Discrimination of three <i>Angelica</i> herbs using LC-QTOF/MS combined with multivariate analysis.

Ahn, Su-Jin; Kim, Hyung Joo; Lee, Ayoung; Min, Seung-Sik; Kim, Eunmi; Kim, Suncheun

Discrimination of three Angelica herbs using LC-QTOF/MS combined with multivariate analysis.

Ahn, Su-Jin; Kim, Hyung Joo; Lee, Ayoung; Min, Seung-Sik; Kim, Eunmi; Kim, Suncheun.

Afiliación

Ahn SJ; National Forensic Service, Wonju, Republic of Korea.
Kim HJ; National Forensic Service, Wonju, Republic of Korea.
Lee A; National Forensic Service, Wonju, Republic of Korea.
Min SS; National Forensic Service, Wonju, Republic of Korea.
Kim E; National Forensic Service, Wonju, Republic of Korea.
Kim S; National Forensic Service, Wonju, Republic of Korea.

Food Addit Contam Part A Chem Anal Control Expo Risk Assess ; 39(7): 1195-1205, 2022 Jul.

Article en En | MEDLINE | ID: mdl-35486828

Asunto(s)

Angelica; Angelica/química; Cromatografía Líquida de Alta Presión/métodos; Cromatografía Liquida; Espectrometría de Masas/métodos; Análisis Multivariante; Raíces de Plantas/química

Palabras clave

Angelica herbs; mass spectrometry; multivariate analysis; non-targeted analysis; principal component analysis

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Angelica Tipo de estudio: Prognostic_studies Idioma: En Revista: Food Addit Contam Part A Chem Anal Control Expo Risk Assess Asunto de la revista: CIENCIAS DA NUTRICAO Año: 2022 Tipo del documento: Article

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