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目的基于拉曼光谱技术初步探讨菠菜表面有机磷农药毒死蜱的快速、无损检测新方法。方法利用本研究自行搭建的拉曼光谱检测系统获取残留不同浓度毒死蜱农药的菠菜光谱曲线,通过SG-5点平滑减小曲线噪声,基于最小二乘法的10次多项式拟合法剔除菠菜荧光背景,并对含有不同浓度毒死蜱农药的菠菜样品拉曼图谱进行比较分析。结果特征归属为P=S振动的632 cm-1处的拉曼信号可识别菠菜表面毒死蜱农药残留,其检测限为400 mg/kg,而且拉曼特征波峰的相对强度与菠菜表面农药残留浓度存在较好的线性关系,其相关系数为R2=0.92。结论拉曼光谱技术有望实现叶片类蔬菜的农药残留的快速、无损、定量检测。
OBJECTIVE: To explore a new method for rapid and non-destructive detection of chlorpyrifos in spinach on the surface of spinach based on Raman spectroscopy. Methods Spinach spectral curves of pesticides with different concentrations of chlorpyrifos residues were obtained by Raman spectroscopy detection system. The curve noise was smoothed by SG-5, and the spinach fluorescence background was removed by the 10-order polynomial fitting method based on the least square method. The Raman spectra of spinach samples containing pesticides with different concentrations of chlorpyrifos were comparatively analyzed. Results The Raman signal at 632 cm-1, which belonged to the vibration of P = S, could identify the pesticide residues on spinach surface with a detection limit of 400 mg / kg and the relative intensities of Raman-specific peaks and pesticide residues on spinach A good linear relationship, the correlation coefficient R2 = 0.92. Conclusion Raman spectroscopy is expected to achieve rapid, nondestructive and quantitative detection of pesticide residues in leafy vegetables.