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Authentication and discrimination of green tea samples using UV–vis, FTIR and HPLC techniques coupled with chemometrics analysis.

Authors :
Aboulwafa, Maram M.
Youssef, Fadia S.
Gad, Haidy A.
Sarker, Satyajit D.
Nahar, Lutfun
Al-Azizi, Mohamed M.
Ashour, Mohamed L.
Source :
Journal of Pharmaceutical & Biomedical Analysis. Feb2019, Vol. 164, p653-658. 6p.
Publication Year :
2019

Abstract

Highlights • Quality of green tea from the biggest tea producing Asian countries was assessed. • Simple UV–vis, FTIR and HPLC and chemometrics were employed. • PCA based on UV data successfully divided samples into informative clusters. • SIMCA and PLS-DA models showed a good separation between South and East Asia tea. • Antioxidant activity of all samples were determined using DPPH assay. Abstract Green tea is a popular beverage consumed worldwide. Its quality should be controlled adequately as the quality is influenced by several factors in addition to adulterations. This study aimed to develop a simple method for assessing the quality of green tea samples obtained from the South and the East Asian regions. The UV–vis, FTIR and HPLC data from 38 samples were subjected to multivariate analyses using the unsupervised recognition techniques comprising Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA). The model for their authentication was constructed and validated by applying the supervised recognition techniques as Soft Independent Modeling of Class Analogy (SIMCA) and Partial Least Square Discriminant Analysis (PLS-DA). The percentages of caffeine in the identified samples were determined using a validated HPLC assay in addition to in vitro determination of their antioxidant activity using DPPH radical-scavenging capacity assay. HCA and PCA based on UV data successfully distributed the tested samples into informative clusters. However, that obtained from visible data could only differentiate samples with respect to their powdered condition. On the contrary, PCA from FTIR and HPLC data could hardly discriminate any of the samples. The models constructed using SIMCA and PLS-DA showed a good class separation between the South and the East Asian samples. The percentages of caffeine in the identified samples and the IC 50 in DPPH assay are greatly diverse among all the tested samples. Thus, UV spectroscopy and chemometrics have provided a simple and quick tool for the quality control of commercial green tea samples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07317085
Volume :
164
Database :
Academic Search Index
Journal :
Journal of Pharmaceutical & Biomedical Analysis
Publication Type :
Academic Journal
Accession number :
133580234
Full Text :
https://doi.org/10.1016/j.jpba.2018.11.036