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Is it possible to rapidly and noninvasively identify different plants from Asteraceae using electronic nose with multiple mathematical algorithms?
Zou, Hui-Qin; Lu, Gang; Liu, Yong; Bauer, Rudolf; Tao, Ou; Gong, Jian-Ting; Zhao, Li-Ying; Li, Jia-Hui; Ren, Zhi-Yu; Yan, Yong-Hong.
Afiliação
  • Zou HQ; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Lu G; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Liu Y; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Bauer R; Institute of Pharmaceutical Science, University of Graz, Graz, Austria.
  • Tao O; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Gong JT; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Zhao LY; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Li JH; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Ren ZY; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
  • Yan YH; School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
J Food Drug Anal ; 23(4): 788-794, 2015 Dec.
Article em En | MEDLINE | ID: mdl-28911496
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article