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On-line predictions of the aspen fibre and birch bark content in unbleached hardwood pulp, using NIR spectroscopy and multivariate data analysis
Linköpings universitet, Institutionen för fysik, kemi och biologi, Teknisk biologi. Linköpings universitet, Tekniska högskolan.
Linköpings universitet, Institutionen för fysik, kemi och biologi, Teknisk biologi. Linköpings universitet, Tekniska högskolan.ORCID-id: 0000-0001-9711-794X
Iggesund Paperboard AB.
2010 (engelsk)Inngår i: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, ISSN 0169-7439, Vol. 103, nr 1, s. 53-58Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

An on-line fibre-based near-infrared (NIR) spectrometric analyser was adapted for on-site process analysis at an integrated paperboard mill. The analyser uses multivariate techniques for the quantitative predication of the aspen fibre (aspen) and the birch bark contents of sheets of unbleached hardwood pulp. The NIR analyser is a prototype constructed from standard NIR components. The spectroscopic data was processed by using principal component analysis (PCA) and partial least square (PLS) regression. Three sample sets were collected from three experimental designs, each composed of known pulp contents of birch, aspen and birch bark. Sets I and 2 were used for model calibration and set 3 was used to validate the models. The PLS model that produced the best predictions gave an error of prediction (RMSEP) of 13% for aspen and less than 2% for birch bark. Eight components resulted in an (RX)-X-2 of 99.3%, (RY)-Y-2 of 99.6%. and Q(2) of 95.3%. For additional validation of aspen, three unbleached hardwood samples from the mills production were calculated to lie between -7% and +6%, regarding to the PIS model. When vessel cells were counted under a light microscope a value for the aspen content of 4.7% was obtained. The predictive models evaluated were suitable for quality assessments rather than quantitative determination.

sted, utgiver, år, opplag, sider
Elsevier Science B.V., Amsterdam. , 2010. Vol. 103, nr 1, s. 53-58
Emneord [en]
Near-infrared, Multivariate data, Aspen predictions, On-line analyser
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-58656DOI: 10.1016/j.chemolab.2010.05.009ISI: 000280626300006OAI: oai:DiVA.org:liu-58656DiVA, id: diva2:344877
Tilgjengelig fra: 2010-08-22 Laget: 2010-08-20 Sist oppdatert: 2019-01-22

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