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Estimation of moisture curves in cork granulate by Vis/NIRS technology

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Abstract

The aim of this study was to determine the moisture content of cork granulate between maximum moisture content and equilibrium moisture content and evaluate the potential of Vis/NIR spectroscopy in predicting the moisture content in that range. The study was carried out in a set comprising 118 samples classified into nine granulometric classes (0.5–1, 1–1.5, 1–2, 1.5–2.5, 2–4, 2–5, 2–6, 3–7, and 4–8 mm). Spectra were collected by reflectance in the wavelength range of 400–2500 nm. Approximately 400 spectra were used to develop modified partial least squares calibration equations, while 180 spectra were used for the external validation. The mean maximum moisture content was 661.2 % (range 967.5–271.3 %) after 80 days of saturation, while the mean equilibrium moisture content was 6.2 % (range 5.8–7.5 %) after 58 days of drying depending on the granulometric class. The calibrations achieved excellent accuracy and precision with coefficients of determination in the cross-validation \( (r_{\text{cv}}^{2} ) \) of 0.99. The best equation showed a coefficient of determination of external validation \( (r_{\text{EV}}^{2} ) \) of 0.99, similar standard errors of cross-validation (24.22 %) and external validation (26.96 %), a ratio of performance to deviation of 11.7, and a range error ratio of 39.7 in the external validation, thus confirming that Vis/NIRS technology is suitable for quantifying the moisture content of cork granulate in routine analyses.

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Acknowledgments

NIR data were obtained using NIRS hardware and software provided by the NIR/MIR Spectroscopy Unit of the SCAI at the University of Cordoba (Spain). The authors acknowledge Morell and Samec for supplying the cork granulate used in the study.

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Authors and Affiliations

  1. Faculty of Agriculture and Forestry Engineering, University of Cordoba, Cordoba, Spain

    Juan Carlos Sánchez-González & Cristina Prades

  2. NIR/MIR Spectroscopy Unit, Central Service for Research Support, University of Cordoba, Cordoba, Spain

    Juan García-Olmo

Authors
  1. Juan Carlos Sánchez-González
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  2. Juan García-Olmo
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  3. Cristina Prades
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Correspondence to Cristina Prades.

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Sánchez-González, J.C., García-Olmo, J. & Prades, C. Estimation of moisture curves in cork granulate by Vis/NIRS technology. Wood Sci Technol 49, 1003–1020 (2015). https://doi.org/10.1007/s00226-015-0742-8

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  • DOI: https://doi.org/10.1007/s00226-015-0742-8

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