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The core goals were to reduce the use of harmful chemicals,simplify operation steps,and improve detection accuracy and efficiency. [Method] Methanol was used as the extraction medium instead of traditional dichloromethane. By optimizing the pretreatment process （sample weighing,extraction,concentration and reconstitution）,combined with the Prognosis enzyme-linked immunosorbent assay （ELISA） kit for detection; the recovery rate,relative error and operation efficiency of the method were systematically evaluated by verifying spiked samples with different concentrations such as limit of quantification （LOQ）,2-fold LOQ and 5-fold LOQ. [Result] In the optimized method,the recovery rate of AFM₁ was stably between 70% and 120%,which met the requirements of GB/T 33411—2016 General Rules for Enzyme-Linked Immunosorbent Assay Kits; the relative error was controlled within ±25%,which complied with the standard of SN/T 2775—2023 Evaluation Method for Commercial Food Detection Kits.The pretreatment time was shortened from 70 min of the traditional method to 25 min,and the operation steps were simplified from 4 steps to 2 steps. [Conclusion] The optimized methanol extraction-ELISA detection method has good extraction effect,detection accuracy and efficiency,can meet the batch detection needs of dairy enterprises,and provides accurate and reliable technical support for the detection of AFM₁ content in cheese sticks., authors=PENG Xiang, LI Mei, LI Lifen, LIU Jie^*, LIU Chao^*, authorsList=PENG Xiang, LI Mei, LI Lifen, LIU Jie, LIU Chao, authorCompany=Mengniu Dairy（Tianjin） Co.,Ltd.,Tianjin 301739, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321413600703533587, articleId=1321413600170856978, tenantId=1146029695717560320, journalId=1296801528146919473, language=CN, title=奶酪棒中黄曲霉毒素M₁含量检测方法的研究与优化, columnId=1297134032135938673, journalTitle=中国乳业, columnName=质量安全, runingTitle=null, highlight=null, articleAbstract=[目的]针对奶酪棒成分复杂、传统检测方法操作繁琐且易引入有害化学品的问题,本研究旨在优化奶酪棒中黄曲霉毒素M₁（AFM₁）的检测方法,核心目标为减少有害化学品使用、简化操作步骤并提升检测准确性与效率。[方法]以甲醇作为提取介质替代传统二氯甲烷,通过优化前处理流程（样品称量、提取、浓缩复溶）,结合Prognosis酶联免疫试剂盒进行检测;通过验证定量限、2倍定量限、5倍定量限等不同浓度加标样品,系统评估方法的回收率、相对误差及操作效率。[结果]方法优化后,AFM₁回收率稳定在70%~120%,符合《GB/T 33411—2016 酶联免疫分析试剂盒通则》要求;相对误差控制在±25%以内,满足《SN/T 2775—2023 商品化食品检测试剂盒评价方法》标准;前处理时间从传统方法的70 min缩短至25 min,操作步骤从4 步简化为2 步。[结论]优化后的甲醇提取-酶联免疫检测方法,兼具良好的提取效果、检测准确性与高效性,能满足乳品企业批量检测需求,为奶酪棒中AFM₁含量检测提供精准可靠的技术支撑。, authors=彭翔, 李梅, 李利芬, 刘杰^*, 刘超^*, authorsList=彭翔, 李梅, 李利芬, 刘杰, 刘超, authorCompany=蒙牛乳制品（天津）有限责任公司,天津 301739, correspAuthors=^*刘 杰（1985-）,女,天津人,本科,工程师,研究方向为食品安全分析、乳品检验分析;刘 超（1985-）,女,天津人,本科,工程师,研究方向为乳品检验分析、乳品质量控制。, authorNote=彭 翔（1984-）,女,四川宜宾人,本科,工程师,研究方向为乳品检验分析、乳品质量控制;李 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