4.7 Article

Characterization and Classification of Cocoa Bean Shells from Different Regions of Venezuela Using HPLC-PDA-MS/MS and Spectrophotometric Techniques Coupled to Chemometric Analysis

Journal

FOODS
Volume 10, Issue 8, Pages -

Publisher

MDPI
DOI: 10.3390/foods10081791

Keywords

cocoa bean shell; fingerprint; polyphenols; methylxanthines; HPLC-PDA-MS; MS; spectrophotometric screening assays; principal component analysis; chemical markers; traceability; antioxidant capacity

Funding

  1. COVALFOOD Valorisation of high added-value com-pounds from cocoa industry by-products as food ingredients and additives
  2. European Union's Seventh Framework programme for research and innovation under the Marie Sklodowska-Curie grant [609402-2020]

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This study aimed to define the chemical fingerprint of cocoa bean shells obtained from diverse cultivars and geographical areas of Venezuela, identifying 39 compounds and key cocoa markers for classification. The study found that both methodologies used were suitable for classifying cocoa bean shells with a high correlation between datasets.
The cocoa bean shell (CBS) is one of the main cocoa byproducts with a prospective to be used as a functional food ingredient due to its nutritional and sensory properties. This study aims to define the chemical fingerprint of CBSs obtained from cocoa beans of diverse cultivars and collected in different geographical areas of Venezuela assessed using high-performance liquid chromatography coupled to photodiodes array and mass spectrometry (HPLC-PDA-MS/MS) and spectrophotometric assays combined with multivariate analysis for classification purposes. The study provides a comprehensive fingerprint and quantitative data for 39 compounds, including methylxanthines and several polyphenols, such as flavan-3-ols, procyanidins, and N-phenylpropenoyl amino acids. Several key cocoa markers, such as theobromine, epicatechin, quercetin-3-O-glucoside, procyanidin_A pentoside_3, and N-coumaroyl- L-aspartate_2, were found suitable for the classification of CBS according to their cultivar and origin. Despite the screening methods required a previous purification of the sample, both methodologies appear to be suitable for the classification of CBS with a high correlation between datasets. Finally, preliminary findings on the identification of potential contributors for the radical scavenging activity of CBS were also accomplished to support the valorization of this byproduct as a bioactive ingredient in the production of functional foods.

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