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MIP-based extraction techniques for the determination of antibiotic residues in edible meat samples: Design, performance & recent developments

分子印迹聚合物 抗生素 生化工程 萃取(化学) 检出限 复矩阵 最大残留限量 聚合物 生物技术 化学 色谱法 生物 选择性 农药残留 有机化学 工程类 杀虫剂 催化作用 生物化学 农学
作者
Kamran Banan,Dara Hatamabadi,Hanif Afsharara,Bahar Mostafiz,Hadise Sadeghi,Soheil Rashidi,Amirreza Dowlati Beirami,Mohammad-Ali Shahbazi,Rüstem Keçili,Chaudhery Mustansar Hussain,Fatemeh Ghorbani-Bidkorbeh
出处
期刊:Trends in Food Science and Technology [Elsevier]
卷期号:119: 164-178 被引量:8
标识
DOI:10.1016/j.tifs.2021.11.022
摘要

Misusing or overusing antibiotics in livestock and poultry can result in the accumulation of mentioned drugs in the animal meat. Consequently, its consumption by humans and therefore increasing the risks of antibiotic resistance emergences. In order to decrease these risks, constant monitoring of the meat samples is necessary. Therefore, the concentration of antibiotics needs to be lower than maximum residue limits. As meat is a complex matrix, sample preparation is a mandatory step in the analysis. Molecularly imprinted polymers are one of the extensively studied tools in this aspect. These polymers exhibited great affinity and selectivity towards the target compound/s. In this work, a collection of studies from 2017 to 2021 is reviewed. Inclusion criteria were formed around papers incorporating molecularly imprinted polymers as a means of extraction or detection of antibiotics in meat samples. This review represents different synthesis methods of these polymers and their applications in the extraction and determination of antibiotics from meat samples. It also demonstrates the advantages, gaps and weakness of these systems in the food chemistry field. It can also act as a guide for the design and development of novel polymer-based analytical methods for food applications. Throughout this review, the methods for determination of antibiotic residues in food samples using conventional and novel MIP based techniques are discussed, by coupling MIPs with other analytical techniques, Limit of detection and quantification and recovery rates will improve significantly, which results in designing of platforms in food chemistry analysis with higher efficacy.
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