Back

Healing cascades and infections in wounds monitored using a wearable sensor of gaseous flux

Cho, S.; Tan, A. Q.; Chen, Z.; Pyun, K. R.; Li, S.; Yin, F.; Zhang, A.; Feldman, N.; Neuhart, E. J.; Moreno, A. D.; Yoon, J. E.; Shin, J.; Song, J. W.; Trueb, J.; Huang, Y.; Ameer, G.; Rogers, J. A.

2026-06-22 bioengineering
10.64898/2026.06.18.733171 bioRxiv
Show abstract

Capabilities for quantitative monitoring of chronic wounds remain an unmet clinical need, as existing diagnostic approaches rely on semiquantitative evaluation of symptoms that lack sensitivity especially during early stages of infection. Here we present a scheme for tracking wound physiology that leverages a miniature, wireless skin-interfaced device for non-contact, transient measurements of the flux of volatile organic compounds (VOCs) and water vapor from the wound microenvironment. Unlike emerging smart bandage platforms that rely on physical contact with the fragile wound bed to interrogate liquid-phase biomarkers, this strategy uses an engineered microclimate and suspended suite of sensors to measure the diffusive transport of wound-derived gases across the wound surface but separated from it. The result enables quantitative evaluation of metabolic activity and healing progression without perturbing the healing tissues. In biofilm growth models of Staphylococcus aureus, measurements demonstrate that trends in VOC flux correlate strongly with bacterial growth kinetics and precede any visible biofilm formation. Longitudinal monitoring in infected murine wound healing models shows that concurrent measurements of water vapor and VOC flux provide complementary physiological insights, capturing both the trajectory of barrier restoration and the dynamics of bacterial burden. The findings establish this non-contact sensing scheme as a distinct and clinically translatable paradigm for wound monitoring, with broad implications for non-invasive surveillance of disease states in which tissue metabolic activity and skin barrier integrity serve as actionable physiological readouts. Significance StatementLimited capabilities in continuous, quantitative assessment of a wound make early diagnosis and effective management challenging, particularly in cases of infection that rapidly progress before symptoms appear. Non-contact approaches for wound monitoring that preserve fragile tissue can transform wound care. In this context, gaseous flux from the wound bed provides an integrative measure of microbial activity and barrier restoration. This study establishes a wearable sensing platform that quantifies these fluxes in real time, enabling early infection detection and temporal tracking of wound healing. These results highlight a path toward personalized treatment strategies and reduced reliance on episodic clinical evaluation.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Advanced Science
286 papers in training set
Top 0.1%
26.5%
2
Scientific Reports
3612 papers in training set
Top 9%
7.2%
3
Science Advances
1243 papers in training set
Top 5%
5.1%
4
Lab on a Chip
96 papers in training set
Top 0.3%
4.8%
5
Nature Communications
5641 papers in training set
Top 29%
4.8%
6
Advanced Materials Technologies
29 papers in training set
Top 0.1%
4.0%
50% of probability mass above
7
PLOS ONE
5266 papers in training set
Top 36%
3.5%
8
Advanced Healthcare Materials
85 papers in training set
Top 0.8%
2.4%
9
Nature Biotechnology
172 papers in training set
Top 2%
2.1%
10
ACS Sensors
49 papers in training set
Top 0.4%
2.1%
11
Biosensors and Bioelectronics
57 papers in training set
Top 0.4%
2.1%
12
Advanced Functional Materials
46 papers in training set
Top 0.6%
2.1%
13
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 26%
1.9%
14
Advanced Materials
56 papers in training set
Top 0.6%
1.7%
15
ACS Nano
113 papers in training set
Top 1%
1.7%
16
Communications Biology
993 papers in training set
Top 17%
1.5%
17
Communications Medicine
113 papers in training set
Top 3%
1.3%
18
Journal of Investigative Dermatology
49 papers in training set
Top 0.4%
1.3%
19
Small
78 papers in training set
Top 1%
1.0%
20
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 2%
1.0%
21
Analytical Chemistry
218 papers in training set
Top 2%
0.8%
22
npj Digital Medicine
118 papers in training set
Top 3%
0.8%
23
Science Translational Medicine
127 papers in training set
Top 3%
0.8%
24
eLife
5828 papers in training set
Top 65%
0.8%
25
Journal of The Royal Society Interface
235 papers in training set
Top 4%
0.8%
26
iScience
1154 papers in training set
Top 40%
0.6%
27
Applied and Environmental Microbiology
339 papers in training set
Top 5%
0.6%