Water desorption monitoring of cellulose pulps by NIR spectroscopy
Near infrared (NIR) spectroscopy can be implemented in the evaluation of cellulose. The potential of NIR spectroscopy combined with multivariate analysis to evaluate moisture variation in pulp was studied. Samples of four pulp types were conditioned to different moisture levels. The samples were air dried in a controlled environment, at each 10 % moisture reduction the material was weighed and analyzed with the NIR spectrometer. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS-R) were applied to the spectral signatures and moisture values obtained during drying. Combining NIR spectroscopy with PLS-R, the moisture of the pulps under different conditions was estimated with R²p ranging from 0.89 to 0.98 for independent validation and root mean square error (RMSEP) ranging from 5.1 % to 18.3 %. The PLS-R models were applied to NIR spectra taken from other pulps and the estimates were consistent. The models showed robustness for monitoring pulps subjected to moisture variations.
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Subjects: | Q60 - Traitement des produits agricoles non alimentaires, U30 - Méthodes de recherche, spectroscopie infrarouge, spectroscopie, propriété physicochimique, http://aims.fao.org/aos/agrovoc/c_28568, http://aims.fao.org/aos/agrovoc/c_14498, http://aims.fao.org/aos/agrovoc/c_1521, |
Online Access: | http://agritrop.cirad.fr/605233/ http://agritrop.cirad.fr/605233/3/605233.pdf |
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dig-cirad-fr-6052332024-02-14T18:33:37Z http://agritrop.cirad.fr/605233/ http://agritrop.cirad.fr/605233/ Water desorption monitoring of cellulose pulps by NIR spectroscopy. Targino de Medeiros Dayane, Guedes Ramalho Fernanda Maria, Gomes Batista Felipe, Reis Prazeres Mascarenhas Adriano, Chaix Gilles, Gherardi Hein Paulo Ricardo. 2023. Industrial Crops and Products, 192:115989, 9 p.https://doi.org/10.1016/j.indcrop.2022.115989 <https://doi.org/10.1016/j.indcrop.2022.115989> Water desorption monitoring of cellulose pulps by NIR spectroscopy Targino de Medeiros, Dayane Guedes Ramalho, Fernanda Maria Gomes Batista, Felipe Reis Prazeres Mascarenhas, Adriano Chaix, Gilles Gherardi Hein, Paulo Ricardo eng 2023 Industrial Crops and Products Q60 - Traitement des produits agricoles non alimentaires U30 - Méthodes de recherche spectroscopie infrarouge spectroscopie propriété physicochimique http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_1521 Near infrared (NIR) spectroscopy can be implemented in the evaluation of cellulose. The potential of NIR spectroscopy combined with multivariate analysis to evaluate moisture variation in pulp was studied. Samples of four pulp types were conditioned to different moisture levels. The samples were air dried in a controlled environment, at each 10 % moisture reduction the material was weighed and analyzed with the NIR spectrometer. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS-R) were applied to the spectral signatures and moisture values obtained during drying. Combining NIR spectroscopy with PLS-R, the moisture of the pulps under different conditions was estimated with R²p ranging from 0.89 to 0.98 for independent validation and root mean square error (RMSEP) ranging from 5.1 % to 18.3 %. The PLS-R models were applied to NIR spectra taken from other pulps and the estimates were consistent. The models showed robustness for monitoring pulps subjected to moisture variations. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/605233/3/605233.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.indcrop.2022.115989 10.1016/j.indcrop.2022.115989 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.indcrop.2022.115989 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.indcrop.2022.115989 |
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Q60 - Traitement des produits agricoles non alimentaires U30 - Méthodes de recherche spectroscopie infrarouge spectroscopie propriété physicochimique http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_1521 Q60 - Traitement des produits agricoles non alimentaires U30 - Méthodes de recherche spectroscopie infrarouge spectroscopie propriété physicochimique http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_1521 |
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Q60 - Traitement des produits agricoles non alimentaires U30 - Méthodes de recherche spectroscopie infrarouge spectroscopie propriété physicochimique http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_1521 Q60 - Traitement des produits agricoles non alimentaires U30 - Méthodes de recherche spectroscopie infrarouge spectroscopie propriété physicochimique http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_1521 Targino de Medeiros, Dayane Guedes Ramalho, Fernanda Maria Gomes Batista, Felipe Reis Prazeres Mascarenhas, Adriano Chaix, Gilles Gherardi Hein, Paulo Ricardo Water desorption monitoring of cellulose pulps by NIR spectroscopy |
description |
Near infrared (NIR) spectroscopy can be implemented in the evaluation of cellulose. The potential of NIR spectroscopy combined with multivariate analysis to evaluate moisture variation in pulp was studied. Samples of four pulp types were conditioned to different moisture levels. The samples were air dried in a controlled environment, at each 10 % moisture reduction the material was weighed and analyzed with the NIR spectrometer. Principal Component Analysis (PCA) and Partial Least Squares Regression (PLS-R) were applied to the spectral signatures and moisture values obtained during drying. Combining NIR spectroscopy with PLS-R, the moisture of the pulps under different conditions was estimated with R²p ranging from 0.89 to 0.98 for independent validation and root mean square error (RMSEP) ranging from 5.1 % to 18.3 %. The PLS-R models were applied to NIR spectra taken from other pulps and the estimates were consistent. The models showed robustness for monitoring pulps subjected to moisture variations. |
format |
article |
topic_facet |
Q60 - Traitement des produits agricoles non alimentaires U30 - Méthodes de recherche spectroscopie infrarouge spectroscopie propriété physicochimique http://aims.fao.org/aos/agrovoc/c_28568 http://aims.fao.org/aos/agrovoc/c_14498 http://aims.fao.org/aos/agrovoc/c_1521 |
author |
Targino de Medeiros, Dayane Guedes Ramalho, Fernanda Maria Gomes Batista, Felipe Reis Prazeres Mascarenhas, Adriano Chaix, Gilles Gherardi Hein, Paulo Ricardo |
author_facet |
Targino de Medeiros, Dayane Guedes Ramalho, Fernanda Maria Gomes Batista, Felipe Reis Prazeres Mascarenhas, Adriano Chaix, Gilles Gherardi Hein, Paulo Ricardo |
author_sort |
Targino de Medeiros, Dayane |
title |
Water desorption monitoring of cellulose pulps by NIR spectroscopy |
title_short |
Water desorption monitoring of cellulose pulps by NIR spectroscopy |
title_full |
Water desorption monitoring of cellulose pulps by NIR spectroscopy |
title_fullStr |
Water desorption monitoring of cellulose pulps by NIR spectroscopy |
title_full_unstemmed |
Water desorption monitoring of cellulose pulps by NIR spectroscopy |
title_sort |
water desorption monitoring of cellulose pulps by nir spectroscopy |
url |
http://agritrop.cirad.fr/605233/ http://agritrop.cirad.fr/605233/3/605233.pdf |
work_keys_str_mv |
AT targinodemedeirosdayane waterdesorptionmonitoringofcellulosepulpsbynirspectroscopy AT guedesramalhofernandamaria waterdesorptionmonitoringofcellulosepulpsbynirspectroscopy AT gomesbatistafelipe waterdesorptionmonitoringofcellulosepulpsbynirspectroscopy AT reisprazeresmascarenhasadriano waterdesorptionmonitoringofcellulosepulpsbynirspectroscopy AT chaixgilles waterdesorptionmonitoringofcellulosepulpsbynirspectroscopy AT gherardiheinpauloricardo waterdesorptionmonitoringofcellulosepulpsbynirspectroscopy |
_version_ |
1792500573784768512 |