Classification of <i>Angelica</i> species found in various foods using an LC-QTOF/MS-based metabolomics approach-Reference-Cited by-同舟云学术

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Classification of Angelica species found in various foods using an LC-QTOF/MS-based metabolomics approach

Published:2023-06-13 Issue:7 Volume:40 Page:787-796
ISSN:1944-0049
Container-title:Food Additives & Contaminants: Part A
language:en
Short-container-title:Food Additives & Contaminants: Part A

Author:

Ahn Su-Jin¹,Kim Hyung Joo¹,Lee Ayoung¹,Min Seung-sik¹,Kim Suncheun¹

Affiliation:

1. Forensic toxicology division, National Forensic Service, Wonju, Gangwon-do, Republic of Korea

Funder

Ministry of the Interior and Safety

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Toxicology,General Chemistry,General Medicine,Food Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19440049.2023.2220827

Reference24 articles.

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

2. Pigment profiles of Spanish extra virgin olive oils by ultra-high-performance liquid chromatography coupled to high-resolution mass spectrometry

3. Direct analysis real-time–high-resolution mass spectrometry for Triticum species authentication

4. Optimized conditions for the extraction of secondary volatile metabolites in Angelica roots by accelerated solvent extraction

5. Chemistry and health effects of furanocoumarins in grapefruit

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1. Evaluating the Accuracy of Machine Learning Classification Models for Similar Herbal Medicine Using Hyperspectral Imaging;Journal of Biosystems Engineering;2024-05-22

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