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Machine learning-assisted CeO2 nanorod sensor platform for visual detection of paraoxon
Hongmei Liu1, Zaiyou Tao1, Shaoying He1
1Kunming University of Science & Technology, Kunming 650500, Yunnan, People's Republic of China. hesy@kust.edn.cn.
Abstract:
Here we report a machine learning-assisted CeO2 nanorod sensor platform, which can achieve real-time colorimetric detection of the selectivity of paraoxon with an accuracy rate of 90%. Its high selectivity comes from the fact that CeO2 nanorods selectively break the P-O bonds in paraoxon, and the product is yellow.

