Literature DB >> 24679756

Application of 1H NMR for the characterisation of cocoa beans of different geographical origins and fermentation levels.

Augusta Caligiani1, Luigi Palla2, Domenico Acquotti3, Angela Marseglia4, Gerardo Palla4.   

Abstract

This study reports for the first time the use of (1)H NMR technique combined with chemometrics to study the metabolic profile of cocoa (Theobroma cacao L.) beans of different varieties, origin and fermentation levels. Results of PCA applied to cocoa bean (1)H NMR dataset showed that the main factor influencing the cocoa bean metabolic profile is the fermentation level. In fact well fermented brown beans form a group clearly separated from unfermented, slaty, and underfermented, violet, beans, independently of the variety or geographical origin. Considering only well fermented beans, the metabolic profile obtained by (1)H NMR permitted to discriminate between some classes of samples. The National cocoa of Ecuador, known as Arriba, showed the most peculiar characteristics, while the samples coming from the African region showed some similar traits. The dataset obtained, representative of all the classes of soluble compounds of cocoa, was therefore useful to characterise fermented cocoa beans as a function of their origin and fermentation level.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  (1)H NMR; Cocoa beans; Fermentation level; Geographical origin; Metabolic profile; PCA; Variety

Mesh:

Year:  2014        PMID: 24679756     DOI: 10.1016/j.foodchem.2014.01.116

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Effect of cacao bean quality grade on cacao quality evaluation by cut test and correlations with free amino acids and polyphenols profiles.

Authors:  Germaine Audrey Ngouambe Tchouatcheu; Alexandre Mboene Noah; Reinhard Lieberei; Nicolas Niemenak
Journal:  J Food Sci Technol       Date:  2019-04-08       Impact factor: 2.701

2.  Exploring cocoa bean fermentation mechanisms by kinetic modelling.

Authors:  Mauricio Moreno-Zambrano; Matthias S Ullrich; Marc-Thorsten Hütt
Journal:  R Soc Open Sci       Date:  2022-02-16       Impact factor: 2.963

  2 in total

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