SERS技术用于苹果表面有机磷农药残留的检测

传统农药残留检测方法比较繁琐、耗时、破坏样品，快速、无损、实时在线是农残检测的发展方向。本文利用表面增强拉曼光谱技术，以苹果为载体，有机磷农药甲拌磷和倍硫磷为研究对象，初步探讨了苹果表面甲拌磷和倍硫磷农药的快速无损检测方法。结果表明，运用表面增强拉曼光谱技术，可使两种有机磷农药的特征频率较易识别，并选取甲拌磷的728 cm-1和倍硫磷的1 512 cm-1 处的拉曼信号作为定量分析目标峰，采用内标法建立甲拌磷、倍硫磷的线性回归模型，可以作为定量分析甲拌磷、倍硫磷的参考依据。

Detection of Organophosphorus Pesticide Residue on the Surface of Apples Using SERS

Traditional pesticide residue detection methods are usually complicated, time-consuming, and destructive. Rapid, nondestructive, online real-time is the development direction of the pesticide testing. In the present paper, we use surface enhanced Raman spectroscopy (SERS) technique to detect the organophosphorus pesticide residue of phorate and fenthion on apple to investigate a fast, nondestructive detection method for the pesticide of phorate and tiguron on apples. The results show that the characteristic frequencies of the two organophosphorus pesticides are easier to identify using surface-enhanced Raman spectroscopy. We select Raman signal at 728 cm-1 for phorate and that at 1 512 cm-1 for fenthion as target peak for quantitative analysis, and use an internal standard to establish phorate and fenthion linear regression model. This method can be used as a quantitative analysis reference of phorate and fenthion.