The assessment of тт-тт selective stationary phases for two-dimensional HPLC analysis of foods : application to the analysis of coffee

Mnatsakanyan, Mariam, Stevenson, Paul G., Shock, David, Conlan, Xavier A., Goodie, Tiffany A., Spencer, Kylie N., Barnett, Neil W., Francis, Paul S. and Shalliker, R. Andrew 2010, The assessment of тт-тт selective stationary phases for two-dimensional HPLC analysis of foods : application to the analysis of coffee, Talanta, vol. 82, no. 4, pp. 1349-1357.

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Title The assessment of тт-тт selective stationary phases for two-dimensional HPLC analysis of foods : application to the analysis of coffee
Author(s) Mnatsakanyan, Mariam
Stevenson, Paul G.
Shock, David
Conlan, Xavier A.
Goodie, Tiffany A.
Spencer, Kylie N.
Barnett, Neil W.
Francis, Paul S.
Shalliker, R. Andrew
Journal name Talanta
Volume number 82
Issue number 4
Start page 1349
End page 1357
Total pages 9
Publisher Elsevier B.V.
Place of publication Amsterdam, The Netherlands
Publication date 2010-09-15
ISSN 0039-9140
1873-3573
Keyword(s) two-dimensional HPLC
natural Products
selectivity
coffee
Summary Differences between alkyl, dipole–dipole, hydrogen bonding, and π-π selective surfaces represented by non-resonance and resonance π-stationary phases have been assessed for the separation of ‘Ristretto’ café espresso by employing 2DHPLC techniques with C18 phase selectivity detection. Geometric approach to factor analysis (GAFA) was used to measure the detected peaks (N), spreading angle (β), correlation, practical peak capacity (np) and percentage usage of the separations space, as an assessment of selectivity differences between regional quadrants of the two-dimensional separation plane. Although all tested systems were correlated to some degree to the C18 dimension, regional measurement of separation divergence revealed that performance of specific systems was better for certain sample components. The results illustrate that because of the complexity of the ‘real’ sample obtaining a truly orthogonal two-dimensional system for complex samples of natural origin may be practically impossible.
Language eng
Field of Research 030108 Separation Science
Socio Economic Objective 970103 Expanding Knowledge in the Chemical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30031037

Document type: Journal Article
Collection: Centre for Biotechnology and Interdisciplinary Sciences (BioDeakin)
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