Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review
Yihao Zhang,
Jiaxuan Li,
Yu Zhou
et al.
Abstract:Water pollution greatly impacts humans and ecosystems, so a series of policies have been enacted to control it. The first step in performing pollution control is to detect contaminants in the water. Various methods have been proposed for water quality testing, such as spectroscopy, chromatography, and electrochemical techniques. However, traditional testing methods require the utilization of laboratory equipment, which is large and not suitable for real-time testing in the field. Microfluidic devices can overc… Show more
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