NIRS Characterization of Paper Pulps to Predict Kappa Number

Rice is one of the most abundant food crops in the world and its straw stands as an important source of fibres both from an economic and an environmental point of view. Pulp characterization is of special relevance in works involving alternative raw materials, since pulp properties are closely linke...

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Main Authors: Ana Moral, Elena Cabeza, Roberto Aguado, Antonio Tijero
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2015/104609
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author Ana Moral
Elena Cabeza
Roberto Aguado
Antonio Tijero
author_facet Ana Moral
Elena Cabeza
Roberto Aguado
Antonio Tijero
author_sort Ana Moral
collection DOAJ
description Rice is one of the most abundant food crops in the world and its straw stands as an important source of fibres both from an economic and an environmental point of view. Pulp characterization is of special relevance in works involving alternative raw materials, since pulp properties are closely linked to the quality of the final product. One of the analytical techniques that can be used in pulp characterization is near-infrared spectroscopy (NIRS). The use of NIRS has economic and technical advantages over conventional techniques. This paper aims to discuss the convenience of using NIRS to predict Kappa number in rice straw pulps produced under different conditions. We found that the resulting Kappa number can be acceptably estimated by NIRS, as the errors obtained with that method are similar to those found for other techniques.
format Article
id doaj-art-06f85dce81bd4cbfb693e46244777738
institution OA Journals
issn 2314-4920
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language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series Journal of Spectroscopy
spelling doaj-art-06f85dce81bd4cbfb693e462447777382025-08-20T02:02:51ZengWileyJournal of Spectroscopy2314-49202314-49392015-01-01201510.1155/2015/104609104609NIRS Characterization of Paper Pulps to Predict Kappa NumberAna Moral0Elena Cabeza1Roberto Aguado2Antonio Tijero3Chemical Engineering Department, Experimental Sciences Faculty, Pablo de Olavide University, Road of Utrera km 1, 41013 Seville, SpainChemical Engineering Department, Experimental Sciences Faculty, Pablo de Olavide University, Road of Utrera km 1, 41013 Seville, SpainGrupo de Celulosa y Papel, Chemical Engineering Department, Faculty of Chemistry, Complutense University of Madrid, Avenue Complutense s/n, 28040 Madrid, SpainGrupo de Celulosa y Papel, Chemical Engineering Department, Faculty of Chemistry, Complutense University of Madrid, Avenue Complutense s/n, 28040 Madrid, SpainRice is one of the most abundant food crops in the world and its straw stands as an important source of fibres both from an economic and an environmental point of view. Pulp characterization is of special relevance in works involving alternative raw materials, since pulp properties are closely linked to the quality of the final product. One of the analytical techniques that can be used in pulp characterization is near-infrared spectroscopy (NIRS). The use of NIRS has economic and technical advantages over conventional techniques. This paper aims to discuss the convenience of using NIRS to predict Kappa number in rice straw pulps produced under different conditions. We found that the resulting Kappa number can be acceptably estimated by NIRS, as the errors obtained with that method are similar to those found for other techniques.http://dx.doi.org/10.1155/2015/104609
spellingShingle Ana Moral
Elena Cabeza
Roberto Aguado
Antonio Tijero
NIRS Characterization of Paper Pulps to Predict Kappa Number
Journal of Spectroscopy
title NIRS Characterization of Paper Pulps to Predict Kappa Number
title_full NIRS Characterization of Paper Pulps to Predict Kappa Number
title_fullStr NIRS Characterization of Paper Pulps to Predict Kappa Number
title_full_unstemmed NIRS Characterization of Paper Pulps to Predict Kappa Number
title_short NIRS Characterization of Paper Pulps to Predict Kappa Number
title_sort nirs characterization of paper pulps to predict kappa number
url http://dx.doi.org/10.1155/2015/104609
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