Research On Key Technologies Of Handheld Raman Rapid Detection Instrument

With the advancement of science and technology,Raman spectroscopy has not only been applied in the field of laboratory research,but also in the field of food,safety,life sciences and jewelry identification.The development of handheld Raman detectors will help Raman spectroscopy to be more widely used and more convenient.However,there are still some key technical problems of handheld Raman detectors,such as the large size of the detector,the long time-consuming process and the cumbersome steps,which are not conducive to promotion,only qualitative analysis of the detected substances.The quantitative analysis is more difficult,and the resolution of the micro Raman spectrometer is low.These problems restrict the development of the handheld Raman fast detector.Therefore,based on the research of the portable Raman fast tester in the early stage of the research group,this paper studies and designs the key technologies of the handheld Raman fast tester.This paper mainly includes research on key technologies such as miniaturization of hand-held Raman detectors,intelligent detection of automatic integration,and quantitative analysis of conventional Raman detection.The main work of this paper includes the following points:(1)According to the performance indicators and functional requirements of the handheld Raman fast tester,the overall design is carried out.The hardware uses a separate dual-CPU,dual-system design,focusing on hardware integration,modularization and miniaturization design,using miniature spectrometers and core boards to reduce hardware size.The software is developed using the B/S architecture,and the corresponding functions are designed and implemented.(2)The automatic integration algorith:m is studied,and an automatic integration algorithm based on simple fuzzy rules for dynamic PI control is proposed.By using this algorithm,Raman signal acquisition for any sample can be realized,ensuring that the sample Raman peak is not "submerged" by noise due to too weak signal or overflow due to too strong signal,and the algorithm is verified by experimental analysis.feasibility.The algorithm eliminates the manual manual adjustment of the integral parameters,shortens the detection time,reduces the miss detection rate of the sample,improves the Raman spectral signal-to-noise ratio of the sample,realizes adaptive spectrum acquisition,and has a fast convergence rate.(3)The quantitative analysis algorithm of Raman detection is studied.Taking the quantitative analysis of ethanol solution as an example,a nonlinear multi-peak quantitative method is proposed.After the baseline calibration algorithm is processed,the effect of background on the spectrum is deducted,and the peak intensity is transformed.The influence of different integration time on the spectral data is overcome.By establishing the quantitative analysis model of three ethanol solutions,the prediction of nonlinear quantitative model is obtained.The ability is better than the linear model,and the cubic curve model is better than the quadratic curve model.The prediction results of multiple characteristic peaks are combined,and the averaging is performed after the outliers are excluded as the final quantitative analysis result.It has high versatility and can be extended to the quantitative analysis of other conventional Raman materials.It is of great significance to promote the application of Raman spectroscopy in quantitative analysis.