Literature DB >> 30292366

Attenuated Total Reflectance Fourier Transform Spectroscopy (ATR-FTIR) and chemometrics for discrimination of espresso coffees with different sensory characteristics.

Verônica Belchior1, Bruno Gonçalves Botelho2, Leandro S Oliveira3, Adriana S Franca4.   

Abstract

Coffee cup quality, determined by the sensory attributes evaluated by professional tasters, is a decisive factor for evaluating coffee, with the "Specialty Coffee Association of America" (SCAA) classification being nowadays considered the most suitable. Panels of trained coffee tasters are used by the industry to describe and evaluate beverage quality, but those evaluations can be subjective and time demanding. Recent studies have demonstrated the potential of spectroscopy-based methods for establishing parameters of quality in the analysis of food products, including coffee. Thus, the aim of this study was to evaluate the potential of ATR-FTIR and chemometrics to discriminate espresso coffees with different sensory characteristics reported by a panel of coffee tasters. The results showed good consistency among coffee tasters. PLS-DA models based on spectroscopic data were able to classify samples according to sensory attributes, confirming the potential of FTIR and chemometrics in coffee quality evaluation.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ATR-FTIR; Chemometrics; Espresso coffee; Sensory analysis

Mesh:

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Year:  2017        PMID: 30292366     DOI: 10.1016/j.foodchem.2017.12.026

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

1.  Comparison of Spectroscopy-Based Methods and Chemometrics to Confirm Classification of Specialty Coffees.

Authors:  Verônica Belchior; Bruno G Botelho; Adriana S Franca
Journal:  Foods       Date:  2022-06-04

Review 2.  Uses of FT-MIR Spectroscopy and Multivariate Analysis in Quality Control of Coffee, Cocoa, and Commercially Important Spices.

Authors:  Lucero Azusena Castillejos-Mijangos; Aracely Acosta-Caudillo; Tzayhrí Gallardo-Velázquez; Guillermo Osorio-Revilla; Cristian Jiménez-Martínez
Journal:  Foods       Date:  2022-02-17

3.  Development of a fast and simple method to identify pure Arabica coffee and blended coffee by Infrared Spectroscopy.

Authors:  Alexandre Cestari
Journal:  J Food Sci Technol       Date:  2021-06-16       Impact factor: 3.117

  3 in total

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