Literature DB >> 30007670

Origin and varietal based proteomic and peptidomic fingerprinting of Theobroma cacao in non-fermented and fermented cocoa beans.

Neha Kumari1, Anne Grimbs1, Roy N D'Souza1, Sujit Kumar Verma1, Marcello Corno2, Nikolai Kuhnert1, Matthias S Ullrich3.   

Abstract

It is well known that the development of chocolate flavor is initiated during cocoa bean fermentation. Storage proteins undergo the most intensive breakdown yielding peptides and free amino acids, which both serve as flavor precursors. A comprehensive analysis of cocoa proteins and oligopeptides of non-fermented and fermented beans from various geographic origins allows the assessment of systematic differences with respect to their origin as well as fermentation status. Protein quantities as well as their profiles derived from two-dimensional gel electrophoresis, showed striking differences for non-fermented beans depending on their geographical origin. From fermented beans, oligopeptides were relatively quantified by utilizing UHPLC-ESI-Q-q-TOF and annotated based on their characteristic fragmentation pattern in the positive-ion mode. With >800 unique oligopeptides, excluding di- and tri-peptides, across 25 different samples, we are herein reporting on the largest collection of cocoa oligopeptides ever observed and identified. The detected diversity of peptides could not be correlated to the geographical origin but rather to the degree of fermentation. Our findings suggest that the variability in peptide patterns depends on the fermentation method applied in the country of origin ultimately indicating diversified proteolytic activities. Furthermore, our results showed that well-fermented and fair-fermented beans can be differentiated from partially fermented and under-fermented ones by higher numbers and total amounts of oligopeptides.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Keywords:  Fermentation degree; Geographic origin; Oligopeptides; Protein content; Theobroma cacao; UHPLC- ESI-MS/MS

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Year:  2018        PMID: 30007670     DOI: 10.1016/j.foodres.2018.05.010

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  4 in total

1.  Cocoa bean fingerprinting via correlation networks.

Authors:  Santhust Kumar; Roy N D'Souza; Marcello Corno; Matthias S Ullrich; Nikolai Kuhnert; Marc-Thorsten Hütt
Journal:  NPJ Sci Food       Date:  2022-01-24

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

3.  Use of molecular networking to identify 2,5-diketopiperazines in chocolates as potential markers of bean variety.

Authors:  Amandine André; Bettina Casty; Lisa Ullrich; Irene Chetschik
Journal:  Heliyon       Date:  2022-09-27

4.  Simulated Gastrointestinal Digestion of Cocoa: Detection of Resistant Peptides and In Silico/In Vitro Prediction of Their Ace Inhibitory Activity.

Authors:  Angela Marseglia; Luca Dellafiora; Barbara Prandi; Veronica Lolli; Stefano Sforza; Pietro Cozzini; Tullia Tedeschi; Gianni Galaverna; Augusta Caligiani
Journal:  Nutrients       Date:  2019-04-30       Impact factor: 5.717

  4 in total

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