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Near infrared (NIR) spectroscopy for estimating the chemical composition of (Acacia mangium Willd.) wood

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Abstract

Research on wood technological properties using near infrared (NIR) spectroscopy has shown promising results. The aim of this study was to evaluate the efficiency of NIR spectroscopy for estimating chemical properties of mangium wood (Acacia mangium). NIR spectra were obtained from 150 wood meal samples of mangium trees that were 5–7-years-old. A multivariate data analysis method of partial least squares was used to develop calibration regression models for predicting chemical properties based on NIR spectra. The results showed a good relationship between values derived from laboratory analyses and those predicted by NIR spectroscopy for α-cellulose and hemicellulose content. The calibration models had high values for the coefficient of determination (R 2 > 0.80) and the ratio of performance to deviation (RPD > 2.0). Meanwhile, lignin and extractive content were poorly predicted; calibration validation revealed R 2 < 0.60 and RPD = 1.0. This study indicated that NIR spectroscopy analysis on wood meal of A. mangium could be reliably used to predict α-cellulose and hemicellulose.

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Acknowledgments

This study is part of a Competitive Grant for Universities Strategic Research with contract number 17/I3.24.4/SPK-PUS/IPB/2012 funded by Directorate of Research and Community Service, the Directorate General of Higher Education, Ministry of Education and Culture, Republic of Indonesia.

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Authors and Affiliations

  1. Department of Forest Product, Faculty of Forestry, Bogor Agricultural University (IPB), Kampus IPB Darmaga, Bogor, 16680, Indonesia

    Lina Karlinasari, Merry Sabed & I. Nyoman J. Wistara

  2. Department of Mechanical Engineering and Bio-systems, Faculty of Agricultural Technology, Bogor Agricultural University (IPB), Kampus IPB Darmaga, Bogor, 16680, Indonesia

    Y. A. Purwanto

Authors
  1. Lina Karlinasari
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  2. Merry Sabed
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  3. I. Nyoman J. Wistara
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  4. Y. A. Purwanto
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Correspondence to Lina Karlinasari.

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Karlinasari, L., Sabed, M., Wistara, I.N.J. et al. Near infrared (NIR) spectroscopy for estimating the chemical composition of (Acacia mangium Willd.) wood. J Indian Acad Wood Sci 11, 162–167 (2014). https://doi.org/10.1007/s13196-014-0133-z

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  • DOI: https://doi.org/10.1007/s13196-014-0133-z

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