Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood
Many studies have successfully applied near infrared (NIR) spectroscopy to estimate important wood traits. Some of them have reported the effects of wood surfaces on NIR spectra information and their influence on the performance of the predictive model. However, limited information is available concerning the effect of sample preparation on the model performance to estimate chemical properties in Eucalyptus wood. Hence, the aim of this study was to investigate the influence of the milling procedure, particle size, and quality of the solid wood surface on the performance of the partial least squares regression to predict chemical properties of Eucalyptus urophylla wood by NIR spectroscopy. Adequate models were built to predict klason lignin content, acid-soluble lignin content, and syringyl-to-guaiacyl ratio in Eucalyptus urophylla wood. Sample preparation strongly influences the ratio of performance to deviation (RPD) of these predictive models. The effect of the sample presentation (solid or milled wood) was stronger than the effect of the particle size difference between thin and thick powder. The best calibrations were developed using NIR spectra measured on wood powder (RDP values from 1.99 to 2.97), but satisfactory calibrations were developed from NIR spectra measured on solid samples (RPD values from 1.68 to 2.16).
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Subjects: | K50 - Technologie des produits forestiers, U30 - Méthodes de recherche, Eucalyptus urophylla, bois, échantillonnage, propriété physicochimique, spectroscopie infrarouge, lignine, http://aims.fao.org/aos/agrovoc/c_26492, http://aims.fao.org/aos/agrovoc/c_8421, http://aims.fao.org/aos/agrovoc/c_6774, http://aims.fao.org/aos/agrovoc/c_1521, http://aims.fao.org/aos/agrovoc/c_28568, http://aims.fao.org/aos/agrovoc/c_4329, http://aims.fao.org/aos/agrovoc/c_1811, |
Online Access: | http://agritrop.cirad.fr/552981/ http://agritrop.cirad.fr/552981/1/552981.pdf |
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dig-cirad-fr-5529812024-01-28T17:57:47Z http://agritrop.cirad.fr/552981/ http://agritrop.cirad.fr/552981/ Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood. Gherardi Hein Paulo Ricardo, Lima Jose Tarcisio, Chaix Gilles. 2010. Holzforschung, 64 (1) : 45-54.https://doi.org/10.1515/HF.2010.011 <https://doi.org/10.1515/HF.2010.011> Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood Gherardi Hein, Paulo Ricardo Lima, Jose Tarcisio Chaix, Gilles eng 2010 Holzforschung K50 - Technologie des produits forestiers U30 - Méthodes de recherche Eucalyptus urophylla bois échantillonnage propriété physicochimique spectroscopie infrarouge lignine http://aims.fao.org/aos/agrovoc/c_26492 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_6774 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_4329 Congo http://aims.fao.org/aos/agrovoc/c_1811 Many studies have successfully applied near infrared (NIR) spectroscopy to estimate important wood traits. Some of them have reported the effects of wood surfaces on NIR spectra information and their influence on the performance of the predictive model. However, limited information is available concerning the effect of sample preparation on the model performance to estimate chemical properties in Eucalyptus wood. Hence, the aim of this study was to investigate the influence of the milling procedure, particle size, and quality of the solid wood surface on the performance of the partial least squares regression to predict chemical properties of Eucalyptus urophylla wood by NIR spectroscopy. Adequate models were built to predict klason lignin content, acid-soluble lignin content, and syringyl-to-guaiacyl ratio in Eucalyptus urophylla wood. Sample preparation strongly influences the ratio of performance to deviation (RPD) of these predictive models. The effect of the sample presentation (solid or milled wood) was stronger than the effect of the particle size difference between thin and thick powder. The best calibrations were developed using NIR spectra measured on wood powder (RDP values from 1.99 to 2.97), but satisfactory calibrations were developed from NIR spectra measured on solid samples (RPD values from 1.68 to 2.16). article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/552981/1/552981.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1515/HF.2010.011 10.1515/HF.2010.011 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=206980 info:eu-repo/semantics/altIdentifier/doi/10.1515/HF.2010.011 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1515/HF.2010.011 |
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K50 - Technologie des produits forestiers U30 - Méthodes de recherche Eucalyptus urophylla bois échantillonnage propriété physicochimique spectroscopie infrarouge lignine http://aims.fao.org/aos/agrovoc/c_26492 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_6774 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_4329 http://aims.fao.org/aos/agrovoc/c_1811 K50 - Technologie des produits forestiers U30 - Méthodes de recherche Eucalyptus urophylla bois échantillonnage propriété physicochimique spectroscopie infrarouge lignine http://aims.fao.org/aos/agrovoc/c_26492 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_6774 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_4329 http://aims.fao.org/aos/agrovoc/c_1811 |
spellingShingle |
K50 - Technologie des produits forestiers U30 - Méthodes de recherche Eucalyptus urophylla bois échantillonnage propriété physicochimique spectroscopie infrarouge lignine http://aims.fao.org/aos/agrovoc/c_26492 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_6774 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_4329 http://aims.fao.org/aos/agrovoc/c_1811 K50 - Technologie des produits forestiers U30 - Méthodes de recherche Eucalyptus urophylla bois échantillonnage propriété physicochimique spectroscopie infrarouge lignine http://aims.fao.org/aos/agrovoc/c_26492 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_6774 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_4329 http://aims.fao.org/aos/agrovoc/c_1811 Gherardi Hein, Paulo Ricardo Lima, Jose Tarcisio Chaix, Gilles Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood |
description |
Many studies have successfully applied near infrared (NIR) spectroscopy to estimate important wood traits. Some of them have reported the effects of wood surfaces on NIR spectra information and their influence on the performance of the predictive model. However, limited information is available concerning the effect of sample preparation on the model performance to estimate chemical properties in Eucalyptus wood. Hence, the aim of this study was to investigate the influence of the milling procedure, particle size, and quality of the solid wood surface on the performance of the partial least squares regression to predict chemical properties of Eucalyptus urophylla wood by NIR spectroscopy. Adequate models were built to predict klason lignin content, acid-soluble lignin content, and syringyl-to-guaiacyl ratio in Eucalyptus urophylla wood. Sample preparation strongly influences the ratio of performance to deviation (RPD) of these predictive models. The effect of the sample presentation (solid or milled wood) was stronger than the effect of the particle size difference between thin and thick powder. The best calibrations were developed using NIR spectra measured on wood powder (RDP values from 1.99 to 2.97), but satisfactory calibrations were developed from NIR spectra measured on solid samples (RPD values from 1.68 to 2.16). |
format |
article |
topic_facet |
K50 - Technologie des produits forestiers U30 - Méthodes de recherche Eucalyptus urophylla bois échantillonnage propriété physicochimique spectroscopie infrarouge lignine http://aims.fao.org/aos/agrovoc/c_26492 http://aims.fao.org/aos/agrovoc/c_8421 http://aims.fao.org/aos/agrovoc/c_6774 http://aims.fao.org/aos/agrovoc/c_1521 http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_4329 http://aims.fao.org/aos/agrovoc/c_1811 |
author |
Gherardi Hein, Paulo Ricardo Lima, Jose Tarcisio Chaix, Gilles |
author_facet |
Gherardi Hein, Paulo Ricardo Lima, Jose Tarcisio Chaix, Gilles |
author_sort |
Gherardi Hein, Paulo Ricardo |
title |
Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood |
title_short |
Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood |
title_full |
Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood |
title_fullStr |
Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood |
title_full_unstemmed |
Effects of sample preparation on NIR spectroscopic estimation of chemical properties of Eucalyptus urophylla S.T. Blake wood |
title_sort |
effects of sample preparation on nir spectroscopic estimation of chemical properties of eucalyptus urophylla s.t. blake wood |
url |
http://agritrop.cirad.fr/552981/ http://agritrop.cirad.fr/552981/1/552981.pdf |
work_keys_str_mv |
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_version_ |
1792497463444111360 |