Danish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Analytical Methods in Chemistry 2020

Identification and Quality Evaluation of Raw and Processed Asarum Species Using Microscopy, DNA Barcoding, and Gas Chromatography-Mass Spectrometry.

Kun registrerede brugere kan oversætte artikler
Log ind / Tilmeld
Linket gemmes på udklipsholderen
Guangzhe Yao
Wenjuan
Xuhua Huang
Qi Jia
Jiayuan Shen
Yanxu Chang
Huizi Ouyang
Jun He

Nøgleord

Abstrakt

Asarum (Aristolochiaceae) is one of the common herbs used to relieve exterior syndromes. Some volatile components of Asarum which have toxic effect may cause adverse reactions such as headache, general tension, unconsciousness, and respiratory paralysis. Therefore, Asarum is normally processed to reduce such toxicity and adverse effects. The bioactive ingredients contained in different Asarum herbs vary significantly; this variation may be attributed to their differences in species, origins, or processing methods. In this study, 16 batches of Asarum herbs were collected, and their species were identified using DNA barcoding, which is a method for distinguishing plant species, coupled with microscopy. A gas chromatography-mass spectrometry (GC-MS) method for simultaneous determination of 10 compounds was established to evaluate the contents of raw and processed Asarum herbs. Multivariate analysis was then applied to compare different batches of herbs based on the GC-MS data. DNA barcoding identified the herbs as being derived from four sources, and herbs from different origins showed different microscopic features. The results demonstrated that most of the samples were clearly clustered into distinct groups that corresponded to species types. All raw and processed samples were classified by partial least squares discriminant analysis (PLS-DA) based on the 10 analyzed compounds. The findings suggested that safrole and methyleugenol with a variable importance in the project (VIP) > 1 are unique compounds that can be used to differentiate between Asarum species. Safrole, methyleugenol, and 2,6,6-trimethylcyclohepta-2,4-dien-1-one were identified as significant constituents, the presence of which can be used to differentiate between raw and processed Asarum samples. These results indicate that species and processing methods show important effects on the composition of Asarum herbs.

Deltag i vores
facebook-side

Den mest komplette database med medicinske urter understøttet af videnskab

  • Arbejder på 55 sprog
  • Urtekurer, der understøttes af videnskab
  • Urtegenkendelse ved billede
  • Interaktivt GPS-kort - tag urter på stedet (kommer snart)
  • Læs videnskabelige publikationer relateret til din søgning
  • Søg medicinske urter efter deres virkninger
  • Organiser dine interesser og hold dig opdateret med nyhedsundersøgelser, kliniske forsøg og patenter

Skriv et symptom eller en sygdom, og læs om urter, der kan hjælpe, skriv en urt og se sygdomme og symptomer, den bruges mod.
* Al information er baseret på offentliggjort videnskabelig forskning

Google Play badgeApp Store badge