针对蔬菜品质安全无损伤检测的实际市场需求, 结合叶菜表面农药残留等品质安全参数的不均一性, 以实验室自行搭建的拉曼光谱硬件系统为基础, 开发了叶菜气吸平整装置, 编写了基于LabVIEW开发平台的GUI应用程序。 该系统通过设定扫描步长等参数, 实现了整个菠菜样品的拉曼光谱自动点扫描检测, 包括对所有扫描点的拉曼信号进行自动采集、 显示和存储。 检测过程中, 系统软件实时监控相机、 二维平移台的运行状态。 同时, 针对菠菜原始光谱特性编写了基于有效峰线性拟合基线校准方法的拉曼光谱荧光剔除程序, 实现了对样品所有扫描点数据的自动基线校准及叠加平均处理。 菠菜样品的点扫描实验结果显示, 一次扫描不仅可以获得菠菜样品每一扫描点的叶绿素含量及毒死蜱农药残留等品质安全参数的分布情况, 而且还可以获得整个样品各参数的平均信息。 该点扫描拉曼系统有效提高了不均匀样品的品质安全参数的检测精度。

According to actual market demand for nondestructive detection of vegetables quality and safety, combined with the heterogeneity of quality and safety parameters such as pesticide residues on leaf vegetables surface and to realize the automatic point scanning for the whole leaf vegetables samples, a suction device based on laboratory (self-designed) Raman spectroscopy hardware and a GUI application software based on the LabVIEW development platform were developed. This system can test the Raman spectroscopy of the whole spinach including the automatic collection, display and storage of the Raman signal of all the scanned points by set up different scan step. A new method to remove the Raman spectrum background was proposed based on data replacement with linear equation at the range of threshold spectrum on both sides of the effective peaks according to the characteristics of spinach original spectra. Its principle is to determine the starting position of linear fitting by judging whether there is trough on both sides of the crest, and then to generate and replace the original spectra data in peak position through the linear fitting equation. Spinach samples were used for the experiment showed that the chlorophyll content and distribution of chlorpyrifos pesticide residue on each scanning point can be obtained after scanning. Therefore, the point scanning Raman system could improve detection accuracy of the quality and safety parameters for the non-uniform samples effectively.