RELATIVE IMPORTANCE AND INTERACTION OF ROASTING VARIABLES IN COFFEE ROASTING PROCESS

Authors

  • Cinthia da Conceição Garcia Universidade Federal Fluminense
  • Annibal Duarte Pereira Netto
  • Michelle Costa da Silva
  • Alexandre Alves Catão
  • Iasmim Amorim de Souza
  • Larissa Silva Farias
  • Thiago Nunes Emerich de Paula
  • Mateus Nunes Emerick de Paula
  • Sandro Coutinho dos Reis
  • Ademário Iris da Silva Junior Instituto Federal de Ciência e Tecnologia do Rio de Janeiro http://orcid.org/0000-0003-2896-4533

DOI:

https://doi.org/10.25186/cs.v13i3.1483

Keywords:

Coffee roasting, multivariate experimental planning, coffee roasting control variables, coffee roasting response variables.

Abstract

This work describes a study in which levels of variables that may control the coffee roasting process were set in an experimental matrix that aimed at measuring their relative importance and the interaction between variables. Each control variable was set in two levels and the combination of these levels elicited 32 different roasting procedures. The physical responses were determined for a specific roaster. Experimental planning allowed the determination of the relative influence of each control variable in each response variable for this roaster. This led to a primary quantification of the major factors that contribute to the roasting process and the relative importance of roast parameters that influence the quality of the coffee beverage. Moreover, these results indicated what interactions could occur between these parameters. The characterization of the relative influence of control variables is a first approach to model the roaster response and the coffee quality that each roasting can achieve.

Author Biography

Ademário Iris da Silva Junior, Instituto Federal de Ciência e Tecnologia do Rio de Janeiro

Possui graduação em Química pelo Instituto de Química - Universidade Federal do Rio de Janeiro (1986), IQ-UFRJ, e mestrado em Físico-Química e doutorado em Química pelo IQ-UFRJ (1992 e 2010). Também é técnico em química (1979) pela Escola Técnica Federal de Química do Rio de Janeiro (ETFQ-RJ). Tem experiência na área de Análise Química, atuando principalmente nos seguintes temas: potenciometria, espectrofotometria molecular e atômica, cromatografia e espectrometria de massas. Foi professor concursado do Departamento de Química Analítica da Universidade Estadual do Rio de Janeiro. É professor de Análise Instrumental no IFRJ, Instituto Federal do Rio de Janeiro (ex-Escola Técnica Federal de Química do Rio de Janeiro, ex-Cefet Química), desde 1991. É revisor de periódicos nacionais e internacionais na área de cromatografia. Sua tese de doutorado foi a primeira totalmente.desenvolvida no Brasil, que utilizou cromatografia bidimensional abrangente. É coordenador do Projeto Café, aprovado na chamada 94/2013, do CNPq, que investiga o tratamento do café depois da colheita e antes da torrefação, e do projeto Torrefação de Café, aprovado na chamada 17/2014, que investiga o processo de torra e o funcionamento do torrefador de café. De agosto de 2016 a julho de 2017, fez um pós doutorado com pesquisas em torra de café na universidade Monash, na Austrália, no grupo do professor Philip Marriott.

References

ATILLA. Manual do usuário, Atilla linhas Gold e Gold Plus. Available on: < http://www.atilla.com.br/wp-content/uploads/2017/06/manual-torrador-atillagold-e-gold-plus.pdf >. Access in: 4 July 2018.

ALONSO-TORRES, B. et al. Modeling and Validation of Heat and Mass Transfer in Individual Coffee Beans during the Coffee Roasting Process Using Computational Fluid Dynamics (CFD). CHIMIA International Journal for Chemistry, v. 67, n. 4, p. 291–294, Apr. 2013.

BOTTAZZI, D. et al. A numerical approach for the analysis of the coffee roasting process. Journal of Food Engineering, v. 112, n. 3, p. 243–252, Oct. 2012.

BOX, G. E.; HUNTER, W. G.; HUNTER, J. S. Statistics for Experimenters: Design, Innovation and Discovery. 2nd. ed. 2005. John Wiley & Sons, Inc., Hoboken, New Jersey.

CALADO, V. Montgomery, D. C. 2003. Planejamento de experimentos usando o Statistica. E-Papers Serviços Editoriais, Rio de Janeiro.

CHIANG, C. C.; WU, D. Y.; KANG, D. Y. Detailed Simulation of Fluid Dynamics and Heat Transfer in Coffee Bean Roaster: Simulation of Coffee Bean Roaster. Journal of Food Process Engineering, v. 40, n. 2, p. e12398, Mar/Apr. 2017.

FABBRI, A. et al. Numerical modeling of heat and mass transfer during coffee roasting process. Journal of Food Engineering, v. 105, n. 2, p. 264-269, jul. 2011.

GIOMO, G. S. 2012. Café-Uma boa pós-colheita é segredo para qualidade. A Lavoura. Available on: < http://sna.agr.br/wp-content/uploads/alav688_cafe.pdf >. Access in: 8 May 2017.

GLOESS, A. N. et al. Evidence of different flavour formation dynamics by roasting coffee from different origins: On-line analysis with PTR-ToF-MS. International Journal of Mass Spectrometry, v. 365–366, p. 324–337, May. 2014.

HERNÁNDEZ, J. A. et al. Analysis of the heat and mass transfer during coffee batch roasting. Journal of Food Engineering, v. 78, n. 4, p. 1141–1148, Feb. 2007.

HEYD, B. et al. Physical Model of Heat and Mass Transfer in a Spouted Bed Coffee Roaster. Drying Technology, v. 25, n. 7–8, p. 1243–1248, Aug. 2007.

ICO (1), International Coffee Organization. Trade in Statistics Tables – World Coffee Consumption. Available on: < http://www.ico.org/prices/newconsumption-table.pdf >. Access in: 19 dez. 2016.

ICO (2), International Coffee Organization. Trade in Statistics Tables – Total Production by Exporting Countries. Available on: < http://www.ico.org/prices/po-production.pdf >. Access in: 19 dez. 2016.

ICO (3), International Coffee Organization. Grading and Classification of Green Coffee. Available on: < http://www.ico.org/projects/Good-Hygiene-Practices/cnt/cnt_en/sec_3/docs_3.3/Grading%20&%20class.pdf >. Access in: 19 dez. 2016.

KARYADI, J. N. W.; RAHAYOE, S.; MELIALA, E. A. Effect of Time Temperature History on Coffee Aroma during Roasting with Heat Conduction. International Agricultural Engineering Conference, Dec. 2009.

MONTGOMERY, D. C. Design and analysis of experiments. Eighth edition ed. Hoboken, NJ: John Wiley & Sons, Inc, 2013.

MWITHIGA, G.; JINDAL, V. K. Physical Changes during Coffee Roasting in Rotary Conduction-Type Heating Units. Journal of Food Process Engineering, v. 26, n. 6, p. 543–558, Dec. 2003.

MYERS, R. H.; MONTGOMERY, D. C.; ANDERSONCOOK, C. M. Response surface methodology: process and product optimization using designed experiments. 4ed. Hoboken, New Jersey: Wiley, 2016.

NATRELLA, M. G. Experimental statistics. Mineola, N. Y: Dover Publications, 2005.

NETO, B. B.; SCARMINIO, I. S.; BRUNS, R. E. Como fazer experimentos: Aplicações na Ciência e na Indústria. [s.l.] Bookman, 2010.

OLIVEROS, N. O. et al. Experimental study of dynamic porosity and its effects on simulation of the coffee beans roasting. Journal of Food Engineering, v. 199, p. 100–112, Apr. 2017.

PATIENCE, G. S. Experimental methods and instrumentation for chemical engineers. Waltham, Mass.: Elsevier, 2013.

PUTRANTO, A.; CHEN, X. D. Roasting of Barley and Coffee Modeled Using the Lumped-Reaction Engineering Approach (L-REA). Drying Technology, v. 30, n. 5, p. 475–483, Apr. 2012.

ROMANI, S. et al. Evaluation of Coffee Roasting Degree by Using Electronic Nose and Artificial Neural Network for Off-line Quality Control. Journal of Food Science, v. 77, n. 9, p. 960–965, Sept. 2012.

SCHWARTZBERG, H. Batch Coffee Roasting; Roasting Energy Use; Reducing That Use. In: YANNIOTIS, S. et al. (Eds.). Advances in Food Process Engineering Research and Applications. Boston, MA: Springer US, 2013. p. 173–195.

VELLUCI, M. 2015. The Continued Rise of Premium Coffee in the U.S.: Will It De-Commoditize Coffee? Brown Brothers Harriman | Commodity Markets Update, December 2015. Available on: < https://www.bbh.com/blob/10968/7d4a3ed1cd7a5ab6c0eb637164cff9d1thecontinued-rise-of-premium-coffee-in-the-u-s---will-itde-commoditize-coffee--pdf-data.pdf >. Access in: 8 May 2017.

WIELAND, F. et al. Online monitoring of coffee roasting by proton transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS): towards a real time process control for a consistent roast profile. Analytical and Bioanalytical Chemistry, Heidelberg, v. 402, n. 8, p. 2531–2543, Mar. 2012.

WILSON, P. S. Coffee roasting acoustics. The Journal of the Acoustical Society of America, v. 135, n. 6, p. 265–269, June. 2014.

YERETZIAN, C. et al. From the green bean to the cup of coffee: investigating coffee roasting by on-line monitoring of volatiles. European Food Research and Technology, v. 214, n. 2, p. 92–104, Feb. 2002.

ZIMMERMANN, R. et al. Application of Laser Ionization Mass Spectrometry for On-line Monitoring of Volatiles in the Headspace of Food Products: Roasting and Brewing of Coffee. Rapid Communications in Mass Spectrometry, v. 10, n. 15, p. 1975–1979, Dec. 1996.

Published

2018-09-27

How to Cite

GARCIA, C. DA C.; PEREIRA NETTO, A. D.; DA SILVA, M. C.; CATÃO, A. A.; DE SOUZA, I. A.; FARIAS, L. S.; EMERICH DE PAULA, T. N.; EMERICK DE PAULA, M. N.; DOS REIS, S. C.; DA SILVA JUNIOR, A. I. RELATIVE IMPORTANCE AND INTERACTION OF ROASTING VARIABLES IN COFFEE ROASTING PROCESS. Coffee Science - ISSN 1984-3909, v. 13, n. 3, p. 379-388, 27 Sep. 2018.

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