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Polydimethylsiloxane/divinylbenzene overcoated fiber and its application to extract and analyse wine volatile compounds by solid-phase microextraction and gas chromatography coupled to mass spectrometry: direct immersion, headspace or both? | LitMetric

AI Article Synopsis

  • This study compares the efficiency of a specific fiber (PDMS/DVB overcoated fiber) in extracting volatile compounds from wine using two methods: direct immersion (DI) and headspace (HS), while also testing a combined approach (DI-HS).
  • Results indicate that the overcoated fiber performs slightly better than another type (triphasic phase fiber) and that the combined DI-HS method offers balanced extraction efficiency across different types of volatile compounds.
  • The study uses statistical techniques (principal component analysis and design of experiment) to guide the research and conclude that the DI-HS method is effective for analyzing wines and other complex mixtures with diverse volatility.

Article Abstract

In this study, a comparison of the efficiency of the commercially available polydimethylsiloxane/divinylbenzene (PDMS/DVB) overcoated (OC) fiber used in direct immersion (DI) or in headspace (HS), has been performed by extracting volatiles through solid-phase microextraction (SPME) from a red wine and from a wine model to confirm the results. It was also investigated if a combination of DI followed by HS in a single assay (DI-HS) can provide improvements as compared to the use in DI or in HS only. Furthermore, the use of OC fiber in HS mode was compared with the use of the triphasic phase (TP, in PDMS/CAR/DVB), known to provide good results in this application. To have information also on fiber specificity, the detected analytes were subdivided into three classes depending on their boiling point. Results show that: OC fiber gives slightly better performance as compared to TP fiber, demonstrating a high efficiency of the OC fiber also in HS mode. Then, comparing the use of the commercial OC fiber in HS, DI and in the combined DI-HS mode, explored for the first time in this study to extract volatiles from wine, the combination DI-HS resulted to provide a more balanced efficiency for all the three groups of analytes, thus being a good compromise when the analytes have a broad range of volatility. Principal component analysis (PCA) and the design of experiment (DoE) were exploited to plan experiments and to help interpreting the results, highlighting that the combined DI-HS approach can be successfully applied to the characterization of wines and of other matrices, where analytes of interest have a wide range of volatility.

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Source
http://dx.doi.org/10.1016/j.foodres.2021.110632DOI Listing

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