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Potential antioxidant compounds in Mallotus species fingerprints. Part II: Fingerprint alignment,data analysis and peak identification
Authors:C Tistaert  B Dejaegher  G Chataigné  C Rivière  N Nguyen Hoai  M Chau Van  J Quetin-Leclercq  Y Vander Heyden
Institution:1. Department of Analytical Chemistry and Pharmaceutical Technology, Center for Pharmaceutical Research (CePhaR), Vrije Universiteit Brussel – VUB, Laarbeeklaan 103, B-1090 Brussels, Belgium;2. Analytical Chemistry, Drug Analysis and Pharmacognosy Unit, Université Catholique de Louvain, Avenue E. Mounier 72, B-1200 Brussels, Belgium;3. Institute of Natural Products Chemistry, Vietnamese Academy of Science and Technology, 18 Hoang Quoc Viet Road, Hanoi, Viet Nam
Abstract:Some Mallotus species are commonly used as traditional medicine (TM) ingredients in Vietnam and China, but only a few are studied for their activities. In Part I, high-performance liquid chromatography (HPLC) fingerprints of 39 Mallotus samples (17 species) were developed and, because of the complexity of and the large differences between the samples, it was chosen to analyse the unaligned fingerprints. The peaks, potentially responsible for the antioxidant activity in given Mallotus species, were indicated by the regression coefficients from an orthogonal projections to latent structures (O-PLS) model. In the present study, an in depth discussion on the need for alignment of the Mallotus fingerprints for the indication of the potentially active compounds is made, as well as an experimental analysis and identification of the previously indicated peaks by HPLC–mass spectrometry (HPLC–MS). Additionally, to thoroughly study and discuss the alignment problem, the modelling and prediction of the antioxidant activity of green tea samples based on HPLC fingerprints were also considered.
Keywords:Fingerprints  Alignment  Peak identification  Multivariate calibration
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