The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 07, 2022

Filed:

Jan. 09, 2019
Applicant:

University of Shanghai for Science and Technology, Shanghai, CN;

Inventors:

Yan Peng, Shanghai, CN;

Yiming Zhu, Shanghai, CN;

Chenjun Shi, Shanghai, CN;

Yujian Yang, Shanghai, CN;

Jiayu Zhao, Shanghai, CN;

Zhijia Liu, Shanghai, CN;

Xinyu Tang, Shanghai, CN;

Yang Liu, Shanghai, CN;

Lin Guo, Shanghai, CN;

Keying Liu, Shanghai, CN;

Songlin Zhuang, Shanghai, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 21/3586 (2014.01); G06N 5/04 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G01N 21/3586 (2013.01); G06N 5/04 (2013.01); G06N 20/10 (2019.01);
Abstract

Disclosed is a method for qualitative and quantitative determination of key substances in mixture based on terahertz spectrum. Terahertz spectrum of a reference mixture is trained through an SVR algorithm, and predicting parameters of key substances in the mixture to be determined after a model is generated. According to the method, an initial pure spectrum corresponding to each composition in the mixture does not need to be separately determined, no limitation on the number of samples contained in the mixture, and no limitation on frequency range to be determined, and the proportion requirement of the mixture in the early test stage is not limited, and the SVR model does not need to be re-trained after a database is formed in the later stage, and the result can be obtained immediately after the spectrum of item to be determined is introduced into the algorithm model.


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