Yunpeng Shang, Anqi Hu, Chaoqun Ma, Jiao Gu, Yamin Wu, Chun Zhu, Lei Li, Hui Gao, Taiqun Yang, Guoqing Chen
{"title":"Sulfadiazine Detection in Milk Using F−-modified Ag-TpBD-COF as SERS Substrate","authors":"Yunpeng Shang, Anqi Hu, Chaoqun Ma, Jiao Gu, Yamin Wu, Chun Zhu, Lei Li, Hui Gao, Taiqun Yang, Guoqing Chen","doi":"10.1007/s12161-025-02860-5","DOIUrl":null,"url":null,"abstract":"<div><p>Sulfadiazine, an antibiotic belonging to the sulfonamide class, is commonly utilized in aquaculture and animal farming because of its affordability. However, the misuse of this antibiotic can lead to harmful health effects in humans, necessitating effective methods for detecting its residues in food products. Despite advancements in residue detection, challenges remain, particularly in dealing with interference from complex food matrices like milk. In this research, we synthesized F-modified Ag-TpBD-COF materials to serve as substrates for surface-enhanced Raman spectroscopy (SERS), aiming to detect sulfadiazine residues in milk. The Covalent organic frameworks (COF) materials, serving as ligands, effectively minimized interference, enhancing the method’s accuracy. The method demonstrated excellent sensitivity with a linear detection range of 1–50 μg/L and a limit of detection (LOD) was 0.69 μg/L. These findings highlight the potential of the novel Ag-TpBD-COF SERS substrate for high-sensitivity and reliable food safety monitoring.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 10","pages":"2165 - 2174"},"PeriodicalIF":3.0000,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Analytical Methods","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s12161-025-02860-5","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Sulfadiazine, an antibiotic belonging to the sulfonamide class, is commonly utilized in aquaculture and animal farming because of its affordability. However, the misuse of this antibiotic can lead to harmful health effects in humans, necessitating effective methods for detecting its residues in food products. Despite advancements in residue detection, challenges remain, particularly in dealing with interference from complex food matrices like milk. In this research, we synthesized F-modified Ag-TpBD-COF materials to serve as substrates for surface-enhanced Raman spectroscopy (SERS), aiming to detect sulfadiazine residues in milk. The Covalent organic frameworks (COF) materials, serving as ligands, effectively minimized interference, enhancing the method’s accuracy. The method demonstrated excellent sensitivity with a linear detection range of 1–50 μg/L and a limit of detection (LOD) was 0.69 μg/L. These findings highlight the potential of the novel Ag-TpBD-COF SERS substrate for high-sensitivity and reliable food safety monitoring.
期刊介绍:
Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.