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A gradient-based discriminant analysis method for process quality control of carbonized TCM via Fourier transform near infrared spectroscopy: A case study on carbonized Typhae Pollen.
Ming-Liang, Gao; Yi, Zhang; Fang-Fang, Cheng; Hang-Hang, Wang; Ling-Run, Liu; Xin, Jin; Ya-Nan, Zhou; Tian-Shu, Wang; Pei-Dong, Chen; Wei-Feng, Yao; Bei-Hua, Bao; Li, Zhang.
Afiliación
  • Ming-Liang G; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Yi Z; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Fang-Fang C; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Hang-Hang W; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Ling-Run L; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Xin J; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Ya-Nan Z; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Tian-Shu W; School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, PR China. Electronic address: wangtianshu@njucm.edu.cn.
  • Pei-Dong C; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Wei-Feng Y; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
  • Bei-Hua B; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China. Elect
  • Li Z; Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing 210023, PR China.
Spectrochim Acta A Mol Biomol Spectrosc ; 265: 120363, 2022 Jan 15.
Article en En | MEDLINE | ID: mdl-34562862
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Texto completo: 1 Bases de datos: MEDLINE Medicinas Tradicionales: Medicinas_tradicionales_de_asia / Medicina_china Asunto principal: Espectroscopía Infrarroja Corta / Medicina Tradicional China Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Año: 2022 Tipo del documento: Article
Texto completo
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XML
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Texto completo: 1 Bases de datos: MEDLINE Medicinas Tradicionales: Medicinas_tradicionales_de_asia / Medicina_china Asunto principal: Espectroscopía Infrarroja Corta / Medicina Tradicional China Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Año: 2022 Tipo del documento: Article