Method for qualitative and quantitative determination of key substances in mixture based on terahertz spectrum

US11353396B2 · kind B2 · utility

Assignee

• University of Shanghai for Science and Technology · CN

Inventors

• Yan Peng · Shanghai, CN
• Yiming Zhu · Hefei, CN
• Chenjun Shi · El Monte, US
• Yujian YANG · Shanghai, CN
• Jiayu Zhao · Shanghai, CN
• Zhijia Liu · Shanghai, CN
• Xinyu Tang · Chengdu, CN
• Yang Liu · Iowa City, US
• Lin Guo · Saratoga, US
• Keying LIU · Shanghai, CN
• Songlin Zhuang · Shanghai, CN

Key dates

• Filing date: Jan 9, 2019
• Grant date: Jun 7, 2022
• Expiry date: Apr 9, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/10
• WIPO field: Measurement
• WIPO sector: Instruments

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.