Quantitation of trace-level (μg/L to ng/L) volatile compounds is routinely performed in a broad range of applications, including analyses of odorants, pesticide residues, or toxins in foodstuffs and related matrices. Conventional analyses based on gas chromatography-mass spectrometry (GC-MS) are limited by low throughput, and ambient approaches to sample introduction have typically had poor sensitivity. We prepared polydimethylsiloxane-coated stainless steel meshes for extraction and preconcentration of volatiles (Solid Phase Mesh Enhanced Sorption from Headspace, SPMESH), which could then be analyzed by Direct Analysis in Real Time (DART)-MS. The SPMESH cards were characterized by electron microscopy, and figures of merit for the approach were determined using two representative volatiles: 2-isobutyl-3-methoxypyrazine (IBMP) and linalool. Using DART-MS/MS and isotopically labeled internal standards, we achieved detection limits of 21 ng/L and 71 μg/L for IBMP and linalool in water. Good accuracy and precision could also be achieved for IBMP spikes in grape macerate, although accuracy for linalool was compromised by the presence of interferences. Detection limits could be further improved by an order of magnitude through the use of high resolution (HR) MS. Because extraction can be performed inexpensively in parallel and because it requires short data acquisition times (<1 min), SPMESH-DART-MS may be appropriate for high throughput trace level volatile analyses.

Headspace (HS) extraction and preconcentration of volatiles by solid-phase microextraction (SPME) can improve the sensitivity and selectivity of ambient ionization-mass spectrometry approaches like direct analysis in real time (DART), but previous approaches to HS-SPME-DART-MS have been challenging to automate. This report describes the production of inexpensive, reusable solid-phase mesh-enhanced sorption from headspace (SPMESH) sheets by laser-etching mesh patterns into poly(dimethylsiloxane) (PDMS) sheets. Parallel headspace extraction of volatiles from multiple samples can be achieved by positioning the SPMESH sheets over multiwell plates and then attaching to a positioning stage for automated DART-MS quantitation. Using three representative odorants (3-isobutyl-2-methoxypyrazine, linalool, and methyl anthranilate), we achieved μg/L−ng/L detection limits with SPMESH-DART-MS, with the DART-MS step requiring only 17 min for 24 samples. Acceptable repeatability (24% or less day-to-day variation) and excellent recovery from a grape matrix (99−106%) could be achieved. Through use of a Teflon gasket and stainless steel spacers, cross-contamination between the headspaces of adjacent wells could be limited to roughly 1%. Optimum SPMESH extraction and desorption parameters were determined by response surface methodology. In summary, sheet-based SPMESH provides a sensitive, readily automated approach for coupling with DART-MS and achieving high-throughput trace-level volatile analyses.

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The level of hydrogen sulfide (HS) can increase during abiotic storage of wines, and potential latent sources of HS are still under investigation. We demonstrate that elemental sulfur (S) residues on grapes not only can produce HS during fermentation but also can form precursors capable of generating additional HS after bottle storage for 3 months. HS could be released from S-derived precursors by addition of a reducing agent (TCEP), but not by addition of strong brine to induce release of HS from metal sulfide complexes. The size of the TCEP-releasable pool varied among yeast strains. Using the TCEP assay, multiple polar S-derived precursors were detected following normal-phase preparative chromatography. Using reversed-phase liquid chromatography and high-resolution mass spectrometry, we detected an increase in the levels of diglutathione trisulfane (GSSSG) and glutathione disulfide (GSSG) in S-fermented red wine and an increase in the levels of glutathione S-sulfonate (GSSO) and tetrathionate (SO) in S-fermented white wine as compared to controls. GSSSG, but not SO, was shown to evolve HS in the presence of TCEP. Pathways for the formation of GSSSG, GSSG, GSSO, and SO from S are proposed.

Ambient ionization mass spectrometric (AI-MS) techniques like direct analysis in real time (DART) offer the potential for rapid quantitative analyses of trace volatiles in food matrices, but performance is generally limited by the lack of preconcentration and extraction steps. The sensitivity and selectivity of AI-MS approaches can be improved through solid-phase microextraction (SPME) with appropriate thin-film geometries, for example, solid-phase mesh-enhanced sorption from headspace (SPMESH). This work improves the SPMESH-DART-MS approach for use in food analyses and validates the approach for trace volatile analysis for two compounds in real samples (grape macerates). SPMESH units prepared with different sorbent coatings were evaluated for their ability to extract a range of odor-active volatiles, with poly(dimethylsiloxane)/divinylbenzene giving the most satisfactory results. In combination with high-resolution mass spectrometry (HRMS), detection limits for SPMESH-DART-MS under 4 ng/L in less than 30 s acquisition times could be achieved for some volatiles [3-isobutyl-2-methoxypyrazine (IBMP) and β-damascenone]. A comparison of SPMESH-DART-MS and SPME-GC-MS quantitation of linalool and IBMP demonstrates excellent agreement between the two methods for real grape samples (r ≥ 0.90), although linalool measurements appeared to also include isobaric interference.