Pesticide Detection Based on Surface-Enhanced Raman Spectroscopy and Its Barcode Database Analysis

Raman spectroscopy, a non-destructive chemical analysis technique, is an extremely useful chemical identification tool that provides detailed information about the chemical structure. However, some challenges are inevitable in practical applications, mechanical and electromagnetic noises, fluctuations in laser light, and background fluorescent signal; especially, variance is observed for the same substance under different environmental conditions. In this study, a small-step center weighted moving average (CWMA) algorithm was used to process the Raman spectra of pesticides to obtain optimized spectral data. Then the EAN-13 international universal barcode was used as the carrier of detection information to generate barcode images by adopting the python-barcode function library. In this study, the pesticide barcode database was established with the Raman detection platform.