Table · dataset · 2026
Supplementary file 1_Moldogenicity of dominant culturable molds in cigar tobacco leaves and GC-IMS–based analysis of volatile organic compounds.docx
Listed in HKU DataHub and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.3389/fmicb.2026.1843382.s001
Introduction<p>Cigar tobacco leaves (CTLs) are nutrient-rich and susceptible to mold contamination during fermentation and storage.
Description
This study aims to investigate the specific volatile profiles of dominant culturable molds recovered under the applied isolation conditions in CTLs and to establish a robust volatile organic compounds (VOCs)-based targeted monitoring strategy for preventing early-stage mold outbreaks.</p>Methods<p>Eight dominant culturable molds were isolated from natural mold CTLs, and their spores were inoculated onto sterile CTLs.
A combined visual scoring and mold counting system was utilized to evaluate the mold-inducing potential of the isolates. Gas chromatography-ion mobility spectrometry (GC-IMS) was employed to detect VOCs at the initial stage of visible mold onset. Furthermore, multivariate chemometric analyses, including principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), were performed to process the data and screen for differential markers.</p>Results<p>Based on the evaluation system, the isolates were quantitatively classified into high-moldogenicity (Aspergillus montevidensis, Penicillium chrysogenum, Aspergillus pseudoglaucus, and Aspergillus versicolor) and low-moldogenicity (Talaromyces funiculosus, Trichoderma longibrachiatum, Aspergillus chevalieri, and Aspergillus sydowii) strains.
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A total of 66 VOCs were identified by GC-IMS. PCA and PLS-DA not only clearly differentiated mold-contaminated samples from uninoculated controls but also clustered the strains according to their defined mold-inducing potential. Through strict variable screening (VIP > 1, P < 0.05), three VOCs—3-octanone (M), 2-pentanol, and 2-methyl-1-butanol—were identified as broad-spectrum early-warning markers for mold contamination.
Additionally, 2-pentanol exhibited a distinctly higher relative abundance in high-moldogenicity strains, highlighting its potential as a quantitative indicator of infection severity.</p>Conclusion<p>GC-IMS serves as a rapid and effective analytical tool for profiling dynamic VOC changes during fungal infection. The newly identified broad-spectrum markers and the quantitative classification model offer a promising targeted monitoring strategy to ensure safe cigar tobacco production.</p>
Links
Where it is published
- DOI doi.org/10.3389/fmicb.2026.1843382.s001 ↗
DOI / persistent id · from datahub hku hk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from datahub hku hk
Topics
- From keywords
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Provenance · 4 source records, 39 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| HKU DataHub | oai:figshare.com:article/34014792 | 12 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34014792 | 11 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34014792 | 11 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34014792 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].anzsrc:group:3107 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:3107 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:3107 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].anzsrc:group:3107 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Microbiology'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/description |
| license | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/rights |
| publication_date | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| title | source · datahub hku hk | connector:datahub_hku_hk@1.0.0 | /metadata/dc/title |