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A Smartphone-Based Imaging Method for C. elegans Lawn Avoidance Assay
Published on: February 24, 2023
Au@Pt NCs nanozyme-based multichannel sensor array coupled with smartphone for selective identification and on-site
Xuran Fu1, Yongmei Ji1, Zexun Zhang1
1School of Food Science and Technology, International Joint Laboratory on Food Safety, Synergetic Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, PR China; Key Laboratory of Screening, Prevention, and Control of Food Safety Risks, State Administration for Market Regulation, Wuxi, Jiangsu 214122, PR China; Institute of Future Food Technology, JITRI, Yixing, Jiangsu 214200, PR China.
Abstract:
As a widely applied neonicotinoid insecticide, imidacloprid (IMI) necessitates portable residue monitoring to ensure food safety. Herein, a multichannel colorimetric sensor array was developed for selective IMI identification and quantification, employing Au@Pt nanoclusters (Au@Pt NCs) as the sole nanozyme sensing receptor. Rather than introducing multiple sensing materials, the proposed strategy extracts three characteristic absorption responses at 370, 450, and 652 nm from a single Au@Pt NCs-catalyzed TMB-H₂O₂ reaction to generate multidimensional cross-reactive fingerprints. The Au@Pt NCs provided sufficient peroxidase-like catalytic activity for signal generation, enabling five representative pesticides, including IMI and its structural analogues, to be successfully discriminated. Linear discriminant analysis achieved 100% classification accuracy as confirmed by cross-validation, while hierarchical cluster analysis further demonstrated clear clustering among the different pesticide groups. Moreover, capitalizing on the pronounced inhibitory effect of IMI on the nanozyme catalytic activity, a dual-mode detection platform integrating colorimetry with smartphone-based readout was established for IMI quantification. Under optimized experimental parameters, the limits of detection were 0.112 µg/L for the colorimetric mode and 1.236 µg/L for the smartphone-assisted approach. By converting the Au@Pt NCs mediated catalytic reaction into multidimensional analytical information, this work provides an affordable, portable, and practical strategy for pesticide discrimination and on-site IMI monitoring.
