Peifang Chen , Imran Mahmood Khan , Mingwei Qin , Yu Li , Ali Raza , Shuo Qi , Zhouping Wang
{"title":"横向流动法敏感检测抗生素残留的研究进展:食品安全监测的智能工具","authors":"Peifang Chen , Imran Mahmood Khan , Mingwei Qin , Yu Li , Ali Raza , Shuo Qi , Zhouping Wang","doi":"10.1016/j.trac.2025.118462","DOIUrl":null,"url":null,"abstract":"<div><div>Antibiotics are widely used in livestock and aquaculture to promote growth and prevent disease. However, antibiotic residues in animal-derived food pose serious risks to human health and the global antibiotic resistance. Thus, there is an urgent need for point-of-care testing strategies to ensure food safety. This review provides a comprehensive overview of recent advancements in lateral flow assay (LFA) platforms for sensitive antibiotic detection. We critically assess the integration of biorecognition elements, advanced nanomaterials, innovative optical systems, and intelligent devices including smartphone-assisted platforms and artificial intelligence (AI)-enhanced analysis. Special focus is given to novel signal amplification strategies and multiplexing techniques that enable simultaneous detection of multiple antibiotics. Furthermore, we discuss current limitations and outline future directions. This review highlights the transformative potential of intelligent LFA tools in establishing digitalized, automated, and scalable solutions for end-to-end monitoring of antibiotics throughout the food supply chain.</div></div>","PeriodicalId":439,"journal":{"name":"Trends in Analytical Chemistry","volume":"193 ","pages":"Article 118462"},"PeriodicalIF":12.0000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advances in lateral flow assays for sensitive detection of antibiotic residues: An intelligent tool for food safety monitoring\",\"authors\":\"Peifang Chen , Imran Mahmood Khan , Mingwei Qin , Yu Li , Ali Raza , Shuo Qi , Zhouping Wang\",\"doi\":\"10.1016/j.trac.2025.118462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Antibiotics are widely used in livestock and aquaculture to promote growth and prevent disease. However, antibiotic residues in animal-derived food pose serious risks to human health and the global antibiotic resistance. Thus, there is an urgent need for point-of-care testing strategies to ensure food safety. This review provides a comprehensive overview of recent advancements in lateral flow assay (LFA) platforms for sensitive antibiotic detection. We critically assess the integration of biorecognition elements, advanced nanomaterials, innovative optical systems, and intelligent devices including smartphone-assisted platforms and artificial intelligence (AI)-enhanced analysis. Special focus is given to novel signal amplification strategies and multiplexing techniques that enable simultaneous detection of multiple antibiotics. Furthermore, we discuss current limitations and outline future directions. This review highlights the transformative potential of intelligent LFA tools in establishing digitalized, automated, and scalable solutions for end-to-end monitoring of antibiotics throughout the food supply chain.</div></div>\",\"PeriodicalId\":439,\"journal\":{\"name\":\"Trends in Analytical Chemistry\",\"volume\":\"193 \",\"pages\":\"Article 118462\"},\"PeriodicalIF\":12.0000,\"publicationDate\":\"2025-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Analytical Chemistry\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0165993625003309\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Analytical Chemistry","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165993625003309","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Advances in lateral flow assays for sensitive detection of antibiotic residues: An intelligent tool for food safety monitoring
Antibiotics are widely used in livestock and aquaculture to promote growth and prevent disease. However, antibiotic residues in animal-derived food pose serious risks to human health and the global antibiotic resistance. Thus, there is an urgent need for point-of-care testing strategies to ensure food safety. This review provides a comprehensive overview of recent advancements in lateral flow assay (LFA) platforms for sensitive antibiotic detection. We critically assess the integration of biorecognition elements, advanced nanomaterials, innovative optical systems, and intelligent devices including smartphone-assisted platforms and artificial intelligence (AI)-enhanced analysis. Special focus is given to novel signal amplification strategies and multiplexing techniques that enable simultaneous detection of multiple antibiotics. Furthermore, we discuss current limitations and outline future directions. This review highlights the transformative potential of intelligent LFA tools in establishing digitalized, automated, and scalable solutions for end-to-end monitoring of antibiotics throughout the food supply chain.
期刊介绍:
TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.