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Related Experiment Video

Updated: May 13, 2026

Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction
09:19

Capturing Actively Produced Microbial Volatile Organic Compounds from Human-Associated Samples with Vacuum-Assisted Sorbent Extraction

Published on: June 1, 2022

A scalable PDMS extraction method for profiling fungal volatile compounds.

Rashaduz Zaman1, Isaac Peetoom Heida2, Heather T K Anderson2

  • 1Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada. rashaduz@ualberta.ca.

Fungal Biology and Biotechnology
|May 12, 2026
PubMed
Summary
This summary is machine-generated.

A new polydimethylsiloxane (PDMS)-based workflow standardizes the analysis of fungal volatile organic compounds (FVOCs). This method improves data comparability and biological interpretation for fungal ecology and biotechnology applications.

Keywords:
TrichodermaFungal volatilomicsGas chromatography-mass spectrometryMetabolomicsPDMSPolydimethylsiloxaneSemiochemicalTemporal metabolite fluxVolatilomics

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Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products
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Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products

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Last Updated: May 13, 2026

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06:47

Measuring Volatile and Non-volatile Antifungal Activity of Biocontrol Products

Published on: December 5, 2020

Area of Science:

  • Mycology
  • Analytical Chemistry
  • Biotechnology

Background:

  • Fungal volatile organic compounds (FVOCs) are crucial in fungal ecology and physiology.
  • Current sampling and analytical methods lack standardization, hindering biological interpretation and cross-study comparisons.

Purpose of the Study:

  • To develop and validate a standardized, robust workflow for FVOC analysis using polydimethylsiloxane (PDMS).
  • To address methodological biases and improve the biological interpretability and comparability of FVOC data.

Main Methods:

  • Development and validation of a PDMS-based volatilomics workflow.
  • Evaluation of solvent extraction bias, sampling methods (static vs. dynamic), sorbent reuse, and temporal emission resolution.
  • Application of the workflow to distinguish fungal species and morphotypes.

Main Results:

  • The PDMS workflow demonstrated robust performance across various methodological dimensions.
  • Solvent choice affected quantitative recovery but not overall FVOC composition.
  • Static and dynamic sampling yielded complementary profiles; PDMS sorbent was reusable without performance decline.
  • Sequential sampling captured temporal emission patterns, differentiating species and morphotypes.

Conclusions:

  • The PDMS-based workflow offers a standardized, reproducible framework for FVOC analysis.
  • This standardization enhances biological interpretability and comparability of FVOC data.
  • The workflow supports broader applications in fungal ecology, physiology, and biotechnology.