ArticleFoods (Basel, Switzerland)2020
Comprehensive 2D Gas Chromatography with TOF-MS Detection Confirms the Matchless Discriminatory Power of Monoterpenes and Provides In-Depth Volatile Profile Information for Highly Efficient White Wine Varietal Differentiation.
Article in Foods (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- From detail to diversity: Capturing the chemical signature of non-Food chemistry: X · 2026Article
- Low-pressure cold plasma pretreatment: Impact on quality attributes of "Fan Retief" guava and efficacy against Colletotrichum gloeosporioides.Journal of food science · 2025Article
- Comparative Analysis of the Evolution of Green Leaf Volatiles and Aroma in SixFoods (Basel, Switzerland) · 2024Article
- Comprehensive two-dimensional gas chromatography with flow modulator coupled via tube plasma ionization to an atmospheric pressure high-resolution mass spectrometer for the analysis of vermouth volatile profile.Analytical and bioanalytical chemistry · 2023Article
- A Targeted and an Untargeted Metabolomics Approach to the Volatile Aroma Profile of Young 'Maraština' Wines.Metabolites · 2022Article
- Diversity of Volatile Aroma Compound Composition Produced by Non-Foods (Basel, Switzerland) · 2022Article
- Aroma Clouds of Foods: A Step Forward to Unveil Food Aroma Complexity Using GC × GC.Frontiers in chemistry · 2022Review
- Special Issue on Flavour Volatiles of Wine.Foods (Basel, Switzerland) · 2021Article
- Isolation and Identification of a High-Yield Ethyl Caproate-Producing Yeast FromFrontiers in microbiology · 2021Article
Corrections and comments
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3 authors.
Funding
Abstract
To differentiate white wines from Croatian indigenous varieties, volatile aroma compounds were isolated by headspace solid-phase microextraction (HS-SPME) and analyzed by comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC-TOF-MS) and conventional one-dimensional GC-MS. The data obtained were subjected to uni- and multivariate statistical analysis. The extra separation ability of the GC×GC second dimension provided additional in-depth volatile profile information, with more than 1000 compounds detected, while 350 were identified or tentatively identified in total by both techniques, which allowed highly efficient differentiation. A hundred and sixty one compounds in total were significantly different across monovarietal wines. Monoterpenic compounds, especially α-terpineol, followed by limonene and linalool, emerged as the most powerful differentiators, although particular compounds from other chemical classes were also shown to have notable discriminating ability. In general, Škrlet wine was the most abundant in monoterpenes, Malvazija istarska was dominant in terms of fermentation esters concentration, Pošip contained the highest levels of particular C
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