HS–SPME–GC–MS combined with machine learning methods for screening volatile quality indicators in Hypericum perforatum L.
Author:
Affiliation:
1. College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
2. Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
Abstract
Funder
Hebei Province Science and Technology Support Program
Publisher
Royal Society of Chemistry (RSC)
Link
http://pubs.rsc.org/en/content/articlepdf/2025/NJ/D4NJ04845H
Reference21 articles.
1. St. John’s Wort (Hypericum perforatum) Products – How Variable Is the Primary Material?
2. Essential Oil Comparison ofHypericum perforatumL. subsp.perforatumand subsp.veronense(Schrank) Ces. from Central Italy
3. Identification of the major constituents of Hypericum perforatum by LC/SPE/NMR and/or LC/MS
4. Flavonoid, tannin and hypericin concentrations in the leaves of St. John’s wort (Hypericum perforatum L.) are affected by UV-B radiation levels
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