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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.2022.1063602</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>Phenolic profile, alpha-amylase inhibitory activity, and <italic>in vitro</italic> glycemic index of adzuki beans</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Muhammad</surname> <given-names>Mazhar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1773008/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhu</surname> <given-names>Yong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1809843/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wen</surname> <given-names>Anyan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Na</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Qin</surname> <given-names>Likang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1329293/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences/Institute of Agro-Bioengineering, Guizhou University</institution>, <addr-line>Guiyang</addr-line>, <country>Guizhou, China</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Liquor and Food Engineering, Guizhou University</institution>, <addr-line>Guiyang</addr-line>, <country>Guizhou, China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Er Sheng Gong, Gannan Medical University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Jinle Xiang, Henan University of Science and Technology, China; Jiangping Ye, Nanchang University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Likang Qin, <email>lkqin@gzu.edu.cn</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Nutrition and Food Science Technology, a section of the journal Frontiers in Nutrition</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>1063602</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Muhammad, Zhu, Wen, Liu and Qin.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Muhammad, Zhu, Wen, Liu and Qin</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>Regular consumption of low-glycemic index (GI) foods is a common strategy for type 2 diabetes patients. To evaluate the potential application of adzuki beans in low-GI foods, the phenolic profile and alpha-amylase inhibitor (&#x03B1;-AI) activity of four varieties of adzuki beans (G24, Te Xiao Li No. 1, Gui Nong No. 1, and Qian Xiao Hei) were determined. The starch digestibility properties and <italic>in vitro</italic> glycemic index (IVGI) of these beans were also evaluated using the <italic>in vitro</italic> digestion model coupled with 3,5-dinitrosalicylic acid colorimetry. The results indicated that these adzuki beans, containing numerous phenolics, showed inhibitory activities to alpha-amylase with the &#x03B1;-AI activities between 1.760 &#x00B1; 0.044 and 3.411 &#x00B1; 0.186 U/g. The resistant starch (RS) contributed predominantly to the total starch with proportions between (69.78 &#x00B1; 2.45%) and (81.03 &#x00B1; 0.06%); Te Xiao Li No. 1 was the highest compared with the other varieties. The adzuki beans were categorized into low- or medium-GI foods, and the IVGI ranged from (39.00 &#x00B1; 0.36) to (56.76 &#x00B1; 4.21). These results suggested that adzuki beans can be used as a component of low-GI foods.</p>
</abstract>
<abstract abstract-type="graphical" id="G1">
<title>Graphical Abstract</title>
<p><graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-1063602-g005.tif" position="anchor"/></p>
</abstract>
<kwd-group>
<kwd>adzuki beans</kwd>
<kwd>phenolic compounds</kwd>
<kwd>alpha-amylase inhibitory activity</kwd>
<kwd>resistant starch</kwd>
<kwd><italic>in vitro</italic> glycemic index</kwd>
</kwd-group>
<contract-num rid="cn001">Qian Ke He Ping Tai Ren Cai [2018] 5254, [2018]5781</contract-num>
<contract-num rid="cn001">Qian Ke He zhicheng [2022] zhongdian 007</contract-num>
<contract-num rid="cn001">Qian Ke He zhicheng [2021] yiban175</contract-num>
<contract-num rid="cn001">Qian Ke He Jichu [2019]1071</contract-num>
<contract-num rid="cn001">Qian Ke He Zhicheng [2020]1Y171</contract-num>
<contract-num rid="cn001">Grant No. [2017]106</contract-num>
<contract-num rid="cn001">Qian Ke Zhong Yin Di [2022]4003</contract-num>
<contract-num rid="cn002">Qian Cai Nong [2018]81</contract-num>
<contract-sponsor id="cn001">Science and Technology Program of Guizhou Province<named-content content-type="fundref-id">10.13039/501100018555</named-content></contract-sponsor>
<contract-sponsor id="cn002">Guizhou Agriculture Research Program<named-content content-type="fundref-id">10.13039/501100013054</named-content></contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="9"/>
<ref-count count="84"/>
<page-count count="12"/>
<word-count count="8408"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1 Introduction</title>
<p>Adzuki beans (<italic>Vigna angularis</italic>) are common legumes appearing in red, white, black, and green colors (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). China is the largest cultivator and distributes these beans to Japan, Korea, the Philippines, and Malaysia (<xref ref-type="bibr" rid="B3">3</xref>). Owing to their delicious taste, these beans are widely used as ingredients in desserts and served at various celebrations, and processed adzuki beans are used more excessively compared with their raw counterpart (<xref ref-type="bibr" rid="B4">4</xref>). Adzuki beans contain an abundance of resistant starch (RS), which provides health benefits to type 2 diabetes patients (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>), and the RS contributes approximately 50% to the total starch (TS) in beans (<xref ref-type="bibr" rid="B7">7</xref>). RS presents resistance to gut digestive enzymes, and is fermented by anaerobic intestinal microbiota in the colon, producing short-chain fatty acids, which offer beneficial effects on type 2 diabetes (<xref ref-type="bibr" rid="B8">8</xref>). In addition, adzuki beans are an abundant source of phenolics, and gallic acid, <italic>p</italic>-hydroxybenzoic acid, ferulic acid, and catechin have been identified in beans (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). These may inhibit the activities of &#x03B1;-amylase and &#x03B1;-glucosidase, frustrating the degradation of polysaccharides into oligosaccharides and monosaccharides (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). The &#x03B1;-AI is another dominant component which also inhibits the activities of alpha-amylase (<xref ref-type="bibr" rid="B14">14</xref>). Previous studies showed that beans containing functional components presented a lower glycemic index (GI), of which the bean containing total phenolics (61.50 &#x00B1; 2.12 g/100 g) presented a GI of 55.23 (<xref ref-type="bibr" rid="B15">15</xref>), and the bean with RS proportion at 55.60% presented the GI at 60.0 (<xref ref-type="bibr" rid="B16">16</xref>), another study indicated that kidney beans classifying in low GI item contained abundant phenolics and RS, which also presented inhibitory activities to alpha-amylase with the specific activity range at 1.65 &#x00B1; 0.05&#x2013;4.16 &#x00B1; 0.04 U/g (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Type 2 diabetes is one of the common chronic diseases, which is caused by a disorder of the human pancreas (&#x03B2;-cells). In normal human pancreatic &#x03B2;-cells, pancreatic insulin is stimulated by incretins, such as glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic peptide (GIP), which are responsible for glucose homeostasis (<xref ref-type="bibr" rid="B18">18</xref>). Previous studies have shown that adzuki beans are low-GI foods, which positively affects insulin sensitivity and resistance (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). In addition, an epidemiological study revealed that regular consumption of common beans can reduce the risk of type 2 diabetes (<xref ref-type="bibr" rid="B22">22</xref>). GI is defined as the response of blood sugar after consumption of foods that contain a definite quantity of carbohydrates compared with a reference food (white bread or glucose) (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Diets with elevated GIs are associated with a high risk of cancer (<xref ref-type="bibr" rid="B25">25</xref>), type 2 diabetes (<xref ref-type="bibr" rid="B26">26</xref>), and heart disease (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Adzuki bean is a staple crop in Bijie city of Guizhou province, where the typical geography conditions are hilly topographic and changeable climate which induce the production of endogenous phytochemicals (<xref ref-type="bibr" rid="B29">29</xref>), and the adzuki beans were adopted as food supplements for hyperglycemic patients in the local area, the excellent varieties with a higher yield were selected for the functional evaluation, in which the phenolic profiles were determined using high-performance liquid chromatography (HPLC), the starch digestibility and inhibitory activities to the &#x03B1;-amylase were also determined, the potential GI was evaluated using <italic>in vitro</italic> digestion model, and the contribution of endogenous components to low-GI was also discussed. All of these results provide the fundamentals for the mechanism revealing that adzuki beans regulate the blood glucose content.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>2 Materials and methods</title>
<sec id="S2.SS1">
<title>2.1 Sample preparation</title>
<p>The four varieties of adzuki beans, namely G24, Te Xiao Li No. 1, Gui Nong No. 1, and Qian Xiao Hei (<xref ref-type="fig" rid="F1">Figure 1</xref>), planted at the breeding base (27.32&#x00B0;N, 105.29&#x00B0;E, 1,640 m altitude), were supplied by He You Xun, Bijie Institute of Agricultural Science, Guizhou Province, China. In the growth cycle, the average temperature was 19<sup>&#x00B0;</sup>C, the precipitation was approximately 780.6 mm, and the sunshine duration was 667 h. The adzuki beans were ground into flour using a universal high-speed smashing machine (Dongguan Xinmeihua Electromechanical Equipment Co., Ltd., Dongguan City, P. R. China), and then screened using a 40-mesh sieve; the flours were stored at &#x2013;20&#x00B0;C for further analysis.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Four varieties of adzuki beans (G24, Te Xiao Li No. 1, Gui Nong No. 1 and Qian Xiao Hei).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-1063602-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>2.2 Chemicals</title>
<p>Folin-Ciocalteu&#x2019;s phenol reagent, pepsin (source: gastric mucosa of a pig), and gallic acid were purchased from Sigma-Aldrich Ltd. (St. Louis, MO, USA). 3, 5-Dinitrosalicylic acid (DNS) was purchased from Sinopharm Chemical Reagent Co., Ltd. Acetone and hydrochloric acid (36&#x2013;38%) were purchased from Chongqing Chuandong Chemical Group Co., Ltd. (Chongqing, P. R. China). Sodium hydroxide was purchased from Chengdu Jinshan Chemical Reagent Co., Ltd. (Chengdu, P. R. China). Deionized water was purchased from Watsons Water Co., Ltd. (Guangzhou, P. R. China). HPLC grade acetonitrile and acetate were purchased from Aladdin company (Shanghai, P. R. China). Sodium carbonate was purchased from Yongda Chemical Reagent Co., Ltd. (Tianjin, P. R. China). Aluminum chloride hexahydrate was purchased from Kemio Chemical Co., Ltd. (Tianjin, P. R. China). Rutin, 2, 3, 4-trihydroxybenzoic acid, catechin, chlorogenic acid, <italic>p</italic>-hydroxybenzoic acid, and ferulic acid were purchased from Macklin Bioch. Co., Ltd (Shanghai, P. R. China). Alpha-amylase enzyme (type: pancreatic, source: <italic>Bacillus</italic>) was purchased from Solarbio Science &#x0026; Tech. Co., Ltd. (Beijing, P. R. China). Hexane, ethyl acetate, acetic acid, petroleum ether, and methanol were purchased from Tianjin Fuyu Fine Chemical Co., Ltd. (Tianjin, P. R. China).</p>
</sec>
<sec id="S2.SS3">
<title>2.3 Extraction of phenolics</title>
<p>Phenolic extracts were obtained using the method described by Adom and Liu (<xref ref-type="bibr" rid="B30">30</xref>) and De La Parra et al. (<xref ref-type="bibr" rid="B31">31</xref>). In brief, 4 g of whole adzuki beans powder was homogenized in 15 ml of chilled acetone (80%, v/v) for 15 min. These mixtures were centrifuged (CenLee16R, Hunan Cenlee Scientific Instrument Co., Ltd., Hunan, China) at 8,000 &#x00D7; <italic>g</italic> for 5 min to collect the supernatants. The residues were again subjected to phenolic extraction twice following the procedures mentioned above, and the collected supernatants were evaporated at 45&#x00B0;C using a rotary evaporator (Shanghai Yarong Biochemical Instrument Factory) and eventually reconstituted to 10 ml with deionized water. The phenolic extracts were stored at &#x2013;20<sup>&#x00B0;</sup>C for further analysis, and the phenolic extraction was performed in triplicate.</p>
</sec>
<sec id="S2.SS4">
<title>2.4 Determination of total phenolics</title>
<p>Total phenolics (TP) were determined using the method described by De La Parra et al. (<xref ref-type="bibr" rid="B31">31</xref>). A volume of 100 &#x03BC;l of gallic acid standard and adzuki bean extracts were mixed with 400 &#x03BC;l deionized water and 100 &#x03BC;l of Folin-Ciocalteu phenol reagent. The mixtures were kept at room temperature for 6 min, and subsequently mixed with 1 ml of 7% Na<sub>2</sub>CO<sub>3</sub> solution and 0.8 ml of deionized water. After 90 min of reaction in the dark, 200 &#x03BC;l of the reaction mixtures were pipetted into a 96-well microplate reader (SPECTRAMAX 190, Molecular Devices, Silicon Valley, USA) and determined at 760 nm, and the standard curves were plotted from the absorbances and concentrations of the gallic acid standards. The TP was calculated from the standard curve and expressed as mg gallic acid equivalents (GAE)/100 g DW.</p>
</sec>
<sec id="S2.SS5">
<title>2.5 Determination of total flavonoids</title>
<p>The total flavonoids (TF) were estimated using the methods described by Zhishen et al. (<xref ref-type="bibr" rid="B32">32</xref>) and Bakar et al. (<xref ref-type="bibr" rid="B33">33</xref>). Five hundred microliters of adzuki bean extracts or rutin standard was allowed to react with 2.25 ml of deionized water and 0.15 ml of 5% NaNO<sub>2</sub> for 6 min; the mixtures were continuously reacted with 0.3 ml of 10% AlCl<sub>3</sub>.6H<sub>2</sub>O for 5 min. Afterward, 1 ml of 1 mol/L NaOH was vigorously mixed with the mixtures to terminate the reactions. After 15 min of reaction, 200 &#x03BC;l of the mixtures was pipetted into a 96-well microplate reader and determined at 510 nm. The standard curve was plotted from the absorbance and concentration of the rutin standards, and the TF was calculated from the standard curve and expressed as mg rutin equivalents (RE)/100 g DW.</p>
</sec>
<sec id="S2.SS6">
<title>2.6 Profile of phenolic compounds</title>
<p>The profile of the phenolic compounds of the adzuki beans was determined using HPLC (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). The adzuki bean extracts were directly passed through a 0.45-&#x03BC;m filter film, and then the filtered extracts (20 &#x03BC;l) were injected into a 1260 HPLC device (1260 Infinity, Agilent Technologies, Santa Clara, CA, USA) equipped with a C-18 chromatography column (30&#x00B0;C) (Agilent ZORBBAX 250 mm &#x00D7; 4.6 mm, 5 &#x03BC;m). Acetonitrile (A) and 1% acetic acid (B) solutions were obtained using the gradient elution program: 0&#x2013;5 min, 5&#x2013;15% A; 5&#x2013;35 min, 15&#x2013;35% A; 35&#x2013;40 min, 35&#x2013;45% A; 40&#x2013;50 min, 45&#x2013;5% A, with a flow rate of 1 ml/min. These individual phenolic compounds were detected using an ultraviolet absorption detector at 280 nm. The individual phenolic compounds were identified and quantified according to the retention time and calibration curve of the corresponding standards. The individual phenolic compound contents were expressed as mg phenolics/100 g DW.</p>
</sec>
<sec id="S2.SS7">
<title>2.7 Determination of &#x03B1;-AI activity</title>
<p>Four grams of adzuki beans powder was adequately mixed with 20 ml of deionized water at 25&#x00B0;C for 1 h. Next, the mixtures were centrifuged (8,000 &#x00D7; <italic>g</italic>, 4&#x00B0;C) for 30 min to collect the water extracts, and then the volume was recomposed to 20 ml. The above process was performed in triplicate (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>The &#x03B1;-AI specific activity was determined using the method described by Yang et al. (<xref ref-type="bibr" rid="B14">14</xref>), with minor modifications. First, the water extracts were appropriately diluted to keep the &#x03B1;-amylase inhibition rate (IR) under 50%. Second, 0.25 ml of diluted water extracts were adequately mixed with 0.25 ml of &#x03B1;-amylase solution (1 U/ml) and 0.5 ml of PBS (pH 6.9) in a water bath (37<sup>&#x00B0;</sup>C) for 10 min, and then a 5-min reaction was allowed after the addition of 0.5 ml of 1% (w/v) aqueous starch solution to the mixtures. Eventually, the mixtures were mixed with 1 ml DNS solution and subsequently heated in a boiling water bath for 10 min. After cooling to room temperature, the volume of the mixtures was reconstituted to 20 ml with deionized water and measured at 540 nm using a spectrophotometer instrument (L5S, Shanghai Yidian Analytical Instrument Co. Ltd., Shanghai, China).</p>
<p>The trial groups were estimated as (1) blank tube (no addition of water extracts), (2) blank control tube (addition of neither &#x03B1;-amylase solution nor water extracts), and (3) inhibition control tube (no addition of &#x03B1;-amylase solution). PBS was used to make up for the deficiency.</p>
<p>The inhibition rate of the &#x03B1;-AI in adzuki beans to &#x03B1;-amylase was calculated using formula (1):</p>
<disp-formula id="S2.E1">
<label>(1)</label>
<mml:math id="M1">
<mml:mrow>
<mml:mi>IR</mml:mi>
<mml:mo rspace="5.8pt">%</mml:mo>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mprescripts/>
<mml:mn>3</mml:mn>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mmultiscripts>
<mml:mo stretchy="false">)</mml:mo>
<mml:mprescripts/>
<mml:mn>4</mml:mn>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mprescripts/>
<mml:mn>1</mml:mn>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mmultiscripts>
<mml:mo stretchy="false">)</mml:mo>
<mml:mprescripts/>
<mml:mn>2</mml:mn>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
<mml:mo rspace="5.8pt" stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where <italic>A<sub>1</sub>, A<sub>2</sub>, A<sub>3</sub></italic>, and <italic>A</italic><sub>4</sub> are the absorbances of the blank tube, blank control tube, inhibition tube, and inhibitory control tube at 540 nm wavelength, respectively. The amount of &#x03B1;-amylase that catalyzes the formation of 1 mol glucose/min at 37&#x00B0;C and pH 6.9 was defined as an activity unit (U). The amount of &#x03B1;-AI that catalyzes the inhibition of 1 mol glucose formation per min in an &#x03B1;-amylase catalytic starch hydrolysis reaction at 37&#x00B0;C and pH 6.9 was defined as an activity unit (U), while the &#x03B1;-AI specific activity (U/g) is defined as the &#x03B1;-AI activity unit in 1 g of adzuki bean, and was calculated using formula (2):</p>
<disp-formula id="S2.E2">
<label>(2)</label>
<mml:math id="M2">
<mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">&#x03B1;</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mtext>-</mml:mtext>
<mml:mo>&#x2062;</mml:mo>
<mml:mi mathvariant="normal">A</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi mathvariant="normal">I</mml:mi>
</mml:mpadded>
<mml:mo>&#x2062;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mi mathvariant="normal">U</mml:mi>
<mml:mo>/</mml:mo>
<mml:mi mathvariant="normal">g</mml:mi>
</mml:mrow>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mi mathvariant="normal">I</mml:mi>
<mml:mo>&#x2062;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi mathvariant="normal">R</mml:mi>
</mml:mpadded>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mn>1</mml:mn>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi mathvariant="normal">n</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">V</mml:mi>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mi mathvariant="normal">m</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where &#x201C;<italic>1</italic>&#x201D; represents the activity of &#x03B1;-amylase solution (U/ml), &#x201C;<italic>n</italic>&#x201D; is the water extract dilution times, &#x201C;<italic>V</italic>&#x201D; is the total volume of water extract (ml), and &#x201C;<italic>m</italic>&#x201D; is the mass of the adzuki beans powder (g).</p>
</sec>
<sec id="S2.SS8">
<title>2.8 Determination of total starch</title>
<p>The TS of adzuki beans was estimated by referring to the National Food Safety Standards of China GB 5009.9 (<xref ref-type="bibr" rid="B36">36</xref>). Adzuki bean powder was first processed in fat to remove sugar, and then it underwent continuous processes, such as gelatinization, saccharification, acid hydrolysis, and neutralization, to obtain the mixtures adopted for TS determination using the alkaline copper tartrate solution titration method.</p>
</sec>
<sec id="S2.SS9">
<title>2.9 <italic>In vitro</italic> digestion and glucose content determination</title>
<p>In brief, an aliquot of bean powder comprising 50 mg of starch was mixed with 2 ml of deionized water, and then the mixture was heated for 10 min in a boiling water bath. In addition, 10 ml of HCl-KCl buffer (0.1 mol/L, pH 1.5) and 0.2 ml pepsin solution (1 mg/ml, dissolved in 0.1 mol/L of HCl-KCl buffer) were sequentially added to the gelatinized mixture, which was then agitated for 60 min in a water bath at 40&#x00B0;C. Furthermore, 15 ml of PBS (pH 6.9) and 5 ml of &#x03B1;-amylase solution (2.6 U/ml) (pH 6.9) were sequentially added to the mixture, which was then agitated for 180 min in a water bath at 37&#x00B0;C, and aliquots of the digested mixture (1 ml) were collected at intervals of 30 min (0, 30, 60, 90, 120, 150, and 180 min) for GI determination. The white bread was subjected to the above processes except for the gelatinization process (<xref ref-type="bibr" rid="B37">37</xref>). The other aliquots of the digested mixture (1 ml) were collected for 0, 20, and 120 min to determine the digestive properties of the starch (<xref ref-type="bibr" rid="B38">38</xref>). The adzuki beans were processed in triplicate. These mixtures were instantly heated to denature the &#x03B1;-amylase activity; eventually, the collected digestion mixtures were sequentially cooled and centrifuged (4&#x00B0;C, 8,000 &#x00D7; <italic>g</italic>, 10 min) before glucose content determination. The DNS colorimetry method was adopted to determine glucose content. The aliquots of the digestion mixture were equivalently mixed with DNS (200 &#x03BC;l). In addition, the mixtures were sequentially processed by heating in boiled water for 6 min and cooling in running water to room temperature before recomposing the volume to 2 ml using deionized water. The absorbances of the reacted mixtures were measured using a spectrophotometer at 540 nm.</p>
</sec>
<sec id="S2.SS10">
<title>2.10 Calculation of starch digestibility properties</title>
<p>The slowly digestible starch (SDS), rapidly digestible starch (RDS), and RS contents were calculated using formula (3), formula (4), and formula (5) (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>).</p>
<disp-formula id="S2.E3">
<label>(3)</label>
<mml:math id="M3">
<mml:mrow>
<mml:mpadded width="+5pt">
<mml:mi>RDS</mml:mi>
</mml:mpadded>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mprescripts/>
<mml:mn>20</mml:mn>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
<mml:mprescripts/>
<mml:mn>0</mml:mn>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi mathvariant="normal">V</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>0.9</mml:mn>
<mml:mo>/</mml:mo>
<mml:mn>50</mml:mn>
<mml:mo rspace="5.8pt" stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula id="S2.E4">
<label>(4)</label>
<mml:math id="M4">
<mml:mrow>
<mml:mpadded width="+5pt">
<mml:mi>SDS</mml:mi>
</mml:mpadded>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mprescripts/>
<mml:mn>120</mml:mn>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
<mml:mprescripts/>
<mml:mn>20</mml:mn>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi mathvariant="normal">V</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>0.9</mml:mn>
<mml:mo>/</mml:mo>
<mml:mn>50</mml:mn>
<mml:mo rspace="5.8pt" stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula id="S2.E5">
<label>(5)</label>
<mml:math id="M5">
<mml:mrow>
<mml:mpadded width="+5pt">
<mml:mi>RS</mml:mi>
</mml:mpadded>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi>RDS</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">+</mml:mo>
<mml:mi>SDS</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mn>50</mml:mn>
<mml:mo rspace="5.8pt" stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where <italic>C</italic><sub>0</sub> represents the initial glucose concentration (mg/ml) before the enzymatic hydrolysis reaction, &#x201C;<italic>C</italic><sub>20</sub>&#x201D; and &#x201C;<italic>C</italic><sub>120</sub>&#x201D; represent the glucose concentration (mg/ml) released within 20 and 120 min, respectively, &#x201C;<italic>V</italic>&#x201D; refers to the initial volume of the enzymatic hydrolysis, &#x201C;<italic>0.9</italic>&#x201D; is the conversion factor of glucose to starch, and &#x201C;<italic>50</italic>&#x201D; represents the starch content (mg) in the measured sample.</p>
</sec>
<sec id="S2.SS11">
<title>2.11 Calculation of the <italic>in vitro</italic> glycemic index</title>
<p>The IVGI of adzuki beans was computed as described in previous studies (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B37">37</xref>). The starch hydrolysis curves were plotted, and the enzymatic hydrolysis time and starch hydrolysis rate were designated as the abscissa and ordinate, respectively.</p>
<p>The starch hydrolysis rate (SR%) was calculated using formula (6):</p>
<disp-formula id="S2.E6">
<label>(6)</label>
<mml:math id="M6">
<mml:mrow>
<mml:mpadded width="+3.3pt">
<mml:mi>SR</mml:mi>
</mml:mpadded>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo>-</mml:mo>
<mml:mprescripts/>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
<mml:mprescripts/>
<mml:mn>0</mml:mn>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi mathvariant="normal">V</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>0.9</mml:mn>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo>/</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mn>50</mml:mn>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<p>&#x201C;<italic>C</italic><sub><italic>t</italic></sub>&#x201D; represents the glucose concentration at a time &#x201C;<italic>t</italic>&#x201D; (mg/ml), &#x201C;<italic>C</italic><sub>0</sub>&#x201D; represents the glucose concentration at a time &#x201C;<italic>0</italic>&#x201D; (mg/ml), &#x201C;<italic>32.2</italic>&#x201D; represents the initial volume of the enzymatic hydrolysis reaction system (ml), &#x201C;<italic>0.</italic>9&#x201D; is the conversion factor of glucose to starch, and &#x201C;<italic>50</italic>&#x201D; represents the amount of starch in adzuki bean powder.</p>
<p>Formula (7) was used to calculate the enzymatic hydrolysis kinetic constant (k) and the infinite glucose content (C<sub>&#x221E;</sub>) (mg/ml).</p>
<disp-formula id="S2.E7">
<label>(7)</label>
<mml:math id="M7">
<mml:mrow>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo>-</mml:mo>
<mml:mprescripts/>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mprescripts/>
<mml:mn>0</mml:mn>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mi>exp</mml:mi>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>-</mml:mo>
<mml:mi>kt</mml:mi>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mprescripts/>
<mml:mi mathvariant="normal">&#x221E;</mml:mi>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The area under the hydrolysis curve (AUC) was delineated using formula (8).</p>
<disp-formula id="S2.Ex1">
<mml:math id="M8">
<mml:mrow>
<mml:mpadded width="+3.3pt">
<mml:mi>AUC</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mprescripts/>
<mml:mi mathvariant="normal">f</mml:mi>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mmultiscripts>
<mml:mo stretchy="false">)</mml:mo>
<mml:mprescripts/>
<mml:mn>0</mml:mn>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
<mml:mprescripts/>
<mml:mi mathvariant="normal">&#x221E;</mml:mi>
<mml:none/>
</mml:mmultiscripts>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">C</mml:mi>
<mml:mmultiscripts>
<mml:mi mathvariant="normal">K</mml:mi>
<mml:mprescripts/>
<mml:mi mathvariant="normal">&#x221E;</mml:mi>
<mml:none/>
<mml:mo>/</mml:mo>
<mml:none/>
</mml:mmultiscripts>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">[</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mi>exp</mml:mi>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>-</mml:mo>
<mml:mi mathvariant="normal">k</mml:mi>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mmultiscripts>
<mml:mo rspace="5.8pt">-</mml:mo>
<mml:mprescripts/>
<mml:mi mathvariant="normal">f</mml:mi>
<mml:none/>
</mml:mmultiscripts>
<mml:mi mathvariant="normal">t</mml:mi>
<mml:mmultiscripts>
<mml:mo stretchy="false">)</mml:mo>
<mml:mprescripts/>
<mml:mn>0</mml:mn>
<mml:none/>
</mml:mmultiscripts>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Where &#x201C;<italic>t</italic><sub><italic>f</italic></sub>&#x201D; and &#x201C;<italic>t</italic><sub>0</sub>&#x201D; represent the last time point (180 min) and the initial time point (0 min) of the enzymatic hydrolysis reaction, respectively.</p>
<p>The IVGI was computed using formula (9).</p>
<disp-formula id="S2.E9">
<label>(9)</label>
<mml:math id="M9">
<mml:mrow>
<mml:mpadded width="+3.3pt">
<mml:mi>GI</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">=</mml:mo>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mpadded width="+3.3pt">
<mml:mn>0.862</mml:mn>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mpadded width="+3.3pt">
<mml:mi>calcHI</mml:mi>
</mml:mpadded>
<mml:mo rspace="5.8pt">&#x00D7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mrow>
<mml:mo rspace="5.8pt" stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo rspace="5.8pt">+</mml:mo>
<mml:mn>8.198</mml:mn>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>The calcHI-starch hydrolysis index indicates the AUC sample/AUC white bread standard.</p>
</sec>
<sec id="S2.SS12">
<title>2.12 Statistical analysis</title>
<p>The values were expressed as means &#x00B1; standard deviation (<italic>n</italic> = 3) and tested using the IBM SPSS (one-way ANOVA plus <italic>post-hoc</italic> Tukey&#x2019;s b test) software (IBM, NY, USA). <italic>P</italic>-values less than 0.05 indicated a significant difference.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3 Results</title>
<sec id="S3.SS1">
<title>3.1 Total phenolics, total flavonoids, and phenolic profile</title>
<p>The TP and TF of adzuki beans are shown in <xref ref-type="table" rid="T1">Table 1</xref>. The TP ranges from (137.11 &#x00B1; 4.81) to (154.90 &#x00B1; 4.45) mg GAE/100 g DW; Te Xiao Li No. 1 has the highest TP content, followed by Qian Xiao Hei, G24, and Gui Nong No. 1. The TF ranges from (279.78 &#x00B1; 2.54) to (602.00 &#x00B1; 10.23) mg RE/100 g DW; G24 has the highest TF content. In addition, gallic acid, 2, 3, 4-trihydroxybenzoic acid, chlorogenic acid, catechin, rutin, and <italic>p</italic>-hydroxybenzoic acid were identified in adzuki beans, as shown in <xref ref-type="table" rid="T2">Table 2</xref> and <xref ref-type="fig" rid="F2">Figure 2</xref>. The 2, 3, 4-trihydroxybenzoic acid, chlorogenic acid, and <italic>p</italic>-hydroxybenzoic acid contents range from (1.19 &#x00B1; 0.13) to (7.46 &#x00B1; 0.75) mg/100 g DW, (3.94 &#x00B1; 0.27) to (7.15 &#x00B1; 1.08) mg/100 g DW, and (5.96 &#x00B1; 0.59) to (7.54 &#x00B1; 0.16) mg/100 g DW, respectively. The catechin and rutin contents range from (12.63 &#x00B1; 1.38) to (23.05 &#x00B1; 1.60) mg/100 g DW and (2.41 &#x00B1; 0.19) to (16.31 &#x00B1; 2.09) mg/100 g DW, respectively. In Te Xiao Li No. 1, the rutin and catechin contents are dominant with 16.31 &#x00B1; 2.09 and 23.05 &#x00B1; 1.60 mg/100 g DW, respectively.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Total phenolics (mg GAE/100 g DW), total flavonoids (mg RE/100 g DW), and moisture contents (%) of adzuki beans.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Sample</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">MC</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">TP</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">TF</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">&#x003C; /<italic>ltx</italic>:<italic>thead</italic> &#x003E; <italic>G</italic>24</td>
<td valign="top" align="center">13.55 &#x00B1; 0.07<sup>a</sup></td>
<td valign="top" align="center">144.79 &#x00B1; 5.07<sup>ab</sup></td>
<td valign="top" align="center">602.00 &#x00B1; 10.23<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left"><italic>TeXiaoLiNo</italic>.1</td>
<td valign="top" align="center">13.87 &#x00B1; 0.12<sup>a</sup></td>
<td valign="top" align="center">154.90 &#x00B1; 4.45<sup>a</sup></td>
<td valign="top" align="center">549.93 &#x00B1; 14.00<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left"><italic>GuiNongNo</italic>.1</td>
<td valign="top" align="center">13.94 &#x00B1; 0.18<sup>a</sup></td>
<td valign="top" align="center">137.11 &#x00B1; 4.81<sup>b</sup></td>
<td valign="top" align="center">279.78 &#x00B1; 2.54<sup>d</sup></td>
</tr>
<tr>
<td valign="top" align="left"><italic>QianXiaoHei</italic></td>
<td valign="top" align="center">14.12 &#x00B1; 0.72<sup>a</sup></td>
<td valign="top" align="center">145.53 &#x00B1; 3.77<sup>ab</sup></td>
<td valign="top" align="center">353.51 &#x00B1; 8.95<sup>c</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>MC, moisture content; TP, total phenolics; TF, total flavonoids. The values were expressed as means &#x00B1; SD, <italic>n</italic> = 3, some of which in the same column with no same letters indicate significant differences at the level of <italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Phenolic compound profiles (mg/100 g DW) of adzuki beans.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Sample</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">GA</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">2,3,4-THBA</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">CA</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">R</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><italic>p</italic>-HBA</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">C</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">G24</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">1.19 &#x00B1; 0.13<sup>b</sup></td>
<td valign="top" align="center">3.94 &#x00B1; 0.27<sup>b</sup></td>
<td valign="top" align="center">5.74 &#x00B1; 0.30<sup>b</sup></td>
<td valign="top" align="center">5.96 &#x00B1; 0.59<sup>b</sup></td>
<td valign="top" align="center">12.63 &#x00B1; 1.38<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">Te Xiao Li No. 1</td>
<td valign="top" align="center">0.71 &#x00B1; 0.03<sup>a</sup></td>
<td valign="top" align="center">7.46 &#x00B1; 0.75<sup>a</sup></td>
<td valign="top" align="center">7.15 &#x00B1; 1.08<sup>a</sup></td>
<td valign="top" align="center">16.31 &#x00B1; 2.09<sup>a</sup></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">23.05 &#x00B1; 1.60<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Gui Nong No. 1</td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">4.46 &#x00B1; 0.24<sup>b</sup></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">2.41 &#x00B1; 0.19<sup>c</sup></td>
<td valign="top" align="center">7.54 &#x00B1; 0.16<sup>a</sup></td>
<td valign="top" align="center">ND</td>
</tr>
<tr>
<td valign="top" align="left">Qian Xiao Hei</td>
<td valign="top" align="center">0.73 &#x00B1; 0.04<sup>a</sup></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">6.72 &#x00B1; 0.81<sup>a</sup></td>
<td valign="top" align="center">ND</td>
<td valign="top" align="center">6.14 &#x00B1; 0.15<sup>b</sup></td>
<td valign="top" align="center">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>GA, gallic acid; 2,3,4-THBA, 2, 3, 4-trihydroxybenzoic acid; CA, chlorogenic acid; R, rutin; <italic>p</italic>-HBA, <italic>p</italic>-hydroxybenzoic acid; C, catechin; ND, not detected. The values were expressed as means &#x00B1; SD, <italic>n</italic> = 3, some of which in the same column with no same letters indicate significant differences at the level of <italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>High-performance liquid chromatography (HPLC) chromatogram of individual phenolic compounds in adzuki beans. 1, gallic acid; 2, 2, 3, 4-trihydroxybenzoic acid; 3, chlorogenic acid; 4, catechin; 5, rutin and 6, <italic>p</italic>-hydroxybenzoic acid.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-1063602-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>3.2 &#x03B1;-AI specific activity</title>
<p>The &#x03B1;-AI specific activity indicates the inhibitory efficiency of &#x03B1;-AI to &#x03B1;-amylase in the starch hydrolysis reaction. The &#x03B1;-AI specific activities of adzuki beans range from (1.76 &#x00B1; 0.04) to (3.41 &#x00B1; 0.18) U/g. G24 shows the highest activity and Te Xiao Li No. 1 and Gui Nong No. 1 show minor fluctuations; both are ranked intermediate, while Qian Xiao Hei shows the lowest &#x03B1;-AI specific activity (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>The &#x03B1;-AI specific activities of adzuki beans. Bars with no same letters indicate significant differences at the level of <italic>p</italic> &#x003C; 0.05.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-1063602-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>3.3 Starch digestibility properties</title>
<p>The starch digestibility properties can be categorized using the digestive process in which the RDS can be digested in 0&#x2013;20 min, the SDS can be digested in 20&#x2013;120 min, and the RS cannot be digested after 120 min (<xref ref-type="bibr" rid="B39">39</xref>). In adzuki beans, the proportions of RS to TS range from (69.78 &#x00B1; 2.45%) to (81.03 &#x00B1; 0.06%); Te Xiao Li No. 1 has the highest proportion of RS to TS, followed by Gui Nong No. 1, Qian Xiao Hei, and G24. The proportions of SDS to TS are between (11.02 &#x00B1; 1.58%) and (15.57 &#x00B1; 0.17%), and the proportions of RDS to TS are between (3.38 &#x00B1; 0.12%) and (18.62 &#x00B1; 1.81%) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>The <italic>in vitro</italic> starch digestibility of adzuki beans.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Sample</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">RDS (%)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">SDS (%)</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">RS (%)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">G24</td>
<td valign="top" align="center">18.62 &#x00B1; 1.81<sup>a</sup></td>
<td valign="top" align="center">15.34 &#x00B1; 0.71<sup>a</sup></td>
<td valign="top" align="center">69.78 &#x00B1; 2.45<sup>d</sup></td>
</tr>
<tr>
<td valign="top" align="left">Te Xiao Li No. 1</td>
<td valign="top" align="center">3.38 &#x00B1; 0.12<sup>b</sup></td>
<td valign="top" align="center">15.57 &#x00B1; 0.17<sup>a</sup></td>
<td valign="top" align="center">81.03 &#x00B1; 0.06<sup>a</sup></td>
</tr>
<tr>
<td valign="top" align="left">Gui Nong No. 1</td>
<td valign="top" align="center">10.95 &#x00B1; 1.82<sup>a</sup></td>
<td valign="top" align="center">11.02 &#x00B1; 1.58<sup>b</sup></td>
<td valign="top" align="center">78.02 &#x00B1; 0.52<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">Qian Xiao Hei</td>
<td valign="top" align="center">9.46 &#x00B1; 1.14<sup>a</sup></td>
<td valign="top" align="center">15.34 &#x00B1; 0.25<sup>a</sup></td>
<td valign="top" align="center">75.19 &#x00B1; 1.25<sup>c</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>RDS, rapidly digestible starch; SDS, slowly digestible starch; RS, resistant starch. The values were expressed as means &#x00B1; SD, <italic>n</italic> = 3, some of which in the same column with no same letters indicate significant differences at the level of <italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>3.4 <italic>In vitro</italic> glycemic index</title>
<p>The SR was determined using the <italic>in vitro</italic> digestion model coupled with DNS colorimetry, which was used to plot the starch hydrolysis curves (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;D</xref>). Using the curves, the enzymatic hydrolysis kinetic constant (k) and the infinite glucose content (C<sub>&#x221E;</sub>) were obtained, and both were eventually used to calculate the GI; the parameters and IVGI are presented in <xref ref-type="table" rid="T4">Table 4</xref>. The SR of adzuki beans at 180 min ranges from (17.02 &#x00B1; 0.33%) to (26.60 &#x00B1; 1.81%). Qian Xiao Hei, Gui Nong No. 1, and Te Xiao Li No. 1 present a low SR in the whole hydrolysis period. The IVGI of adzuki beans ranges from (39.00 &#x00B1; 0.36) to (56.76 &#x00B1; 4.21), and Te Xiao Li No. 1 presents the lowest IVGI.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Dynamic changes of starch hydrolysis rate of adzuki beans. Panel <bold>(A)</bold> exhibits the starch hydrolysis curves of G24 and white bread, panel <bold>(B)</bold> exhibits the starch hydrolysis curves of Te Xiao Li No. 1 and white bread, panel <bold>(C)</bold> exhibits the starch hydrolysis curves of Gui Nong No. 1 and white bread, and panel <bold>(D)</bold> exhibits the starch hydrolysis curves of Qian Xiao Hei and white bread. Bars in the same curves with no same letters indicate significant differences at the level of <italic>p</italic> &#x003C; 0.05.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-09-1063602-g004.tif"/>
</fig>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p><italic>In vitro</italic> glycemic index and involved parameters of adzuki beans.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;">Sample</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">TS (g/100 g) DW</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">C<sub>&#x221E;</sub></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">K</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">AUC</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">HI</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">IVGI</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">G24</td>
<td valign="top" align="center">30.12 &#x00B1; 1.18<sup>b</sup></td>
<td valign="top" align="center">0.44 &#x00B1; 0.02<sup>b</sup></td>
<td valign="top" align="center">0.04 &#x00B1; 0.01<sup>a</sup></td>
<td valign="top" align="center">69.58 &#x00B1; 6.03<sup>b</sup></td>
<td valign="top" align="center">56.34 &#x00B1; 4.89<sup>b</sup></td>
<td valign="top" align="center">56.76 &#x00B1; 4.21<sup>b</sup></td>
</tr>
<tr>
<td valign="top" align="left">Te Xiao Li No. 1</td>
<td valign="top" align="center">29.17 &#x00B1; 0.52<sup>b</sup></td>
<td valign="top" align="center">0.33 &#x00B1; 0.01<sup>c</sup></td>
<td valign="top" align="center">0.01 &#x00B1; 0.00<sup>c</sup></td>
<td valign="top" align="center">39.87 &#x00B1; 0.46<sup>b</sup></td>
<td valign="top" align="center">35.73 &#x00B1; 0.42<sup>c</sup></td>
<td valign="top" align="center">39.00 &#x00B1; 0.36<sup>c</sup></td>
</tr>
<tr>
<td valign="top" align="left">Gui Nong No. 1</td>
<td valign="top" align="center">32.93 &#x00B1; 2.15<sup>a</sup></td>
<td valign="top" align="center">0.34 &#x00B1; 0.00<sup>c</sup></td>
<td valign="top" align="center">0.01 &#x00B1; 0.00<sup>cd</sup></td>
<td valign="top" align="center">44.60 &#x00B1; 0.93<sup>b</sup></td>
<td valign="top" align="center">40.02 &#x00B1; 0.83<sup>c</sup></td>
<td valign="top" align="center">42.70 &#x00B1; 0.72<sup>c</sup></td>
</tr>
<tr>
<td valign="top" align="left">Qian Xiao Hei</td>
<td valign="top" align="center">34.01 &#x00B1; 0.39<sup>a</sup></td>
<td valign="top" align="center">0.27 &#x00B1; 0.00<sup>d</sup></td>
<td valign="top" align="center">0.02 &#x00B1; 0.00<sup>b</sup></td>
<td valign="top" align="center">38.30 &#x00B1; 0.38<sup>b</sup></td>
<td valign="top" align="center">37.07 &#x00B1; 0.37<sup>c</sup></td>
<td valign="top" align="center">40.15 &#x00B1; 0.32<sup>c</sup></td>
</tr>
<tr>
<td valign="top" align="left">White bread</td>
<td valign="top" align="center">6.80 &#x00B1; 0.26<sup>c</sup></td>
<td valign="top" align="center">0.77 &#x00B1; 0.00<sup>a</sup></td>
<td valign="top" align="center">0.02 &#x00B1; 0.00<sup>bc</sup></td>
<td valign="top" align="center">112.75 &#x00B1; 1.25<sup>a</sup></td>
<td valign="top" align="center">100.0 &#x00B1; 0.00<sup>a</sup></td>
<td valign="top" align="center">94.38 &#x00B1; 0.00<sup>a</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>TS, total starch; C<sub>&#x221E;</sub>, infinite glucose content; K, enzymatic hydrolysis kinetic constant; AUC, area under the hydrolysis curve; HI, starch hydrolysis index; IVGI, <italic>in vitro</italic> glycemic index. The values were expressed as means &#x00B1; SD, <italic>n</italic> = 3, some of which in the same column with no same letters indicate significant differences at the level of <italic>p</italic> &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>4 Discussion</title>
<p>Abundant phenolics were identified in the seed coats of beans, and intrinsic anthocyanins exist in colored beans (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Phenolic acids and flavonoids are the dominant subclasses of phenolic compounds; phenolic acids can be divided into two major categories, namely hydroxybenzoic acids and hydroxycinnamic acids (<xref ref-type="bibr" rid="B42">42</xref>). Flavonoids are polyphenolic-secondary metabolites containing a 15-carbon atom structure in which phenyl rings (A and B) are coupled with a heterocyclic ring (C) (<xref ref-type="bibr" rid="B43">43</xref>). Phenolic acids and flavonoids are the dominant phenolics in plant-based foods, and flavonoids existing in free and glycosidic forms are the most common type in plants (<xref ref-type="bibr" rid="B40">40</xref>). In the present study, the TP of adzuki beans was higher than that of red and black beans in a previous study (<xref ref-type="bibr" rid="B44">44</xref>). In the present study, the TP of adzuki beans was lower than their counterpart reported by previous studies (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>), while the TP of common beans (0.72&#x2013;1.04 mg GAE/g) reported by a previous study (<xref ref-type="bibr" rid="B47">47</xref>) was lower than that reported by the present study. The TP and TF of various adzuki beans ranged from (2.11 &#x00B1; 0.01) to (2.75 &#x00B1; 0.04) GAE/g of DW and (59.17 &#x00B1; 2.06) to (70.41 &#x00B1; 1.32) RE/g of DW, respectively (<xref ref-type="bibr" rid="B48">48</xref>), which were higher than those of the present study. In addition, the TF of G24 was higher than that of green beans (<xref ref-type="bibr" rid="B49">49</xref>). Previous studies have suggested that the consumption of beans can provide numerous health benefits to humans, such as lowering the risks of cardiovascular disease, obesity, type 2 diabetes, and different types of malignant growths (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Thus, beans also possesses inhibitory activities to &#x03B1;-amylase and &#x03B1;-glucosidase (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>), which are positively associated with type 2 diabetes.</p>
<p>The 2, 3, 4-trihydroxybenzoic acid and chlorogenic acid contents of Te Xiao Li No. 1 were higher than those of legumes as reported by a previous study, in which gallic acid was the dominant phenolic with the contents between (0.39 &#x00B1; 0.00) and (479.26 &#x00B1; 10.40) &#x03BC;g/g (<xref ref-type="bibr" rid="B45">45</xref>), whereas the gallic acid content of Te Xiao Li No. 1 and Qian Xiao Hei was 0.71 &#x00B1; 0.03 and 0.73 &#x00B1; 0.04 mg/100 g DW, respectively. Moreover, gallic acid was not detected in a previous study (<xref ref-type="bibr" rid="B46">46</xref>). The variations may be attributed to the differences in varieties, genomics, geographical, and environmental conditions (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>). Previous studies have suggested that gallic acid, chlorogenic acid, <italic>p</italic>-hydroxybenzoic acid, and caffeic acid in beans have positive influences on type 2 diabetes (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). In the present study, Te Xiao Li No. 1 presented the highest catechin and rutin contents; a previous study suggested that catechin in dietary beans presented an inhibitory response toward fungal amylase (<xref ref-type="bibr" rid="B58">58</xref>). Furthermore, catechin showed inhibitory activities to &#x03B1;-amylase, lipase, and &#x03B1;-glucosidase, which is directly linked with blood sugar content (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Alpha-amylase is the key enzyme that hydrolyzes carbohydrates to disaccharides and oligosaccharides in the gastrointestinal tract, both of which are further degraded into monosaccharides or simple sugars by &#x03B1;-glucosidase, resulting in an increased level of postprandial glucose (<xref ref-type="bibr" rid="B61">61</xref>). &#x03B1;-AI (&#x03B1;-AI-1, &#x03B1;-AI-2, &#x03B1;-AI-3, and &#x03B1;-AI-L) is a functional component of beans, which presents anti-hyperglycemic activities. The most common isoforms of &#x03B1;-AIs isolated from beans are &#x03B1;-AI-1, &#x03B1;-AI-2, and &#x03B1;-AI-L (<xref ref-type="bibr" rid="B62">62</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>). &#x03B1;-AI is a glycoprotein containing active inhibitory subunits, which are named &#x03B1;- and &#x03B2;-chains; the &#x03B1;-chain lacks tryptophan and the &#x03B2;-chain lacks methionine, while cysteine is absent in both of them (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>). Previous studies have suggested that phenolics also show inhibitory activity to &#x03B1;-amylase (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B69">69</xref>), which indicates that the &#x03B1;-AI specific activity of adzuki beans may be attributed to glycoprotein and phenolics. A previous study indicated that the water extract of adzuki beans presents an &#x03B1;-AI activity to &#x03B1;-amylases and &#x03B1;-glucosidases, providing health benefits to type 2 diabetes patients (<xref ref-type="bibr" rid="B70">70</xref>). Alpha-amylase contains an active site for digesting starch, which is completely blocked by &#x03B1;-AI (<xref ref-type="bibr" rid="B62">62</xref>); the quantity of the inhibitor that colonizes the active site should be defined. A certain amount of sample is required to maintain the inhibition rate of enzymes (<xref ref-type="bibr" rid="B71">71</xref>).</p>
<p>Alpha-D-glucopyranosyl linked with &#x03B1;-D- (1&#x2013;4) or &#x03B1;-D- (1&#x2013;6) linkages are the basic units of starches, which are composed of amylose and amylopectin (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Previous studies have shown that the abundant RS in legumes is associated with postprandial blood glucose content, contributing to a positive effect on type 2 diabetes (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B75">75</xref>). In the present study, the proportions of RS to TS in adzuki beans ranged from (69.78 &#x00B1; 2.45%) to (81.03 &#x00B1; 0.06%), which was higher than the results reported by previous studies (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B77">77</xref>). RS can hardly be digested in the stomach and small intestine (<xref ref-type="bibr" rid="B8">8</xref>), and it is eventually fermented by gut microbiota (<xref ref-type="bibr" rid="B78">78</xref>), producing short-chain fatty acids in the colon, which impose positive effects on type 2 diabetes (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B79">79</xref>).</p>
<p>GI indicates the sugar level in the blood after the consumption of certain foods, and can be classified into three categories, namely low GI (&#x003C;55), medium GI (56&#x2013;69), and high GI (70&#x2013;100) (<xref ref-type="bibr" rid="B80">80</xref>). In the present study, adzuki beans can be classified as low- or medium-GI foods and the IVGI ranges from (39.00 &#x00B1; 0.36) to (56.76 &#x00B1; 4.21); Te Xiao Li No. 1 presented the lowest IVGI, and the IVGI of adzuki beans in ascending order is Qian Xiao Hei &#x003C; Gui Nong No. 1 &#x003C; G24. The GIs of these adzuki beans were lower than those of whole beans (<xref ref-type="bibr" rid="B81">81</xref>), mung beans (<xref ref-type="bibr" rid="B82">82</xref>), and adzuki beans (<xref ref-type="bibr" rid="B83">83</xref>). Previous studies have suggested that phenolics impose positive effects on postprandial blood glucose levels in aspects of inhibiting amylase activities, decreasing glucose absorption, and stimulating insulin secretion. Furthermore, phenolics may also reduce the glucose content by suppressing glucose release in the liver, which is regulated by the intracellular signal pathway (<xref ref-type="bibr" rid="B84">84</xref>). The IVGIs of these adzuki beans may be due to the whole effects of endogenous functional components. Phenolics, &#x03B1;-amylase inhibitors, and RS are the dominant contributors to the delays in blood sugar responses after the consumption of adzuki beans. In addition, the IVGI of Qian Xiao Hei (black-colored) was comparable with Te Xiao Li No. 1 (red-colored); however, the phenolic profile, &#x03B1;-AI specific activity, and RS proportion of Qian Xiao Hei were not close to those of Te Xiao Li No. 1. This finding indicates that Qian Xiao Hei may contain some unidentified endogenous components, which may contribute to low GI.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>5 Conclusion</title>
<p>In the present study, adzuki beans contain numerous phenolics, including gallic acid, 2, 3, 4-trihydroxybenzoic acid, chlorogenic acid, catechin, rutin, and <italic>p</italic>-hydroxybenzoic acid; of which catechin is the dominant phenolic compound in Te Xiao Li No. 1 and G24 varieties. The TP of Te Xiao Li No. 1 is higher than that of the other varieties, and the TF of G24 is higher than that of the other varieties. In addition, &#x03B1;-amylase inhibitors and RS are also present in adzuki beans. These adzuki beans are classified as low- or medium-GI foods, which may be caused by the whole effects of endogenous functional components. Phenolics, &#x03B1;-amylase inhibitors, and RS are the dominant contributors to the delays in starch digestion. These results indicate that these adzuki beans can be used as components of low-GI foods.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in this study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MM: data curation, validation, writing&#x2014;original draft, software, formal analysis, and investigation. LQ: investigation, resources, methodology, supervision, conceptualization, project administration, and funding acquisition. YZ: resources, writing&#x2014;review and editing, and funding acquisition. AW and NL: formal analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This research was supported by Guizhou Science and Technology Program Qian Ke He Ping Tai Ren Cai (Grant Nos. [2018] 5254 and [2018] 5781), Qian Ke He Zhicheng (Grant No. [2022] Zhongdian007), Qian Ke Zhong Yin Di (Grant No. [2022] 4003), Qian Ke He Zhicheng (Grant No. [2021] yiban175), Qian Ke He Jichu (Grant No. [2019] 1071), Qian Ke He Zhicheng (Grant No. [2020] 1Y171), Establishment of Guizhou Modern Agriculture Industry Technical System (Characteristic Coarse Cereals) (Grant No. Qian Cai Nong [2018] 81), and Key Agricultural Technology Extension Project of Guizhou Province (Grant No. [2017] 106).</p>
</sec>
<ack><p>We thank the &#x201C;Guizhou Bijie Institute of Agricultural Sciences of China&#x201D; for providing experimental material.</p>
</ack>
<sec id="S9" 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="S10" 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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>&#x03B1; -AI, alpha-amylase inhibitor; ELISA, enzyme-linked immunosorbent assay; Na<sub>2</sub>CO<sub>3</sub>, sodium carbonate; NaNO<sub>2</sub>, sodium nitrite; AlCl<sub>3</sub>.6H<sub>2</sub>O, aluminum chloride hexahydrate; DNS, 3,5-dinitrosalicylic acid; PBS, phosphate buffered saline; HPLC, high-performance liquid chromatography; AUC, area under the curve; TP, total phenolics; TF, total flavonoids; DW, dry weight; IR, inhibition rate; IVGI, <italic>in vitro</italic> glycemic index; HI, hydrolysis index; SPSS, statistical product service solutions; ANOVA, analysis of variance.</p></fn>
</fn-group>
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