Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy

Authors

  • Larize Mazur Universidade Federal do Paraná Author
  • Gabrieli Alves de Oliveira Universidade Federal do Paraná Author
  • Milene Oliveira Pereira Bicudo Universidade Federal do Paraná Author
  • Rosemary Hoffmann Ribani Universidade Federal do Paraná Author
  • Noemi Nagata Universidade Federal do Paraná Author
  • Patrí­cio Peralta-Zamora Universidade Federal do Paraná Author

DOI:

https://doi.org/10.4025/actascitechnol.v36i2.17777

Keywords:

NIR, online analysis, PLSR

Abstract

This work describes the development of a multivariate model based on near infrared reflectance spectroscopy (NIR) and partial least squares regression for the prediction of the moisture content in yerba mate samples. The multivariate model based on derivatized and multiplicative sign correction (MSC) spectral signals (4000-8500 cm-1) was elaborated with 3 latent variables, allowing the fast evaluation of the moisture content with average prediction errors of about 2.5%. The minimal manipulation of the samples permits a high analytical speed that facilitates the implementation of quality control operations.

 

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Author Biographies

  • Larize Mazur, Universidade Federal do Paraná
    Graduada em Engenharia de Alimentos pela Universidade Estadual de Ponta Grossa. Mestre em Enhgenharia de Alimentos pela UFPR. Atualmente aluna de Doutorado do Programa de Pós-Graduação em Engenharia de Alimentos pela Universidade Federal do Paraná.
  • Gabrieli Alves de Oliveira, Universidade Federal do Paraná

    Programa de Pós-Graduação em Engenharia de Alimentos, departamento de Engenharia Quí­mica,Universidade Federal do Paraná. Rua Francisco H. Santos, caixa postal 19011, 81531-990, Curitiba, PR,
    Brazil

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Published

2014-04-04

Issue

Vol. 36 No. 2 (2014)

Section

Food Technology

License

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I Declare that current article is original and has not been submitted for publication, in part or in whole, to any other national or international journal. 

The copyrights belong exclusively to the authors. Published content is licensed under Creative Commons Attribution 4.0 (CC BY 4.0) guidelines, which allows sharing (copy and distribution of the material in any medium or format) and adaptation (remix, transform, and build upon the material) for any purpose, even commercially, under the terms of attribution.

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How to Cite

Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy. (2014). Acta Scientiarum. Technology, 36(2), 369-374. https://doi.org/10.4025/actascitechnol.v36i2.17777

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