A Review on the Application of Biosensors for Monitoring Emerging Contaminants in the Water Environment
Yi Xiao, Zhe Du, Yuqian Li, Lijia Cao, Bo Zhu, Tetsuya Kitaguchi, Caihong Huang
Chinese Research Academy of Environmental Sciences Shandong University of Science and Technology Tokyo Institute of Technology
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摘要与影响
Due to the frequent occurrence and elevated concentrations of emerging contaminants (ECs) in water environments, as well as their high toxicity, these compounds have become a growing concern, threatening water safety, human health, and environmental health. Stricter regulations and routine monitoring are required to control EC pollution in water. Analytical chemistry-based techniques are the most widely used approach for quantifying ECs in environmental samples. However, high costs, complex sample preparation, time-consuming protocols, and labor-intensive processes limit their application for the routine and rapid detection of ECs. Biosensors are a promising biotechnological alternative that has received increased attention in recent years for the quantification of ECs. This review provides a comprehensive overview of the main types of biosensors used for monitoring ECs in aquatic environments, highlighting their underlying detection mechanisms and recent technological advancements. It also discusses key challenges associated with different biosensor platforms, such as stability, sensitivity, and development complexity. Potential future research directions to address these limitations and enhance the performance of biosensors include immobilization on hybrid nanomaterials, and the development of portable and multifunctional biosensors for on-site and real-time monitoring. By summarizing current progress and identifying future directions, this review will broaden the awareness and recognition of biosensors for monitoring ECs in water environments, contributing to water safety, sanitation, and sustainability.
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生物医学Advanced biosensing and bioanalysis techniques
Electrochemical sensors and biosensors · Biosensors and Analytical Detection
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