Untargeted Metabolomics Analysis for Studying Differences in High-Quality Colombian Cocoa Beans

Area of Science:

• Agricultural Chemistry
• Food Science
• Metabolomics

Background:

• Colombia produces fine cocoa, but exports are mainly ordinary grade.
• National efforts aim to establish quality certification platforms for small producers.
• Identifying specific chemical markers is crucial for distinguishing fine cocoa quality.

Purpose of the Study:

• To identify differential chemical markers in Colombian cocoa beans.
• To associate these markers with cocoa quality properties.
• To explore the potential of metabolomics for fine cocoa characterization.

Main Methods:

• A non-targeted metabolomics approach using Ultra-High-Performance Liquid Chromatography-High-Resolution Mass Spectrometry (UHPLC-HRMS).
• Sensory, physicochemical, and physical analyses of 36 cocoa bean samples from five Colombian departments.
• Multivariate and univariate statistical analyses to identify discriminant metabolites.

Main Results:

• No significant differences were found in sensory quality, polyphenol content, or theobromine/caffeine ratio among samples.
• Multivariate analysis revealed four distinct clusters based on chemical profiles and physical properties.
• Discriminant metabolites included alkaloids, flavonoids, terpenoids, peptides, quinolines, and sulfur compounds.

Conclusions:

• Metabolic profiling is a key chemical feature for differentiating cocoa bean groups.
• These findings support the use of metabolomics in quality control for fine cocoa.
• This study provides a foundation for more specific characterization of Colombian fine cocoa.