Capítulo de livro Revisado por pares

Analysis of Timber and Paper

2013; Linguagem: Inglês

10.2134/agronmonogr44.c22

ISSN

2156-3276

Autores

Laurence R. Schimleck, Jerry Workman,

Tópico(s)

Architecture and Computational Design

Resumo

Chapter 22 Analysis of Timber and Paper Laurence Schimleck, Laurence Schimleck D.B. Warrell School of Forest Resoruces, The University of Georgia, Athens, Georgia, USASearch for more papers by this authorJerry Workman Jr., Jerry Workman Jr. Argose Incorporated, Waltham, Massachusetts, USASearch for more papers by this author Laurence Schimleck, Laurence Schimleck D.B. Warrell School of Forest Resoruces, The University of Georgia, Athens, Georgia, USASearch for more papers by this authorJerry Workman Jr., Jerry Workman Jr. Argose Incorporated, Waltham, Massachusetts, USASearch for more papers by this author Book Editor(s):Craig A. Roberts, Craig A. RobertsSearch for more papers by this authorJerry Workman Jr., Jerry Workman Jr.Search for more papers by this authorJames B. Reeves III, James B. Reeves IIISearch for more papers by this author First published: 01 January 2004 https://doi.org/10.2134/agronmonogr44.c22Citations: 3Book Series:Agronomy Monographs AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary This chapter discusses the methods of analysis of timber and paper using near-infrared (NIR) spectroscopy. NIR spectroscopy has been shown to be an extremely valuable tool in the analysis of multiple components directly related to pulp chemistry and paper production. Considerable interest exists in using NIR spectroscopy for tree breeding purposes and for resource evaluation because it would allow the routine analysis of large numbers of samples. One of the most important wood properties is wood density, and several studies have investigated NIR spectroscopy as a rapid method for its determination in conjunction with several other properties. Near-infrared spectroscopy has been used to estimate wood color with the aim of using it as an indicator of E. globulus pulp properties. The yield of pulp at a given kappa number depends on the relative proportions of each of the major wood components. Pulp yield is particularly important in the pulp and paper industry. References Antti, H., M. Sjöström, and L. Wallbäcks 1996. Multivariate calibration models using near-infrared spectroscopy on pulp and paper industrial applications. J. Chemometrics. 10: 591–603. 10.1002/(SICI)1099-128X(199609)10:5/6 3.0.CO;2-L CASWeb of Science®Google Scholar Antti, H., D. Alexandersson, M. Sjöström, and L. Wallbäcks 2000. Detection of kappa number distributions in kraft pulps using NIR spectroscopy and multivariate calibration. Tappi J. 83 (3): 102–108. Google Scholar Axrup, L., K. Markides, and T. Nilsson 2000. Using miniature diode array NIR spectrometers for analysing wood chips and bark samples in motion. J. Chemometrics. 14: 562–572. 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