Jump to main content
Jump to site search

Issue 10, 2014
Previous Article Next Article

Which spectroscopic technique allows the best differentiation of coffee varieties: comparing principal component analysis using data derived from CD-, NMR- and IR-spectroscopies and LC-MS in the analysis of the chlorogenic acid fraction in green coffee beans

Author affiliations

Abstract

In this contribution we have analysed aqueous methanolic extracts of a total of 38 green bean coffee samples, which vary in terms of the coffee variety and processing conditions. We have characterised these extracts using NMR-, IR- and CD-spectroscopies along with LC-MS. All spectroscopic data have been analysed by principal component analysis (PCA) using different PCA processing parameters by an unsupervised non-targeted approach. We could show that the distinction between different groups of samples, in particular, Arabica versus Robusta green coffee beans can be successfully analysed by IR-spectroscopy and LC-MS. Surprisingly both CD- and NMR-spectroscopies fail to achieve, in this case, an adequate level of distinction. This is, to the best of our knowledge, the first study that directly compares the value of various spectroscopic techniques if multivariant statistical techniques are employed to them.

Graphical abstract: Which spectroscopic technique allows the best differentiation of coffee varieties: comparing principal component analysis using data derived from CD-, NMR- and IR-spectroscopies and LC-MS in the analysis of the chlorogenic acid fraction in green coffee beans

Back to tab navigation

Article information


Submitted
06 Nov 2013
Accepted
07 Feb 2014
First published
07 Feb 2014

Anal. Methods, 2014,6, 3268-3276
Article type
Paper

Which spectroscopic technique allows the best differentiation of coffee varieties: comparing principal component analysis using data derived from CD-, NMR- and IR-spectroscopies and LC-MS in the analysis of the chlorogenic acid fraction in green coffee beans

S. Deshpande, R. M. El-Abassy, R. Jaiswal, P. Eravuchira, B. von der Kammer, A. Materny and N. Kuhnert, Anal. Methods, 2014, 6, 3268
DOI: 10.1039/C3AY41970C

Social activity

Search articles by author

Spotlight

Advertisements