Rapid detection of chlorpyrifos pesticide residue concentration in agro-product using Raman spectroscopy

Sagar Dhakal; Yankun Peng; Yongyu Li; Kuanglin Chao; Jianwei Qin; Leilei Zhang; Tianfeng Xu

doi:10.1117/12.2050137

28 May 2014 Rapid detection of chlorpyrifos pesticide residue concentration in agro-product using Raman spectroscopy

Sagar Dhakal, Yankun Peng, Yongyu Li, Kuanglin Chao, Jianwei Qin, Leilei Zhang, Tianfeng Xu

Proceedings Volume 9108, Sensing for Agriculture and Food Quality and Safety VI; 91080O (2014) https://doi.org/10.1117/12.2050137
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

Different chemicals are sprayed in fruits and vegetables before and after harvest for better yield and longer shelf-life of crops. Cases of pesticide poisoning to human health are regularly reported due to excessive application of such chemicals for greater economic benefit. Different analytical technologies exist to detect trace amount of pesticides in fruits and vegetables, but are expensive, sample destructive, and require longer processing time. This study explores the application of Raman spectroscopy for rapid and non-destructive detection of pesticide residue in agricultural products. Raman spectroscopy with laser module of 785 nm was used to collect Raman spectral information from the surface of Gala apples contaminated with different concentrations of commercially available organophosphorous (48% chlorpyrifos) pesticide. Apples within 15 days of harvest from same orchard were used in this study. The Raman spectral signal was processed by Savitzky-Golay (SG) filter for noise removal, Multiplicative Scatter Correction (MSC) for drift removal and finally polynomial fitting was used to eliminate the fluorescence background. The Raman spectral peak at 677 cm^-1 was recognized as Raman fingerprint of chlorpyrifos. Presence of Raman peak at 677 cm^-1 after fluorescence background removal was used to develop classification model (presence and absence of pesticide). The peak intensity was correlated with actual pesticide concentration obtained using Gas Chromatography and MLR prediction model was developed with correlation coefficient of calibration and validation of 0.86 and 0.81 respectively. Result shows that Raman spectroscopy is a promising tool for rapid, real-time and non-destructive detection of pesticide residue in agro-products.

Citation Download Citation

Sagar Dhakal, Yankun Peng, Yongyu Li, Kuanglin Chao, Jianwei Qin, Leilei Zhang, and Tianfeng Xu "Rapid detection of chlorpyrifos pesticide residue concentration in agro-product using Raman spectroscopy", Proc. SPIE 9108, Sensing for Agriculture and Food Quality and Safety VI, 91080O (28 May 2014); https://doi.org/10.1117/12.2050137

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