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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Antibiot.</journal-id>
<journal-title>Frontiers in Antibiotics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Antibiot.</abbrev-journal-title>
<issn pub-type="epub">2813-2467</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frabi.2024.1364946</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Antibiotics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Health risk assessment of ciprofloxacin, tetracycline, and oxytetracycline residues in raw, frozen, and boiled broiler chicken available in a local area of Bangladesh</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Haque</surname>
<given-names>Shaila</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jamil</surname>
<given-names>Md. Yusuf</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Md. Shahinul Haque</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Reza</surname>
<given-names>Md. Sajib Al</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2654294"/>
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<contrib contrib-type="author">
<name>
<surname>Esrafil</surname>
<given-names>Md.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Abedin</surname>
<given-names>Md. Zainul</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Zubair</surname>
<given-names>Md. Abu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Sikder</surname>
<given-names>Md. Asaduzzaman</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bari</surname>
<given-names>Luthfunnesa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Food Technology and Nutritional Science, Mawlana Bhashani Science and Technology University</institution>, <addr-line>Tangail</addr-line>, <country>Bangladesh</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Chemistry, Bangladesh University of Health Science</institution>, <addr-line>Dhaka</addr-line>, <country>Bangladesh</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Biochemistry and Molecular Biology, Mawlana Bhashani Science and Technology University</institution>, <addr-line>Tangail</addr-line>, <country>Bangladesh</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jianping Xie, Southwest University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Mohd Nasir Mohd Desa, Putra Malaysia University, Malaysia</p>
<p>Sandip Patil, Shenzhen Children&#x2019;s Hospital, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Luthfunnesa Bari, <email xlink:href="mailto:luthfunnesa.ftns@gmail.com">luthfunnesa.ftns@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>04</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>3</volume>
<elocation-id>1364946</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>02</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Haque, Jamil, Khan, Reza, Esrafil, Abedin, Zubair, Sikder and Bari</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Haque, Jamil, Khan, Reza, Esrafil, Abedin, Zubair, Sikder and Bari</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>
<sec>
<title>Introduction</title>
<p>The misuse of antibiotics in poultry farming is a global issue.</p>
</sec>
<sec>
<title>Objective</title>
<p>The focus of this study was the health risk assessment of consumers from the determination of ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC) in broiler chicken in the raw, frozen, and boiled stages using solid-phase extraction, high-performance liquid chromatography, and ultraviolet detection (SPE-HPLC-UV).</p>
</sec>
<sec>
<title>Materials and methods</title>
<p>Chromatographic separation was achieved using 0.3% metaphosphoric acid and acetonitrile (1:10, <italic>v</italic>/<italic>v</italic>) for CIP at 280 nm and oxalic acid (0.01 M) and acetonitrile (1:1, <italic>v</italic>/<italic>v</italic>) for TC and OTC at 355 nm with different retention times. The method had an acceptable precision with good linearity, specificity, limit of detection, limit of quantification, accuracy, and stability.</p>
</sec>
<sec>
<title>Results</title>
<p>Among a total of 252 raw samples, approximately 68.25%, 25.4%, and 7.54% contained CIP, TC, and OTC, respectively. Out of the positive raw samples, CIP exceeded the maximum residual limit (MRL) in 3.6% muscle, 14.3% liver and 17.9% skin samples, whereas TC and OTC were below the MRLs. The residual concentrations of these antibiotics were almost unchanged in frozen samples. After boiling the chicken samples, the TC and OTC residues were reduced significantly compared to CIP. Although the concentrations of CIP in boiled samples were above the MRL set by the European Union, these did not exceed the hazard index 1.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Based on these results, the exposure levels to antibiotics in broiler chicken meats may be considered to have a low risk for human health.</p>
</sec>
</abstract>
<kwd-group>
<kwd>health risk</kwd>
<kwd>broiler chicken</kwd>
<kwd>ciprofloxacin</kwd>
<kwd>tetracycline</kwd>
<kwd>oxytetracycline</kwd>
<kwd>HPLC</kwd>
<kwd>hazard index</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="83"/>
<page-count count="15"/>
<word-count count="7858"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Antibiotic Resistance</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Since their discovery and development, antibiotics have been frequently used as veterinary and human medicines to treat various infectious diseases (<xref ref-type="bibr" rid="B67">Samanidou et&#xa0;al., 2007</xref>). They can either have activity against a broad spectrum of microorganisms or can be active against a small extent of specific organisms (<xref ref-type="bibr" rid="B66">Samanidou et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B65">Samanidou and Evaggelopoulou, 2015</xref>). As veterinary drugs, antibiotics play a vital role in the maximal production of industrial farm animals and in reducing the morbidity and mortality rates among livestock (<xref ref-type="bibr" rid="B56">Page and Gautier, 2012</xref>). Ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC) are the most frequently applied veterinary drugs in Bangladesh. The main causes of antibiotic residues include the unauthorized use and unrestricted administration of veterinary medications to healthy animals, as well as failing to consider the withdrawal period, not seeking professional advice, using medications beyond the recommended dosage, administering medications frequently, and increasing dosing (<xref ref-type="bibr" rid="B12">Baran et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B22">Croubels and Daeseleire, 2012</xref>; <xref ref-type="bibr" rid="B13">Bitas et&#xa0;al., 2018</xref>). These residues have the potential to be hazardous to human health and can trigger allergic reactions. In addition, the prolonged accumulation of CIP, TC, and OTC residues can lead to the growth of microorganisms that cause antibiotic resistance (<xref ref-type="bibr" rid="B27">Garcia et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B26">Fan et&#xa0;al., 2020</xref>). To ensure the reduction of the quantity of veterinary drugs from the edible parts of farm animals, a minimum withdrawal time between the administration of antibiotics and the slaughter has been established (<xref ref-type="bibr" rid="B22">Croubels and Daeseleire, 2012</xref>). The European Union (EU) has established maximum residual limits (MRLs) for residues of veterinary pharmaceuticals, including CIP, TC, and OTC, in animal tissues and derivative foods entering the human food chain in Council Regulation EEC 37/2010 and its later modification [Commission Regulation (EU) No. 37/2010 of 22 December 2009, L.15/1-72]. Monitoring is therefore required to ensure that antibacterial agents are not present in quantities that could endanger the health of the general public. Recently, multi-residue techniques have been created for a variety of residue classes observed in animal tissues, including fluoroquinolones (<xref ref-type="bibr" rid="B69">Schneider et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B75">Verdon et&#xa0;al., 2005</xref>) and TCs (<xref ref-type="bibr" rid="B7">Anderson et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B19">Cinquina et&#xa0;al., 2003a</xref>). HPLC has a reputation for being a reliable and highly selective separative tool (<xref ref-type="bibr" rid="B6">Almalki et&#xa0;al., 2021</xref>) for detecting antibiotic residues. Although a lot of initiatives have been taken from government regulatory bodies, the misuse of antibiotics is still occurring. The presence of antibiotic residues in poultry food has become a matter of concern as its resistance is considered as a health risk. Therefore, annual monitoring is mandatory. The aims of the present study were to determine CIP, TC, and OTC residues from poultry samples collected from Tangail Sadar Upazila using HPLC and to assess their risks to consumer health.</p>
</sec>
<sec id="s2">
<title>Experimental</title>
<sec id="s2_1">
<title>Sampling</title>
<p>For this study, a total of 252 breast muscle, liver, and skin samples at raw, cooked, and frozen stages were prepared from 56 fresh broiler chickens. These chickens, weighing 1.0&#x2013;2.0 kg, were purchased from seven traditional local bazaars in Tangail Sadar Upazila, Bangladesh. Upon collection, all samples were first defeathered and placed in clean, sterile polyethylene bags, which were then transported to the laboratory as quickly as possible. Frozen samples were then immediately stored in a refrigerator (WFA-2A3-ELXX-XX, Walton, Bangladesh) at &#x2212;2&#xb0;C for 3 days to determine the quantity of antibiotic residues in each sample.</p>
</sec>
<sec id="s2_2">
<title>Chemicals and reagents</title>
<p>Ciprofloxacin hydrochloride (C<sub>17</sub>H<sub>21</sub>CLFN<sub>3</sub>O<sub>4</sub>, 385.81 g/mol), a fine crystalline powder, and 98% oxytetracycline hydrochloride (C<sub>22</sub>H<sub>24</sub>N<sub>2</sub>O<sub>9</sub>&#xb7;HCL, 496.90 g/mol), a yellow crystalline powder, were purchased from the International Laboratory (South San Francisco, CA, USA). Tetracycline hydrochloride (C<sub>22</sub>H<sub>24</sub>N<sub>2</sub>O<sub>8</sub>&#xb7;HCL, 480.91 g/mol) was obtained from Alfa Aesar (Thermo Fisher Scientific, Lancashire, UK). HPLC grade methanol was purchased from Thermo Scientific&#x2122; (Princeton, NJ, USA), and acetonitrile was manufactured by J.T.Baker<sup>&#xae;</sup>, Avantor<sup>&#xae;</sup> Performance Materials LLC (Center Valley, PA, USA). Analytical grade oxalic acid (HO<sub>2</sub>CCO<sub>2</sub>H&#xb7;2H<sub>2</sub>O, 126.07 g/mol) was from BDH Laboratory Supplies (Poole, UK). HPLC grade acetic acid (CH<sub>3</sub>COOH, 100%) was purchased from Sigma-Aldrich (Merck, Darmstadt, Germany). Meta-phosphoric acid (HPO<sub>3</sub>, 39%&#x2013;43%) was obtained from Alfa Aesar (Thermo Fisher Scientific, Lancashire, UK). Distilled and deionized water, with resistivity &gt;18 M&#x3a9; cm<sup>&#x2212;1</sup> at 25&#xb0;C and total organic carbon (TOC) &lt;5 ppb before extraction in the laboratory, was obtained from Labconco 9000620 WaterPro PS-series (Kansas City, MO, USA).</p>
</sec>
<sec id="s2_3">
<title>Instrumentation</title>
<p>For the chromatographic determination of CIP, TC, and OTC, an LC-20AT pump equipped with a Shimadzu CBM-20A system controller (Kyoto, Japan) permitting an automated operation that delivers the solvent system to the analytical column was employed. A Rok 5 &#xb5;m C18, 100 &#xc5;, 250 &#xd7; 4.6-mm analytical column (Restek, PA, USA) was used. Injection of the sample was manually accomplished through a Rheodyne&#x2122; 7125i injection valve equipped with a 20-&#xb5;l loop. Detection was performed using a UV detector at a wavelength of 280 nm for CIP and at 355 nm for TC and OTC, which complied with the LabSolutions software by Shimadzu for data acquisition. Mobile phases were degassed with a glass vacuum filter (IDEX Corporation, Benton Harbor, MI, USA) using Whatman filter paper (PALL Corporation, Mumbai, India). A TRXA-C vortex (TRIU, China) and a UBT-580 ultrasonic bath (Unilab, USA) were used for proper homogenization. The samples were extracted with a 50-ml Sorvall-ST-8R centrifuge (Thermo Fisher Scientific, Osterode, Germany) and a rotary vacuum evaporator (2610000; Witeg, Wertheim, Germany). A 3-ml Resprep C18 cartridge (26031; Restek, PA, USA) was used for the cleanup procedure. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the experimental conditions for HPLC for the determination of CIP, TC, and OTC.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Chromatographic conditions for HPLC for the determination of ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">HPLC system</th>
<th valign="top" colspan="3" align="center">Conditions</th>
</tr>
<tr>
<th valign="top" align="center">CIP</th>
<th valign="top" align="center">TC</th>
<th valign="top" align="center">OTC</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Column</td>
<td valign="top" align="left">Restek C18 <break/>(250 &#xd7; 4.6, <break/>5 &#xb5;m)</td>
<td valign="top" align="left">Restek C18 (250 &#xd7; 4.6, 5 &#xb5;m)</td>
<td valign="top" align="left">Restek C18 (250 &#xd7; 4.6, 5 &#xb5;m)</td>
</tr>
<tr>
<td valign="top" align="left">Solvent system</td>
<td valign="top" align="left">2% acetic acid and 95% acetonitrile</td>
<td valign="top" align="left">Methanol, acetonitrile, and oxalic acid (0.01 M)</td>
<td valign="top" align="left">Methanol, acetonitrile, and oxalic acid (0.01 M)</td>
</tr>
<tr>
<td valign="top" align="left">Solvent system ratio</td>
<td valign="top" align="left">83:17, <italic>v</italic>/<italic>v</italic>
</td>
<td valign="top" align="left">5:18:77, <italic>v</italic>/<italic>v</italic>/<italic>v</italic>
</td>
<td valign="top" align="left">5:18:77, <italic>v</italic>/<italic>v</italic>/<italic>v</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">Flow rate (ml/min)</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1</td>
</tr>
<tr>
<td valign="top" align="left">Injection volume (&#xb5;l)</td>
<td valign="top" align="left">20</td>
<td valign="top" align="left">20</td>
<td valign="top" align="left">20</td>
</tr>
<tr>
<td valign="top" align="left">Pump pressure (kg/m<sup>2</sup>)</td>
<td valign="top" align="left">130&#x2013;137</td>
<td valign="top" align="left">128&#x2013;134</td>
<td valign="top" align="left">128&#x2013;134</td>
</tr>
<tr>
<td valign="top" align="left">Wavelength</td>
<td valign="top" align="left">280 nm</td>
<td valign="top" align="left">355 nm</td>
<td valign="top" align="left">355 nm</td>
</tr>
<tr>
<td valign="top" align="left">Retention time</td>
<td valign="top" align="left">8.6 &#xb1; 0.4</td>
<td valign="top" align="left">8.7 &#xb1; 0.4</td>
<td valign="top" align="left">6.7 &#xb1; 0.4</td>
</tr>
<tr>
<td valign="top" align="left">Run time (min)</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">12</td>
</tr>
<tr>
<td valign="top" align="left">Temperature</td>
<td valign="top" align="left">Ambient</td>
<td valign="top" align="left">Ambient</td>
<td valign="top" align="left">Ambient</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_4">
<title>Preparation of standard and sample extraction</title>
<p>Aqueous stock solutions of 100 &#xb5;g/ml were prepared by taking 5 mg of each CIP, TC, and OTC standard in a 50-ml volumetric flux and made up to the mark by dissolving them (2% acetic acid and 100% acetonitrile in a ratio 82:18, <italic>v</italic>/<italic>v</italic>, for CIP and pure methanol for TC and OTC). The stock solutions were found to be stable for at least 1 month when wrapped with paraffin wax and stored at refrigerated temperature (4&#xb0;C). Working standard concentrations of 0.0195, 0.039, 0.078, 0.156, 0.195, 0.3125, 0.39, 0.625, 0.78, 1.25, 1.56, 2.5, 3.125, and 5 &#xb5;g/ml were prepared from stock solution using the same dilution solvents.</p>
<p>A precise weight of 5 &#xb1; 0.02 g by analytical balance (PH224; OHAUS Corporation, Parsippany, NJ, USA) from each muscle, liver, and skin sample at three stages (i.e., raw, boiled, and frozen) was blended separately using a blender (MX-AC300; Panasonic Corporation, Gurugram, India) or smashed with a mortar and pestle and then transferred into a 50-ml centrifuge tube. Fortified samples were prepared by adding the working solutions of CIP, TC, and OTC at various concentrations with the smashed samples. Subsequently, 15 ml of the extraction solvent [0.3% meta-phosphoric acid and acetonitrile (1:10, <italic>v</italic>/<italic>v</italic>) for CIP and 0.01 M oxalic acid and acetonitrile (1:1, <italic>v</italic>/<italic>v</italic>) for TC and OTC] was added into the centrifuge tube. The mixture was homogenized using a vortex for approximately 10 min, followed by sonication at 30&#xb0;C for 10 min. The mixture was then centrifuged at 9,000 rpm at 21&#xb0;C for approximately 10 min. The residual liquid was centrifuged again under the same conditions. For CIP determination, the supernatant was collected with a 1,000-&#xb5;l micropipette from the rotary evaporator flask, which was partially evaporated at 40&#xb0;C for 3&#x2013;4 min prior to centrifugation. Solid phase extraction (SPE) was carried out with the help of C18 cartridges for the cleanup procedure, which was preconditioned by passing 3 ml methanol and 3 ml HPLC grade deionized water. The sample was then filtered using a Sterlitech (Kent, WA, USA), 25 mm, 0.22 &#xb5;m, hydrophilic (PTFE) syringe filter, and an aliquot of 20 &#xb5;l was injected into the HPLC system. The frozen (&#x2212;2&#xb0;C) and boiled (100&#xb0;C) samples were prepared using the same process after thawing and cooling at room temperature.</p>
</sec>
<sec id="s2_5">
<title>Method validation</title>
<p>The proposed HPLC analytical method was appropriately evaluated in terms of specificity, linearity, sensitivity, accuracy, precision, and stability using both working standard solutions and spiked samples of muscle, liver, and skin in accordance with the European Community&#x2019;s defined validation protocol for antibiotic residues in food items of animal origin (<xref ref-type="bibr" rid="B25">Communities, 2002</xref>).</p>
<p>Linearity evaluation was performed by injecting seven working standards (range, 0.0195&#x2013;5 &#xb5;g/ml) for CIP and five different concentrations each for TC and OTC (0.195, 0.39, 0.78, 1.56, and 3.125 &#xb5;g/ml) with two replicate injections. The working concentrations were prepared by diluting the stock solutions with dilution solvents. The calibration curves with respective correlation coefficients (<italic>R</italic>
<sup>2</sup>) were obtained by linear regression analysis. In terms of recovery, accuracy analysis was performed in spiked samples with working standards at four concentration levels (i.e., 250, 500, 1,250, and 2,000 &#xb5;g/kg) for CIP and at three concentration levels (i.e., 500, 1,000, and 1,250 &#xb5;g/kg) each for TC and OTC. Repeatability for precision study was performed by diluting the stock standard solution at different concentrations. The intra-assay repeatability at two concentration levels was analyzed three different times within a day. Inter-assay repeatability was performed comparing three consecutive days by assessing the same concentrations. The results were expressed using relative standard deviation. The limit of detection (LOD) and limit of quantification (LOQ) were used to assess the sensitivity of the method. The LOD and LOQ were established at concentrations where, under the circumstances of our HPLC, the signal-to-noise (S/N) ratios were equal to 3.3 and 10, respectively, for each antibiotic residue in broiler chicken samples (i.e., muscle, liver, and skin). The LOD and LOQ were calculated based on S/N ratios occupying the following equations, where <italic>&#x3c3;</italic> is the SD of the response and <italic>s</italic> is the slope of the calibration curve. Specificity of the analytical approach can distinguish between the analytes of interest and other compounds that are likely to be present in the sample matrix. The interference of other compounds present in the matrix was verified by injecting 15 different samples for each antibiotic, including a blank, standard, and a spiked sample (five for each). In the case of the HPLC procedure, full separation of the analyte peaks from other interfering signals originated in the sample matrix was ascertained. Since the stability of stock and matrix constituents during analysis at storage may cause significant deviations in the results, monitoring the stability is of paramount importance. For this, both the standard and the sample matrix were verified at room temperature at 0 h and after 24 h at 25&#xb0;C and 4&#xb0;C. Three replicate injections were performed each time.</p>
</sec>
<sec id="s2_6">
<title>Health risk assessments</title>
<p>Daily exposure to CIP, TC, and OTC of the human body from edible parts of poultry chicken was assessed by calculating the estimated daily intake (EDI), as described by <xref ref-type="bibr" rid="B47">Moudgil et&#xa0;al. (2019a)</xref>: EDI (&#xb5;g/kg body weight per day) = <italic>C</italic> &#xd7; DIF/BW, where <italic>C</italic> is the mean concentration of the antibiotic in poultry (in micrograms per gram), DIF is the daily intake of food (in grams per day), and BW is the mean body weight (bw) of adult (60 kg). To calculate EDI, the maximum mean concentration of the antibiotic was considered. According to FAO/WHO, the average daily intake (ADI) for CIP is 2 &#xb5;g/kg bw per day and that for both TC and OTC is 30 &#xb5;g/kg bw per day. The Report of the Household Income and Expenditure Survey (2016) published that the poultry meat consumption rate for a 60-kg Bangladeshi adult is 17.33 g/day (<xref ref-type="bibr" rid="B4">Ahmed et al., 2022</xref>). In Bangladesh, the consumption rate of liver tissue was estimated at 3 g/person per day (<xref ref-type="bibr" rid="B82">Zeinali et&#xa0;al., 2019</xref>). To predict the long-term effects on health, a hazard index (HI) was calculated using the equation HI = EDI/ADI. HI less than 1 denotes that the poultry meat is safe for human consumption. However, 1 &#x2264; HI &#x2264; 10 warns a risk, but not emergency, while HI &gt; 10 indicates an unacceptable risk for consumption (<xref ref-type="bibr" rid="B54">Oyedeji et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s2_7">
<title>Statistical analysis</title>
<p>For this research, a descriptive analysis encompassing the mean, standard deviation (SD), and relative standard deviation (RSD) was performed and analyzed using Microsoft Excel 2010. A <italic>t</italic>-test was conducted using SPSS version 25.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Validation and method performance</title>
<p>The separation and specificity of the SPE-HPLC-UV method for the analysis of CIP, TC, and OTC residues are illustrated in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> by comparing the chromatograms of the blank, standard, and the sample spiked with antibiotics. No endogenous compound present in the sample matrix appeared to interfere at the retention times of the CIP (8.5 &#xb1; 0.4, 280 nm), TC (8.9 &#xb1; 0.3, 355 nm), and OTC (6.9 &#xb1; 0.3, 355 nm) peaks, showing that the method was extremely specific for this analysis. The chicken samples containing antibiotic residues were spiked with each standard. The obtained peak area was increased to a significant level, which indicated the specificity of the method. The calibration curves in the concentration range from 0.0195 to 5 &#xb5;g/ml for CIP and from 0.195 to 3.125 &#xb5;g/ml for both TC and OTC standards showed good linearity (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Chromatograms of the blank ciprofloxacin (CIP) <bold>(A)</bold>, blank tetracycline (TC) and oxytetracycline (OTC) <bold>(B)</bold>, CIP standard <bold>(C)</bold>, TC and OTC standard <bold>(D)</bold>, muscle sample spiked with CIP <bold>(E)</bold>, and the skin sample spiked with TC and OTC <bold>(F)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frabi-03-1364946-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Calibration curve of the ciprofloxacin (CIP) standard (from 0.0195 to 5 &#xb5;g/ml) <bold>(A)</bold>, tetracycline (TC) standard <bold>(B)</bold>, and oxytetracycline (OTC) standard (0.195 to 3.125 &#xb5;g/ml for both TC and OTC) <bold>(C)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frabi-03-1364946-g002.tif"/>
</fig>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> shows the highly significant correlation coefficient (<italic>R</italic>
<sup>2</sup>) values ranging from 0.9964 to 0.9999 from the linear regression for each antibiotic. The accuracy of the CIP-spiked samples was between 60.53% and 77.37%, while that for the TC- and OTC-spiked samples was 85.26%&#x2013;99.87%. The RSD value of each spiked sample was less than 2, which showed good accuracy of the methods, in accordance with the acceptance criteria set out in the European Commission Decision 2002/657 (<xref ref-type="bibr" rid="B25">Communities, 2002</xref>). The LOD and LOQ were found to be 3.8&#x2013;20.8 and 12.2&#x2013;69.5 &#xb5;g/kg, respectively, for the three selected antibiotics (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Analytical features of the method.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Antibiotic</th>
<th valign="top" rowspan="2" align="center">Sample (&#xb5;g/kg)</th>
<th valign="top" colspan="3" align="center">Accuracy</th>
<th valign="top" rowspan="2" align="center">LOD (&#xb5;g/kg)</th>
<th valign="top" rowspan="2" align="center">LOQ (&#xb5;g/kg)</th>
<th valign="top" rowspan="2" align="center">
<italic>R</italic>
<sup>2</sup>
</th>
<th valign="top" rowspan="2" align="center">Linearity</th>
</tr>
<tr>
<th valign="top" align="center">Found conc. &#xb1; SD</th>
<th valign="top" align="center">Mean recovery (%)</th>
<th valign="top" align="center">RSD (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="12" align="left">CIP</td>
<td valign="top" colspan="8" align="center">Muscle</td>
</tr>
<tr>
<td valign="top" align="left">250</td>
<td valign="top" align="left">168.18 &#xb1; 1.28</td>
<td valign="top" align="center">67.27</td>
<td valign="top" align="left">0.76</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">500</td>
<td valign="top" align="left">336.43 &#xb1; 1.79</td>
<td valign="top" align="center">67.29</td>
<td valign="top" align="left">0.53</td>
<td valign="top" align="left">9.715</td>
<td valign="top" align="left">29.439</td>
<td valign="top" align="left">0.9999</td>
<td valign="top" align="left">113,690<italic>x</italic> &#x2212; 4,358.3</td>
</tr>
<tr>
<td valign="top" align="left">1,250</td>
<td valign="top" align="left">813.2 &#xb1; 1.81</td>
<td valign="top" align="center">65.06</td>
<td valign="top" align="left">0.22</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="8" align="center">Liver</td>
</tr>
<tr>
<td valign="top" align="left">250</td>
<td valign="top" align="left">162.09 &#xb1; 2.67</td>
<td valign="top" align="center">64.84</td>
<td valign="top" align="left">1.65</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">500</td>
<td valign="top" align="left">325.38 &#xb1; 2.16</td>
<td valign="top" align="center">65.08</td>
<td valign="top" align="left">0.66</td>
<td valign="top" align="left">18.949</td>
<td valign="top" align="left">57.421</td>
<td valign="top" align="left">0.9993</td>
<td valign="top" align="left">103,198<italic>x</italic> + 2,005.5</td>
</tr>
<tr>
<td valign="top" align="left">1,250</td>
<td valign="top" align="left">796.02 &#xb1; 8.71</td>
<td valign="top" align="center">63.68</td>
<td valign="top" align="left">1.09</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="8" align="center">Skin</td>
</tr>
<tr>
<td valign="top" align="left">250</td>
<td valign="top" align="left">193.42 &#xb1; 3.01</td>
<td valign="top" align="center">77.37</td>
<td valign="top" align="left">1.55</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">500</td>
<td valign="top" align="left">336.97 &#xb1; 4.47</td>
<td valign="top" align="center">67.39</td>
<td valign="top" align="left">1.33</td>
<td valign="top" align="left">10.398</td>
<td valign="top" align="left">31.503</td>
<td valign="top" align="left">0.9966</td>
<td valign="top" align="left">126,528<italic>x</italic> &#x2212; 3,525</td>
</tr>
<tr>
<td valign="top" align="left">1,250</td>
<td valign="top" align="left">756.67 &#xb1; 12.39</td>
<td valign="top" align="center">60.53</td>
<td valign="top" align="left">1.64</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">TC</td>
<td valign="top" colspan="8" align="center">Muscle</td>
</tr>
<tr>
<td valign="middle" align="left">500</td>
<td valign="middle" align="left">459.62 &#xb1; 3.6</td>
<td valign="middle" align="center">91.92</td>
<td valign="middle" align="left">0.78</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">852.60 &#xb1; 7.6</td>
<td valign="middle" align="center">85.26</td>
<td valign="middle" align="left">0.89</td>
<td valign="middle" align="left">10.8</td>
<td valign="middle" align="left">35.9</td>
<td valign="middle" align="left">0.9964</td>
<td valign="top" align="left">6.525<italic>x</italic> + 521.24</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,100.39 &#xb1; 14.2</td>
<td valign="middle" align="center">88.03</td>
<td valign="middle" align="left">1.29</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" rowspan="8" align="left"/>
<td valign="top" colspan="8" align="center">Liver</td>
</tr>
<tr>
<td valign="middle" align="left">500</td>
<td valign="middle" align="left">496.31 &#xb1; 1.0</td>
<td valign="middle" align="center">99.26</td>
<td valign="middle" align="left">0.20</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">927.89 &#xb1; 11.4</td>
<td valign="middle" align="center">92.79</td>
<td valign="middle" align="left">1.23</td>
<td valign="middle" align="left">3.8</td>
<td valign="middle" align="left">12.2</td>
<td valign="middle" align="left">0.9997</td>
<td valign="top" align="left">6.5301<italic>x</italic> + 877.2</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,128.26 &#xb1; 15.4</td>
<td valign="middle" align="center">90.26</td>
<td valign="middle" align="left">1.36</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="8" align="center">Skin</td>
</tr>
<tr>
<td valign="middle" align="left">500</td>
<td valign="middle" align="left">492.81 &#xb1; 6.7</td>
<td valign="middle" align="center">98.56</td>
<td valign="middle" align="left">1.36</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">934.75 &#xb1; 12.9</td>
<td valign="middle" align="center">93.47</td>
<td valign="middle" align="left">1.38</td>
<td valign="middle" align="left">20.8</td>
<td valign="middle" align="left">69.5</td>
<td valign="middle" align="left">0.9999</td>
<td valign="top" align="left">6.7373<italic>x</italic> + 740.7</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,145.65 &#xb1; 7.2</td>
<td valign="middle" align="center">91.65</td>
<td valign="middle" align="left">0.63</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" rowspan="12" align="left">OTC</td>
<td valign="top" colspan="8" align="center">Muscle</td>
</tr>
<tr>
<td valign="middle" align="left">500</td>
<td valign="middle" align="left">449.95 &#xb1; 4.9</td>
<td valign="middle" align="center">89.99</td>
<td valign="middle" align="left">1.09</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">907.65 &#xb1; 6.6</td>
<td valign="middle" align="center">90.77</td>
<td valign="middle" align="left">0.72</td>
<td valign="middle" align="center">15.2</td>
<td valign="middle" align="center">50.7</td>
<td valign="middle" align="center">0.996</td>
<td valign="top" align="left">7.1183<italic>x</italic> &#x2212; 115.8</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,215.10 &#xb1; 13.1</td>
<td valign="middle" align="center">97.21</td>
<td valign="middle" align="left">1.08</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="8" align="center">Liver</td>
</tr>
<tr>
<td valign="middle" align="left">500</td>
<td valign="middle" align="left">431.24 &#xb1; 4.2</td>
<td valign="middle" align="center">86.25</td>
<td valign="middle" align="left">0.98</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">908.84 &#xb1; 13.9</td>
<td valign="middle" align="center">90.88</td>
<td valign="middle" align="left">1.53</td>
<td valign="middle" align="center">12.2</td>
<td valign="middle" align="center">40.8</td>
<td valign="middle" align="center">0.9951</td>
<td valign="top" align="left">6.4459<italic>x</italic> + 204.1</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,084.81 &#xb1; 4.6</td>
<td valign="middle" align="center">86.78</td>
<td valign="middle" align="left">0.43</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" colspan="8" align="center">Skin</td>
</tr>
<tr>
<td valign="middle" align="left">500</td>
<td valign="middle" align="left">475.06 &#xb1; 1.1</td>
<td valign="middle" align="center">95.01</td>
<td valign="middle" align="left">0.23</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">998.72 &#xb1; 10.9</td>
<td valign="middle" align="center">99.87</td>
<td valign="middle" align="left">1.09</td>
<td valign="middle" align="center">4.0</td>
<td valign="middle" align="center">13.3</td>
<td valign="middle" align="center">0.9963</td>
<td valign="top" align="left">7.1373<italic>x</italic> + 176</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,200.03 &#xb1; 9.1</td>
<td valign="middle" align="center">96.00</td>
<td valign="middle" align="left">0.76</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RSD, relative standard deviation; LOD, limit of detection; LOQ, limit of quantification.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The RSDs of the intra- and inter-day precision of the spiked chicken samples were 1.10%&#x2013;4.57% and 1.18%&#x2013;4.64% for CIP, 1%&#x2013;4.09% and 1.31%&#x2013;5.74% for TC, and 0.30%&#x2013;1.28% and 1.29%&#x2013;3.28% for OTC, respectively, as presented in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. The recovery of CIP observed 62.50%&#x2013;70.41% in intra-day and 64.58%&#x2013;70.58% in inter-day precision (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). For TC and OTC, the recoveries (92.52%&#x2013;101.22%) from the skin were higher than those from the muscle and liver (79.27%&#x2013;96.70%). These results on precision met the criteria set out in the European Commission Decision 2002/657 (<xref ref-type="bibr" rid="B25">Communities, 2002</xref>). The stability studies of the methods for the CIP-, TC-, and OTC-spiked samples are summarized in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. At different times and temperatures, the mean recovery and the %RSD of CIP, TC, and OTC in the muscle were 65.27%&#x2013;92.12% and 0.52%&#x2013;2.83%, respectively. In the liver, the mean recovery was 60.92%&#x2013;93.90%, whereas this was higher in the skin, which ranged 67.17%&#x2013;106.2%; the RSD was below 2% in both samples of CIP, TC, and OTC.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Intra- and inter-day precision of spiked muscle, liver, and skin samples.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" colspan="2" align="left"/>
<th valign="top" rowspan="2" align="left">Added conc. (&#xb5;g/kg)</th>
<th valign="top" colspan="3" align="center">Intra-day (<italic>n</italic> = 9)</th>
<th valign="top" colspan="3" align="center">Inter-day (<italic>n</italic> = 9)</th>
</tr>
<tr>
<th valign="top" align="left">Found conc. &#xb1; SD</th>
<th valign="top" align="left">RSD (%)</th>
<th valign="top" align="left">Recovery (%)</th>
<th valign="top" align="left">Found conc. &#xb1; SD</th>
<th valign="top" align="left">RSD (%)</th>
<th valign="top" align="left">Recovery (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="left">CIP</td>
<td valign="top" rowspan="2" align="left">Muscle</td>
<td valign="top" align="left">500</td>
<td valign="top" align="left">326.89 &#xb1; 9.346</td>
<td valign="top" align="left">2.86</td>
<td valign="top" align="center">65.30</td>
<td valign="top" align="left">333.16 &#xb1; 13.73</td>
<td valign="top" align="left">3.73</td>
<td valign="top" align="center">66.94</td>
</tr>
<tr>
<td valign="top" align="left">1,250</td>
<td valign="top" align="left">824.86 &#xb1; 9.099</td>
<td valign="top" align="left">1.10</td>
<td valign="top" align="center">65.99</td>
<td valign="top" align="left">846.31 &#xb1; 18.43</td>
<td valign="top" align="left">2.18</td>
<td valign="top" align="center">67.70</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Liver</td>
<td valign="top" align="left">500</td>
<td valign="top" align="left">325.76 &#xb1; 4.11</td>
<td valign="top" align="left">1.26</td>
<td valign="top" align="center">65.15</td>
<td valign="top" align="left">337.03 &#xb1; 15.96</td>
<td valign="top" align="left">4.64</td>
<td valign="top" align="center">67.41</td>
</tr>
<tr>
<td valign="top" align="left">1,250</td>
<td valign="top" align="left">781.22 &#xb1; 34.30</td>
<td valign="top" align="left">4.39</td>
<td valign="top" align="center">62.50</td>
<td valign="top" align="left">807.34 &#xb1; 35.68</td>
<td valign="top" align="left">4.37</td>
<td valign="top" align="center">64.58</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Skin</td>
<td valign="top" align="left">500</td>
<td valign="top" align="left">352.03 &#xb1; 16.09</td>
<td valign="top" align="left">4.57</td>
<td valign="top" align="center">70.41</td>
<td valign="top" align="left">351.97 &#xb1; 20.28</td>
<td valign="top" align="left">4.49</td>
<td valign="top" align="center">70.58</td>
</tr>
<tr>
<td valign="top" align="left">1,250</td>
<td valign="top" align="left">846.004 &#xb1; 27.8</td>
<td valign="top" align="left">3.29</td>
<td valign="top" align="center">67.68</td>
<td valign="top" align="left">847.31 &#xb1; 17.717</td>
<td valign="top" align="left">1.18</td>
<td valign="top" align="center">67.79</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">TC</td>
<td valign="top" rowspan="2" align="left">Muscle</td>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">792.74 &#xb1; 8.5</td>
<td valign="middle" align="left">4.09</td>
<td valign="middle" align="center">79.27</td>
<td valign="middle" align="left">815.30 &#xb1; 9.9</td>
<td valign="middle" align="left">5.24</td>
<td valign="middle" align="center">81.53</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,108.0 &#xb1; 13.3</td>
<td valign="middle" align="left">2.38</td>
<td valign="middle" align="center">88.64</td>
<td valign="middle" align="left">1,115.83 &#xb1; 10.7</td>
<td valign="middle" align="left">2.84</td>
<td valign="middle" align="center">89.27</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Liver</td>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">885.47 &#xb1; 12.1</td>
<td valign="middle" align="left">1.96</td>
<td valign="middle" align="center">88.55</td>
<td valign="middle" align="left">921.31 &#xb1; 12.1</td>
<td valign="middle" align="left">1.31</td>
<td valign="middle" align="center">92.13</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,067.06 &#xb1; 35.1</td>
<td valign="middle" align="left">3.29</td>
<td valign="middle" align="center">85.37</td>
<td valign="middle" align="left">1,123.0 &#xb1; 39.0</td>
<td valign="middle" align="left">3.47</td>
<td valign="middle" align="center">89.84</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Skin</td>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">935.98 &#xb1; 10.7</td>
<td valign="middle" align="left">1.14</td>
<td valign="middle" align="center">93.60</td>
<td valign="middle" align="left">1,026.66 &#xb1; 59.0</td>
<td valign="middle" align="left">5.74</td>
<td valign="middle" align="center">102.67</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,156.55 &#xb1; 11.6</td>
<td valign="middle" align="left">1.00</td>
<td valign="middle" align="center">92.52</td>
<td valign="middle" align="left">1,181.50 &#xb1; 33.0</td>
<td valign="middle" align="left">2.80</td>
<td valign="middle" align="center">94.52</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">OTC</td>
<td valign="top" rowspan="2" align="left">Muscle</td>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">892.61 &#xb1; 4.48</td>
<td valign="middle" align="left">0.50</td>
<td valign="middle" align="center">89.26</td>
<td valign="middle" align="left">915.72 &#xb1; 14.5</td>
<td valign="middle" align="left">2.31</td>
<td valign="middle" align="center">92.16</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,208.71 &#xb1; 10.63</td>
<td valign="middle" align="left">0.88</td>
<td valign="middle" align="center">96.70</td>
<td valign="middle" align="left">1,252.75 &#xb1; 25.3</td>
<td valign="middle" align="left">2.02</td>
<td valign="middle" align="center">100.22</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Liver</td>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">923.16 &#xb1; 11.8</td>
<td valign="middle" align="left">1.28</td>
<td valign="middle" align="center">92.32</td>
<td valign="middle" align="left">952.27 &#xb1; 12.3</td>
<td valign="middle" align="left">1.29</td>
<td valign="middle" align="center">95.23</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,101.48 &#xb1; 12.1</td>
<td valign="middle" align="left">1.10</td>
<td valign="middle" align="center">88.12</td>
<td valign="middle" align="left">1,166.77 &#xb1; 38.3</td>
<td valign="middle" align="left">3.28</td>
<td valign="middle" align="center">93.34</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Skin</td>
<td valign="middle" align="left">1,000</td>
<td valign="middle" align="left">1,012.18 &#xb1; 8.38</td>
<td valign="middle" align="left">0.83</td>
<td valign="middle" align="center">101.22</td>
<td valign="middle" align="left">1,030.37 &#xb1; 14.6</td>
<td valign="middle" align="left">1.42</td>
<td valign="middle" align="center">103.04</td>
</tr>
<tr>
<td valign="middle" align="left">1,250</td>
<td valign="middle" align="left">1,187.35 &#xb1; 3.58</td>
<td valign="middle" align="left">0.30</td>
<td valign="middle" align="center">94.99</td>
<td valign="middle" align="left">1,222.85 &#xb1; 29.51</td>
<td valign="middle" align="left">2.41</td>
<td valign="middle" align="center">97.83</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RSD, relative standard deviation; CIP, ciprofloxacin; TC, tetracycline; OTC, oxytetracycline.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Stability of the examined ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC) in poultry muscle, liver, and skin after 24 h at room temperature and at refrigerated temperature.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" rowspan="2" align="left">Injection interval</th>
<th valign="top" rowspan="2" align="left">Added conc. (&#xb5;g/kg)</th>
<th valign="top" rowspan="2" align="left">No. of replicates</th>
<th valign="top" colspan="2" align="center">Muscle</th>
<th valign="top" colspan="2" align="center">Liver</th>
<th valign="top" colspan="2" align="center">Skin</th>
</tr>
<tr>
<th valign="top" align="left">RSD (%)</th>
<th valign="top" align="left">Mean recovery (%)</th>
<th valign="top" align="left">RSD (%)</th>
<th valign="top" align="left">Mean recovery (%)</th>
<th valign="top" align="left">RSD (%)</th>
<th valign="top" align="left">Mean recovery (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="3" align="left">CIP</td>
<td valign="top" align="center">0 h</td>
<td valign="top" align="left">1,250</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">0.52</td>
<td valign="top" align="left">68.96</td>
<td valign="top" align="left">1.83</td>
<td valign="top" align="left">70.28</td>
<td valign="top" align="left">0.91</td>
<td valign="top" align="left">68.24</td>
</tr>
<tr>
<td valign="top" align="center">After 24 h at 25&#xb0;C</td>
<td valign="top" align="left">1,250</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">2.83</td>
<td valign="top" align="left">67.12</td>
<td valign="top" align="left">0.92</td>
<td valign="top" align="left">68.48</td>
<td valign="top" align="left">1.64</td>
<td valign="top" align="left">67.17</td>
</tr>
<tr>
<td valign="top" align="center">After 24 h at 4&#xb0;C</td>
<td valign="top" align="left">1,250</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">0.79</td>
<td valign="top" align="left">65.27</td>
<td valign="top" align="left">1.77</td>
<td valign="top" align="left">60.92</td>
<td valign="top" align="left">1.88</td>
<td valign="top" align="left">68.01</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">TC</td>
<td valign="top" align="center">0 h</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">1.66</td>
<td valign="top" align="left">81.07</td>
<td valign="top" align="left">1.16</td>
<td valign="top" align="left">90.44</td>
<td valign="top" align="left">0.86</td>
<td valign="top" align="left">106.2</td>
</tr>
<tr>
<td valign="top" align="center">After 24 h at 25&#xb0;C</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">1.59</td>
<td valign="top" align="left">79.84</td>
<td valign="top" align="left">1.92</td>
<td valign="top" align="left">92.33</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">102.0</td>
</tr>
<tr>
<td valign="top" align="center">After 24 h at 4&#xb0;C</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">1.97</td>
<td valign="top" align="left">80.46</td>
<td valign="top" align="left">1.92</td>
<td valign="top" align="left">89.98</td>
<td valign="top" align="left">1.77</td>
<td valign="top" align="left">98.75</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">OTC</td>
<td valign="top" align="center">0 h</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">1.04</td>
<td valign="top" align="left">92.12</td>
<td valign="top" align="left">0.30</td>
<td valign="top" align="left">93.90</td>
<td valign="top" align="left">0.97</td>
<td valign="top" align="left">104.8</td>
</tr>
<tr>
<td valign="top" align="center">After 24 h at 25&#xb0;C</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">0.57</td>
<td valign="top" align="left">88.63</td>
<td valign="top" align="left">1.30</td>
<td valign="top" align="left">90.82</td>
<td valign="top" align="left">1.38</td>
<td valign="top" align="left">100.2</td>
</tr>
<tr>
<td valign="top" align="center">After 24 h at 4&#xb0;C</td>
<td valign="top" align="left">1,000</td>
<td valign="top" align="center">3</td>
<td valign="top" align="left">0.98</td>
<td valign="top" align="left">88.23</td>
<td valign="top" align="left">1.79</td>
<td valign="top" align="left">90.90</td>
<td valign="top" align="left">1.57</td>
<td valign="top" align="left">102.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>RSD, relative standard deviation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>CIP, TC, and OTC residues</title>
<p>A total of 504 samples of muscle, liver, and skin in three different stages from 56 broiler chickens (28 for CIP and 28 for TC and OTC) were examined using the validated HPLC method for the determination of CIP, TC, and OTC. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> shows the chromatograms of CIP, TC, and OTC of the standard and chicken samples. <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref> presents the frequency of CIP, TC, and OTC residues in chicken meat, liver, and skin samples at various stages. The analytical results of the CIP, TC, and OTC residues in the muscle, liver, and skin of chicken at three different stages are shown in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> according to the permissible MRLs set by EU Council Regulation no. 2377/90. CIP residues were found in 22.79&#x2013;341.8 &#xb5;g/kg in the muscle, 22.83&#x2013;2,087.296 &#xb5;g/kg in the liver, and 15.33&#x2013;484.2 &#xb5;g/kg in the skin. The assessment of CIP in chicken samples showed that 96.43% of raw liver contained the highest CIP residues, followed by raw skin (85.71%) and muscle (32.14%). Among the positive CIP samples in the raw stage, 14.3% liver, 17.9% skin, and 3.6% muscle exceeded the MRLs. In the frozen stage, no significant change of the CIP residues was found in the muscle and the liver, except for the skin where the CIP residues were reduced moderately after boiling in the liver (7.1%) and the skin (3.6%). Although the CIP residue in muscle was decreased significantly after boiling, it remained above the MRL. <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> shows the comparison between below and above MRL of the number of positive CIP, TC, and OTC residues.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Frequency of ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC) residues in a number of chicken meat, liver, and skin samples.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frabi-03-1364946-g003.tif"/>
</fig>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Analytical results of the ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC) residues in raw, frozen, and boiled chicken samples.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">
</th>
<th valign="top" align="center">Sample</th>
<th valign="top" align="center">Sample size</th>
<th valign="top" align="center">Positive samples (%)</th>
<th valign="top" align="center">Min (&#xb5;g/kg)</th>
<th valign="top" align="center">Max (&#xb5;g/kg)</th>
<th valign="top" align="center">Mean conc. (&#xb5;g/kg)</th>
<th valign="top" align="center">MRL (&#xb5;g/kg)</th>
<th valign="top" align="center">Below MRL (%)</th>
<th valign="top" align="center">Above MRL (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="9" align="center">CIP</td>
<td valign="top" rowspan="3" align="left">Muscle</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">32.14</td>
<td valign="top" align="center">28.52</td>
<td valign="top" align="center">341.8</td>
<td valign="top" align="center">74.49b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">28.57</td>
<td valign="top" align="center">3.6</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">32.14</td>
<td valign="top" align="center">22.92</td>
<td valign="top" align="center">339.2</td>
<td valign="top" align="center">67.59b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">28.57</td>
<td valign="top" align="center">3.6</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">28.57</td>
<td valign="top" align="center">22.79</td>
<td valign="top" align="center">107.7</td>
<td valign="top" align="center">50.72a</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">25.00</td>
<td valign="top" align="center">3.6</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Liver</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">96.43</td>
<td valign="top" align="center">28.32</td>
<td valign="top" align="center">2,087.3</td>
<td valign="top" align="center">184.6b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">82.11</td>
<td valign="top" align="center">14.3</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">96.43</td>
<td valign="top" align="center">28.19</td>
<td valign="top" align="center">1,951.4</td>
<td valign="top" align="center">163.6ab</td>
<td valign="top" align="center"/>
<td valign="top" align="center">82.11</td>
<td valign="top" align="center">14.3</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">89.29</td>
<td valign="top" align="center">22.83</td>
<td valign="top" align="center">982.3</td>
<td valign="top" align="center">140.4a</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">82.11</td>
<td valign="top" align="center">7.1</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Skin</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">85.71</td>
<td valign="top" align="center">25.25</td>
<td valign="top" align="center">484.2</td>
<td valign="top" align="center">79.75c</td>
<td valign="top" align="center"/>
<td valign="top" align="center">67.83</td>
<td valign="top" align="center">17.9</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">78.57</td>
<td valign="top" align="center">15.33</td>
<td valign="top" align="center">253.2</td>
<td valign="top" align="center">68.47b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">64.28</td>
<td valign="top" align="center">14.3</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">67.86</td>
<td valign="top" align="center">15.76</td>
<td valign="top" align="center">117.1</td>
<td valign="top" align="center">49.15a</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">64.28</td>
<td valign="top" align="center">3.6</td>
</tr>
<tr>
<td valign="top" rowspan="9" align="center">TC</td>
<td valign="top" rowspan="3" align="left">Muscle</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">14.3</td>
<td valign="top" align="center">58.3</td>
<td valign="top" align="center">353.1</td>
<td valign="top" align="center">180.0a</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7.1</td>
<td valign="top" align="center">7.1</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">10.71</td>
<td valign="top" align="center">12.5</td>
<td valign="top" align="center">341.5</td>
<td valign="top" align="center">171.4a</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">7.1</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Liver</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">71.4</td>
<td valign="top" align="center">64.1</td>
<td valign="top" align="center">504.1</td>
<td valign="top" align="center">172.2c</td>
<td valign="top" align="center"/>
<td valign="top" align="center">71.4</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">64.28</td>
<td valign="top" align="center">16.9</td>
<td valign="top" align="center">463.0</td>
<td valign="top" align="center">134.2b</td>
<td valign="top" align="center">600</td>
<td valign="top" align="center">64.28</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">28.57</td>
<td valign="top" align="center">37.5</td>
<td valign="top" align="center">126.0</td>
<td valign="top" align="center">34.3a</td>
<td valign="top" align="center"/>
<td valign="top" align="center">28.57</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Skin</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">17.9</td>
<td valign="top" align="center">34.3</td>
<td valign="top" align="center">249.8</td>
<td valign="top" align="center">98.1b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">17.9</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">10.71</td>
<td valign="top" align="center">15.4</td>
<td valign="top" align="center">105.2</td>
<td valign="top" align="center">35.6a</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">10.71</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="9" align="left">OTC</td>
<td valign="top" rowspan="3" align="left">Muscle</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">7.1</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">52b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">7.1</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">17.1</td>
<td valign="top" align="center">40.8</td>
<td valign="top" align="center">28.9a</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Liver</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">21.4</td>
<td valign="top" align="center">69.4</td>
<td valign="top" align="center">109.5</td>
<td valign="top" align="center">81.97b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">21.4</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">14.3</td>
<td valign="top" align="center">20.4</td>
<td valign="top" align="center">54.1</td>
<td valign="top" align="center">33.9a</td>
<td valign="top" align="center">600</td>
<td valign="top" align="center">14.3</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Skin</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">49.4</td>
<td valign="top" align="center">49.4</td>
<td valign="top" align="center">49.4b</td>
<td valign="top" align="center"/>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">30a</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values in the same column with lowercase letters are significantly different (p &lt; 0.05) for the different stages of the sample.</p>
</fn>
<fn>
<p>MRL, maximum residual limit.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Comparison between below and above MRL of the number of positive antibiotic residues. <italic>CIPMR</italic>, ciprofloxacin-muscle-raw; <italic>CIPMF</italic>, ciprofloxacin-muscle-frozen; <italic>CIPMB</italic>, ciprofloxacin-muscle-boiled; <italic>CIPLR</italic>, ciprofloxacin-liver-raw; <italic>CIPLF</italic>, ciprofloxacin-liver-frozen; <italic>CIPLB</italic>, ciprofloxacin-liver-boiled; <italic>CIPSR</italic>, ciprofloxacin-skin-raw; <italic>CIPSF</italic>, ciprofloxacin-skin-frozen; <italic>CIPSB</italic>, ciprofloxacin-skin-boiled; <italic>TCMR</italic>, tetracycline-muscle-raw; <italic>TCMF</italic>, tetracycline-muscle-frozen; <italic>TCMB</italic>, tetracycline-muscle-boiled; <italic>TCLR</italic>, tetracycline-liver-raw; <italic>TCLF</italic>, tetracycline-liver-frozen; <italic>TCLB</italic>, tetracycline-liver-boiled; <italic>TCSR</italic>, tetracycline-skin-raw; <italic>TCSF</italic>, tetracycline-skin-frozen; <italic>TCSB</italic>, tetracycline-skin-boiled; <italic>OTCMR</italic>, oxytetracycline-muscle-raw; <italic>OTCMF</italic>, oxytetracycline-muscle-frozen; <italic>OTCMB</italic>, oxytetracycline-muscle-boiled; <italic>OTCLR</italic>, oxytetracycline-liver-raw; <italic>OTCLF</italic>, oxytetracycline-liver-frozen; <italic>OTCLB</italic>, oxytetracycline-liver-boiled; <italic>OTCSR</italic>, oxytetracycline-skin-raw; <italic>OTCSF</italic>, oxytetracycline-skin-frozen; <italic>OTCSB</italic>, oxytetracycline-skin-boiled.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frabi-03-1364946-g004.tif"/>
</fig>
<p>
<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> presents the range of TC residues in the muscle, liver, and skin, which were 12.5&#x2013;371.5, 16.9&#x2013;504.9, and 15.4&#x2013;249.8 &#xb5;g/kg, respectively. The highest percentage of TC was observed in the liver (71.4%), followed by the skin (17.9%) and muscle (14.3%), in the raw condition. Among these, 7.1% of raw muscle contained TC residues above the MRL. In the frozen stage, the TC residues were reduced significantly in the liver and skin, except for the muscle sample (7.1%) showing above the MRL. After boiling, TC was remarkably reduced in the liver sample, without any residues detected in muscle and skin samples. Assessment of the OTC residues found 17.1&#x2013;65 &#xb5;g/kg in the muscle, 20.4&#x2013;109.5 &#xb5;g/kg in the liver, and 30&#x2013;49.4 &#xb5;g/kg in the skin. The highest percentage of OTC residues was found in raw liver, with a range of positive samples from 3.6% to 21.4%. It was noted that the values of all the OTC-positive samples were below the MRL. A significant reduction was found in OTC residues in the muscle, liver, and skin samples in the frozen stage, but no OTC residues were present in the samples after boiling.</p>
</sec>
<sec id="s3_3">
<title>Health risk assessment</title>
<p>Health risk assessment of these three antibiotics was calculated from the ratio of the EDI of the CIP, TC, and OTC residues obtained from chicken (meat and liver) to ADI, which is, as well as the hazard index (HI), is presented in <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>. The daily intake of chicken skin for a Bangladeshi individual and the ADI for antibiotics in the skin were unavailable. The HI investigated three antibiotic residues in broiler chicken at various stages, which was calculated by considering the maximum mean concentration of the CIP, TC, and OTC residues. <xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref> shows that the EDI range of CIP in chicken meat and liver was 0.0311&#x2013;0.1044 &#xb5;g/kg bw per day, while the corresponding HI values ranged from 0.0156 to 0.0522. For TC, the EDI range was 0.0063&#x2013;0.1020 &#xb5;g/kg bw per day, while the HI ranged from 0.0 to 0.0034. The EDI and HI values for OTC ranged 0.0&#x2013;0.0188 &#xb5;g/kg bw per day and 0.0&#x2013;0.0006, respectively. The highest EDI of CIP was found in the raw liver chicken sample, whereas the EDI value was found to be 0.00 &#xb5;g/kg bw per day in boiled muscle for TC and in both boiled muscle and liver for OTC. These findings indicated that the EDI value calculated based on a dietary consumption containing the maximum mean concentrations of CIP, TC, and OTC was considerably lower than the ADI values of the antibiotic residues. The present experimental results showed that all HI values were below 0.0522.</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Health risks associated with ciprofloxacin (CIP), tetracycline (TC), and oxytetracycline (OTC) residues in edible parts of chicken at three different stages.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Antibiotic</th>
<th valign="top" align="left">Sample</th>
<th valign="top" align="left">Stage</th>
<th valign="top" align="center">EDI (&#xb5;g/kg <break/>bw per day)</th>
<th valign="top" align="center">ADI (&#xb5;g/kg <break/>bw per day)</th>
<th valign="top" align="center">HI (EDI/ADI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="9" align="left">CIP</td>
<td valign="top" rowspan="3" align="left">Muscle</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">0.0987</td>
<td valign="top" rowspan="3" align="center">2</td>
<td valign="top" align="left">0.0493</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">0.0980</td>
<td valign="top" align="left">0.0490</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">0.0311</td>
<td valign="top" align="left">0.0156</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Liver</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">0.1044</td>
<td valign="top" rowspan="3" align="center">2</td>
<td valign="top" align="left">0.0522</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">0.0976</td>
<td valign="top" align="left">0.0488</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">0.0491</td>
<td valign="top" align="left">0.0246</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Skin</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">ND</td>
<td valign="top" rowspan="3" align="center">NA</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">ND</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">ND</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" rowspan="9" align="left">TC</td>
<td valign="top" rowspan="3" align="left">Muscle</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">0.1020</td>
<td valign="top" rowspan="3" align="center">30</td>
<td valign="top" align="left">0.0034</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">0.0986</td>
<td valign="top" align="left">0.0033</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">0.0</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Liver</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">0.0252</td>
<td valign="top" rowspan="3" align="center">30</td>
<td valign="top" align="left">0.0008</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">0.0232</td>
<td valign="top" align="left">0.0008</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">0.0063</td>
<td valign="top" align="left">0.0002</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Skin</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">ND</td>
<td valign="top" rowspan="3" align="center">NA</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">ND</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">ND</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" rowspan="9" align="left">OTC</td>
<td valign="top" rowspan="3" align="left">Muscle</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">0.0188</td>
<td valign="top" rowspan="3" align="center">30</td>
<td valign="top" align="left">0.0006</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">0.0118</td>
<td valign="top" align="left">0.0004</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">0.0</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Liver</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">0.0055</td>
<td valign="top" rowspan="3" align="center">30</td>
<td valign="top" align="left">0.0002</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">0.0027</td>
<td valign="top" align="left">0.0001</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">0.0</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Skin</td>
<td valign="top" align="left">Raw</td>
<td valign="top" align="left">ND</td>
<td valign="top" rowspan="3" align="center">NA</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" align="left">Frozen</td>
<td valign="top" align="left">ND</td>
<td valign="top" align="left">ND</td>
</tr>
<tr>
<td valign="top" align="left">Boiled</td>
<td valign="top" align="left">ND</td>
<td valign="top" align="left">ND</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>EDI, estimated daily intake; ADI, average daily intake; HI, hazard index; bw, body weight; ND, not detected; NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The present study used SPE in sample preparation, and this required conditioning in order to moisten the sorbent and permit the liquid to penetrate the pores before the sample is introduced (<xref ref-type="bibr" rid="B41">Lu et&#xa0;al., 2019</xref>). In our approach, the wavelength used for CIP was consistent with <xref ref-type="bibr" rid="B80">Yorke and Froc (2000)</xref>. For TC and OTC, a silica-based C<sub>18</sub> analytical column, UV detection at 355 nm, flow rate of 1.0 ml/min, SPE C<sub>18</sub> cartridges, and a 0.22-&#x3bc;m syringe filter were used following <xref ref-type="bibr" rid="B23">De Ruyck et&#xa0;al. (1999)</xref>, <xref ref-type="bibr" rid="B46">Miranda et&#xa0;al. (2009)</xref>; <xref ref-type="bibr" rid="B71">Shalaby et&#xa0;al. (2011)</xref>, and <xref ref-type="bibr" rid="B83">Zhao et&#xa0;al. (2010)</xref>. <xref ref-type="bibr" rid="B18">Christodoulou et&#xa0;al., (2007)</xref> found 53.5%&#x2013;83.7% CIP recovery in egg yolk using different extraction solvents. A higher recovery of CIP was obtained in chicken muscle and liver by changing the matrix, extraction solvent, and their ratio (<xref ref-type="bibr" rid="B61">Posyniak et&#xa0;al., 2001</xref>). The recovery of OTC reported by <xref ref-type="bibr" rid="B53">Olatoye and Kayode (2012)</xref> was 80.5%&#x2013;87.8%, which was somewhat lower, while <xref ref-type="bibr" rid="B31">Guo et&#xa0;al. (2012)</xref> reported 80.9%&#x2013;119.5% recovery for both TC and OTC, which was higher than our findings. Strong acids and precipitating agents are recommended for deproteinization to improve the extraction of antibiotics from complex matrices as TCs readily bind to proteins (<xref ref-type="bibr" rid="B60">P&#xe9;rez-Rodr&#xed;guez et&#xa0;al., 2018</xref>). Our recovery values for the edible parts of chicken were comparable to those obtained by <xref ref-type="bibr" rid="B14">Blasco et&#xa0;al. (2009)</xref>; <xref ref-type="bibr" rid="B81">Yu et&#xa0;al. (2011)</xref>, and <xref ref-type="bibr" rid="B44">Masawat and Slater (2007)</xref>. The LOD and LOQ values for TC and OTC were comparable to those obtained by <xref ref-type="bibr" rid="B21">Cornejo et&#xa0;al. (2017)</xref>, <xref ref-type="bibr" rid="B55">Ozdemir Olgun and Demirata (2020)</xref>, and <xref ref-type="bibr" rid="B71">Shalaby et&#xa0;al. (2011)</xref>, but were higher than that in the study by <xref ref-type="bibr" rid="B31">Guo et&#xa0;al. (2012)</xref>. According to <xref ref-type="bibr" rid="B69">Schneider et&#xa0;al. (2005)</xref>, the LOD and LOQ of CIP were 1 and 5 &#xb5;g/kg, respectively, which were smaller than those in our study. The findings for the precision values had similarities to others. <xref ref-type="bibr" rid="B72">Shalaby (1996)</xref> revealed a higher recovery in chicken muscle (98.4%&#x2013;100.3%) and egg yolk (99.3%&#x2013;101.6%) and lower RSD values (1.9%&#x2013;3.1%) in chicken muscle and egg yolk (0.4%&#x2013;2.5%) for intra-day precision. <xref ref-type="bibr" rid="B70">Schneider et&#xa0;al. (2007)</xref> reported below 4% RSD and 75%&#x2013;90% recovery from muscle tissue in his findings. Another study stated that the recovery of intra-day precision for CIP in milk sample was 85.4%&#x2013;89.1% and that the RSD was below 6% (<xref ref-type="bibr" rid="B18">Christodoulou et&#xa0;al., 2007</xref>). <xref ref-type="bibr" rid="B80">Yorke and Froc (2000)</xref> disclosed a 67% recovery and an 8.4% RSD as inter-day precision in chicken muscle, whereas <xref ref-type="bibr" rid="B20">Cinquina et&#xa0;al. (2003b)</xref> obtained 4.1% RSD. <xref ref-type="bibr" rid="B81">Yu et&#xa0;al. (2011)</xref> reported within- and between-day precision values for chicken samples of 6.2%&#x2013;8.2%, 5.9%&#x2013;8.1%, and 8.1%&#x2013;9.8%, and 8.7%&#x2013;8.8% for both TC and OTC, respectively. <xref ref-type="bibr" rid="B14">Blasco et&#xa0;al. (2009)</xref> reported higher RSD values for intra-day (i.e., 14.3% and 11.2%) and inter-day precision (16.5% and 15.6%) for TC and OTC in chicken samples. <xref ref-type="bibr" rid="B48">Moudgil et&#xa0;al. (2019b)</xref> carried out a study on accuracy and precision for TC and OTC. He reported that the recovery of accuracy was in the range 90.2%&#x2013;108.1% for TC and was 99.2%&#x2013;105.6% for OTC. The RSDs of the intra- and inter-assay precision for TC were 4.7% and 6.7&#x2013;9.2%, while those for OTC were 6.2% and 9.6&#x2013;16.2%, respectively.</p>
<p>Numerous investigations have been conducted to identify the presence of antibiotic residues in animal products in Asia, such as in Vietnam and China (<xref ref-type="bibr" rid="B10">Baghani et&#xa0;al., 2019</xref>), and the prevalence of antibiotic residues in chicken meat has been reported (<xref ref-type="bibr" rid="B74">Vandenberge et al., 2012</xref>; <xref ref-type="bibr" rid="B68">Sarker et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B29">Gompo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B42">Maharjan et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B62">Rahman et&#xa0;al., 2021</xref>). In this study, an alarming number of samples were found to be positive for CIP (quinolone group), with 14.3% liver, 17.9% skin, and 3.6% muscle being above the MRLs in the raw stage, hence a potential health risk for consumption. The presence of CIP residues in the samples indicated that farmers in poultry production used this antibiotic as a therapeutic agent, which might have been excessively used or misused (<xref ref-type="bibr" rid="B78">Widiastuti et&#xa0;al., 2022</xref>). In developing countries, antibiotics are available as livestock medication without a prescription, and imported illegal products sometimes lack information about their use in the local language (<xref ref-type="bibr" rid="B79">Yamaguchi et&#xa0;al., 2015</xref>). In another study, <xref ref-type="bibr" rid="B59">Pereira et&#xa0;al. (2018)</xref> also mentioned that the detection of high frequencies of fluoroquinolone (including CIP) residues indicates the random use of these antibiotics due to the lack of proper monitoring by an authorized body. In the study of <xref ref-type="bibr" rid="B57">Panzenhagen et&#xa0;al. (2016)</xref>, enrofloxacin (fluoroquinolone group) was found positive by HPLC in the muscles (23%), livers (17%), and kidneys (17%) from chickens. The mean concentrations of CIP found by <xref ref-type="bibr" rid="B32">Hasanen et&#xa0;al. (2016)</xref> in chicken thigh, breast, liver, and kidney were 92.11, 131.7, 211.1, and 316 &#xb5;g/kg, while those in turkey thigh, breast, liver, and kidney were 83.2, 119.2, 205.7, and 291.9 &#xb5;g/kg, respectively, which were higher than our findings. The results showed that approximately 10.71% muscle, 12.66% liver, and 15.38% skin samples exceeded the MRL (EU) among the positive samples of CIP, which were markedly high. In Malaysia, <xref ref-type="bibr" rid="B43">Marni et&#xa0;al. (2011)</xref> found that 10 out of 37 samples were contained ciprofloxacin (3.42&#x2013;238.11 ng/g) and enrofloxacin in 33 samples (3.51&#x2013;1,734.61 ng/g). Moreover, 45.7% of samples in a study in Turkey (<xref ref-type="bibr" rid="B37">Kaynak Onurd&#x103; Er. et&#xa0;al., 2013</xref>) and 59.2% of chicken meat samples in another study in Iran (<xref ref-type="bibr" rid="B45">Mashak et&#xa0;al., 2017</xref>) were found to be quinolone-positive. In Pakistan, <xref ref-type="bibr" rid="B9">Aslam et&#xa0;al. (2016)</xref> found that 58.3% (21) of meat samples had enrofloxacin residues above the MRL (100 ng/g). The findings of chicken samples containing CIP residues above the MRL of 100 ng/g in developing countries revealed the indiscriminate use of antibiotics, which is different from the picture in developed countries such as Spain, the UK, Portugal (<xref ref-type="bibr" rid="B59">Pereira et&#xa0;al., 2018</xref>), and Korea (<xref ref-type="bibr" rid="B40">Lee et&#xa0;al., 2018</xref>), where no samples exceeded the MRL of antibiotic residues. To reiterate, the differences in the results between the present study and other studies may be due to the multiple methods of administration of antibiotics in chicken, such as with feed and drinking water, intramuscularly, or intravenously (<xref ref-type="bibr" rid="B2">Abdullah et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B63">Ramatla et&#xa0;al., 2017</xref>). Furthermore, the detection rate of antibiotics may depend on the length of their use in chickens, slaughter, and sampling (<xref ref-type="bibr" rid="B79">Yamaguchi et&#xa0;al., 2015</xref>). Little change was found in the concentration of CIP in the positive samples after freezing, whereas a significant difference was observed in the study of <xref ref-type="bibr" rid="B51">O Aboul El-Nile (2006)</xref>, who stated that temperatures below &#x2212;18&#xb0;C can have a positive effect on the reduction of CIP residues. In this study, in the boiling stage, the mean concentration of CIP was reduced from 74.49 to 50.72 &#xb5;g/kg in the muscle, from 184.6 to 140.4 &#xb5;g/kg in the liver, and from 79.75 to 49.15 &#xb5;g/kg in the skin. In contrast, <xref ref-type="bibr" rid="B32">Hasanen et&#xa0;al. (2016)</xref> found that the CIP concentrations in both chicken and turkey did not change after boiling, grilling, and roasting, whereas these were notably reduced after microwave treatment and freezing for 1 month at &#x2212;20&#xb0;C. In support of this, <xref ref-type="bibr" rid="B15">Botsoglou and Fletouris (2001)</xref> also found that CIP has a high heat stability and is not easily destroyed at cooking temperature. In this study, the TC-positive samples in the raw stage were from 7.1% to 71.4%, with 7.1% of these found to be above the MRL; the OTC-positive samples were 3.6%&#x2013;21.4%, but no sample was above the MRL. <xref ref-type="bibr" rid="B11">Bahmani et&#xa0;al. (2020)</xref> reported that TC residues were present in 54.3&#x2013;389.1 &#xb5;g/kg of the chicken samples, which was comparable to our data (40&#x2013;353.1 &#xb5;g/kg). According to <xref ref-type="bibr" rid="B46">Miranda et&#xa0;al. (2009)</xref>, the TC and OTC residues in poultry meat ranged from 197 to 2,564 &#xb5;g/kg and from 651 to 1,003 &#xb5;g/kg, respectively, which were higher than our findings. In a study in Nepal, TCs and other antibiotics exceeded the MRLs in 6 out of 66 samples (<xref ref-type="bibr" rid="B64">Raut et&#xa0;al., 2017</xref>). This could be explained by marketing representatives promoting the use of these medications with easy affordability to poultry farmers, who then administered them without the assistance of trained veterinary officers and with lack of compliance to the specified withdrawal periods (<xref ref-type="bibr" rid="B52">Odundo et&#xa0;al., 2023</xref>). TCs can induce the overproduction of <italic>Pseudomonas</italic> and <italic>Clostridium</italic>, which change the normal intestinal flora (<xref ref-type="bibr" rid="B33">Hassan et&#xa0;al., 2020</xref>) and cause diarrhea, nausea, and even death. TCs consumed during pregnancy could remain in the structure of newly formed teeth (<xref ref-type="bibr" rid="B49">Muhammad et&#xa0;al., 2019</xref>). In Southern Italy, low-frequency OTC levels were reported in the muscle (3%) and liver (7%), showing a similar trend to that of the present study (<xref ref-type="bibr" rid="B16">Cammilleri et&#xa0;al., 2019</xref>). In poultry farming, OTC is used for the prevention of mouth infections and pneumonia, which can vary with the change of season depending on humidity (<xref ref-type="bibr" rid="B1">Aalipour et&#xa0;al., 2013</xref>). In addition, weather and seasonal variations are important factors that change the rate of a drug&#x2019;s metabolism in chicken (<xref ref-type="bibr" rid="B17">Cerveny et&#xa0;al., 2021</xref>). <xref ref-type="bibr" rid="B5">Al-Ghamdi et&#xa0;al. (2000)</xref> found that the TC and OTC levels in beef and liver were lowered after boiling, and according to the observation of <xref ref-type="bibr" rid="B30">Gratac&#xf3;s-Cubars&#xed; et&#xa0;al. (2007)</xref>, boiling and microwave cooking lower the initial quantities of TC and OTC residues by 56% to 82%, respectively. Similarly, <xref ref-type="bibr" rid="B3">Abou-Raya et al. (2013)</xref> observed that the residual concentrations of TC and OTC were reduced by 25.8%&#x2013;28.0% and 45.35%&#x2013;67.05%, respectively, after boiling. All these have similarities to our findings.</p>
<p>The percent EDI-to-ADI ratio in 60-kg adults is used to measure the human health risk, whereas ADI is a standard criterion for assessing the safety of chemical contaminants in edible animal tissues. The present data for health risk assessment showed that the HI values for CIP, TC, and OTC from all chicken samples in the three stages were below 1, indicating low-risk exposure for human health. <xref ref-type="bibr" rid="B54">Oyedeji et&#xa0;al. (2019)</xref> analyzed the antibiotic residues from imported turkey-chicken products in Nigeria and found that the concentrations of 19 antibiotic residues were within the permissible limits. The HI for CIP in all the samples analyzed was less than 1 (HI &lt; 1), indicating no risk for an adult population in Indonesia (<xref ref-type="bibr" rid="B78">Widiastuti et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B58">Pena et&#xa0;al. (2010)</xref> in Portugal and <xref ref-type="bibr" rid="B59">Pereira et&#xa0;al. (2018)</xref> revealed that the EDIs for enrofloxacin in chickens were 0.029 and 0.46 ng/kg body weight per day, respectively. The estimated daily exposure dose was found below 1 &#xb5;g/kg bw per day with the presence of TCs, quinolones (QNLs), and sulfonamide antibiotics (SAs) in poultry meat in Shanghai (<xref ref-type="bibr" rid="B77">Wang et&#xa0;al., 2017</xref>). From 2012 to 2017, <xref ref-type="bibr" rid="B38">Kyriakides et&#xa0;al. (2020)</xref> studied antibiotic exposure from the consumption of pork meat in children and adolescents and found a low HI (below 0.056). These trends were also observed in our results. However, <xref ref-type="bibr" rid="B76">Vragovi&#xb4;c et&#xa0;al. (2011)</xref> obtained significantly higher EDIs for streptomycin than for TCs in meat samples. Antibiotic exposure, even in low doses, develops antibiotic-resistant microorganisms, which could have long-term consequences on human health (<xref ref-type="bibr" rid="B36">Karbiwnyk et al., 2007</xref>; <xref ref-type="bibr" rid="B28">Gomes and Kuyucu, 2017</xref>; <xref ref-type="bibr" rid="B39">Kyuchukova, 2020</xref>). Dietary exposure to antibiotic residues could cause therapeutic failure, particularly in children (<xref ref-type="bibr" rid="B34">Jahantigh and Dizaji, 2015</xref>). Individuals who inadvertently consume antibiotic residues through edible chicken parts could suffer from allergies, from mutagenic, teratogenic, and anaphylactic shocks, and digestive disorders (<xref ref-type="bibr" rid="B50">Mund et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B35">Jammoul and El Darra, 2019</xref>). <xref ref-type="bibr" rid="B8">Ars&#xe8;ne et&#xa0;al. (2022)</xref> also reported adverse health effects such as reproductive disorders, mutagenicity, alteration of the gut flora, and carcinogenicity, which can be caused by exposure to antibiotic-containing food. Cross-resistance could be produced in a new group of microorganisms from the antibiotic-resistant group due to structural alterations in the enzyme from the mutated gene (<xref ref-type="bibr" rid="B73">Sk&#xf6;ld, 2001</xref>; <xref ref-type="bibr" rid="B12">Baran et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B24">Dimitrios et al., 2018</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>This study demonstrated two methods for the determination and validation of CIP, TC, and OTC. These methods were efficient in determining the CIP, TC, and OTC from different parts of poultry samples, which were confirmed by recovery studies. A great number of samples were found to be positive with antibiotics. The overall concentration of each antibiotic detected in broiler chicken was higher in raw samples than those in frozen and boiled samples. A few samples contained antibiotics in concentrations higher than their MRLs even after heat treatment, indicating a hazardous situation for human health. The results from the health risk assessment showed that low exposure to antibiotic residues may be a possible human health concern. In countries such as Bangladesh, where most of the poor and middle-class people are somehow dependent on broiler chicken as a cheaper source of protein and which has become a part of their consumption, it is important for authorities to pay attention to the use of veterinary drugs and to take necessary steps to avoid antibiotic resistance.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The animal studies were approved by Ethical Review Committee (ERC), Mawlana Bhashani Science and Technology University, Tangail, Bangladesh. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent was obtained from the owners for the participation of their animals in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SH: Data curation, Formal analysis, Investigation, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MJ: Data curation, Formal analysis, Investigation, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MK: Formal analysis, Investigation, Methodology, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MR: Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. ME: Data curation, Software, Writing &#x2013; review &amp; editing. MA: Data curation, Resources, Software, Writing &#x2013; review &amp; editing. MZ: Project administration, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MS: Data curation, Resources, Software, Writing &#x2013; review &amp; editing. LB: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was financially supported the Ministry of Science and Technology, Peoples&#x2019; Republic of Bangladesh through grant number 39.00.0000.009.06.009.20-1331-282 BS.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors are thankful to the laboratory assistant and chicken suppliers.</p>
</ack>
<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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>EDI, Estimated daily intake; ADI, Average daily intake; HI, Hazard index; LOD, Limit of detection; LOQ, Limit of quantification; MRL, Maximum residue limit; CIP, Ciprofloxacin; TC, Tetracycline; OTC, Oxytetracycline; bw, Body weight; SPE, Solid phase extraction.</p>
</fn>
</fn-group>
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