Machine learning-assisted CeO2 nanorod sensor platform for visual detection of paraoxon

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.