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农畜产品安全无损检测扫描式拉曼光谱成像系统设计
引用本文:翟晨,彭彦昆,Chao Kuanglin,赵娟,李永玉,李延.农畜产品安全无损检测扫描式拉曼光谱成像系统设计[J].农业机械学报,2016,47(12):279-284.
作者姓名:翟晨  彭彦昆  Chao Kuanglin  赵娟  李永玉  李延
作者单位:中国农业大学,中国农业大学,美国农业部环境微生物与食品安全实验室,中国农业大学,中国农业大学,中国农业大学
基金项目:国家重点研发计划项目(2016YFD0400905)
摘    要:构建了用于农畜产品安全检测的扫描式拉曼光谱成像检测系统,对其硬件和软件分别进行了搭建和设计,实现了拉曼光谱和图像同步获取。根据检测的实际需求和精度要求确定了检测系统中拉曼成像光谱仪、CCD相机、镜头、激光光源、移动平移台等主要元器件。开发了拉曼光谱成像检测系统实时检测与分析软件。软件以Lab View为主开发环境,实现了对CCD相机、激光光源等硬件的控制,利用Lab View与Matlab混合编程,完成数据的提取、分析计算与结果保存,通过Lab View与ENVI的混合编程,完成扫描线图像的实时合成和显示。对系统进行了安装和性能测试,光谱校正确定了CCD相机探测的拉曼光谱范围为-679.3~2 885.7 cm-1,空间校正确定了系统实际的空间分辨率为0.22 mm/像素。构建的拉曼光谱成像检测系统可快速、无损获取样品拉曼光谱和图像信息。

关 键 词:农畜产品  无损检测  拉曼光谱成像系统  设计
收稿时间:2016/10/18 0:00:00

Design of Line-scan Raman Imaging System for Nondestructive Detection of Agricultural and Livestock Products Safety
Zhai Chen,Peng Yankun,Chao Kuanglin,Zhao Juan,Li Yongyu and Li Yan.Design of Line-scan Raman Imaging System for Nondestructive Detection of Agricultural and Livestock Products Safety[J].Transactions of the Chinese Society of Agricultural Machinery,2016,47(12):279-284.
Authors:Zhai Chen  Peng Yankun  Chao Kuanglin  Zhao Juan  Li Yongyu and Li Yan
Institution:China Agricultural University,China Agricultural University,Department of Environmental Microbiology and Food Safety, US Department of Agriculture,China Agricultural University,China Agricultural University and China Agricultural University
Abstract:The scanning Raman imaging detection system was constructed, and the Raman spectrum and Raman image can be acquired. In accordance with the actual needs and the detection accuracy, the Raman imaging spectrometer, CCD cameras, lenses, laser light, mobile translation stage and other major components were selected. The real-time detection and analysis software of the Raman imaging detection system was developed by using LabView programming. The detection software interface was designed by applying modular and integrated design ideas to the LabView-based software development environment. By using the software, the CCD camera, laser light source and mobile translation stage controls, parameter settings and hardware detection state monitoring can be achieved, real-time collection and display of synthetic Raman image of test sample and Raman spectral curve dynamic display can also be completed. Data acquisition, analysis and calculation results saving were completed by using Matlab algorithms in LabView. The image synthesis and real-time display were completed using ENVI programming in LabView. One-button operation design was used for the software and it had the advantages of simple interface, easy operation and software portability. By combining with the software, the hardware detection system can totally meet the requirement of real-time analysis and application. Then, the system was installed and its performance was tested. The corrected spectral CCD camera can detect the Raman spectral range of -679.3~2885.7cm-1. The system ensured the actual spatial resolution was 0.22mm/pixel via space calibration, stability of test performed well, and Raman images acquisition can be achieved.
Keywords:agricultural and livestock products  nondestructive detection  Raman imaging system  design
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