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Recent advances in quantum dots-based biosensors for antibiotics detection

Antibiotics are a category of chemical compounds used to treat bacterial infections and are widely applied in cultivation, animal husbandry, aquaculture, and pharmacy. Currently, residual antibiotics and their metabolites pose a potential risk of allergic reactions, bacterial resistance, and increas...

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Autores principales: Ding, Rui, Chen, Yue, Wang, Qiusu, Wu, Zhengzhang, Zhang, Xing, Li, Bingzhi, Lin, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Xi'an Jiaotong University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257440/
https://www.ncbi.nlm.nih.gov/pubmed/35811614
http://dx.doi.org/10.1016/j.jpha.2021.08.002
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author Ding, Rui
Chen, Yue
Wang, Qiusu
Wu, Zhengzhang
Zhang, Xing
Li, Bingzhi
Lin, Lei
author_facet Ding, Rui
Chen, Yue
Wang, Qiusu
Wu, Zhengzhang
Zhang, Xing
Li, Bingzhi
Lin, Lei
author_sort Ding, Rui
collection PubMed
description Antibiotics are a category of chemical compounds used to treat bacterial infections and are widely applied in cultivation, animal husbandry, aquaculture, and pharmacy. Currently, residual antibiotics and their metabolites pose a potential risk of allergic reactions, bacterial resistance, and increased cancer incidence. Residual antibiotics and the resulting bacterial antibiotic resistance have been recognized as a global challenge that has attracted increasing attention. Therefore, monitoring antibiotics is a critical way to limit the ecological risks from antibiotic pollution. Accordingly, it is desirable to devise new analytical platforms to achieve efficient antibiotic detection with excellent sensitivity and specificity. Quantum dots (QDs) are regarded as an ideal material for use in the development of antibiotic detection biosensors. In this review, we characterize different types of QDs, such as silicon, chalcogenide, carbon, and other doped QDs, and summarize the trends in QD-based antibiotic detection. QD-based sensing applications are classified according to their recognition strategies, including molecularly imprinted polymers (MIPs), aptamers, and immunosensors. We discuss the advantages of QD-derived antibiotic sensors, including low cost, good sensitivity, excellent stability, and fast response, and illustrate the current challenges in this field.
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spelling pubmed-92574402022-07-08 Recent advances in quantum dots-based biosensors for antibiotics detection Ding, Rui Chen, Yue Wang, Qiusu Wu, Zhengzhang Zhang, Xing Li, Bingzhi Lin, Lei J Pharm Anal Review Paper Antibiotics are a category of chemical compounds used to treat bacterial infections and are widely applied in cultivation, animal husbandry, aquaculture, and pharmacy. Currently, residual antibiotics and their metabolites pose a potential risk of allergic reactions, bacterial resistance, and increased cancer incidence. Residual antibiotics and the resulting bacterial antibiotic resistance have been recognized as a global challenge that has attracted increasing attention. Therefore, monitoring antibiotics is a critical way to limit the ecological risks from antibiotic pollution. Accordingly, it is desirable to devise new analytical platforms to achieve efficient antibiotic detection with excellent sensitivity and specificity. Quantum dots (QDs) are regarded as an ideal material for use in the development of antibiotic detection biosensors. In this review, we characterize different types of QDs, such as silicon, chalcogenide, carbon, and other doped QDs, and summarize the trends in QD-based antibiotic detection. QD-based sensing applications are classified according to their recognition strategies, including molecularly imprinted polymers (MIPs), aptamers, and immunosensors. We discuss the advantages of QD-derived antibiotic sensors, including low cost, good sensitivity, excellent stability, and fast response, and illustrate the current challenges in this field. Xi'an Jiaotong University 2022-06 2021-08-04 /pmc/articles/PMC9257440/ /pubmed/35811614 http://dx.doi.org/10.1016/j.jpha.2021.08.002 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review Paper
Ding, Rui
Chen, Yue
Wang, Qiusu
Wu, Zhengzhang
Zhang, Xing
Li, Bingzhi
Lin, Lei
Recent advances in quantum dots-based biosensors for antibiotics detection
title Recent advances in quantum dots-based biosensors for antibiotics detection
title_full Recent advances in quantum dots-based biosensors for antibiotics detection
title_fullStr Recent advances in quantum dots-based biosensors for antibiotics detection
title_full_unstemmed Recent advances in quantum dots-based biosensors for antibiotics detection
title_short Recent advances in quantum dots-based biosensors for antibiotics detection
title_sort recent advances in quantum dots-based biosensors for antibiotics detection
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257440/
https://www.ncbi.nlm.nih.gov/pubmed/35811614
http://dx.doi.org/10.1016/j.jpha.2021.08.002
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