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The application of NIR spectroscopy in moisture determining of vegetable seeds

Author

Listed:
  • Jonna Szulc
  • Grażyna Gozdecka

    (Faculty of Chemical Technology and Engineering, UTP University of Science and Technology, Bydgoszcz, Poland)

  • Wojciech Poćwiardowski

    (Faculty of Chemical Technology and Engineering, UTP University of Science and Technology, Bydgoszcz, Poland)

Abstract

The aim of the study was to elaborate a universal calibration for the near infrared (NIR) spectrophotometer to determine the moisture of various kinds of vegetable seeds. The research was conducted on the seeds of 5 types of vegetables - carrot, parsley, lettuce, radish and beetroot. For the spectra correlation with moisture values, the method of partial least squares regression (PLS) was used. The resulting qualitative indicators of a calibration model (R = 0.9968, Q = 0.8904) confirmed an excellent fit of the obtained calibration to the experimental data. As a result of the study, the possibilities of creating a calibration model for NIR spectrophotometer for non-destructive moisture analysis of various kinds of vegetable seeds was confirmed.

Suggested Citation

  • Jonna Szulc & Grażyna Gozdecka & Wojciech Poćwiardowski, 2020. "The application of NIR spectroscopy in moisture determining of vegetable seeds," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 38(2), pages 131-136.
    • Handle: RePEc:caa:jnlcjf:v:38:y:2020:i:2:id:57-2019-cjfs
    DOI: 10.17221/57/2019-CJFS
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    References listed on IDEAS

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    1. Virág Csorba & Marietta Fodor & Szilvia Kovács & Magdolna Tóth, 2019. "Potential of fourier transformed near-infrared (FT-NIR) spectroscopy for rapid analysis of elderberry (Sambucus nigra L.) fruits," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 37(1), pages 21-28.
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