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Machine learning assisted dual-functional nanophotonic sensor for organic pollutant detection and degradation in water

Environmental Studies and Forestry

Machine learning assisted dual-functional nanophotonic sensor for organic pollutant detection and degradation in water

J. Zhou, Z. Wu, et al.

This groundbreaking study by Junhu Zhou, Ziqian Wu, Congran Jin, and John X. J. Zhang unveils a dual-functional thin film that excels in water purification and organic pollutant sensing. With a remarkable 98%+ degradation efficiency and an impressive enhancement factor of 1056 for SERS signals, it pushes the boundaries of environmental science using machine learning for real-time detection.

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