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A group-targeting biosensor for sensitive and rapid detection of quinolones in water samples

化学 生物传感器 色谱法 组合化学 环境化学 生物化学
作者
Bohan Wang,Lanhua Liu,Haopeng Zhang,Zhiqiang Wang,Kang Chen,Bo Wu,Limin Hu,Xiaohong Zhou,Lanlan Liu
出处
期刊:Analytica Chimica Acta [Elsevier]
卷期号:1301: 342475-342475 被引量:1
标识
DOI:10.1016/j.aca.2024.342475
摘要

Quinolones (QNs) widely exist in the environment due to their wide range of applications and poor metabolic properties, resulting in the generation and spread of resistance genes, posing a potential threat to human health. Traditional analytical methods cannot detect all broad ranges of QNs simultaneously. The development of facile, efficient and reliable method for quantification and assessment of the total QNs is a long-lasting challenge. We hereby provide a simple, sensitive and instantaneous group-targeting biosensor for the detection of total QNs in environmental water samples. The biosensor is based on a group-specific antibodies with high affinity against QNs. Fluorescent labeled antibodies bound to the coated antigen modified on the surface of the transducer, and excited by the evanescent waves. The detected fluorescent signal is inversely proportional to the QNs concentration. This biosensor exhibited excellent performance with detection limits lower than 0.15 μg L−1 for all five QNs variants, and even lower than 0.075 μg L−1 for ciprofloxacin (CIP) and ofloxacin (OFL). Environmental water samples can be detected after simple pretreatment, and all detection steps can be completed in 10 min. The transducer has a high regenerative capacity and shows no significant signal degradation after two hundred detection cycles. The recoveries of QNs in a variety of wastewater range from 105 to 119%, confirming its application potential in the measurement of total QNs in reality. The biosensor can realize rapid and sensitive detection of total QNs in water samples by simple pretreatment, which overcomes the disadvantage of the traditional methods that require complex pretreatment and time-consuming, and pave the groundwork for expansive development centered around this technology.
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