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Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning.
Ye, Sitan; Weng, Haiyong; Xiang, Lirong; Jia, Liangquan; Xu, Jinchai.
Affiliation
  • Ye S; School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
  • Weng H; Fujian Key Laboratory of Agricultural Information Sensoring Technology, College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Xiang L; School of Future Technology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
  • Jia L; Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, NC 27606, USA.
  • Xu J; School of Information Engineering, Huzhou University, Huzhou 313000, China.
Molecules ; 28(14)2023 Jul 13.
Article in En | MEDLINE | ID: mdl-37513250
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectroscopy, Near-Infrared / Polyphenols Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectroscopy, Near-Infrared / Polyphenols Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Molecules Journal subject: BIOLOGIA Year: 2023 Document type: Article Country of publication: