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Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques.
Jiang, Zhiwei; Lv, Aimin; Zhong, Lingjiao; Yang, Jingjing; Xu, Xiaowei; Li, Yuchan; Liu, Yuchen; Fan, Qiuju; Shao, Qingsong; Zhang, Ailian.
Afiliación
  • Jiang Z; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.
  • Lv A; Zhejiang Provincial Key Laboratory of Resources Protection and Innovation of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China.
  • Zhong L; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.
  • Yang J; Zhejiang Provincial Key Laboratory of Resources Protection and Innovation of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China.
  • Xu X; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.
  • Li Y; Zhejiang Provincial Key Laboratory of Resources Protection and Innovation of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China.
  • Liu Y; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.
  • Fan Q; Zhejiang Provincial Key Laboratory of Resources Protection and Innovation of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China.
  • Shao Q; Wenzhou Forestry Technology Promotion and Wildlife Protection Management Station, Wenzhou 325027, China.
  • Zhang A; State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China.
Foods ; 12(15)2023 Jul 30.
Article en En | MEDLINE | ID: mdl-37569173
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Foods Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Foods Año: 2023 Tipo del documento: Article País de afiliación: China