Literature DB >> 31725908

A biochemometrics strategy for tracing diuretic components of crude and processed Alisma orientale based on quantitative determination and pharmacological evaluation.

Yi Tao1, Enci Jiang1, Jizhong Yan1, Baochang Cai2.   

Abstract

We proposed a biochemometrics strategy for tracing diuretic components of herbs based on quantitative determination and pharmacological evaluation. First, a sensitive and robust liquid chromatography coupled with tandem mass spectrometry approach was established for simultaneous quantification of six major triterpenoids in crude and salt-processed Alisma orientale. The separation of triterpenoids was achieved on a BEH C18 column with a mobile phase consisting of acetonitrile and water spiked with 0.1% formic acid. Six major triterpenoids were detected by multiple reaction monitoring in the negative ion mode. Glycyrrhetinic acid was used as the internal standard. The approach showed good linearity. Intra- and inter-day precisions were all within 2.9%. The recovery rates of each triterpenoid ranged from 97.9% to 103.2%. The approach was then successfully employed for quantitative analysis of six triterpenoids in ten batches of crude and salt-processed A. orientale. Second, the diuretic effects of crude and salt-processed A. orientale were evaluated in mice. Third, principal component analysis and canonical correlation analysis were used to uncover the relationship between the contents of six major triterpenoids and the diuretic effect of different crude and salt-processed samples. Alisol B, alisol F, and alisol A have a close positive correlation with the diuretic effect.
© 2019 John Wiley & Sons, Ltd.

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Keywords:  UHPLC-MS/MS; biochemometrics; canonical correlation analysis; diuretic effect; salt processed

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Year:  2019        PMID: 31725908     DOI: 10.1002/bmc.4744

Source DB:  PubMed          Journal:  Biomed Chromatogr        ISSN: 0269-3879            Impact factor:   1.902


  1 in total

1.  Changes in Triterpenes in Alismatis rhizoma after Processing Based on Targeted Metabolomics Using UHPLC-QTOF-MS/MS.

Authors:  Mengxiang Dai; Sen Li; Qingxin Shi; Xingliang Xiang; Yuehui Jin; Sha Wei; Lijun Zhang; Min Yang; Chengwu Song; Rongzeng Huang; Shuna Jin
Journal:  Molecules       Date:  2021-12-29       Impact factor: 4.411

  1 in total

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