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Optimisation and validation of a high-throughput semi-quantitative solid-phase microextraction method for analysis of fermentation aroma compounds in metabolomic screening studies of wines

Optimisation and validation of a high-throughput semi-quantitative solid-phase microextraction method for analysis of fermentation aroma compounds in metabolomic screening studies of wines
Optimisation and validation of a high-throughput semi-quantitative solid-phase microextraction method for analysis of fermentation aroma compounds in metabolomic screening studies of wines

Background and aims: metabolomic screening studies normally contain thousands of samples with each individual sample being thoroughly analysed for observed differences in multiple compounds. A comparative screen is often employed to narrow down the search field before undertaking an intensive quantitative search. This study optimised the parameters for two solid-phase microextraction (SPME) fibres recently reported to be optimum for the extraction of aroma compounds from a white wine and to create a validated comparative method with the optimised fibre for future metabolomic wine-screening studies. 

Methods and results: the analytical parameters for a 65-μm divinylbenzene/polydimethylsiloxane (DVB/PDMS) and a 100-μm polydimethylsiloxane (PDMS) fibre were determined based on salt concentration, sample dilution, extraction time and extraction temperature for an extensive library of aroma compounds at a concentration similar to that found in commercial white wines. After optimisation, the best fibre was selected and a semi-quantitative high-throughput method was developed. This method was validated for 34 aroma compounds commonly found in wines, with similar results found in three media (model wine, spiked bag-in-box wine and a spiked laboratory-made wine) thus negating any potential matrix effect found when analysing different wines. 

Conclusions: the 65-μm PDMS/DVB fibre was the best for fermentation bouquet studies, and a newly devised method was developed for semi-quantitative high-throughput metabolomic screening studies involving 34 aroma compounds common to white wine fermentation bouquet. 

Significance of the study: a semi-quantitative high-throughput method has been validated in a range of different wine media; it is fast and inexpensive and will find application in wine metabolomic studies as it allows one to narrow down the initial search field before employing the more expensive and time-consuming, traditional quantitative approach.

High-throughput screening, Matrix effect, Metabolomics, Solid-phase microextraction (SPME), Validation and optimisation, Wine aroma compounds
1322-7130
3-10
Haggerty, J.
5dcf908c-e77f-4e6a-b0a6-044b395b3897
Bowyer, P. K.
e3c22838-5310-4768-b833-052abfef5e6f
Jiranek, V.
8e5a8dfd-f5b2-43e3-928b-11dff324abc7
Taylor, D.K.
f0f555a8-5b2a-4e29-9248-123111c9c4e1
Haggerty, J.
5dcf908c-e77f-4e6a-b0a6-044b395b3897
Bowyer, P. K.
e3c22838-5310-4768-b833-052abfef5e6f
Jiranek, V.
8e5a8dfd-f5b2-43e3-928b-11dff324abc7
Taylor, D.K.
f0f555a8-5b2a-4e29-9248-123111c9c4e1

Haggerty, J., Bowyer, P. K., Jiranek, V. and Taylor, D.K. (2016) Optimisation and validation of a high-throughput semi-quantitative solid-phase microextraction method for analysis of fermentation aroma compounds in metabolomic screening studies of wines. Australian Journal of Grape and Wine Research, 22 (1), 3-10. (doi:10.1111/ajgw.12167).

Record type: Article

Abstract

Background and aims: metabolomic screening studies normally contain thousands of samples with each individual sample being thoroughly analysed for observed differences in multiple compounds. A comparative screen is often employed to narrow down the search field before undertaking an intensive quantitative search. This study optimised the parameters for two solid-phase microextraction (SPME) fibres recently reported to be optimum for the extraction of aroma compounds from a white wine and to create a validated comparative method with the optimised fibre for future metabolomic wine-screening studies. 

Methods and results: the analytical parameters for a 65-μm divinylbenzene/polydimethylsiloxane (DVB/PDMS) and a 100-μm polydimethylsiloxane (PDMS) fibre were determined based on salt concentration, sample dilution, extraction time and extraction temperature for an extensive library of aroma compounds at a concentration similar to that found in commercial white wines. After optimisation, the best fibre was selected and a semi-quantitative high-throughput method was developed. This method was validated for 34 aroma compounds commonly found in wines, with similar results found in three media (model wine, spiked bag-in-box wine and a spiked laboratory-made wine) thus negating any potential matrix effect found when analysing different wines. 

Conclusions: the 65-μm PDMS/DVB fibre was the best for fermentation bouquet studies, and a newly devised method was developed for semi-quantitative high-throughput metabolomic screening studies involving 34 aroma compounds common to white wine fermentation bouquet. 

Significance of the study: a semi-quantitative high-throughput method has been validated in a range of different wine media; it is fast and inexpensive and will find application in wine metabolomic studies as it allows one to narrow down the initial search field before employing the more expensive and time-consuming, traditional quantitative approach.

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More information

Accepted/In Press date: 27 April 2015
e-pub ahead of print date: 22 September 2015
Published date: 27 January 2016
Keywords: High-throughput screening, Matrix effect, Metabolomics, Solid-phase microextraction (SPME), Validation and optimisation, Wine aroma compounds

Identifiers

Local EPrints ID: 482616
URI: http://eprints.soton.ac.uk/id/eprint/482616
ISSN: 1322-7130
PURE UUID: 00bf30fd-3f93-43ce-84f4-817e977b1db4
ORCID for V. Jiranek: ORCID iD orcid.org/0000-0002-9775-8963

Catalogue record

Date deposited: 10 Oct 2023 17:01
Last modified: 18 Mar 2024 04:12

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Contributors

Author: J. Haggerty
Author: P. K. Bowyer
Author: V. Jiranek ORCID iD
Author: D.K. Taylor

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