ArticleJournal of separation science2026
Volatilomic Differentiation of Protected-Origin Italian Balsamic Vinegars by HS-SPME-GC×GC-TOFMS.
Article in Journal of separation science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Volatilomic Differentiation of Protected-Origin Italian Balsamic Vinegars by HS-SPME-GC×GC-TOFMS.Journal of separation science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Balsamic vinegars produced under Protected Designation of Origin (PDO) and Protected Geographical Indication (PGI) schemes differ substantially in raw materials, processing intensity, and aging regimes. Although these differences are expected to shape their volatile composition, a comprehensive chemical characterization capable of reliably discriminating the two denominations remains analytically challenging. In this study, headspace solid-phase microextraction combined with comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (HS-SPME-GC×GC-TOFMS) was used to characterize PDO and PGI balsamic vinegars and to evaluate the feasibility of volatilomic differentiation between the investigated products. Extraction conditions were comparatively assessed using a pooled quality-control sample by evaluating two SPME fiber coatings (PDMS/DVB and DVB/CAR/PDMS) and a high ionic-strength condition (40% w/v NaCl); the DVB/CAR/PDMS fiber combined with salting-out provided the highest analytical response and was selected for subsequent analyses. After peak detection and alignment, 1397 features were initially detected and reduced to 227 after blank and artifact filtering. Mann-Whitney U testing with false discovery rate correction identified 100 statistically significant features, of which 67 were putatively identified. Multivariate analysis revealed a clear separation between PDO and PGI samples: analyzed PDO vinegars were enriched in furanoids, lactones, esters, aldehydes, acids, phenols, ketones, and alcohols, whereas PGI samples showed comparatively higher levels of terpenoids. These chemical trends align with the technological differences between the two production systems. Mapping volatile features to literature-reported odor descriptors suggested that the higher abundance of furanoids, lactones, and related compounds in the PDO samples may contribute to sweeter, caramel-like, creamy, balsamic, woody, and floral nuances. Overall, the integration of HS-SPME-GC×GC-TOFMS with statistical filtering and multivariate analysis demonstrates the feasibility of a volatilomic analytical workflow capable of differentiating selected PDO and PGI products, and establishes a methodological framework for future large-scale studies on authenticity and quality control.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.