Literature DB >> 34361765

Single Origin Coffee Aroma: From Optimized Flavor Protocols and Coffee Customization to Instrumental Volatile Characterization and Chemometrics.

Panagiota Zakidou1, Fotini Plati1, Anthia Matsakidou1, Evdoxia-Maria Varka2, Georgios Blekas1, Adamantini Paraskevopoulou1.   

Abstract

In this study, the aroma profile of 10 single origin Arabica coffees originating from eight different growing locations, from Central America to Indonesia, was analyzed using Headspace SPME-GC-MS as the analytical method. Their roasting was performed under temperature-time conditions, customized for each sample to reach specific sensory brew characteristics in an attempt to underline the customization of roast profiles and implementation of separate roastings followed by subsequent blending as a means to tailor cup quality. A total of 138 volatile compounds were identified in all coffee samples, mainly furan (~24-41%) and pyrazine (~25-39%) derivatives, many of which are recognized as coffee key odorants, while the main formation mechanism was the Maillard reaction. Volatile compounds' composition data were also chemometrically processed using the HCA Heatmap, PCA and HCA aiming to explore if they meet the expected aroma quality attributes and if they can be an indicator of coffee origin. The desired brew characteristics of the samples were satisfactorily captured from the volatile compounds formed, contributing to the aroma potential of each sample. Furthermore, the volatile compounds presented a strong variation with the applied roasting conditions, meaning lighter roasted samples were efficiently differentiated from darker roasted samples, while roasting degree exceeded the geographical origin of the coffee. The coffee samples were distinguished into two groups, with the first two PCs accounting for 73.66% of the total variation, attributed mainly to the presence of higher quantities of furans and pyrazines, as well as to other chemical classes (e.g., dihydrofuranone and phenol derivatives), while HCA confirmed the above results rendering roasting conditions as the underlying criterion for differentiation.

Entities:  

Keywords:  GC-MS; HCA; HS-SPME; Heatmap; Maillard reaction; PCA; chemometrics; coffee cupping; flavor; geographical origin

Year:  2021        PMID: 34361765     DOI: 10.3390/molecules26154609

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  7 in total

1.  Characterization of the volatile organic compounds produced from green coffee in different years by gas chromatography ion mobility spectrometry.

Authors:  Chen Min; Mai Biyi; Lu Jianneng; Li Yimin; Liu Yijun; Cheng Long
Journal:  RSC Adv       Date:  2022-05-23       Impact factor: 4.036

2.  Analyzing the Effect of Baking on the Flavor of Defatted Tiger Nut Flour by E-Tongue, E-Nose and HS-SPME-GC-MS.

Authors:  Chunbo Guan; Tingting Liu; Quanhong Li; Dawei Wang; Yanrong Zhang
Journal:  Foods       Date:  2022-02-02

Review 3.  Influence of pre-and post-harvest factors on the organoleptic and physicochemical quality of coffee: a short review.

Authors:  Sofía Velásquez; Carlos Banchón
Journal:  J Food Sci Technol       Date:  2022-08-15       Impact factor: 3.117

4.  Comparative Metabolite Profiling and Fingerprinting of Medicinal Cinnamon Bark and Its Commercial Preparations via a Multiplex Approach of GC-MS, UV, and NMR Techniques.

Authors:  Mohamed A Farag; Sally E Khaled; Zeina El Gingeehy; Samir Nabhan Shamma; Ahmed Zayed
Journal:  Metabolites       Date:  2022-07-01

5.  Analysis of Lipids in Green Coffee by Ultra-Performance Liquid Chromatography-Time-of-Flight Tandem Mass Spectrometry.

Authors:  Yijun Liu; Min Chen; Yimin Li; Xingqin Feng; Yunlan Chen; Lijing Lin
Journal:  Molecules       Date:  2022-08-18       Impact factor: 4.927

Review 6.  Metabolomics-Based Approach for Coffee Beverage Improvement in the Context of Processing, Brewing Methods, and Quality Attributes.

Authors:  Mohamed A Farag; Ahmed Zayed; Ibrahim E Sallam; Amr Abdelwareth; Ludger A Wessjohann
Journal:  Foods       Date:  2022-03-18

7.  Volatile Compound Characterization of Coffee (Coffea arabica) Processed at Different Fermentation Times Using SPME-GC-MS.

Authors:  Gustavo Galarza; Jorge G Figueroa
Journal:  Molecules       Date:  2022-03-21       Impact factor: 4.411

  7 in total

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