Prospective of Innovative Technologies for Quality Supervision and Classification of Roasted Coffee Beans

Correa Hernando, Eva Cristina and Barreiro Elorza, Pilar and Hills, B.P. and Bongaers, E. and Jiménez Ariza, Heidi Tatiana and Melado Herreros, Angela and Diezma Iglesias, Belen and Diaz Barcos, Virginia and Meneses, Beatriz and Oteros, R. (2011). Prospective of Innovative Technologies for Quality Supervision and Classification of Roasted Coffee Beans. In: "6th International CIGR Technical Symposium", 18/04/2011-20/04/2011, Nante, Francia.

Description

Title: Prospective of Innovative Technologies for Quality Supervision and Classification of Roasted Coffee Beans
Author/s:
  • Correa Hernando, Eva Cristina
  • Barreiro Elorza, Pilar
  • Hills, B.P.
  • Bongaers, E.
  • Jiménez Ariza, Heidi Tatiana
  • Melado Herreros, Angela
  • Diezma Iglesias, Belen
  • Diaz Barcos, Virginia
  • Meneses, Beatriz
  • Oteros, R.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 6th International CIGR Technical Symposium
Event Dates: 18/04/2011-20/04/2011
Event Location: Nante, Francia
Title of Book: Proceedings of 6th International CIGR Technical Symposium
Date: 2011
Subjects:
Freetext Keywords: food microstructure, multi spectral imaging, X-ray microtomography, nuclear magnetic resonance relaxometry.
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (639kB) | Preview

Abstract

Color sorting is the major procedure employed for establish roast degree of coffee beans. However, color-based procedures have been proven to be ineffective, since coffee beans roasted to different degrees can present the same average readings in light reflectance measurements with significant quality variations. Besides to color, other major changes in beans are volume (swell), mass, form, bean pop and density. Eight samples of arabica coffee from Colombia and Guatemala have been roasted under slightly different conditions of time and temperature in order to obtain the same color classification. Sample analysis of data from nuclear magnetic resonance relaxometry show differences between samples in T1 and T2 parameters at cellular and subcellular level, and image analysis carried out on X-ray μCT leading to microestruture images corroborate differences in porosity and fissures presence among them, proving the potentiality of these technological solutions for sensing the microstructure of coffee to provide tools to enhance the roasting process.

More information

Item ID: 6858
DC Identifier: http://oa.upm.es/6858/
OAI Identifier: oai:oa.upm.es:6858
Official URL: http://impascience.eu/CIGR/
Deposited by: Memoria Investigacion
Deposited on: 04 May 2011 08:27
Last Modified: 20 Apr 2016 15:59
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM