Key molecular compounds for simultaneous origin discrimination and sensory prediction of cocoa: An UHPLC-HRMS sensomics approach.

ABSTRACT

Cocoa-based and chocolate mono-origin products are increasingly gaining market share because they are perceived by consumers as more valuable and high quality. A comprehensive characterization of the sensory profile of a specific geographical area is complex and different analytical and sensorial strategies have been adopted. This study focused on identifying molecular markers capable of discriminating between different origins and, at the same time, predicting their sensory attributes adopting a sensomics approach. The aim is to provide a useful tool for chocolate producers to effectively screen the origins of cocoa, controlling and optimizing the gustative properties and processing flow. An untargeted method was adopted, based on the coupling of UHPLC-HRMS, followed by the application of chemometric tools for the selection of 71 discriminating molecular markers for six origins. These markers, via OPLS-Regressions, also demonstrated a strong global correlation with the sensory descriptors, evaluated by trained assessors, allowing their prediction.