Issue 8, 2012
From the journal:

Analytical Methods

Metabolomics of four TCM herbal products: application of HPTLC analysis†

Olumuyiwa L. Ogegbo,*a   Saron Eyob,a   Snehal Parmar,a   Zheng-Tao Wangab  and  S. W. Annie Bligha  

* Corresponding authors

a Plantalysis, Institute for Health Research and Policy, London Metropolitan University, 166-220 Holloway Road, London, UK
E-mail: o.ogegbo@londonmet.ac.uk
Fax: +44 (0)2071332096
Tel: +44 (0)2071334043

b Key Laboratory of Standardization of Chinese Medicines of Ministry of Education, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, PR China

Abstract

This metabolomics study involves the multivariate analysis (MVA) of the HPTLC fingerprints of non-polar phyto-chemicals in four popular medicinal herbs' dried roots ‘radix’ (Aster tataricus, Atractylodes lancea, Gentiana rigescens and Gentiana macrophylla). These herbal products have been and are still being used in traditional Chinese medicine for treating many ailments. The extraction of these non-polar phyto-chemicals was carried out using petroleum ether and analysed by HPTLC using a developing solvent mixture of toluene–ethyl acetate (15 : 1). Three main MVAs were employed for statistical data exploration: Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA) and orthogonal PLS-DA. The model score plot results showed that all three MVAs showed very good spatial distributions with clear clusters/grouping of each herb. Also, statistically, all three models had high reproducibility and predictivity values (≫0.5). In conclusion, HPTLC with its simplicity and robustness should be explored in the application of MVA.

Graphical abstract: Metabolomics of four TCM herbal products: application of HPTLC analysis

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Article information

DOI
https://doi.org/10.1039/C2AY25373A
Article type
Paper
Submitted
08 Feb 2012
Accepted
04 May 2012
First published
09 May 2012

Anal. Methods, 2012,4, 2522-2527

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Metabolomics of four TCM herbal products: application of HPTLC analysis

O. L. Ogegbo, S. Eyob, S. Parmar, Z. Wang and S. W. Annie Bligh, Anal. Methods, 2012, 4, 2522 DOI: 10.1039/C2AY25373A

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