Quantitative Risk Assessment of Diisocyanates Leaching From Wound Dressings Under Physiological Conditions

We developed and validated a physiologically relevant method to quantify diisocyanate residues leaching from wound dressings, demonstrating that HDI, in particular, poses a significant risk for sensitisation induction and can elicit ACD in individuals who are already sensitised.

Authors

Institutions

Publication Details

Journal
Contact Dermatitis
Published
2025-12-02
DOI
https://doi.org/10.1111/cod.70061
Primary Topic
Occupational exposure and asthma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative Risk Assessment of Diisocyanates Leaching From Wound Dressings Under Physiological Conditions

Bart Desmedt, Tamara Vanhaecke, Michaël Canfyn, Ania Stras et al.
Contact Dermatitis
Occupational exposure and asthma
article

Quantitative Risk Assessment of Diisocyanates Leaching From Wound Dressings Under Physiological Conditions

Bart Desmedt, Tamara Vanhaecke, Michaël Canfyn, Ania Stras, Eric Deconinck, Sarah Mannaert, Tine Weytjens
article en

Abstract

We developed and validated a physiologically relevant method to quantify diisocyanate residues leaching from wound dressings, demonstrating that HDI, in particular, poses a significant risk for sensitisation induction and can elicit ACD in individuals who are already sensitised.

Contact DermatitisVol. 94(3)
Université Libre de Bruxelles (BE), Vrije Universiteit Brussel (BE), Sciensano (Belgium) (BE)
Openalex Percentile: Top 51%
Occupational exposure and asthma
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.