An efficient method for qualitation and quantitation of multi-components of the herbal medicine Qingjin Yiqi Granules.
J Pharm Biomed Anal
; 227: 115288, 2023 Apr 01.
Article
in English
| MEDLINE | ID: covidwho-2237238
ABSTRACT
Qingjin Yiqi Granules (QJYQ) is a Traditional Chinese Medicines (TCMs) prescription for the patients with post-COVID-19 condition. It is essential to carry out the quality evaluation of QJYQ. A comprehensive investigation was conducted by establishing deep-learning assisted mass defect filter (deep-learning MDF) mode for qualitative analysis, ultra-high performance liquid chromatography and scheduled multiple reaction monitoring method (UHPLC-sMRM) for precise quantitation to evaluate the quality of QJYQ. Firstly, a deep-learning MDF was used to classify and characterize the whole phytochemical components of QJYQ based on the mass spectrum (MS) data of ultra-high performance liquid chromatography quadrupole time of flight tandem mass spectrometry (UHPLC-Q-TOF/MS). Secondly, the highly sensitive UHPLC-sMRM data-acquisition method was established to quantify the multi-ingredients of QJYQ. Totally, nine major types of phytochemical compounds in QJYQ were intelligently classified and 163 phytochemicals were initially identified. Furthermore, fifty components were rapidly quantified. The comprehensive evaluation strategy established in this study would provide an effective tool for accurately evaluating the quality of QJYQ as a whole.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Plants, Medicinal
/
Drugs, Chinese Herbal
/
COVID-19
Type of study:
Diagnostic study
/
Experimental Studies
/
Qualitative research
Topics:
Long Covid
/
Traditional medicine
Limits:
Humans
Language:
English
Journal:
J Pharm Biomed Anal
Year:
2023
Document Type:
Article
Affiliation country:
J.jpba.2023.115288
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