Multivariate calibration for quantitative analysis of eucalypt kraft pulp by NIR spectrometry

dc.creatorFardim, P
dc.creatorFerreira, MMC
dc.creatorDuran, N
dc.date2002
dc.date2014-11-14T22:53:56Z
dc.date2015-11-26T17:17:38Z
dc.date2014-11-14T22:53:56Z
dc.date2015-11-26T17:17:38Z
dc.date.accessioned2018-03-29T00:05:30Z
dc.date.available2018-03-29T00:05:30Z
dc.identifierJournal Of Wood Chemistry And Technology. Marcel Dekker Inc, v. 22, n. 1, n. 67, n. 81, 2002.
dc.identifier0277-3813
dc.identifierWOS:000176343100006
dc.identifier10.1081/WCT-120004435
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/82049
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/82049
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/82049
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1282498
dc.descriptionNear infrared spectrometry and multivariate data analysis were applied to predict the chemical composition and physico-chemical characteristics of eucalypt unbleached kraft pulps obtained at different laboratory pulping conditions. Viscosity, degree of polymerization (DP), kappa, brightness and contents of glucan, xylan, uronic acids, and lignin were the modeled variables using diffuse reflectance near infrared spectra obtained on pulp handsheets and the partial least squares (PLS) method. Models with two to four PLS components and good predictive ability were established after first derivative spectra pre-processing and application of cross-validation methodology. The predictive models can reduce the time consuming traditional analyses in the pulping industry laboratories, and also lead to a better process monitoring for suitable applications.
dc.description22
dc.description1
dc.description67
dc.description81
dc.languageen
dc.publisherMarcel Dekker Inc
dc.publisherNew York
dc.publisherEUA
dc.relationJournal Of Wood Chemistry And Technology
dc.relationJ. Wood Chem. Technol.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectkraft pulp
dc.subjectcarbohydrates
dc.subjectautomation
dc.subjectmultivariate calibration
dc.subjectNIR spectrometry
dc.subjectNear-infrared Spectroscopy
dc.subjectOrthogonal Signal Correction
dc.subjectLeast-squares Regression
dc.subjectScatter-correction
dc.subjectSpectra
dc.subjectKinetics
dc.subjectLignin
dc.subjectWood
dc.subjectNmr
dc.titleMultivariate calibration for quantitative analysis of eucalypt kraft pulp by NIR spectrometry
dc.typeArtículos de revistas


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