A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy

Antibiotics, as veterinary drugs, have made extremely important contributions to disease prevention and treatment in the animal breeding industry. However, the accumulation of antibiotics in animal food due to their overuse during animal feeding is a frequent occurrence, which in turn would cause se...

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Main Authors: Jun-Fa Liang, Cheng Peng, Peiyu Li, Qiu-Xiong Ye, Yu Wang, Yun-Ting Yi, Zi-Sheng Yao, Gui-Yun Chen, Bin-Bin Zhang, Jia-Jian Lin, Qizhi Luo, Xuncai Chen
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Bioinorganic Chemistry and Applications
Online Access:http://dx.doi.org/10.1155/2021/8180154
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author Jun-Fa Liang
Cheng Peng
Peiyu Li
Qiu-Xiong Ye
Yu Wang
Yun-Ting Yi
Zi-Sheng Yao
Gui-Yun Chen
Bin-Bin Zhang
Jia-Jian Lin
Qizhi Luo
Xuncai Chen
author_facet Jun-Fa Liang
Cheng Peng
Peiyu Li
Qiu-Xiong Ye
Yu Wang
Yun-Ting Yi
Zi-Sheng Yao
Gui-Yun Chen
Bin-Bin Zhang
Jia-Jian Lin
Qizhi Luo
Xuncai Chen
author_sort Jun-Fa Liang
collection DOAJ
description Antibiotics, as veterinary drugs, have made extremely important contributions to disease prevention and treatment in the animal breeding industry. However, the accumulation of antibiotics in animal food due to their overuse during animal feeding is a frequent occurrence, which in turn would cause serious harm to public health when they are consumed by humans. Antibiotic residues in food have become one of the central issues in global food safety. As a safety measure, rapid and effective analytical approaches for detecting these residues must be implemented to prevent contaminated products from reaching the consumers. Traditional analytical methods, such as liquid chromatography, liquid chromatography mass spectrometry, and capillary electrophoresis, involve time-consuming sample preparation and complicated operation and require expensive instrumentation. By comparison, surface-enhanced Raman spectroscopy (SERS) has excellent sensitivity and remarkably enhanced target recognition. Thus, SERS has become a promising alternative analytical method for detecting antibiotic residues, as it can provide an ultrasensitive fingerprint spectrum for the rapid and noninvasive detection of trace analytes. In this study, we comprehensively review the recent progress and advances that have been achieved in the use of SERS in antibiotic residue detection. We introduce and discuss the basic principles of SERS. We then present the prospects and challenges in the use of SERS in the detection of antibiotics in food. Finally, we summarize and discuss the current problems and future trends in the detection of antibiotics in food.
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spelling doaj-art-008003ef281049f6975012a3ff7589e52025-02-03T06:46:08ZengWileyBioinorganic Chemistry and Applications1687-479X2021-01-01202110.1155/2021/8180154A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman SpectroscopyJun-Fa Liang0Cheng Peng1Peiyu Li2Qiu-Xiong Ye3Yu Wang4Yun-Ting Yi5Zi-Sheng Yao6Gui-Yun Chen7Bin-Bin Zhang8Jia-Jian Lin9Qizhi Luo10Xuncai Chen11Guangzhou Institute of Food InspectionGuangzhou Institute of Food InspectionDepartment of Forensic ToxicologyGuangzhou Institute of Food InspectionGuangzhou Institute of Food InspectionGuangzhou Institute of Food InspectionGuangzhou Institute of Food InspectionGuangzhou Institute of Food InspectionGuangzhou Institute of Food InspectionGuangzhou Institute of Food InspectionDepartment of Forensic ToxicologyDepartment of Forensic ToxicologyAntibiotics, as veterinary drugs, have made extremely important contributions to disease prevention and treatment in the animal breeding industry. However, the accumulation of antibiotics in animal food due to their overuse during animal feeding is a frequent occurrence, which in turn would cause serious harm to public health when they are consumed by humans. Antibiotic residues in food have become one of the central issues in global food safety. As a safety measure, rapid and effective analytical approaches for detecting these residues must be implemented to prevent contaminated products from reaching the consumers. Traditional analytical methods, such as liquid chromatography, liquid chromatography mass spectrometry, and capillary electrophoresis, involve time-consuming sample preparation and complicated operation and require expensive instrumentation. By comparison, surface-enhanced Raman spectroscopy (SERS) has excellent sensitivity and remarkably enhanced target recognition. Thus, SERS has become a promising alternative analytical method for detecting antibiotic residues, as it can provide an ultrasensitive fingerprint spectrum for the rapid and noninvasive detection of trace analytes. In this study, we comprehensively review the recent progress and advances that have been achieved in the use of SERS in antibiotic residue detection. We introduce and discuss the basic principles of SERS. We then present the prospects and challenges in the use of SERS in the detection of antibiotics in food. Finally, we summarize and discuss the current problems and future trends in the detection of antibiotics in food.http://dx.doi.org/10.1155/2021/8180154
spellingShingle Jun-Fa Liang
Cheng Peng
Peiyu Li
Qiu-Xiong Ye
Yu Wang
Yun-Ting Yi
Zi-Sheng Yao
Gui-Yun Chen
Bin-Bin Zhang
Jia-Jian Lin
Qizhi Luo
Xuncai Chen
A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy
Bioinorganic Chemistry and Applications
title A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy
title_full A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy
title_fullStr A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy
title_full_unstemmed A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy
title_short A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy
title_sort review of detection of antibiotic residues in food by surface enhanced raman spectroscopy
url http://dx.doi.org/10.1155/2021/8180154
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