SERS of diazinon: a experimental and computational study

Xiaodong Li; Yanyan Zhang; Ling Wang; Hao Zhang; Junfeng Wu; Hongjun Chen; Rui Su; Can Li; Jiandong Hu

doi:10.1117/12.2657234

18 October 2022 SERS of diazinon: a experimental and computational study

Xiaodong Li, Yanyan Zhang, Ling Wang, Hao Zhang, Junfeng Wu, Hongjun Chen, Rui Su, Can Li, Jiandong Hu

Proceedings Volume 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022); 123490K (2022) https://doi.org/10.1117/12.2657234
Event: International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 2022, Zhengzhou, China

Abstract

Diazinon is a highly efficient, highly toxic, low residual organophosphorus pesticide used widely in rice, vegetables, and corn crops. Conventional methods for diazinon detection are limited by expensive instruments and tedious sample pretreatment methods, so a new method for rapid, simple, and reliable trace pesticide residues is needed to ensure the safety of crop products. In this paper, silver nanoparticles were synthesized as active substrates using a reduction technique for SERS signal enhancement. The SERS spectra of diazinon were collected over a wide range of concentrations. The characteristic peaks at 1642 cm^-1 and 1351 cm^-1were selected for quantitative analysis, and their coefficient of determination (R²) were 0.9929 and 0.9951, respectively. In addition, the molecular structure of diazinon was simulated for the first time, and the vibrational modes corresponding to the characteristic spectra of diazinon were calculated with good agreement using the density flooding theory B3LY P/6-31+G (d, p). These results indicate that the application of SERS to diazinon detection is feasible and has broad application prospects.

Citation Download Citation

Xiaodong Li, Yanyan Zhang, Ling Wang, Hao Zhang, Junfeng Wu, Hongjun Chen, Rui Su, Can Li, and Jiandong Hu "SERS of diazinon: a experimental and computational study", Proc. SPIE 12349, International Conference on Agri-Photonics and Smart Agricultural Sensing Technologies (ICASAST 2022), 123490K (18 October 2022); https://doi.org/10.1117/12.2657234

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