Citation: Yuxin Li, Chengbin Liu, Qiuju Li, Shun Mao. Fluorescence analysis of antibiotics and antibiotic-resistance genes in the environment: A mini review[J]. Chinese Chemical Letters, ;2024, 35(10): 109541. doi: 10.1016/j.cclet.2024.109541 shu

Fluorescence analysis of antibiotics and antibiotic-resistance genes in the environment: A mini review

Yuxin Li ^a ,
Chengbin Liu ^b ,
Qiuju Li ^{a, *,} ,
Shun Mao ^{a, *,}

a.
College of Environmental Science and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Tongji University, Shanghai 200092, China
b.
Institute for Agri-food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China

qjli@tongji.edu.cn

shunmao@tongji.edu.cn

Received Date: 24 July 2023
Revised Date: 27 December 2023
Accepted Date: 14 January 2024
Available Online: 28 January 2024

Figures(5)

Antibiotics, as widely used antibacterial drug, exist in various environmental media. Antibiotic residues can affect biological metabolism and lead to bacterial resistance and the formation of antibiotic-resistance genes, posing a threat to human health and ecological safety. Establishing efficient detection methods for antibiotics and antibiotic-resistance genes has great environmental significance. Fluorescence detection methods, due to their fast response, high sensitivity and specificity, and low-cost, are widely used in chemical and biological sensing. This review first summarizes the pre-treatment methods for different types of environmental samples, and then focuses on the recent advances of fluorescence methods for the detection of antibiotics and antibiotic-resistance genes. Finally, main challenges and future research directions of fluorescence methods for antibiotic and antibiotic-resistance genes detection are discussed. This review highlights the promising prospect of fluorescence methods in-situ detection and monitoring of antibiotics and antibiotic-resistance genes, and provides guidance for the construction of overall risk assessment system of environmental media.
- Antibiotics,
- Antibiotic-resistance genes,
- Fluorescence detection,
- Environmental samples,
- In-situ detection
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