Literature DB >> 26907698

A chemical profiling strategy for semi-quantitative analysis of flavonoids in Ginkgo extracts.

Jing Yang1, An-Qi Wang2, Xue-Jing Li1, Xue Fan1, Shan-Shan Yin1, Ke Lan3.   

Abstract

Flavonoids analysis in herbal products is challenged by their vast chemical diversity. This work aimed to develop a chemical profiling strategy for the semi-quantification of flavonoids using extracts of Ginkgo biloba L. (EGB) as an example. The strategy was based on the principle that flavonoids in EGB have an almost equivalent molecular absorption coefficient at a fixed wavelength. As a result, the molecular-contents of flavonoids were able to be semi-quantitatively determined by the molecular-concentration calibration curves of common standards and recalculated as the mass-contents with the characterized molecular weight (MW). Twenty batches of EGB were subjected to HPLC-UV/DAD/MS fingerprinting analysis to test the feasibility and reliability of this strategy. The flavonoid peaks were distinguished from the other peaks with principle component analysis and Pearson correlation analysis of the normalized UV spectrometric dataset. Each flavonoid peak was subsequently tentatively identified by the MS data to ascertain their MW. It was highlighted that the flavonoids absorption at Band-II (240-280 nm) was more suitable for the semi-quantification purpose because of the less variation compared to that at Band-I (300-380 nm). The semi-quantification was therefore conducted at 254 nm. Beyond the qualitative comparison results acquired by common chemical profiling techniques, the semi-quantitative approach presented the detailed compositional information of flavonoids in EGB and demonstrated how the adulteration of one batch was achieved. The developed strategy was believed to be useful for the advanced analysis of herbal extracts with a high flavonoid content without laborious identification and isolation of individual components.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical profiling; Flavonoids; Quality assessment; Semi-quantification

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Year:  2016        PMID: 26907698     DOI: 10.1016/j.jpba.2016.02.017

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  2 in total

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Authors:  Wei Zheng; Fangxu Wang; Yang Zhao; Xinguang Sun; Liping Kang; Ziquan Fan; Lirui Qiao; Renyi Yan; Shuchen Liu; Baiping Ma
Journal:  J Am Soc Mass Spectrom       Date:  2017-08-01       Impact factor: 3.109

2.  Quantitative Characteristics of Toxic Compounds According to the Solvent Type.

Authors:  Young-Ji An; Seong-Jin Choi; Yong-Hyun Kim; Kyuhong Lee
Journal:  J Anal Methods Chem       Date:  2019-04-30       Impact factor: 2.193

  2 in total

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