Affinity-Based Analysis Methods for the Detection of Aminoglycoside Antibiotic Residues in Animal-Derived Foods: A Review

Autor: Zhaozhou Li, Yanyan Liu, Xiujin Chen, Yao Wang, Huawei Niu, Fang Li, Hongli Gao, Huichun Yu, Yunxia Yuan, Yong Yin, Daomin Li
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Foods, Vol 12, Iss 8, p 1587 (2023)
Druh dokumentu: article
ISSN: 2304-8158
DOI: 10.3390/foods12081587
Popis: With the increasingly serious problem of aminoglycoside antibiotic residues, it is imperative to develop rapid, sensitive and efficient detection methods. This article reviews the detection methods of aminoglycoside antibiotics in animal-derived foods, including enzyme-linked immunosorbent assay, fluorescent immunoassay, chemical immunoassay, affinity sensing assay, lateral flow immunochromatography and molecular imprinted immunoassay. After evaluating the performance of these methods, the advantages and disadvantages were analyzed and compared. Furthermore, development prospects and research trends were proposed and summarized. This review can serve as a basis for further research and provide helpful references and new insights for the analysis of aminoglycoside residues. Accordingly, the in-depth investigation and analysis will certainly make great contributions to food safety, public hygiene and human health.
Databáze: Directory of Open Access Journals