umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Characterization of dissolving pulp by multivariate data analysis of FT-IR and NMR spectra
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences (SLU), Umeå, Sweden.
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Show others and affiliations
2011 (English)In: Nordic Pulp & Paper Research Journal, ISSN 0283-2631, E-ISSN 2000-0669, Vol. 26, no 4, 398-409 p.Article in journal (Refereed) Published
Abstract [en]

Several grades of dissolving pulps have been analyzed using FT-IR, solid state13C NMR and two dimensional1H-13C HSQC NMR spectroscopy to obtain an extensive data set for further characterization. The selection of the dissolving pulps with high cellulose purity was based on pulping process, wood type and, intrinsic pulp viscosity. Multivariate data analysis was used to investigate how information derived from the spectroscopic data correlate to each of the selection criterion: wood type, process type and viscosity. The spectroscopic methods were also compared with common dissolving pulp analyses to see to what extent spectroscopy can predict pulp analyses.

Correlations were found between the spectroscopic data and the pulp characteristics process type and wood type, but not for intrinsic viscosity. A reason for a good correlation to wood type appears to be the hemicelluloses composition, expressed as the xylose:mannose ratio by 2D NMR spectroscopy. For process type, 2D NMR showed the most characteristic property to be the amount of reducing ends in the cellulosic samples, which in turn strongly correlates to lower molecular weight for the sulfite samples as determined by molecular weight distribution.

Many common, yet expensive and time consuming, pulp analyses could also be predicted by the achieved models. It can be concluded that investigations of dissolving pulp characteristics, especially concerning different wood and process types, can take advantage of the methods and models presented in this study.

Place, publisher, year, edition, pages
Stockholm: AB Svensk papperstidning , 2011. Vol. 26, no 4, 398-409 p.
Keyword [en]
Cellulose, Dissolving pulp, Hemicelluloses, FT-IR spectroscopy, Multivariate data analysis, NMR spectroscopy, Pulp viscosity, Wood type
National Category
Chemical Sciences Paper, Pulp and Fiber Technology
Identifiers
URN: urn:nbn:se:umu:diva-51978ISI: 000298868000006OAI: oai:DiVA.org:umu-51978DiVA: diva2:490833
Available from: 2012-02-06 Created: 2012-02-06 Last updated: 2017-12-08Bibliographically approved
In thesis
1. Characterization of cellulose pulps and the influence of their properties on the process and production of viscose and cellulose ethers
Open this publication in new window or tab >>Characterization of cellulose pulps and the influence of their properties on the process and production of viscose and cellulose ethers
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Today’s market offers an ever-increasing range of cellulose pulps (derivative pulps) made fromvarious wood types through different delignification processes. Each pulp segment has its uniquecharacteristics, which makes it difficult for the producer of cellulose derivatives to choose the mostsuitable pulp for optimum processability and product quality. The objective of this study was toimprove knowledge of cellulose pulps and to describe how different pulp properties affectprocessability and quality in the production of viscose dope and cellulose ethers.Ten pulp samples were investigated, originating from both sulfite and sulfate processes, with highand low viscosities and with softwood and hardwood as raw material. The pulps were analyzed fortheir properties and then processed to viscose dope and a cellulose ether in two separate pilotfacilities. The intermediates in the viscose process as well as the quality of the viscose dope andcellulose ether were analyzed and the results correlated to pulp properties.Multivariate regression methods were applied to investigate the dominating physical and chemicalproperties of each pulp and pulp segment, and to study the use of spectroscopic analyses inpredicting pulp origin, concentration and composition of hemicelluloses as well as the content ofreducing end groups in cellulose. For the production of viscose dope, the models presented showedthe most important pulp properties for good cellulose reactivity and viscose filterability. In addition,the properties affecting gel formation, flocculation, degree of substitution and clarity in theproduction of cellulose ether were highlighted. The study also emphasized the need to supplementthe use of conventional analyses on pulps and viscose intermediates with other analytical methods,such as molecular weight distribution and carbohydrate analysis, to better predict the quality ofboth viscose dope and viscose fiber.The results of the present study could be useful to predict the origin and properties of new pulps, toreplace or supplement otherwise expensive pulp analyses, and to assess the impact of pulpproperties on the production of cellulose derivatives without extensive pilot-scale trials.

Place, publisher, year, edition, pages
Umeå: Umeå Universitet, 2012. 80 p.
Keyword
cellulose ether, dissolving pulp, ethyl hydroxyethyl cellulose, hardwood, multivariate data analysis, reactivity, softwood, sulfate, sulfite, viscose
National Category
Chemical Engineering
Identifiers
urn:nbn:se:umu:diva-54008 (URN)978-91-7459-406-5 (ISBN)
Public defence
2012-05-11, Naturvetarhuset, N320, Umeå Universitet, Umeå, 10:00 (English)
Opponent
Supervisors
Available from: 2012-04-20 Created: 2012-04-11 Last updated: 2012-04-20Bibliographically approved
2. Multivariate Analysis of 2D-NMR Spectroscopy: Applications in wood science and metabolomics
Open this publication in new window or tab >>Multivariate Analysis of 2D-NMR Spectroscopy: Applications in wood science and metabolomics
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Wood is our most important renewable resource. We need better quality and quantity both according to the wood itself and the processes that are using wood as a raw material. Hence, the understanding of the chemical composition of the wood is of high importance. Improved and new methods for analyzing wood are important to achieve better knowledge about both refining processes and raw material. The combination of NMR and multivariate analyses (MVA) is a powerful method for these analyses but so far it has been limited mainly to 1D NMR. In this project, we have developed methods for combining 2D NMR and MVA in both wood analysis and metabolomics. This combination was used to compare samples from normal wood and tension wood, and also trees with a down regulation of a pectin responsible gene. Dissolving pulp was also examined using the same combination of 2D-NMR and MVA, together with FT-IR and solid state 13C CP-MAS NMR. Here we focused on the difference between wood type (softwood and hardwood), process type (sulfite and sulfate) and viscosity. These methods confirmed and added knowledge about the dissolving pulp. Also reactivity was compared in relation to morphology of the cellulose and pulp composition. Based on the method and software used in the wood analysis projects, a new method called HSQC-STOCSY was developed. This method is especially suited for assignment of substances in complex mixtures. Peaks in 2D NMR spectra that correlate between different samples are plotted in correlation plots resembling regular NMR spectra. These correlation plots have great potential in identifying individual components in complex mixtures as shown here in a metabolic data set. This method could potentially also be used in other areas such as drug/target analyses, protein dynamics and assignment of wood spectra.

Place, publisher, year, edition, pages
Umeå: Umeå Universitet, 2013. 56 p.
Keyword
2D NMR, HSQC, cellulose, ligning, STOCSY, HSQC-STOCSY, crystallinity
National Category
Chemical Sciences
Research subject
biological chemistry
Identifiers
urn:nbn:se:umu:diva-80201 (URN)978-91-7459-728-8 (ISBN)
Public defence
2013-10-04, KBC-huset, KB3B1, Umeå universitet, Umeå, 13:00 (Swedish)
Opponent
Supervisors
Available from: 2013-09-13 Created: 2013-09-11 Last updated: 2013-09-11Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Strunk, PeterÖman, TommyGorzsás, AndrásHedenström, MattiasEliasson, Bertil
By organisation
Department of Chemistry
In the same journal
Nordic Pulp & Paper Research Journal
Chemical SciencesPaper, Pulp and Fiber Technology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 619 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf