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-1 were 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.
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