Design Of Portable Raman Rapid Detector Based On PERS

The rapid detection for food safety detection,environmental pollution detection,drug detection,detection of chemical warfare agents and other areas requirements for portable,fast and accurate detection equipment.The current conventional laboratory testing methods can achieve accrate detection,but it is poor for real-time detection,it can not meet the requirements of the rapid detection.Therefore,this paper has designed the portable rapid detector based on plasmon-enhanced Raman spectroscopy,can achieve rapid qualitative detection of illegal food additives,pesticide residues,drugs,chemical warfare agents and water pollution and other harmful substances.In this paper,based on the analysis of the functional requirements and performance indexes of Raman spectroscopy rapid detection system,a Raman spectrum rapid detection system composed of fast detector terminal,cloud server and external pretreatment device is proposed.Detector terminal is the most important in the system.Then put forward the embedded hardware and software platform based on the rapid detector terminal design,and to achieve the test.Based on the analysis of the functional requirements and performance indexes of the Raman spectroscopy rapid detection system,this paper designs a Raman spectrum rapid detection system composed of the rapid detector terminal and the cloud server side,and develops the UI interface of the rapid detector,An improved reverse matching algorithm is proposed,and a standard database of Raman spectra can be used to enhance the semi-quantitative detection of Raman spectroscopy.The rapid identification of Raman spectra is realized.The main contents are as follows:(1)Based on the ARM embedded system development,the micro-Raman spectrometer is used as the data acquisition unit,and the hardware structure of the rapid detector terminal is designed and built.Based on the QT development environment,building the human-computer interface program,the spectrometer and other device drivers,etc.Achieved a rapid detection of Raman spectrum data acquisition,automatic calibration,rapid identification and automatic data upload and other functions;(2)In order to solve the problem of similarity of peak intensity,the strong peaks are easy to cover the weak peaks,we designed the peak weight curves of the peaks.The weights of the strong and weak characteristic peaks are balanced by this curve.(3)For the semi-quantitative problem,the enhanced Raman spectroscopy can not be quantitatively detected.According to the difference of the number of peaks between the enhanced Raman spectra of different concentrations of materials,a special multi-concentration standard database is designed to achieve a certain degree Semi-quantitative detection;(4)In view of the weak computing performance of the embedded device,the GPU hardware acceleration is designed to improve the computational speed of a large number of floating-point operations in the identification algorithm.Compared with the pure CPU algorithm,the recognition speed is improved by more than 20 times.The prototype was designed and finished.The standard sample was tested and the additives were accurately detected.Finally,several kinds of beverages and food samples on the market were tested.The test results are consistent with the ingredients,with good sensitivity and reproducibility,which met the requirement of rapid detection.