1. Multi-block classification of chocolate and cocoa samples into sensory poles.
- Author
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Biancolillo A, Preys S, Gaci B, Le-Quere JL, Laboure H, Deuscher Z, Cheynier V, Sommerer N, Fayeulle N, Costet P, Hue C, Boulanger R, Alary K, Lebrun M, Christine Lahon M, Morel G, Maraval I, Davrieux F, and Roger JM
- Subjects
- Chromatography, High Pressure Liquid, Food Analysis statistics & numerical data, Gas Chromatography-Mass Spectrometry methods, Humans, Least-Squares Analysis, Mass Spectrometry methods, Polyphenols analysis, Solid Phase Microextraction, Spectrometry, Fluorescence, Spectroscopy, Near-Infrared, Taste, Cacao chemistry, Chocolate analysis, Chocolate classification, Food Analysis methods
- Abstract
The present study aims at developing an analytical methodology which allows correlating sensory poles of chocolate to their chemical characteristics and, eventually, to those of the cocoa beans used for its preparation. Trained panelists investigated several samples of chocolate, and they divided them into four sensorial poles (characterized by 36 different descriptors) attributable to chocolate flavor. The same samples were analyzed by six different techniques: Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS), Solid Phase Micro Extraction-Gas Chromatography-Mass Spectroscopy (SPME-GC-MS), High-Performance Liquid Chromatography (HPLC) (for the quantification of eight organic acids), Ultra High Performance Liquid Chromatography coupled to triple-quadrupole Mass Spectrometry (UHPLC-QqQ-MS) for polyphenol quantification, 3D front face fluorescence Spectroscopy and Near Infrared Spectroscopy (NIRS). A multi-block classification approach (Sequential and Orthogonalized-Partial Least Squares - SO-PLS) has been used, in order to exploit the chemical information to predict the sensorial poles of samples. Among thirty-one test samples, only two were misclassified., (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Published
- 2021
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