Food chemistryPesticide ResiduesSpectrum AnalysisRamanFood ContaminationMachine Learning
Integrated surface-enhanced Raman spectroscopy and machine learning for identification and quantification of multi-target pesticide residues in fruit juices.
Shen Jiang, Qiuyun Li, Xubin Quan, Yaowen Xing, Yujiang Huang, Xuming Mu, Yitong Meng, Guangrun Wu, Tong Ju, Yuhan Chu, Ruiyao Ma, Jing Wu, Xiaotong Wang, Sheng Wang, Yang Li
Published: 202610.1016/j.foodchem.2025.147143
Abstract
This study developed a novel SERS platform integrated with machine learning for rapid, sensitive, and discriminative analysis of multi-target pesticide residues in fruit juices. The core-shell Au@AgCNCs nanostructure markedly amplifies Raman signals…
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