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Colorimetric sensing array based on Fe single-atom nanozyme for ultrasensitively discriminating organophosphorus
Yi Yuan1, Haibo He1, Xiaojing Si2
1Department of Chemistry, College of Sciences, Shanghai University, 99 Shangda Road, Shanghai, 200444, PR China.
Background:
Pesticide residue monitoring is of vital importance in ensuring food safety and promoting public health. In contrast to traditional approaches, colorimetric sensor arrays enable rapid, intuitive, and cost-effective simultaneous detection of multi-pesticides.
Results:
In this study, we constructed a three-channel colorimetric sensor array based on the catalytic oxidation of various substrates mediated by a synthesized Fe-N/C single-atom nanozyme (Fe-N/C SAN). Distinct color responses and fingerprint-like patterns were generated for six organophosphorus pesticides (OPs), as each pesticide differentially modulated the oxidase-like activity of Fe-N/C SAN. The developed sensor array achieved 100% discrimination of six OPs within a concentration range of 1-100 ng/mL through standard statistical analysis to extract pesticide feature values from extensive signal data, and enabled reliable identification of different concentrations and mixtures. Additionally, by integrating smartphone with RGB analysis, a platform for intelligent and on-site detection of the six OPs in fruit samples was developed.
Significance:
The established classification model was evaluated using leave-one-out cross-validation (LOOCV) and obtained satisfactory accuracy. The robust recognition performance demonstrated the practical effectiveness of the sensor array.
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