Wearable face mask-attached disposable printed sensor arrays for point-of-need monitoring of alkaline gases in breath
Blood sampling, despite its historical significance in clinical diagnostics, poses challenges, such as invasiveness, infection risks, and limited temporal fidelity for continuous monitoring. In contrast, exhaled breath offers a noninvasive, pain-free, and continuous sampling method, carrying biochemical information through volatile compounds like ammonia (NH<sub>3</sub>). NH<sub>3</sub> in exhaled breath, influenced by kidney function, emerges as a promising biomarker for renal health assessment, particularly in resource-limited settings lacking extensive healthcare infrastructure. Current analytical methods for breath NH<sub>3</sub>, though effective, often face practical limitations. In this work, we introduce a low-cost, internet-connected, paper-based wearable device for measuring exhaled NH<sub>3</sub>, designed for early detection of kidney dysfunction at the point of need. The device, which attaches to disposable face masks, utilizes an array of disposable paper-based sensors to detect NH<sub>3</sub> with the readout being changes in electrical impedance that correlate with the concentration of NH<sub>3</sub>. The sensor array is housed in a biodegradable plastic enclosure to mitigate high relative humidity issues in breath analysis. We validated our technology using a laboratory setup and human subjects who consumed ammonium chloride-containing candy to simulate elevated breath NH<sub>3</sub>. Our wearable sensor offers a promising solution for rapid, point-of-need kidney dysfunction screening, particularly valuable in resource-limited settings. This approach has potential applications beyond kidney health monitoring, including chemical industry safety and environmental sensing, paving the way for accessible, continuous health monitoring.
Authors
- J. Levy (ORCID: https://orcid.org/0000-0003-2512-9268)
- Michael Kasimatis (ORCID: https://orcid.org/0000-0002-4509-4907)
- Firat Güder (ORCID: https://orcid.org/0000-0001-5454-0609)
- Max Grell (ORCID: https://orcid.org/0000-0002-3718-3360)
- Giandrin Barandun (ORCID: https://orcid.org/0000-0002-8663-9782)
- Abdulkadir Sanli (ORCID: https://orcid.org/0000-0002-9768-9005)
- Alex Collins (ORCID: https://orcid.org/0009-0000-8153-612X)
- Chun Lin Yap
Institutions
- Hammersmith Hospital (GB)
- London Bridge Hospital (GB)
- Imperial College London (GB)
Publication Details
- Journal
- PNAS Nexus
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1093/pnasnexus/pgaf116
- Citations
- 4
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.70
Funders
- Bill and Melinda Gates Foundation
- National Institute for Health and Care Research
- Imperial College London
- Imperial College Healthcare NHS Trust
- Engineering and Physical Sciences Research Council