Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractBlack tea volatiles fingerprinting by comprehensive two-dimensional gas chromatography - Mass spectrometry combined with high concentration capacity sample preparation techniques: Toward a fully automated sensomic assessment    Next AbstractIdentification of biomarkers in the hair of dogs: new diagnostic possibilities in the study and control of visceral leishmaniasis »

J Agric Food Chem


Title:Comprehensive Chemical Fingerprinting of High-Quality Cocoa at Early Stages of Processing: Effectiveness of Combined Untargeted and Targeted Approaches for Classification and Discrimination
Author(s):Magagna F; Guglielmetti A; Liberto E; Reichenbach SE; Allegrucci E; Gobino G; Bicchi C; Cordero C;
Address:"Dipartimento di Scienza e Tecnologia del Farmaco, Universita di Torino , I-10125 Turin, Italy. Department of Computer Science and Engineering, University of Nebraska-Lincoln , Lincoln, Nebraska 68588-0115, United States. Guido Gobino Srl , 10153 Turin, Italy"
Journal Title:J Agric Food Chem
Year:2017
Volume:20170718
Issue:30
Page Number:6329 - 6341
DOI: 10.1021/acs.jafc.7b02167
ISSN/ISBN:1520-5118 (Electronic) 0021-8561 (Linking)
Abstract:"This study investigates chemical information of volatile fractions of high-quality cocoa (Theobroma cacao L. Malvaceae) from different origins (Mexico, Ecuador, Venezuela, Columbia, Java, Trinidad, and Sao Tome) produced for fine chocolate. This study explores the evolution of the entire pattern of volatiles in relation to cocoa processing (raw, roasted, steamed, and ground beans). Advanced chemical fingerprinting (e.g., combined untargeted and targeted fingerprinting) with comprehensive two-dimensional gas chromatography coupled with mass spectrometry allows advanced pattern recognition for classification, discrimination, and sensory-quality characterization. The entire data set is analyzed for 595 reliable two-dimensional peak regions, including 130 known analytes and 13 potent odorants. Multivariate analysis with unsupervised exploration (principal component analysis) and simple supervised discrimination methods (Fisher ratios and linear regression trees) reveal informative patterns of similarities and differences and identify characteristic compounds related to sample origin and manufacturing step"
Keywords:Cacao/*chemistry/classification Cooking Discriminant Analysis Food Handling Gas Chromatography-Mass Spectrometry/*methods Quality Control Seeds/*chemistry/classification South America Volatile Organic Compounds/*chemistry Theobroma cacao L.classification;
Notes:"MedlineMagagna, Federico Guglielmetti, Alessandro Liberto, Erica Reichenbach, Stephen E Allegrucci, Elena Gobino, Guido Bicchi, Carlo Cordero, Chiara eng Evaluation Study 2017/07/07 J Agric Food Chem. 2017 Aug 2; 65(30):6329-6341. doi: 10.1021/acs.jafc.7b02167. Epub 2017 Jul 18"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 26-12-2024