liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Surface analytical methods and multivariate data analysis applied to lectin panels
Linköping University, Department of Physics, Chemistry and Biology, Applied Physics. Linköping University, The Institute of Technology.
2004 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In this thesis lectin panels on gold wafers were utilized to investigate sera from different mammals and meat juices from various species of animals. Lectins, which are a group of diverse, natural proteins recognize and bind to different carbohydrate structures present on the sera proteins and on the proteins in the different meat juices. The binding patterns from the relatively unspecific interactions between lectins and carbohydrate structures were evaluated with techniques based on ellipsometry. The resulting data was treated with multivariate data analysis (MVDA) techniques, especially principal component analysis (PCA), to identify separation or grouping of data.

It was shown that lectin panels combined with ellipsometric techniques and MVDA could be used to separate sera from different mammals and also a possible relation between species could be seen. Meat juices from the different species evaluated were also possible to separate and using a simple model based on an artificial neuronal net, it was also possible to classify meat juices from the mammals investigated. In spite of its great analytical potential, not much work has yet been done utilizing MVDA together with bioanalytical methods. The results in this thesis however, show great potential for combining lectin panels with MVDA.

This work, regarding lectin panels, was incorporated as a part of a EU-project, Nanocell. The aim of the Nanocell-project was to develop a biosensor consisting of a single biomolecule electrically interfaced to nanoelectrodes, which is sensed electronically/optically.

Place, publisher, year, edition, pages
Linköping: Linköpings universitet , 2004. , 28 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1123
Series
LiU-TEK-LIC, 52
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-24566Local ID: 6735ISBN: 91-85295-64-7 (print)OAI: oai:DiVA.org:liu-24566DiVA: diva2:244887
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-11-13
List of papers
1. Investigation of sera from various species by using lectin affinity arrays and scanning ellipsometry
Open this publication in new window or tab >>Investigation of sera from various species by using lectin affinity arrays and scanning ellipsometry
Show others...
2005 (English)In: Analytica Chimica Acta, ISSN 0003-2670, E-ISSN 1873-4324, Vol. 530, no 2, 167-171 p.Article in journal (Refereed) Published
Abstract [en]

Serum proteins of different species and of different human blood groups exhibit various protein glycosylation patterns. Sera from human, pig, sheep and guinea pig have been applied to a panel of eight different lectins immobilized on a gold wafer. The biorecognition has been evaluated with scanning ellipsometry and the two-dimensional matrices obtained have been treated with image analysis and MVDA for evaluation. The results showed a clear difference in protein binding pattern between the different species and thereby separation of the different sera could be made. Dendograms indicate that human and pig sera are the most related of the four different sera investigated.

Keyword
Serum proteins, lectins, scanning ellipsometry, image analysis, multivariate data analysis
National Category
Chemical Sciences
Identifiers
urn:nbn:se:liu:diva-12466 (URN)10.1016/j.aca.2004.09.022 (DOI)
Available from: 2008-09-06 Created: 2008-09-06 Last updated: 2017-12-13Bibliographically approved
2. Separation of meat juice from various animals using a lectin panel and ellipsometry
Open this publication in new window or tab >>Separation of meat juice from various animals using a lectin panel and ellipsometry
(English)Manuscript (preprint) (Other academic)
Abstract [en]

In this work simple microcontact printed gold-wafers were used to make a lectin panel for investigation and separation of different meat juices from fresh meat of cattle, chicken, pig, cod, turkey and lamb. Seven different lectins were thus attached to gold surfaces using the streptavidin-biotin method. Lectins recognize and bind specifically to carbohydrate structures present on different proteins. The bio-recognition was evaluated with null ellipsometry and the data obtained was related to an internal standard of lactoferrin. The data was evaluated with multivariate data analysis techniques to identify possible separation or grouping of data. Scanning ellipsometry was used for visualization of the binding pattern of the lectins and the meat juice proteins. The 2-dimensional images obtained could be used to visualize the protein distribution, furthermore, to exclude anomalies. The results showed that the different meat juices could be separated from each other. Using a simple model based on an artificial neuronal net, it was also possible to classify meat juices from the mammals investigated.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-100839 (URN)
Available from: 2013-11-13 Created: 2013-11-13 Last updated: 2013-11-13

Open Access in DiVA

No full text

Authority records BETA

Carlsson, Jenny

Search in DiVA

By author/editor
Carlsson, Jenny
By organisation
Applied PhysicsThe Institute of Technology
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 75 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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