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Stir bar sorptive extraction coupled with GC/MS applied to honey: optimization of method and comparative study with headspace extraction techniques

Petretto, Giacomo L., Urgeghe, P. Paolo, Mascia, Ilaria, Fadda, Costantino, Rourke, Jonathan P. ORCID: https://orcid.org/0000-0002-8961-1021 and Pintore, Giorgio 2017. Stir bar sorptive extraction coupled with GC/MS applied to honey: optimization of method and comparative study with headspace extraction techniques. European Food Research and Technology 243 (5) , pp. 735-741. 10.1007/s00217-016-2787-9

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Abstract

The stir bar sorptive extraction (SBSE) techniques, coupled with gas chromatography–mass spectrometry, were successfully applied to the study of Eucalyptus honey’s for the determination of volatile organic compounds (VOCs). An optimization of the extraction method was carried out and the variables, NaCl concentration (used as matrix modifier), and the concentration of honey solution were studied targeting the whole VOCs composition. After the evaluation of the experiments, the best condition for the extraction of honey volatile components was 2 mol/L of NaCl and the more concentrated honey solution (0.5 g of honey per mL of water). Additionally, the results were compared with those obtained by two headspace (HS) techniques, namely solid-phase microextraction (SPME) and dynamic headspace (DHS). SBSE volatiles differ qualitatively and quantitatively from those obtained by the SPME and DHS methods. In any event, the chemical composition of Eucalyptus honey volatiles extracted by all three techniques shows the presence of some typical floral markers. Our results confirm a general trend reported in the literature, which show the higher sensitivity of SBSE in the extraction of less volatile compounds in comparison with HS methods.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Chemistry
Publisher: Springer Verlag (Germany)
ISSN: 1438-2377
Date of First Compliant Deposit: 17 January 2019
Date of Acceptance: 3 September 2016
Last Modified: 07 Nov 2023 01:49
URI: https://orca.cardiff.ac.uk/id/eprint/118511

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