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MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food
The quinolone antibiotics represented by enrofloxacin (ENRO) are harmful to the ecological environment and human health due to illegal excessive use, resulting in increasing food residues and ENRO levels in the environment. To this end, we developed a MIPs–SERS method using surface-enhanced Raman sp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046510/ https://www.ncbi.nlm.nih.gov/pubmed/36979542 http://dx.doi.org/10.3390/bios13030330 |
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author | Neng, Jing Wang, Yazhi Zhang, Yilong Chen, Peng Yang, Kai |
author_facet | Neng, Jing Wang, Yazhi Zhang, Yilong Chen, Peng Yang, Kai |
author_sort | Neng, Jing |
collection | PubMed |
description | The quinolone antibiotics represented by enrofloxacin (ENRO) are harmful to the ecological environment and human health due to illegal excessive use, resulting in increasing food residues and ENRO levels in the environment. To this end, we developed a MIPs–SERS method using surface-enhanced Raman spectroscopy (SERS) and molecularly imprinted polymers (MIPs) to detect ENRO in food matrices. Firstly, a layer of silver nanoparticles (Ag NPs) with the best SERS effect was synthesized on the surface of copper rods as the enhancing material by in situ reductions, and then MIPs targeting ENRO were prepared by the native polymerization reaction, and the MIPs containing template molecules wrapped on the surface of silver nanoparticle films (Ag NPs–MIPs) were obtained. Our results showed that the Ag NPs–MIPs could specifically identify ENRO from the complex environment. The minimum detection limit for ENRO was 0.25 ng/mL, and the characteristic peak intensity of ENRO was linearly correlated to the concentration with a linear range of 0.001~0.1 μg/mL. The experimental results showed that in comparison to other detection methods, the rapid detection of ENRO in food matrices using Ag NPs–MIPs as the substrate is reliable and offers a cost-effective, time-saving, highly selective, and sensitive method for detecting ENRO residues in real food samples. |
format | Online Article Text |
id | pubmed-10046510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100465102023-03-29 MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food Neng, Jing Wang, Yazhi Zhang, Yilong Chen, Peng Yang, Kai Biosensors (Basel) Article The quinolone antibiotics represented by enrofloxacin (ENRO) are harmful to the ecological environment and human health due to illegal excessive use, resulting in increasing food residues and ENRO levels in the environment. To this end, we developed a MIPs–SERS method using surface-enhanced Raman spectroscopy (SERS) and molecularly imprinted polymers (MIPs) to detect ENRO in food matrices. Firstly, a layer of silver nanoparticles (Ag NPs) with the best SERS effect was synthesized on the surface of copper rods as the enhancing material by in situ reductions, and then MIPs targeting ENRO were prepared by the native polymerization reaction, and the MIPs containing template molecules wrapped on the surface of silver nanoparticle films (Ag NPs–MIPs) were obtained. Our results showed that the Ag NPs–MIPs could specifically identify ENRO from the complex environment. The minimum detection limit for ENRO was 0.25 ng/mL, and the characteristic peak intensity of ENRO was linearly correlated to the concentration with a linear range of 0.001~0.1 μg/mL. The experimental results showed that in comparison to other detection methods, the rapid detection of ENRO in food matrices using Ag NPs–MIPs as the substrate is reliable and offers a cost-effective, time-saving, highly selective, and sensitive method for detecting ENRO residues in real food samples. MDPI 2023-02-28 /pmc/articles/PMC10046510/ /pubmed/36979542 http://dx.doi.org/10.3390/bios13030330 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Neng, Jing Wang, Yazhi Zhang, Yilong Chen, Peng Yang, Kai MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food |
title | MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food |
title_full | MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food |
title_fullStr | MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food |
title_full_unstemmed | MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food |
title_short | MIPs–SERS Sensor Based on Ag NPs Film for Selective Detection of Enrofloxacin in Food |
title_sort | mips–sers sensor based on ag nps film for selective detection of enrofloxacin in food |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10046510/ https://www.ncbi.nlm.nih.gov/pubmed/36979542 http://dx.doi.org/10.3390/bios13030330 |
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