center">36.07 &#x00B1; 0.28B</td>
</tr>
<tr>
<td valign="top" align="left">T2S1</td>
<td valign="top" align="center">27.75 &#x00B1; 0.24</td>
<td valign="top" align="center">21.45 &#x00B1; 0.56</td>
<td valign="top" align="center">24.61 &#x00B1; 0.33CD</td>
</tr>
<tr>
<td valign="top" align="left">T2S2</td>
<td valign="top" align="center">46.87 &#x00B1; 1.09</td>
<td valign="top" align="center">38.48 &#x00B1; 0.45</td>
<td valign="top" align="center">42.67 &#x00B1; 1.90AB</td>
</tr>
<tr>
<td valign="top" align="left">T3S1</td>
<td valign="top" align="center">33.53 &#x00B1; 0.77</td>
<td valign="top" align="center">26.60 &#x00B1; 0.71</td>
<td valign="top" align="center">30.06 &#x00B1; 0.22C</td>
</tr>
<tr>
<td valign="top" align="left">T3S2</td>
<td valign="top" align="center">54.55 &#x00B1; 1.02</td>
<td valign="top" align="center">45.33 &#x00B1; 0.67</td>
<td valign="top" align="center">49.94 &#x00B1; 0.11A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">30.08 &#x00B1; 1.12A</td>
<td valign="top" align="center">30.65 &#x00B1; 1.20B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Ultrasound</bold></td>
</tr>
<tr>
<td valign="top" align="left">T4s1</td>
<td valign="top" align="center">35.61 &#x00B1; 0.09</td>
<td valign="top" align="center">25.29 &#x00B1; 0.88</td>
<td valign="top" align="center">30.17 &#x00B1; 0.19D</td>
</tr>
<tr>
<td valign="top" align="left">T4s2</td>
<td valign="top" align="center">39.84 &#x00B1; 0.18</td>
<td valign="top" align="center">37.38 &#x00B1; 1.11</td>
<td valign="top" align="center">38.61 &#x00B1; 0.89B</td>
</tr>
<tr>
<td valign="top" align="left">T5S1</td>
<td valign="top" align="center">31.90 &#x00B1; 0.76</td>
<td valign="top" align="center">28.85 &#x00B1; 0.58</td>
<td valign="top" align="center">29.93 &#x00B1; 0.67</td>
</tr>
<tr>
<td valign="top" align="left">T5S2</td>
<td valign="top" align="center">44.73 &#x00B1; 1.09</td>
<td valign="top" align="center">42.09 &#x00B1; 1.89</td>
<td valign="top" align="center">43.41 &#x00B1; 1.20A</td>
</tr>
<tr>
<td valign="top" align="left">T6S1</td>
<td valign="top" align="center">35.27 &#x00B1; 1.22</td>
<td valign="top" align="center">32.97 &#x00B1; 1.90</td>
<td valign="top" align="center">34.12 &#x00B1; 0.28C</td>
</tr>
<tr>
<td valign="top" align="left">T6S2</td>
<td valign="top" align="center">49.96 &#x00B1; 1.88</td>
<td valign="top" align="center">47.14 &#x00B1; 1.35</td>
<td valign="top" align="center">48.55 &#x00B1; 1.06A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">39.55 &#x00B1; 1.06A</td>
<td valign="top" align="center">35.62 &#x00B1; 2.20B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Supercritical fluid extraction</bold></td>
</tr>
<tr>
<td valign="top" align="left">T7S2</td>
<td valign="top" align="center">66.70 &#x00B1; 2.90</td>
<td valign="top" align="center">49.71 &#x00B1; 1.38</td>
<td valign="top" align="center">58.20 &#x00B1; 1.99C</td>
</tr>
<tr>
<td valign="top" align="left">T8S2</td>
<td valign="top" align="center">76.37 &#x00B1; 2.33</td>
<td valign="top" align="center">67.69 &#x00B1; 2.10</td>
<td valign="top" align="center">72.03 &#x00B1; 2.91B</td>
</tr>
<tr>
<td valign="top" align="left">T9S2</td>
<td valign="top" align="center">97.01 &#x00B1; 1.99</td>
<td valign="top" align="center">76.45 &#x00B1; 2.22</td>
<td valign="top" align="center">86.73 &#x00B1; 2.75A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">80.02 &#x00B1; 1.02A</td>
<td valign="top" align="center">64.61 &#x00B1; 2.20B</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are expressed as mean &#x00B1; standard deviation (n = 3). Values in the same column within each parameter with different letters were significantly different from each other (p &#x2264; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T10">
<label>TABLE 8</label>
<caption><p>Comparison of ABTS (&#x03BC;M TE/g) of mature and immature corn silk extracted through different extraction technologies.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Treatments</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Immature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mature corn silk</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Mean</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Conventional</bold></td>
</tr>
<tr>
<td valign="top" align="left">T1S1</td>
<td valign="top" align="center">0.746 &#x00B1; 0.006</td>
<td valign="top" align="center">1.483 &#x00B1; 0.002</td>
<td valign="top" align="center">1.115 &#x00B1; 0.005F</td>
</tr>
<tr>
<td valign="top" align="left">T1S2</td>
<td valign="top" align="center">0.948 &#x00B1; 0.007</td>
<td valign="top" align="center">1.884 &#x00B1; 0.004</td>
<td valign="top" align="center">1.416 &#x00B1; 0.019E</td>
</tr>
<tr>
<td valign="top" align="left">T2S1</td>
<td valign="top" align="center">0.783 &#x00B1; 0.008</td>
<td valign="top" align="center">1.557 &#x00B1; 0.029</td>
<td valign="top" align="center">1.170 &#x00B1; 0.001D</td>
</tr>
<tr>
<td valign="top" align="left">T2S2</td>
<td valign="top" align="center">1.043 &#x00B1; 0.002</td>
<td valign="top" align="center">2.073 &#x00B1; 0.005</td>
<td valign="top" align="center">1.558 &#x00B1; 0.010C</td>
</tr>
<tr>
<td valign="top" align="left">T3S1</td>
<td valign="top" align="center">0.8620.003</td>
<td valign="top" align="center">1.713 &#x00B1; 0.040</td>
<td valign="top" align="center">1.287 &#x00B1; 0.007B</td>
</tr>
<tr>
<td valign="top" align="left">T3S2</td>
<td valign="top" align="center">1.147 &#x00B1; 0.012</td>
<td valign="top" align="center">2.280 &#x00B1; 0.009</td>
<td valign="top" align="center">1.713 &#x00B1; 0.019A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">0.921 &#x00B1; 0.01A</td>
<td valign="top" align="center">1.831 &#x00B1; 0.03B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Ultrasound</bold></td>
</tr>
<tr>
<td valign="top" align="left">T4s1</td>
<td valign="top" align="center">0.756 &#x00B1; 0.018</td>
<td valign="top" align="center">1.423 &#x00B1; 0.014</td>
<td valign="top" align="center">1.0895 &#x00B1; 0.001E</td>
</tr>
<tr>
<td valign="top" align="left">T4s2</td>
<td valign="top" align="center">1.091 &#x00B1; 0.023</td>
<td valign="top" align="center">2.218 &#x00B1; 0.091</td>
<td valign="top" align="center">1.651 &#x00B1; 0.005B</td>
</tr>
<tr>
<td valign="top" align="left">T5S1</td>
<td valign="top" align="center">0.897 &#x00B1; 0.109</td>
<td valign="top" align="center">1.595 &#x00B1; 0.004</td>
<td valign="top" align="center">1.246 &#x00B1; 0.128D</td>
</tr>
<tr>
<td valign="top" align="left">T5S2</td>
<td valign="top" align="center">1.221 &#x00B1; 0.120</td>
<td valign="top" align="center">1.193 &#x00B1; 0.008</td>
<td valign="top" align="center">1.207 &#x00B1; 0.002D</td>
</tr>
<tr>
<td valign="top" align="left">T6S1</td>
<td valign="top" align="center">0.901 &#x00B1; 0.017</td>
<td valign="top" align="center">2.091 &#x00B1; 0.156</td>
<td valign="top" align="center">1.496 &#x00B1; 0.172C</td>
</tr>
<tr>
<td valign="top" align="left">T6S2</td>
<td valign="top" align="center">1.998 &#x00B1; 0.001</td>
<td valign="top" align="center">2.266 &#x00B1; 0.029</td>
<td valign="top" align="center">2.132 &#x00B1; 0.034A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">1.144 &#x00B1; 0.10A</td>
<td valign="top" align="center">1.920 &#x00B1; 0.05B</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4" style="background-color: #dcdcdc;"><bold>Supercritical fluid extraction</bold></td>
</tr>
<tr>
<td valign="top" align="left">T7S2</td>
<td valign="top" align="center">0.997 &#x00B1; 0.090</td>
<td valign="top" align="center">0.992 &#x00B1; 0.078</td>
<td valign="top" align="center">0.994 &#x00B1; 0.109C</td>
</tr>
<tr>
<td valign="top" align="left">T8S2</td>
<td valign="top" align="center">1.097 &#x00B1; 0.219</td>
<td valign="top" align="center">1.091 &#x00B1; 0.277</td>
<td valign="top" align="center">1.094 &#x00B1; 0.781B</td>
</tr>
<tr>
<td valign="top" align="left">T9S2</td>
<td valign="top" align="center">1.206 &#x00B1; 0.228</td>
<td valign="top" align="center">1.200 &#x00B1; 0.902</td>
<td valign="top" align="center">1.203 &#x00B1; 0.182A</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">1.10 &#x00B1; 0.04A</td>
<td valign="top" align="center">1.09 &#x00B1; 0.01B</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Values are expressed as mean &#x00B1; standard deviation (n = 3). Values in the same column within each parameter with different letters were significantly different from each other (p &#x2264; 0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S4.SS1.SSS4">
<title>HPLC quantification of ferulic acid in corn silk</title>
<p>The statistical analysis of corn silk bioactive components displayed considerable differences in the ferulic acid content of the extracts obtained through different techniques. The varying solvents i.e., methanol and water, and their respective ratios showed ferulic acid as having the highest recovery in aqueous methanolic extract among all the techniques. Among the extraction techniques, supercritical fluid extraction showed the highest quantity of ferulic acid, compared to the conventional and UAE techniques (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>HPLC quantification of ferulic acid from corn silks. Values for ferulic acid characterized through reverse phase HPLC in &#x03BC;g/g. Two solvents and three extraction techniques were applied. Values are mean &#x00B1; SEM (<italic>n</italic> = 03) and the level of significance was determined at (<italic>p</italic> &#x2264; 0.05).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1107067-g001.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="S5" sec-type="discussion">
<title>Discussion</title>
<p>This research might be the first to highlight the impact of different extraction techniques (supercritical fluid, ultrasonication, and conventional) and their parameters of extraction and isolation of corn silk polyphenols. Moreover, their maturity and immaturity were also discussed according to the different extraction techniques in the light of the study. The results of the current study found an ethanolic solution for extraction to be much more effective, compared to the other solvents. Similar results, as in the study conducted by Humadi and Istudor (<xref ref-type="bibr" rid="B27">27</xref>), were obtained for the extracts obtained from a methanolic solution, which displayed lower TPCs in both the mature and the immature corn silk extracts when compared to the aqueous extracts, noting the values to be 40.38 + 1.10 &#x03BC;g/g of TAE lower than 42.71 + 0.87 &#x03BC;g/g of TAE. The extraction procedure involved in this ongoing study utilized different solvents and techniques as in the study conducted by Das et al. (<xref ref-type="bibr" rid="B28">28</xref>). The use of different solvents led to greater extractions of the required polyphenols, which elevated the antioxidant potential of the corn silk extracts (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Moreover, the affinity of the phenols for similar polarity solvents plays an important role in extraction processes (<xref ref-type="bibr" rid="B31">31</xref>). The possibility of having lower antioxidants might be due to the limitations of utilizing the whole corn silks due to hygienic issues; however, the yellow color imparting corn silks providing the flavones and the flavonols can be of great importance. The polyphenols which present as antioxidants also play a vital role in chelating metals and scavenging free radicals (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). On the other hand, there can still be several factors like fertilization, soil conditions, size, maturity, season, etc., which may affect the antioxidant potential of corn silk. According to earlier studies (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>), the ethanolic method is greatly used for extraction purposes. The extraction of the polyphenols and the flavonoids depended on the different extraction conditions including extraction time and extraction temperature, as well as the pressure and amplitude in some of the extraction techniques (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Insufficient time for extraction may yield lower concentrations of flavonoids; thus, it is best to have an optimum temperature and time for carrying out the proper extraction procedure. In a study carried out earlier on the optimum condition for the extraction of corn silks, it was found that 5.32 mg of the total flavonoids was extracted from 1 g of corn silk (<xref ref-type="bibr" rid="B39">39</xref>). The different polarities of different solvents allowed for the diffusion of various constituents of the material in the plant and thus helped with the extraction yield as well. In a previous investigation, the percentage of the radical scavenging activity (DPPH) was observed to rise with larger concentrations of the extract in all samples. The methanolic extract had the greatest DPPH activity in the research, followed by the ethanolic and aqueous extracts. The values noted were 140.89 &#x03BC;g/ml, 143.55 &#x03BC;g/ml, and 195.21 &#x03BC;g/ml, respectively.</p>
</sec>
<sec id="S6" sec-type="conclusion">
<title>Conclusion and recommendations</title>
<p>With the advancement of technology, the extraction from several plant varieties has become quite easier than in the earlier days. The wide use of microwave-assisted, ultrasound, and supercritical fluid extraction is now taking the place of the conventional techniques used in older days. Utilizing plant sources for their beneficial antioxidants has been carried out around the world by several researchers and scientists. Our study comprising of the extraction of polyphenols from the corn silk has provided new insight into the beneficial aspects of the rarely used part, the corn silk of the corn scientifically known as the <italic>Zea mays</italic>. The study of the antioxidant potential of these corn hairs or the corn silk has displayed a potent scavenging free radical effect, chelating of the catalytic metal ions, and also exerting a therapeutic effect against the oxidative stress/damage to the cellular macromolecules. The chemical examination of the different varieties of extracts showed the presence of polyphenols and flavonoids, imposing the antioxidant characteristic of the plant material thereof. The greater scavenging power of the corn silk may be possible because of the hydroxyl group that exists in the phenolic compounds. Thus, these seldomly utilized parts of the corn (<italic>Zea mays</italic> L.) named corn silk can be of great importance due to their antioxidant potential. From a future perspective, extensive characterization of the by-products through GC-MR spectroscopy can be carried out for elucidating the potential polyphenolics for further utilization.</p>
</sec>
<sec id="S7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>NF: conceptualization and writing&#x2014;original draft. AI: supervision, writing&#x2014;original draft and review, and editing. MUA: validation and methodology. MSA: formal analysis, investigation, and resources. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Government College University Faisalabad, Pakistan.</p>
</sec>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Usman</surname> <given-names>I</given-names></name> <name><surname>Imran</surname> <given-names>A</given-names></name> <name><surname>Arshad</surname> <given-names>MU</given-names></name> <name><surname>Saeed</surname> <given-names>F</given-names></name> <name><surname>Afzaal</surname> <given-names>M</given-names></name> <name><surname>Sana</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>Valorization of mustard and sesame oilseed cakes for food application through eco-innovative technologies.</article-title> <source><italic>Food Sci Nutr.</italic></source> (<year>2023</year>). <pub-id pub-id-type="doi">10.1002/fsn3.3214</pub-id> <pub-id pub-id-type="pmid">37051338</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Naqvi</surname> <given-names>S</given-names></name> <name><surname>Ramessar</surname> <given-names>K</given-names></name> <name><surname>Farr&#x00E9;</surname> <given-names>G</given-names></name> <name><surname>Sabalza</surname> <given-names>M</given-names></name> <name><surname>Miralpeix</surname> <given-names>B</given-names></name> <name><surname>Twyman</surname> <given-names>RM</given-names></name><etal/></person-group> <article-title>High-value products from transgenic maize.</article-title> <source><italic>Biotechnol Adv.</italic></source> (<year>2011</year>) <volume>29</volume>:<fpage>40</fpage>&#x2013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1016/j.biotechadv.2010.08.009</pub-id> <pub-id pub-id-type="pmid">20816943</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Voca</surname> <given-names>N</given-names></name> <name><surname>Varga</surname> <given-names>B</given-names></name> <name><surname>Kricka</surname> <given-names>T</given-names></name> <name><surname>Curic</surname> <given-names>D</given-names></name> <name><surname>Jurisic</surname> <given-names>V</given-names></name> <name><surname>Matin</surname> <given-names>A</given-names></name></person-group>. <article-title>Progress in ethanol production from corn kernel by applying cooking pre-treatment.</article-title> <source><italic>Bioresource Technol.</italic></source> (<year>2009</year>) <volume>100</volume>:<fpage>2712</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.biortech.2008.12.030</pub-id> <pub-id pub-id-type="pmid">19200717</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Singh</surname> <given-names>J</given-names></name> <name><surname>Inbaraj</surname> <given-names>BS</given-names></name> <name><surname>Kaur</surname> <given-names>S</given-names></name> <name><surname>Rasane</surname> <given-names>P</given-names></name> <name><surname>Nanda</surname> <given-names>V</given-names></name></person-group>. <article-title>Phytochemical analysis and characterization of corn silk (Zea mays, G5417).</article-title> <source><italic>Agronomy.</italic></source> (<year>2022</year>) <volume>12</volume>:<issue>777</issue>. <pub-id pub-id-type="doi">10.3390/agronomy12040777</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>&#x017D;ili&#x0107;</surname> <given-names>S</given-names></name> <name><surname>Jankovi&#x0107;</surname> <given-names>M</given-names></name> <name><surname>Basi&#x0107;</surname> <given-names>Z</given-names></name> <name><surname>Van&#x010D;etovi&#x0107;</surname> <given-names>J</given-names></name> <name><surname>Maksimovi&#x0107;</surname> <given-names>V</given-names></name></person-group>. <article-title>Antioxidant activity, phenolic profile, chlorophyll and mineral matter content of corn silk (<italic>Zea mays</italic> L): comparison with medicinal herbs.</article-title> <source><italic>J Cereal Sci.</italic></source> (<year>2016</year>) <volume>69</volume>:<fpage>363</fpage>&#x2013;<lpage>70</lpage>. <pub-id pub-id-type="doi">10.1016/j.jcs.2016.05.003</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maksimovi&#x0107;</surname> <given-names>ZA</given-names></name> <name><surname>Kova&#x010D;evi&#x0107;</surname> <given-names>N</given-names></name></person-group>. <article-title>Preliminary assay on the antioxidative activity of <italic>Maydis stigma</italic> extracts.</article-title> <source><italic>Fitoterapia.</italic></source> (<year>2003</year>) <volume>74</volume>:<fpage>144</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/S0367-326X</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhao</surname> <given-names>W</given-names></name> <name><surname>Yin</surname> <given-names>Y</given-names></name> <name><surname>Yu</surname> <given-names>Z</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>F</given-names></name></person-group>. <article-title>Comparison of anti-diabetic effects of polysaccharides from corn silk on normal and hyperglycemia rats.</article-title> <source><italic>Int J Biol Macromol.</italic></source> (<year>2012</year>) <volume>50</volume>:<fpage>1133</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijbiomac.2012.02.004</pub-id> <pub-id pub-id-type="pmid">22353397</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moure</surname> <given-names>A</given-names></name> <name><surname>Cruz</surname> <given-names>JM</given-names></name> <name><surname>Franco</surname> <given-names>D</given-names></name> <name><surname>Dom&#x00ED;nguez</surname> <given-names>JM</given-names></name> <name><surname>Sineiro</surname> <given-names>J</given-names></name> <name><surname>Dom&#x00ED;nguez</surname> <given-names>H</given-names></name><etal/></person-group> <article-title>Natural antioxidants from residual sources.</article-title> <source><italic>Food Chem.</italic></source> (<year>2001</year>) <volume>72</volume>:<fpage>145</fpage>&#x2013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1016/S0308-8146(00)00223-5</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sugamura</surname> <given-names>K</given-names></name> <name><surname>Keaney</surname> <given-names>JF</given-names> <suffix>Jr.</suffix></name></person-group> <article-title>Reactive oxygen species in cardiovascular disease.</article-title> <source><italic>Free Radical Biol Med.</italic></source> (<year>2011</year>) <volume>51</volume>:<fpage>978</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1016/j.freeradbiomed.2011.05.004</pub-id> <pub-id pub-id-type="pmid">21627987</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Valko</surname> <given-names>M</given-names></name> <name><surname>Leibfritz</surname> <given-names>D</given-names></name> <name><surname>Moncol</surname> <given-names>J</given-names></name> <name><surname>Cronin</surname> <given-names>MT</given-names></name> <name><surname>Mazur</surname> <given-names>M</given-names></name> <name><surname>Telser</surname> <given-names>J</given-names></name></person-group>. <article-title>Free radicals and antioxidants in normal physiological functions and human disease.</article-title> <source><italic>Int J Biochem Cell Biol.</italic></source> (<year>2007</year>) <volume>39</volume>:<fpage>44</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.1016/j.biocel.2006.07.001</pub-id> <pub-id pub-id-type="pmid">16978905</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Williams</surname> <given-names>RJ</given-names></name> <name><surname>Spencer</surname> <given-names>JP</given-names></name></person-group>. <article-title>Flavonoids, cognition, and dementia: actions, mechanisms, and potential therapeutic utility for Alzheimer disease.</article-title> <source><italic>Free Radical Biol Med.</italic></source> (<year>2012</year>) <volume>52</volume>:<fpage>35</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1016/j.freeradbiomed.2011.09.010</pub-id> <pub-id pub-id-type="pmid">21982844</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Freitas</surname> <given-names>LC</given-names></name> <name><surname>Barbosa</surname> <given-names>JR</given-names></name> <name><surname>da Costa</surname> <given-names>ALC</given-names></name> <name><surname>Bezerra</surname> <given-names>FWF</given-names></name> <name><surname>Pinto</surname> <given-names>RHH</given-names></name> <name><surname>de Carvalho Junior</surname> <given-names>RN</given-names></name></person-group>. <article-title>From waste to sustainable industry: how can agro-industrial wastes help in the development of new products?</article-title> <source><italic>Resources Conservation Recycling.</italic></source> (<year>2021</year>) <volume>169</volume>:<issue>105466</issue>. <pub-id pub-id-type="doi">10.3390/ma12040553</pub-id> <pub-id pub-id-type="pmid">30781741</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tiwari</surname> <given-names>BK</given-names></name></person-group>. <article-title>Ultrasound: a clean, green extraction technology.</article-title> <source><italic>TrAC Trends Anal Chem.</italic></source> (<year>2015</year>) <volume>71</volume>:<fpage>100</fpage>&#x2013;<lpage>9</lpage>.</citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Belwal</surname> <given-names>T</given-names></name> <name><surname>Pandey</surname> <given-names>A</given-names></name> <name><surname>Bhatt</surname> <given-names>ID</given-names></name> <name><surname>Rawal</surname> <given-names>RS</given-names></name></person-group>. <article-title>Optimized microwave assisted extraction (MAE) of alkaloids and polyphenols from Berberis roots using multiple-component analysis.</article-title> <source><italic>Sci Rep</italic></source>. (<year>2020</year>) <volume>10</volume>:<issue>917</issue>.</citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><collab>American Association of Cereal Chemists [AACC].</collab> <source><italic>Approved Methods of American Association of Cereal Chemists.</italic></source> <edition>10th ed</edition>. <publisher-loc>St. Paul, MN</publisher-loc>: <publisher-name>American Association Cereal Chemists, Inc.</publisher-name> (<year>2000</year>).</citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><collab>AOAC.</collab> <source><italic>Official Methods of Analysis of Association of Official Analytical Chemists International.</italic></source> <edition>18th ed</edition>. <publisher-loc>Arlington, VA</publisher-loc>: <publisher-name>AOAC Press</publisher-name> (<year>2006</year>).</citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rusak</surname> <given-names>G</given-names></name> <name><surname>Komes</surname> <given-names>D</given-names></name> <name><surname>Liki&#x0107;</surname> <given-names>S</given-names></name> <name><surname>Hor&#x017E;i&#x0107;</surname> <given-names>D</given-names></name> <name><surname>Kova&#x010D;</surname> <given-names>M</given-names></name></person-group>. <article-title>Phenolic content and antioxidative capacity of green and white tea extracts depending on extraction conditions and the solvent used.</article-title> <source><italic>Food Chem.</italic></source> (<year>2008</year>) <volume>110</volume>:<fpage>852</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.foodchem.2008.02.072</pub-id> <pub-id pub-id-type="pmid">26047270</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ahn</surname> <given-names>J</given-names></name> <name><surname>Choi</surname> <given-names>W</given-names></name> <name><surname>Kim</surname> <given-names>S</given-names></name> <name><surname>Ha</surname> <given-names>T</given-names></name></person-group>. <article-title>Anti-diabetic effect of watermelon (<italic>Citrullus vulgaris</italic> Schrad) on streptozotocin-induced diabetic mice.</article-title> <source><italic>Food Sci Biotechnol.</italic></source> (<year>2011</year>) <volume>20</volume>:<fpage>251</fpage>&#x2013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1007/s10068-011-0034-5</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Albu</surname> <given-names>S</given-names></name> <name><surname>Joyce</surname> <given-names>E</given-names></name> <name><surname>Paniwnyk</surname> <given-names>L</given-names></name> <name><surname>Lorimer</surname> <given-names>JP</given-names></name> <name><surname>Mason</surname> <given-names>TJ</given-names></name></person-group>. <article-title>Potential for the use of ultrasound in the extraction of antioxidants from <italic>Rosmarinus officinalis</italic> for the food and pharmaceutical industry.</article-title> <source><italic>Ultrasonics Sonochem.</italic></source> (<year>2004</year>) <volume>11</volume>:<fpage>261</fpage>&#x2013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.1016/j.ultsonch.2004.01.015</pub-id> <pub-id pub-id-type="pmid">15081992</pub-id></citation></ref>
<ref id="B20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sengul</surname> <given-names>M</given-names></name> <name><surname>Yildiz</surname> <given-names>H</given-names></name> <name><surname>Gungor</surname> <given-names>N</given-names></name> <name><surname>Cetin</surname> <given-names>B</given-names></name> <name><surname>Eser</surname> <given-names>Z</given-names></name> <name><surname>Ercisli</surname> <given-names>S</given-names></name></person-group>. <article-title>Total phenolic content, antioxidant and antimicrobial activities of some medicinal plants.</article-title> <source><italic>Pakistan J Pharmaceut Sci.</italic></source> (<year>2009</year>) <volume>22</volume>:<fpage>102</fpage>&#x2013;<lpage>6</lpage>.</citation></ref>
<ref id="B21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ghasemzadeh</surname> <given-names>A</given-names></name> <name><surname>Jaafar</surname> <given-names>HZ</given-names></name></person-group>. <article-title>Profiling of phenolic compounds and their antioxidant and anticancer activities in pandan (<italic>Pandanus amaryllifolius</italic> Roxb.) extracts from different locations of Malaysia.</article-title> <source><italic>BMC Comp Alternat Med.</italic></source> (<year>2013</year>) <volume>13</volume>:<issue>341</issue>. <pub-id pub-id-type="doi">10.1186/1472-6882-13-341</pub-id> <pub-id pub-id-type="pmid">24289290</pub-id></citation></ref>
<ref id="B22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tomsone</surname> <given-names>L</given-names></name> <name><surname>Kruma</surname> <given-names>Z</given-names></name> <name><surname>Galoburda</surname> <given-names>R</given-names></name></person-group>. <article-title>Comparison of different solvents and extraction methods for isolation of phenolic compounds from horseradish roots (<italic>Armoracia rusticana</italic>).</article-title> <source><italic>World Acad Sci Eng Technol.</italic></source> (<year>2012</year>) <volume>64</volume>:<fpage>903</fpage>&#x2013;<lpage>8</lpage>.</citation></ref>
<ref id="B23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zahnit</surname> <given-names>W</given-names></name> <name><surname>Smara</surname> <given-names>O</given-names></name> <name><surname>Bechki</surname> <given-names>L</given-names></name> <name><surname>Souici</surname> <given-names>CB</given-names></name> <name><surname>Messaoudi</surname> <given-names>M</given-names></name> <name><surname>Benchikha</surname> <given-names>N</given-names></name><etal/></person-group> <article-title>Phytochemical profiling, mineral elements, and biological activities of <italic>Artemisia campestris</italic> L. grown in Algeria.</article-title> <source><italic>Horticulturae.</italic></source> (<year>2022</year>) <volume>8</volume>:<issue>914</issue>. <pub-id pub-id-type="doi">10.3390/horticulturae8100914</pub-id></citation></ref>
<ref id="B24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hossain</surname> <given-names>MB</given-names></name> <name><surname>Brunton</surname> <given-names>NP</given-names></name> <name><surname>Barry-Ryan</surname> <given-names>C</given-names></name> <name><surname>Martin-Diana</surname> <given-names>AB</given-names></name> <name><surname>Wilkinson</surname> <given-names>M</given-names></name></person-group>. <article-title>Antioxidant activity of spice extracts and phenolics in comparison to synthetic antioxidants.</article-title> <source><italic>Rasayan J Chem</italic></source>. (<year>2008</year>) <volume>1</volume>:<fpage>751</fpage>&#x2013;<lpage>6</lpage>.</citation></ref>
<ref id="B25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baek</surname> <given-names>D</given-names></name> <name><surname>Vill&#x00E9;n</surname> <given-names>J</given-names></name> <name><surname>Shin</surname> <given-names>C</given-names></name> <name><surname>Camargo</surname> <given-names>FD</given-names></name> <name><surname>Gygi</surname> <given-names>SP</given-names></name> <name><surname>Bartel</surname> <given-names>DP</given-names></name></person-group>. <article-title>The impact of microRNAs on protein output.</article-title> <source><italic>Nature</italic></source> (<year>2008</year>) <volume>455</volume>:<fpage>64</fpage>&#x2013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1038/nature07242</pub-id> <pub-id pub-id-type="pmid">18668037</pub-id></citation></ref>
<ref id="B26"><label>26.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hosoishi</surname> <given-names>S</given-names></name> <name><surname>Rahman</surname> <given-names>M</given-names></name> <name><surname>Murakami</surname> <given-names>T</given-names></name> <name><surname>Park</surname> <given-names>SH</given-names></name> <name><surname>Kuboki</surname> <given-names>Y</given-names></name> <name><surname>Ogata</surname> <given-names>K</given-names></name></person-group>. <article-title>Winter activity of ants in an urban area of western Japan.</article-title> <source><italic>Sociobiology</italic></source>. (<year>2019</year>) <volume>66</volume>:<fpage>414</fpage>&#x2013;<lpage>9</lpage>.</citation></ref>
<ref id="B27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Humadi</surname> <given-names>SS</given-names></name> <name><surname>Istudor</surname> <given-names>V</given-names></name></person-group>. <article-title><italic>Lythrum salicaria</italic> (purple loosestrife). medicinal use, extraction and identification of its total phenolic compounds.</article-title> <source><italic>Farmacia.</italic></source> (<year>2009</year>) <volume>57</volume>:<fpage>192</fpage>&#x2013;<lpage>200</lpage>.</citation></ref>
<ref id="B28"><label>28.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Das</surname> <given-names>K</given-names></name> <name><surname>Tiwari</surname> <given-names>RKS</given-names></name> <name><surname>Shrivastava</surname> <given-names>DK</given-names></name></person-group>. <article-title>Techniques for evaluation of medicinal plant products as antimicrobial agents: current methods and future trends.</article-title> <source><italic>J Med Plants Res.</italic></source> (<year>2010</year>) <volume>4</volume>:<fpage>104</fpage>&#x2013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.5897/JMPR09.030</pub-id></citation></ref>
<ref id="B29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hodzic</surname> <given-names>Z</given-names></name> <name><surname>Pasalic</surname> <given-names>H</given-names></name> <name><surname>Memisevic</surname> <given-names>A</given-names></name> <name><surname>Srabovic</surname> <given-names>M</given-names></name> <name><surname>Saletovic</surname> <given-names>M</given-names></name> <name><surname>Poljakovic</surname> <given-names>M</given-names></name></person-group>. <article-title>The influence of total phenols content on antioxidant capacity in the whole grain extracts.</article-title> <source><italic>Eur J Sci Res.</italic></source> (<year>2009</year>) <volume>28</volume>:<fpage>471</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.foodchem.2013.11.128</pub-id> <pub-id pub-id-type="pmid">24444965</pub-id></citation></ref>
<ref id="B30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Boubekeur</surname> <given-names>S</given-names></name> <name><surname>Messaoudi</surname> <given-names>M</given-names></name> <name><surname>Awuchi</surname> <given-names>CG</given-names></name> <name><surname>Otekunrin</surname> <given-names>O</given-names></name> <name><surname>Sawicka</surname> <given-names>B</given-names></name> <name><surname>Idjeri-Mecherara</surname> <given-names>S</given-names></name><etal/></person-group> <article-title>Biological properties and polyphenols content of Algerian <italic>Cistus salviifolius</italic> L. aerial parts.</article-title> <source><italic>Eur J Biol Res.</italic></source> (<year>2022</year>) <volume>12</volume>:<fpage>163</fpage>&#x2013;<lpage>80</lpage>.</citation></ref>
<ref id="B31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Green</surname> <given-names>RJ</given-names></name></person-group>. <source><italic>Antioxidant Activity of Peanut Plant Tissues.</italic></source> (<year>2004</year>). Available online at: <ext-link ext-link-type="uri" xlink:href="http://www.lib.ncsu.edu/resolver/1840.16/371">http://www.lib.ncsu.edu/resolver/1840.16/371</ext-link></citation></ref>
<ref id="B32"><label>32.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Michalak</surname> <given-names>A</given-names></name></person-group>. <article-title>Phenolic compounds and their antioxidant activity in plants growing under heavy metal stress.</article-title> <source><italic>Polish J Environ Stud</italic></source>. (<year>2006</year>) <volume>15</volume>:<fpage>523</fpage>&#x2013;<lpage>30</lpage>.</citation></ref>
<ref id="B33"><label>33.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kavitha</surname> <given-names>A</given-names></name> <name><surname>Shanmugan</surname> <given-names>S</given-names></name> <name><surname>Awuchi</surname> <given-names>CG</given-names></name> <name><surname>Kanagaraj</surname> <given-names>C</given-names></name> <name><surname>Ravichandran</surname> <given-names>S</given-names></name></person-group>. <article-title>Synthesis and enhanced antibacterial using plant extracts with silver nanoparticles: therapeutic application.</article-title> <source><italic>Inorganic Chem Commun.</italic></source> (<year>2021</year>) <volume>134</volume>:<issue>109045</issue>. <pub-id pub-id-type="doi">10.1016/j.inoche.2021.109045</pub-id></citation></ref>
<ref id="B34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sarvarian</surname> <given-names>M</given-names></name> <name><surname>Jafarpour</surname> <given-names>A</given-names></name> <name><surname>Awuchi</surname> <given-names>CG</given-names></name> <name><surname>Adeleye</surname> <given-names>AO</given-names></name> <name><surname>Okpala</surname> <given-names>COR</given-names></name></person-group>. <article-title>Changes in physicochemical, free radical activity, total phenolic and sensory properties of orange (<italic>Citrus sinensis</italic> L.) juice fortified with different oleaster (<italic>Elaeagnus angustifolia</italic> L.) extracts.</article-title> <source><italic>Molecules.</italic></source> (<year>2022</year>) <volume>27</volume>:<issue>1530</issue>. <pub-id pub-id-type="doi">10.3390/molecules27051530</pub-id> <pub-id pub-id-type="pmid">35268631</pub-id></citation></ref>
<ref id="B35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>H</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Li</surname> <given-names>D</given-names></name> <name><surname>Wang</surname> <given-names>H</given-names></name></person-group>. <article-title>Study on separation and purification of genistein in the soybean residue using macroporous resin adsorption.</article-title> <source><italic>Industrial Eng Chem Res.</italic></source> (<year>2012</year>) <volume>51</volume>:<fpage>44</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1021/ie200057e</pub-id></citation></ref>
<ref id="B36"><label>36.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Feng</surname> <given-names>X</given-names></name> <name><surname>Wang</surname> <given-names>L</given-names></name> <name><surname>Tao</surname> <given-names>ML</given-names></name> <name><surname>Zhou</surname> <given-names>Q</given-names></name> <name><surname>Zhong</surname> <given-names>ZH</given-names></name></person-group>. <article-title>Studies on antimicrobial activity of ethanolic extract of maize silk.</article-title> <source><italic>African J Microbiol Res.</italic></source> (<year>2012</year>) <volume>6</volume>:<fpage>335</fpage>&#x2013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.18860/al.v5i4.4182</pub-id></citation></ref>
<ref id="B37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Messaoudi</surname> <given-names>M</given-names></name> <name><surname>Rebiai</surname> <given-names>A</given-names></name> <name><surname>Sawicka</surname> <given-names>B</given-names></name> <name><surname>Atanassova</surname> <given-names>M</given-names></name> <name><surname>Ouakouak</surname> <given-names>H</given-names></name> <name><surname>Larkem</surname> <given-names>I</given-names></name><etal/></person-group> <article-title>Effect of extraction methods on polyphenols, flavonoids, mineral elements, and biological activities of essential oil and extracts of <italic>Mentha pulegium</italic> L.</article-title> <source><italic>Molecules.</italic></source> (<year>2022</year>) <volume>27</volume>:<issue>11</issue>. <pub-id pub-id-type="doi">10.3390/molecules27010011</pub-id> <pub-id pub-id-type="pmid">35011242</pub-id></citation></ref>
<ref id="B38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>KJ</given-names></name> <name><surname>Zhao</surname> <given-names>JL</given-names></name></person-group>. <article-title>Corn silk (<italic>Zea mays</italic> L.), a source of natural antioxidants with &#x03B1;-amylase, &#x03B1;-glucosidase, advanced glycation and diabetic nephropathy inhibitory activities.</article-title> <source><italic>Biomed Pharmacotherapy.</italic></source> (<year>2019</year>) <volume>110</volume>:<fpage>510</fpage>&#x2013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.biopha.2018.11.126</pub-id> <pub-id pub-id-type="pmid">30530231</pub-id></citation></ref>
<ref id="B39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rostagno</surname> <given-names>MA</given-names></name> <name><surname>Palma</surname> <given-names>M</given-names></name> <name><surname>Barroso</surname> <given-names>CG</given-names></name></person-group>. <article-title>Ultrasound-assisted extraction of soy isoflavones.</article-title> <source><italic>J Chromatography A.</italic></source> (<year>2003</year>) <volume>1012</volume>:<fpage>119</fpage>&#x2013;<lpage>28</lpage>. <pub-id pub-id-type="doi">10.1016/S0021-9673(03)01184-1</pub-id> <pub-id pub-id-type="pmid">14521308</pub-id></citation></ref>
</ref-list>
</back>
</article>