PREDICTION BY MULTIVARIATE CALIBRATION OF QUALITY PARAMETERS OF COFFEE RESIDUES

Authors

  • Magale Karine Diel Rambo Universidade Federal do Tocantins
  • Luana Priscilla Rodrigues Macêdo Universidade Federal do Tocantins- UFT, Araguaína- Brasil
  • Marcleane Mendes da Silva Instituto Federal de Educação, Ciência e Tecnologia do Tocantins- IFTO, Palmas, Brasil
  • Michele Cristiane Diel Rambo Instituto Federal de Educação, Ciência e Tecnologia do Tocantins- IFTO, Palmas, Brasil

DOI:

https://doi.org/10.5902/2179460X17124

Keywords:

Coffee. Ultimate analysis. NIR spectroscopy. Chemometrics.

Abstract

http://dx.doi.org/10.5902/2179460X17124

The real time prediction of the quality of the coffee biomass parameters allow greater efficiency in the energy industry and its production process, allowing the determination of multiple chemical components, while avoiding the extensive sample preparation. Multivariate calibration models using spectra obtained by near infrared spectroscopy (NIR) have been developed to predict the following properties of coffee: moisture, ash, fixed carbon and volatile content. Satisfactory results were obtained demonstrating the importance of methodology from the economic point of view, but also environmental, since residues from the coffee industry (husks) were evaluated and demonstrated use of potential.

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Author Biographies

Magale Karine Diel Rambo, Universidade Federal do Tocantins

Possui graduação em Química Licenciatura pela Universidade Federal de Santa Maria (2007), mestrado em Química pela Universidade Federal de Santa Maria (2009) e doutorado em Química pela Universidade Estadual de Campinas (2013), com estágio no grupo Carbolea da Universidade de Limerick (UL), Irlanda, participando de um projeto FP7, DIBANET (www.dibanet.org) entre a Comunidade Européia e a América Latina.Atualmente é Professora da Universidade Federal do Tocantins. Tem experiência na área de Química Analítica, com ênfase em Química Analítica Ambiental, Biocombustíveis, Biorrefinarias e Quimiometria.

Luana Priscilla Rodrigues Macêdo, Universidade Federal do Tocantins- UFT, Araguaína- Brasil

Aluna de Iniciação científica

Marcleane Mendes da Silva, Instituto Federal de Educação, Ciência e Tecnologia do Tocantins- IFTO, Palmas, Brasil

Aluna de Iniciação científica, Universidade Federal do Tocantins- UFT, Araguaína- Brasil

Michele Cristiane Diel Rambo, Instituto Federal de Educação, Ciência e Tecnologia do Tocantins- IFTO, Palmas, Brasil

Mestre, Instituto Federal de Educação, Ciência e Tecnologia do Tocantins- IFTO, Palmas, Brasil

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Published

2015-05-30

How to Cite

Rambo, M. K. D., Macêdo, L. P. R., Silva, M. M. da, & Rambo, M. C. D. (2015). PREDICTION BY MULTIVARIATE CALIBRATION OF QUALITY PARAMETERS OF COFFEE RESIDUES. Ciência E Natura, 37(2), 374–380. https://doi.org/10.5902/2179460X17124

Issue

Vol. 37 No. 2 (2015)

Section

Chemistry

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