@article{WANG2022, 
author = {Qiang WANG and Hongzhen DU and Ge HAN and Qian CHEN and Baohua KONG},
title = {Advances in the Application of Molecularly Imprinted Polymer-Based Sensors for Meat Safety Detection},
year = {2022},
journal = {Food Science},
volume = {43},
number = {9},
pages = {346-353},
keywords = {molecularly imprinted polymer, sensor, detection technology, meat},
url = {https://www.sciopen.com/article/10.7506/spkx1002-6630-20210128-317},
doi = {10.7506/spkx1002-6630-20210128-317},
abstract = {The development and application of sensor detection technology based on molecularly imprinted polymers (MIP) have been a hot topic of research in recent years. Being characterized by convenience, high efficiency, high sensitivity, low cost and good repeatability, this detection technology holds great promise for a wide range of applications in the detection of endogenous harmful substances and prohibited additives in meat products. MIP having a specific adsorption effect, MIP-based sensors allow easy detection and quantification of the presence of endogenous harmful substances and prohibited additives in meat products. This review introduces readers to the mechanism of MIP and the principle and classification of MIP-based sensors, highlighting the current applications of MIP-based sensors to detect veterinary drug residues, banned drugs and biogenic amines in meat products, which may provide a reference for better application of MIP-based sensors in the field of meat safety detection.}
}