Literature DB >> 27132829

In-line monitoring of the coffee roasting process with near infrared spectroscopy: Measurement of sucrose and colour.

João Rodrigo Santos1, Olga Viegas2, Ricardo N M J Páscoa3, Isabel M P L V O Ferreira4, António O S S Rangel1, João Almeida Lopes5.   

Abstract

In this work, a real-time and in-situ analytical tool based on near infrared spectroscopy is proposed to predict two of the most relevant coffee parameters during the roasting process, sucrose and colour. The methodology was developed taking in consideration different coffee varieties (Arabica and Robusta), coffee origins (Brazil, East-Timor, India and Uganda) and roasting process procedures (slow and fast). All near infrared spectroscopy-based calibrations were developed resorting to partial least squares regression. The results proved the suitability of this methodology as demonstrated by range-error-ratio and coefficient of determination higher than 10 and 0.85 respectively, for all modelled parameters. The relationship between sucrose and colour development during the roasting process is further discussed, in light of designing in real-time coffee products with similar visual appearance and distinct organoleptic profile.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemometrics; Coffee roasting; Colour; In-line monitoring; Near infrared spectroscopy; Sucrose

Mesh:

Substances:

Year:  2016        PMID: 27132829     DOI: 10.1016/j.foodchem.2016.03.114

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


  4 in total

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3.  Nutritional Characterization of Strychnos madagascariensis Fruit Flour Produced by Mozambican Communities and Evaluation of Its Contribution to Nutrient Adequacy.

Authors:  Sandra S I Chemane; Mafalda Ribeiro; Edgar Pinto; Susana C M Pinho; Zita Sá Martins; Agostinho Almeida; Isabel M P L V O Ferreira; Maida Khan; Olívia Pinho; Susana Casal; Olga Viegas
Journal:  Foods       Date:  2022-02-21

4.  Prediction of coffee aroma from single roasted coffee beans by hyperspectral imaging.

Authors:  Nicola Caporaso; Martin B Whitworth; Ian D Fisk
Journal:  Food Chem       Date:  2021-09-17       Impact factor: 7.514

  4 in total

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