Evidence map›Paper›PMID 42523251›Full record

ArticlebioRxiv : the preprint server for biology2026

Methodological assessment of PDMS passive sampling for skin VOC collection across body sites.

Seibi Kobara, Min Huang, Rizky Ilhamsyah, Daniel Struk, John Dimandja, Peter J Hesketh, Daniela Chanci Arrubla, Chase Fensore, Carmen Polito, Rishikesan Kamaleswaran and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Seibi KobaraDepartment of Computer Science and Informatics, Emory University, 400 Dowman Drive, Atlanta, GA, USA.ORCID 0000-0001-8134-7652
Min HuangDepartment of Computer Science and Informatics, Emory University, 400 Dowman Drive, Atlanta, GA, USA.
Rizky IlhamsyahGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Dr, Atlanta, GA, USA.
Daniel StrukGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Dr, Atlanta, GA, USA.
John DimandjaGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Dr, Atlanta, GA, USA.
Peter J HeskethGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Dr, Atlanta, GA, USA.
Daniela Chanci ArrublaDepartment of Surgery, Duke University School of Medicine, 2301 Erwin Rd, Durham, NC, USA.
Chase FensoreDepartment of Computer Science and Informatics, Emory University, 400 Dowman Drive, Atlanta, GA, USA.
Carmen PolitoDivision of Pulmonary, Allergy and Critical Care Medicine, Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA, USA.
Rishikesan KamaleswaranDepartment of Surgery, Duke University School of Medicine, 2301 Erwin Rd, Durham, NC, USA.ORCID 0000-0001-8366-4811
Annette EsperDivision of Pulmonary, Allergy and Critical Care Medicine, Emory University School of Medicine, 100 Woodruff Circle, Atlanta, GA, USA.

Funding

Sepsis Physiomarkers for Appropriate Risk Knowledge of monitored patients in the ICU (SPARK-ICU)R01GM139967 · NIGMS · EMORY UNIVERSITY · PI KAMALESWARAN, RISHIKESAN · 2021 to 2025
$2.8M
Resilience Endotype-derivation through Parsimonious Analysis and causal Inference of Recovery from Acute Respiratory Distress Syndrome (REPAIR-ARDS)R01HL170175 · NHLBI · DUKE UNIVERSITY · PI Suresh Kumar Agarwal, Rishikesan Kamaleswaran · 2025 to 2026
$1.3M
Leveraging multi-omics to maximize the scientific value of pediatric sepsis biorepository and advance patient endotypingR21GM151703 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI ATREYA, MIHIR R, KAMALESWARAN, RISHIKESAN · 2023 to 2024
$459k
Scalable and Interoperable framework for a clinically diverse and generalizable sepsis Biorepository using Electronic alerts for Recruitment driven by Artificial Intelligence (short title: SIBER-AI)R21GM148931 · NIGMS · EMORY UNIVERSITY · PI ESPER, ANNETTE M., KAMALESWARAN, RISHIKESAN · 2023 to 2024
$368k
NHLBI NIH HHS R01 HL170175NIGMS NIH HHS R01 GM139967NIGMS NIH HHS R21 GM148931NIGMS NIH HHS R21 GM151703
6 · The paper itself

Abstract

Background/Objectives: Polydimethylsiloxane (PDMS) is a non-invasive and versatile material often used for non-invasive collection of skin-emitted volatile organic compounds (VOCs), with potential applicability in acute and pre-critical care settings. However, most existing PDMS-based methodologies rely on extensive sample preparation and environmental control, limiting their feasibility in time-sensitive clinical contexts. Methods: We conducted a proof-of-concept pilot study in four healthy volunteers to evaluate whether a simplified skin-contact PDMS sampling procedure can capture detectable VOCs and preserve individual-level variation. PDMS strips were applied directly to the skin with minimal preparation, and collected VOCs were analyzed using gas chromatography-mass spectrometry. Donor-associated variability was assessed using Bray-Curtis dissimilarity, and variability in VOC detection was evaluated across body sites. Results: Skin-contact PDMS sampling detected 160 VOCs across four participants. The mean within-donor Bray-Curtis dissimilarity was 0.308, compared with a mean between-donor dissimilarity of 0.347. Preliminary permutation testing showed distinguishable donor profiles (p-value = 0.004). VOC detection variability differed across body sites, with lower coefficients of variation at the forehead, neck, and wrist than at the ankle. Conclusions: Under simplified sampling conditions, skin-contact PDMS captured individual-associated VOC profiles with lower within-donor variability than between-donor variability. These findings support the feasibility of PDMS-based skin VOC sampling in minimally controlled settings. Further validation in larger and clinically relevant cohorts is warranted to assess the utility of PDMS-sampled skin VOCs as potential biomarkers for early disease detection.

Indexed as

gas chromatography–mass spectrometryPolydimethylsiloxanepre-clinicalskinvolatile organic compounds

Identifiers

PMID42523251
PMCPMC13404820

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.