ArticleMetabolomics : Official journal of the Metabolomic Society2017
Non-invasive real time monitoring of yeast volatilome by PTR-ToF-MS.
Article in Metabolomics : Official journal of the Metabolomic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Decoding Sulfur-Containing Aroma Compounds in Foods: From Key Odorant Mapping to Structure-Odor Mechanisms and Flavor Design.Foods (Basel, Switzerland) · 2026Review
- Application of process analytical technology for real-time monitoring of synthetic co-culture bioprocesses.Analytical and bioanalytical chemistry · 2025Review
- Advances in the Application of Direct Injection Mass Spectrometry Techniques to the Analysis of Grape, Wine and Other Alcoholic Beverages.Molecules (Basel, Switzerland) · 2023Review
- Using wasps as a tool to restore a functioning vine grape mycobiota and preserve the mycobial "terroir".Scientific reports · 2023Article
- Volatile Organic Compound (VOC) Profiles of DifferentJournal of fungi (Basel, Switzerland) · 2022Article
- Using off-gas for insights through online monitoring of ethanol and baker's yeast volatilome using SESI-Orbitrap MS.Scientific reports · 2022Article
- High-Throughput Volatilome Fingerprint Using PTR-ToF-MS Shows Species-Specific Patterns inJournal of fungi (Basel, Switzerland) · 2021Article
- How to resolve cryptic species of polypores: an example inIMA fungus · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionProducing a wide range of volatile secondary metabolites
objectivesMethodologically, the aim of this study was to demonstrate the automatic, real-time, direct, and non-invasive monitoring of yeast volatilome in order to rapidly produce a robust large data set encompassing measurements relative to many strains, replicates and time points. The fundamental scope was to differentiate volatilomes of genetically similar strains of oenological relevance during the whole growing process.
methodSix different
resultsMore than 300 peaks have been extracted from the average spectra associated to each time point, 70 have been tentatively identified. Univariate and multivariate analyses have been performed on the data matrix (3640 measurements × 70 peaks) highlighting the volatilome evolution and strain-specific features. Laboratory strains with opposite mating type, and meiotic segregants of the same natural strain showed significantly different profiles.
conclusionsThe described set-up allows the on-line high-throughput screening of yeast volatilome of
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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.