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Title:
METHOD FOR IMPROVING MIXTURE COMPONENT IDENTIFICATION PRECISION BY USING RAMAN SPECTRA OF KNOWN MIXTURES
Document Type and Number:
WIPO Patent Application WO/2021/232757
Kind Code:
A1
Abstract:
A method for improving the mixture component identification precision by using Raman spectra of known mixtures, relating to the technical field of Raman spectra. A first similarity between a Raman spectrum feature vector group to be tested and a pure substance Raman spectrum feature vector group of an nth pure substance in a Raman spectrum standard library is calculated; calculation is performed by using a known mixture library to obtain second similarities between the Raman spectrum feature vector group of a substance to be subjected to identification and spectrum peak feature vector groups, which carry offset information, of corresponding pure substances in known mixtures, and the similarity between a mixture to be tested and the nth pure substance is determined according to the first similarity and all the second similarities; and component identification results are obtained thereby. The known mixture library is used for assisting the Raman spectrum standard library in performing assisted searching, and compared with a policy of performing a search by only using a pure substance library, the application of the known mixtures effectively compensates for the interference caused by an offset phenomenon, and can effectively help improve the identification precision of the substance to be subjected to identification.

Inventors:
ZHU QIBING (CN)
JI MINGQIANG (CN)
HUANG MIN (CN)
GUO YA (CN)
Application Number:
PCT/CN2020/135144
Publication Date:
November 25, 2021
Filing Date:
December 10, 2020
Export Citation:
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Assignee:
UNIV JIANGNAN (CN)
International Classes:
G01N21/65
Foreign References:
CN110243806A2019-09-17
CN104458693A2015-03-25
CN108780047A2018-11-09
CN108398416A2018-08-14
CN109557071A2019-04-02
CN109738413A2019-05-10
JP2014153098A2014-08-25
Attorney, Agent or Firm:
WUXI HUAYUAN PATENT AND TRADEMARK AGENCY (GENERAL PARTNERSHIP) (CN)
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