Open Access
Open access
volume 12 issue 3 pages 355-364

Recent advances in quantum dots-based biosensors for antibiotics detection

Rui Ding 1
Yang-Chao Chen 2
Qiusu Wang 3
Zhengzhang Wu 4
Xing Zhang 1
Bingzhi Li 1
Lin Lei 3
Publication typeJournal Article
Publication date2022-06-01
scimago Q1
wos Q1
SJR1.452
CiteScore11.1
Impact factor8.9
ISSN20951779, 22140883
Drug Discovery
Spectroscopy
Pharmaceutical Science
Analytical Chemistry
Electrochemistry
Pharmacy
Abstract
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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GOST |
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GOST Copy
Ding R. et al. Recent advances in quantum dots-based biosensors for antibiotics detection // Journal of Pharmaceutical Analysis. 2022. Vol. 12. No. 3. pp. 355-364.
GOST all authors (up to 50) Copy
Ding R., Chen Y., Wang Q., Wu Z., Zhang X., Li B., Lei L. Recent advances in quantum dots-based biosensors for antibiotics detection // Journal of Pharmaceutical Analysis. 2022. Vol. 12. No. 3. pp. 355-364.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1016/j.jpha.2021.08.002
UR - https://doi.org/10.1016/j.jpha.2021.08.002
TI - Recent advances in quantum dots-based biosensors for antibiotics detection
T2 - Journal of Pharmaceutical Analysis
AU - Ding, Rui
AU - Chen, Yang-Chao
AU - Wang, Qiusu
AU - Wu, Zhengzhang
AU - Zhang, Xing
AU - Li, Bingzhi
AU - Lei, Lin
PY - 2022
DA - 2022/06/01
PB - Xi'an Jiaotong University
SP - 355-364
IS - 3
VL - 12
PMID - 35811614
SN - 2095-1779
SN - 2214-0883
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Ding,
author = {Rui Ding and Yang-Chao Chen and Qiusu Wang and Zhengzhang Wu and Xing Zhang and Bingzhi Li and Lin Lei},
title = {Recent advances in quantum dots-based biosensors for antibiotics detection},
journal = {Journal of Pharmaceutical Analysis},
year = {2022},
volume = {12},
publisher = {Xi'an Jiaotong University},
month = {jun},
url = {https://doi.org/10.1016/j.jpha.2021.08.002},
number = {3},
pages = {355--364},
doi = {10.1016/j.jpha.2021.08.002}
}
MLA
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MLA Copy
Ding, Rui, et al. “Recent advances in quantum dots-based biosensors for antibiotics detection.” Journal of Pharmaceutical Analysis, vol. 12, no. 3, Jun. 2022, pp. 355-364. https://doi.org/10.1016/j.jpha.2021.08.002.