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J Agric Food Chem


Title:Chemometric Modeling of Coffee Sensory Notes through Their Chemical Signatures: Potential and Limits in Defining an Analytical Tool for Quality Control
Author(s):Bressanello D; Liberto E; Cordero C; Sgorbini B; Rubiolo P; Pellegrino G; Ruosi MR; Bicchi C;
Address:"Dipartimento di Scienza e Tecnologia del Farmaco , Universita degli Studi di Torino , Via Pietro Giuria 9 , 10125 Torino , Italy. Lavazza S.p.A. , Strada Settimo 410 , 10156 Torino , Italy"
Journal Title:J Agric Food Chem
Year:2018
Volume:20180627
Issue:27
Page Number:7096 - 7109
DOI: 10.1021/acs.jafc.8b01340
ISSN/ISBN:1520-5118 (Electronic) 0021-8561 (Linking)
Abstract:"Aroma is a primary hedonic aspect of a good coffee. Coffee aroma quality is generally defined by cup tasting, which however is time-consuming in terms of panel training and alignment and too subjective. It is challenging to define a relationship between chemical profile and aroma sensory impact, but it might provide an objective evaluation of industrial products. This study aimed to define the chemical signature of coffee sensory notes, to develop prediction models based on analytical measurements for use at the control level. In particular, the sensory profile was linked with the chemical composition defined by HS-SPME-GC-MS, using a chemometric-driven approach. The strategy was found to be discriminative and informative, identifying aroma compounds characteristic of the selected sensory notes. The predictive ability in defining the sensory scores of each aroma note was used as a validation tool for the chemical signatures characterized. The most reliable models were those obtained for woody, bitter, and acidic properties, whose selected volatiles reliably represented the sensory note fingerprints. Prediction models could be exploited in quality control, but compromises must be determined if they are to become complementary to panel tasting"
Keywords:"Coffee/*chemistry Food Quality Gas Chromatography-Mass Spectrometry Humans *Models, Chemical Odorants/*analysis Principal Component Analysis Quality Control Reproducibility of Results Solid Phase Microextraction *Taste Volatile Organic Compounds/analysis;"
Notes:"MedlineBressanello, Davide Liberto, Erica Cordero, Chiara Sgorbini, Barbara Rubiolo, Patrizia Pellegrino, Gloria Ruosi, Manuela R Bicchi, Carlo eng 2018/06/14 J Agric Food Chem. 2018 Jul 11; 66(27):7096-7109. doi: 10.1021/acs.jafc.8b01340. Epub 2018 Jun 27"

 
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