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Biosensor discrimination of meat juice from various animals using a lectin panel and ellipsometry

Carlsson, J; Winquist, F; Danielsson, Bengt LU and Lundström, I (2005) In Analytica Chimica Acta 547(2). p.229-236
Abstract
In this work, simple microcontact printed gold-wafers were used to make a lectin panel for investigation and discrimination 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 biorecognition 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 discrimination or grouping of data. Scanning ellipsometry was used for visualization of the binding pattern of the lectins... (More)
In this work, simple microcontact printed gold-wafers were used to make a lectin panel for investigation and discrimination 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 biorecognition 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 discrimination or grouping of data. Scanning ellipsometry was used for visualization of the binding pattern of the lectins and the meat juice proteins. The two-dimensional images obtained could be used to visualize the protein distribution, furthermore, to exclude anomalies. The results showed that the different meat juices from the six different species: cattle, chicken, pig, cod, turkey and lamb could be discriminated from each other. The results showed to be more repetitive for the mammalian meat juices. Using a simple model based on an artificial neuronal net, it was also possible to classify meat juices from the mammals investigated. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Analytica Chimica Acta
volume
547
issue
2
pages
229 - 236
publisher
Elsevier
external identifiers
  • wos:000231177700012
  • scopus:23044469871
ISSN
1873-4324
DOI
10.1016/j.aca.2005.05.054
language
English
LU publication?
yes
id
0015ca54-5cf2-4f7c-9848-17fa3d0889e9 (old id 158731)
date added to LUP
2007-07-16 08:44:08
date last changed
2017-01-01 07:28:01
@article{0015ca54-5cf2-4f7c-9848-17fa3d0889e9,
  abstract     = {In this work, simple microcontact printed gold-wafers were used to make a lectin panel for investigation and discrimination 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 biorecognition 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 discrimination or grouping of data. Scanning ellipsometry was used for visualization of the binding pattern of the lectins and the meat juice proteins. The two-dimensional images obtained could be used to visualize the protein distribution, furthermore, to exclude anomalies. The results showed that the different meat juices from the six different species: cattle, chicken, pig, cod, turkey and lamb could be discriminated from each other. The results showed to be more repetitive for the mammalian meat juices. Using a simple model based on an artificial neuronal net, it was also possible to classify meat juices from the mammals investigated.},
  author       = {Carlsson, J and Winquist, F and Danielsson, Bengt and Lundström, I},
  issn         = {1873-4324},
  language     = {eng},
  number       = {2},
  pages        = {229--236},
  publisher    = {Elsevier},
  series       = {Analytica Chimica Acta},
  title        = {Biosensor discrimination of meat juice from various animals using a lectin panel and ellipsometry},
  url          = {http://dx.doi.org/10.1016/j.aca.2005.05.054},
  volume       = {547},
  year         = {2005},
}