School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China.
Spectrochim Acta A Mol Biomol Spectrosc. 2019 Mar 15;211:86-93. doi: 10.1016/j.saa.2018.11.041. Epub 2018 Nov 16.
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 × 10 to 1.0 × 10 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.
本研究聚焦于基于表面增强拉曼散射（SERS），利用高度粗糙的花状银纳米结构（作为 SERS 基底）结合化学计量学算法，快速、高灵敏且低成本地定量绿茶中吡虫啉残留量的方法。该方法的基本原理是，在激光激发下，吡虫啉吸附在 Ag-NF 上产生 SERS 信号，通过电磁增强，峰的强度与浓度成正比，范围从 1.0×10 到 1.0×10μg/mL。在所使用的模型中，GA-PLS（遗传算法-偏最小二乘法）在定量绿茶中吡虫啉残留方面表现出优越性。该模型在测试集中达到了 Rp（相关系数）为 0.9702，RPD（可靠性参数）为 4.95%，精密度的 RSD 记录高达 4.50%。因此，该传感器可用于定量绿茶中的吡虫啉残留，以保障质量和人类健康。
