Interactive use of linear retention indices on polar and apolar columns with an MS-library for reliable characterisation of Australian tea tree and other Melaleuca sp. oils

Shellie, R, Marriott, P, Zappia, G, Mondello, L and Dugo, G 2003, 'Interactive use of linear retention indices on polar and apolar columns with an MS-library for reliable characterisation of Australian tea tree and other Melaleuca sp. oils', Journal of Essential Oil Research, vol. 15, no. 5, pp. 305-312.


Document type: Journal Article
Collection: Journal Articles

Title Interactive use of linear retention indices on polar and apolar columns with an MS-library for reliable characterisation of Australian tea tree and other Melaleuca sp. oils
Author(s) Shellie, R
Marriott, P
Zappia, G
Mondello, L
Dugo, G
Year 2003
Journal name Journal of Essential Oil Research
Volume number 15
Issue number 5
Start page 305
End page 312
Total pages 7
Publisher Allured Publishing
Abstract Australian tea tree oil from Melaleuca alternifolia and M. linariifolia is well known for exhibiting antibacterial, antifungal, and general antiseptic properties. Hence characterization of tea tree oil is important, as this leads to a better understanding of the important components contributing to the observed properties of the oil. GC/MS is widely used for this task. However, reliable identification of oil components is not always possible using mass spectral data only. Retention times or retention indices are often used to support the M S data. The present study investigated a number of different tea tree and other Melaleuca sp. oil samples, and reports qualitative and quantitative data for each sample. Characterization of the individual oil components was performed using a private MS library, which incorporates an interactive linear retention index filter. The method described in this report increases the ease of characterization of individual oil components, and allows a greater number to be reliably assigned. More than 80%10 of the components in the samples studied are now reliably identified.
Subject Separation Science
Copyright notice © 2003 Allured Publishing Corporation
ISSN 1041-2905
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