Evidence map›Paper›PMID 41295311›Full record

ArticleMetabolites2025

Comprehensive GC/MS Profiling of Volatile Organic Compounds in Whole and Glandular Saliva Using MonoTrap Micro-Extraction.

Asuka Mori, Masae Kuboniwa, Eiichiro Fukusaki

Abstract read
In one paragraph

Article in Metabolites, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Asuka MoriDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, Osaka 565-0871, Japan.ORCID 0000-0002-3882-8642
Masae KuboniwaDepartment of Preventive Dentistry, Graduate School of Dentistry, The University of Osaka, Osaka 565-0871, Japan.ORCID 0000-0002-3332-2431
Eiichiro FukusakiDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, Osaka 565-0871, Japan.ORCID 0000-0003-3069-5547

Funding

Japan Society for the Promotion of Science JP 24K01271
6 · The paper itself

Abstract

BACKGROUND/

objectivesSalivary volatile organic compounds (VOCs) are promising noninvasive biomarkers for a wide range of diseases. While glandular saliva, secreted by salivary glands, is a relatively pure biofluid, whole saliva is a complex mixture containing oral microbiota, food debris, and desquamated epithelial cells. Therefore, a comprehensive comparison of the VOC profiles of these two types of saliva is essential to identify biologically relevant compounds. In this study, we aimed to establish a reliable method for VOC profiling from small saliva volumes and identify VOCs that reflect the biological differences between glandular and whole saliva.

methodsWe developed a protocol combining MonoTrap extraction with dichloromethane, allowing the analysis of VOCs from just 100 µL of saliva. To address the issue of sampling-derived artifacts, we implemented a two-step blank analysis to systematically exclude compounds originating from the collection device.

resultsOur analysis successfully identified a total of 72 VOCs. Following blank analysis, we systematically excluded 15 artifacts originating from the sampling device. Subsequent orthogonal partial least squares discriminant analysis (OPLS-DA) and Wilcoxon signed-rank test (using variable importance for prediction (VIP) > 1.0 and

conclusionsOur findings demonstrated the effectiveness of this method for identifying biologically relevant VOCs from relatively small sample volumes. The identified VOC profiles highlight the contribution to the discovery of non-invasive biomarkers for oral health and serve as a solid foundation for future research into clinical applications.

Indexed as

GC/MSglandular salivaMonoTraporal microbiomesalivaVOCvolatile compound

Identifiers

PMID41295311
PMCPMC12654116

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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.