Method for Quantitative Monitoring of Substance Content by Raman Spectroscopy

Abstract

The method of Raman spectroscopy quantitatively monitors the content of substances. For various concentrations of monitored substances, the monitoring functions of Euclidean geometry and Riemannian geometry are established, and the corresponding Raman data are calculated respectively, and the characteristics of Raman spectral lines are marked by statistical methods or query methods. Peak; for the characteristic peak shape and type set for multiple Raman data of the same concentration of monitored substances, the characteristic score is calculated through the Z test algorithm and other algorithms, and the Raman data with high probability are screened out based on statistical principles As the final screening data; use the average method to calculate the mean value of the screening data, establish a quantitative correspondence table between the mean value and the concentration, and obtain the concentration and error of the substance with an unknown concentration by querying the quantitative correspondence table; or use the fitting method to match the concentration of the known substance in the correspondence table The Raman data corresponding to the value of the value is the fitting point, and the curve fitting of the controllable error is performed to obtain the fitting equation, so as to realize a more accurate calculation of the concentration value of the unknown concentration monitoring substance. In addition, it also provides the working steps of cloud computing .

Description

technical field [0001] The present invention relates to the field of industrial technology and biomedicine, in particular to the Raman spectrum big data analysis method of medical data and industrial data, especially for the Raman test in the medical field, by establishing the Raman spectrum big data of monitoring substances, the Raman A method for spectroscopic quantitative monitoring of substance content. Background technique [0002] As early as 1928, the Indian scientist C.V. Raman discovered the Raman scattering phenomenon, that is, when a beam of light is irradiated on certain substances, the frequency of the scattered light will change. The last name of the person who discovered it called it a Raman spectrum. Different substances correspond to a unique spectrum with extremely strong resolution, which makes it possible for Raman spectroscopy to be used as an analysis and testing method for the structure of substances. Although C.V. Raman won the Nobel Prize for this ...

AI Technical Summary

Problems solved by technology

[0035] For the industrial field, especially the medical field, under the hardware conditions of the existing Raman spectrometer, due to the interference of fluorescence and other non-monitored substances Raman spectrum, as well as the existence of system errors and measurement errors, artificially pass a one-time single It is difficult to obtain accurate concentration data within the set error range, based on a For the monitored substances with the above concentrations, use the following methods to collect a large number of sample data and calculate the data to form the Raman spectrum big data of the monitored substances, and then analyze and screen the Raman big data through algorithms based on probability statistics theory, and finally Obtain a more accurate quantitative analysis of the concentration of the monitored substance within a controllable allowable error range

Images