Evidence map›Paper›PMID 40429811›Full record

ArticleInternational journal of molecular sciences2025

A Novel Sample Preparation Method for GC-MS Analysis of Volatile Organic Compounds in Whole Blood for Veterinary Use.

Kyung-Geun Ahn, Ryuho Choi, Soonchul Gwak, Inyoung Choi, Giup Jang, Jin-Wook Kim, Geon A Kim

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kyung-Geun AhnDepartment of Biomedical Laboratory Science, University of Health Science, Eulji University, Uijeongbu 11759, Republic of Korea.
Ryuho ChoiCenter for Veterinary Bioinformatics Research and Development, MetaDx Inc., Seoul 04799, Republic of Korea.
Soonchul GwakCenter for Veterinary Bioinformatics Research and Development, MetaDx Inc., Seoul 04799, Republic of Korea.
Inyoung ChoiCenter for Veterinary Bioinformatics Research and Development, MetaDx Inc., Seoul 04799, Republic of Korea.
Giup JangCenter for Veterinary Bioinformatics Research and Development, MetaDx Inc., Seoul 04799, Republic of Korea.
Jin-Wook KimCenter for Veterinary Bioinformatics Research and Development, MetaDx Inc., Seoul 04799, Republic of Korea.
Geon A KimDepartment of Biomedical Laboratory Science, University of Health Science, Eulji University, Uijeongbu 11759, Republic of Korea.ORCID 0000-0002-5868-1297

Funding

Korea Institute of Startup and Entrepreneurship Development 20206843Technology Incubator Program for Startups RS-2024-00441828
6 · The paper itself

Abstract

Volatile organic compounds (VOCs) in biological samples originate both from exogenous and endogenous sources. Recent studies have highlighted their potential as cancer biomarkers, emphasizing the need for accurate detection methods in clinical settings. However, analysis of VOCs in whole blood (WB) samples remains challenging due to the complex matrix effects caused by the protein-VOC binding phenomenon and lack of standardized sample preparation protocols. Therefore, this study suggests a standardized method for advanced VOC analysis in WB samples specifically for veterinary applications. We compared 12 combinations of reagents composed of protein denaturing reagents and salts, particularly urea mixtures, to enhance VOC decoupling from proteins and improve matrix effect uniformity in gas chromatography-mass spectrometry (GC-MS) analysis. Among all combinations, urea with NaCl showed an optimal performance, demonstrating an advancement in the detection sensitivity of up to 151.3% and a significantly reduced matrix effect variation (-35.5% to 25%) compared with the water-only control. This novel approach eliminates complex procedures while maintaining accuracy, making it particularly suitable for veterinary uses. The method's standardization and improved performance characteristics offer a practical solution for efficient VOC detection in veterinary diagnostics, potentially advancing tumor biomarker research.

Indexed as

Gas Chromatography-Mass SpectrometryVolatile Organic CompoundsAnimalsBiomarkers, TumorBiomarkers, TumorVolatile Organic Compoundsdogmass spectrometrysample preparationveterinary cancerVOCs

Identifiers

PMID40429811
PMCPMC12111655

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Registered trials

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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.