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Updated: Feb 1, 2026

Observation and Analysis of Blinking Surface-enhanced Raman Scattering
Published on: January 11, 2018
Fast sensing of imidacloprid residue in tea using surface-enhanced Raman scattering by comparative multivariate
Quansheng Chen1, Md Mehedi Hassan1, Jing Xu2
1School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Abstract:
This study focused on the fabrication of a rapid, highly sensitive and inexpensive technique for the quantification of imidacloprid residue in green tea, based on surface-enhanced Raman scattering (SERS) using highly roughned surface flower shaped silver nanostructure (as SERS substrate) coupled with the chemometrics algorithm. The basic principle of this method is imidacloprid yielded SERS signal after adsorption on Ag-NF under laser excitation by the electromagnetic enhancement and the intensity of the peak is proportional to the concentration ranging from 1.0 × 103 to 1.0 × 10-4 μg/mL. Among the models used, the GA-PLS (Genetic algorithm-partial least square) exhibited superiority to quantify imidacloprid residue in green tea. The model achieved Rp (correlation coefficient) of 0.9702 with RPD of 4.95% in the test set and RSD for precision recorded up to 4.50%. Therefore, the proposed sensor could be employed to quantify imidacloprid residue in green tea for the safeguarding of quality and human health.
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