{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T23:22:28Z","timestamp":1788304948368,"version":"build-2803163510"},"reference-count":50,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,3,17]],"date-time":"2022-03-17T00:00:00Z","timestamp":1647475200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The 13th Five-Year National Key Research and development plan food safety technology research and development major project","award":["2019YFC1605705"],"award-info":[{"award-number":["2019YFC1605705"]}]},{"name":"The Program for Innovative Research Team (in Science and Technology) at the University of Henan Province","award":["20IRTSTHN025"],"award-info":[{"award-number":["20IRTSTHN025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Toxins"],"abstract":"<jats:p>Zearalenone (ZEN) contamination in food and feed is prevalent and has severe effects on humans and animals post-consumption. Therefore, a sensitive, specific, rapid, and reliable method for detecting a single residue of ZEN is necessary. This study aimed to establish a highly sensitive and specific ZEN monoclonal antibody (mAb) and an indirect competitive enzyme-linked immunosorbent assay (icELISA) for the detection of ZEN residues in food and feed. The immunogen ZEN-BSA was synthesized via the amino glutaraldehyde (AGA) and amino diazotization (AD) methods and identified using 1H nuclear magnetic resonance (1H NMR), a high-resolution mass spectrometer (HRMS), and an ultraviolet spectrometer (UV). The coating antigens ZEN-OVA were synthesized via the oxime active ester (OAE), formaldehyde (FA), 1,4-butanediol diglycidyl ether (BDE), AGA, and AD methods. These methods were used to screen the best antibody\/antigen combination of a heterologous icELISA. Balb\/c mice were immunized with a low ZEN-BSA dose at long intervals and multiple sites. Suitable cell fusion mice and positive hybridoma cell lines were screened using a homologous indirect non-competitive ELISA (inELISA) and an icELISA. The ZEN mAbs were prepared by inducing ascites in vivo. The immunological characteristics of ZEN mAbs were then assessed. The standard curves of the icELISA for ZEN were constructed under optimal experimental conditions, and the performance of the icELISA was validated. The two ZEN-BSA immunogens (conjugation ratios, 11.6:1 (AGA) and 9.2:1 (AD)) were successfully synthesized. Four hybridoma cell lines (2B6, 4D9, 1A10, and 4G8) were filtered, of which 2B6 had the best sensitivity and specificity. The mAb 2B6-based icELISA was then developed. The limit of detection (LOD), the 50% inhibitive concentration (IC50), and the linear working range (IC20 to IC80) values of the icELISA were 0.76 \u03bcg\/L, 8.69 \u03bcg\/L, and 0.92\u201382.24 \u03bcg\/L, respectively. The cross-reactivity (CR) of the icELISA with the other five analogs of ZEN was below 5%. Three samples were spiked with different concentrations of ZEN and detected using the icELISA. The average intra-assay recoveries, inter-assay recoveries, intra-assay coefficients of variations (CVs), and inter-assay CVs were 93.48\u201399.48%, 94.18\u201396.13%, 12.55\u201312.98%, and 12.53\u201313.58%, respectively. The icELISA was used to detect ZEN in various samples. The results were confirmed using high-performance liquid chromatography\/tandem mass spectrometry (HPLC-MS\/MS) (correlation coefficient, 0.984). The proposed icELISA was highly sensitive, specific, rapid, and reliable for the detection of ZEN in food and feed samples.<\/jats:p>","DOI":"10.3390\/toxins14030220","type":"journal-article","created":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T21:37:17Z","timestamp":1647812237000},"page":"220","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Development of a Highly Sensitive and Specific Monoclonal Antibody Based on Indirect Competitive Enzyme-Linked Immunosorbent Assay for the Determination of Zearalenone in Food and Feed Samples"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9537-2947","authenticated-orcid":false,"given":"Yanan","family":"Wang","sequence":"first","affiliation":[{"name":"Henan Institute of Science and Technology, College of Animal Science and Veterinary Medicine, Xinxiang 453003, China"},{"name":"Faculty of Veterinary Medicine, Sumy National Agrarian University, 40021 Sumy, Ukraine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4092-3665","authenticated-orcid":false,"given":"Xiaofei","family":"Wang","sequence":"additional","affiliation":[{"name":"Xinxiang Institute of Engineering, College of Bioengineering Henan, Xinxiang 453003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuyun","family":"Wang","sequence":"additional","affiliation":[{"name":"Xinxiang Institute of Engineering, College of Bioengineering Henan, Xinxiang 453003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0761-3681","authenticated-orcid":false,"given":"Hanna","family":"Fotina","sequence":"additional","affiliation":[{"name":"Faculty of Veterinary Medicine, Sumy National Agrarian University, 40021 Sumy, Ukraine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziliang","family":"Wang","sequence":"additional","affiliation":[{"name":"Henan Institute of Science and Technology, College of Animal Science and Veterinary Medicine, Xinxiang 453003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2240","DOI":"10.1021\/acs.jafc.6b05614","article-title":"Fluorescence polarization immunoassay based on a new monoclonal antibody for the detection of the zearalenone class of mycotoxins in maize","volume":"65","author":"Zhang","year":"2017","journal-title":"J. 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