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Component Quantitative Analysis Of Mixture System Based On Terahertz Time-domain Spectroscopy

Posted on:2020-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:L L SunFull Text:PDF
GTID:2480306131968639Subject:Instrument Science and Technology
Abstract/Summary:PDF Full Text Request
Terahertz biomedicine is getting more and more concentration,especially in the field of spectral research.Its main difficulty lies in how to achieve accurate component analysis of complex biological system in the presence of water.In this paper,based on the terahertz time-domain spectroscopy and the data-driven model,the application on quantitative analysis is expanded both in aqueous system and solid mixture typically.The main contents of this paper are as follows:1.Introduce the background of this subject.Based on the recent research and shortcomings of terahertz technique in the field of material detection and analysis,the necessity of developing its application is put forward.And the quantitative analysis of mixtures is highlighted.2.Introduce the technical foundation required in this subject.Terahertz time-domain spectrum system is described,as well as the key physical parameters.Besides,multi-scale model is proposed to analyze mixture quantitatively.3.Analyze aqueous system qualitatively and quantitatively based on terahertz spectrum.For the solution of a single solute,linear fitting of absorption coefficient and concentration is carried out.For the mixture of two components,KCl and Na Cl mixed solution is treated as a typical system.The feature information of each component is extracted to establish the multi-scale data-driven quantitative analysis model.4.Analyze solid mixture quantitatively based on terahertz spectrum.Terahertz spectrum data are obtained by the experiments on milk powder,which contains complex components.Then multi-scale data-driven algorithm is used to analyze the solid mixture.
Keywords/Search Tags:Terahertz time-domain spectrum, Data-driven modeling, Quantitative analysis, Mixed solution, Milk powder
PDF Full Text Request
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