Portable multimodal sensing system for screening of diabetes mellitus from human urine
Abstract A multimodal sensing approach enables the holistic collection of data, enabling a more comprehensive analysis and predictive capabilities for disease screening. Despite the advantages of fusing multiple sensing modalities, the approach is challenging due to the need for multiple sample types, which can lead to extensive sample preprocessing and potential cross‐interference. In this study, we developed a portable multimodal sensing system for diabetes screening that integrates an electrochemical sensor and a chemiresistive gas sensor for the simultaneous detection of glucose and acetone vapor from the same urine sample. We demonstrate that the use of commercial glucometer strips in urine does not compromise the performance of an accompanying metal oxide‐based gas sensor, and vice versa. The device provides readings comparable to benchtop equipment ( R 2 = .9662) for the electrochemical sensing and gas sensing ( R 2 = .9645). The combined information may help screen for diabetic patients without the need for invasive sample acquisition, which highlights the importance of advancing integrated systems to address complex screening challenges for multi‐parametric diseases. This can contribute to improved health outcomes for individuals at risk of diabetes and other metabolic disorders.
Authors
- Yuvaraj Sivalingam (ORCID: https://orcid.org/0000-0002-2079-1570)
- Abdullah Bukhamsin (ORCID: https://orcid.org/0000-0002-3266-9628)
- Khaled N. Salama (ORCID: https://orcid.org/0000-0001-7742-1282)
- Yurii Tsyban (ORCID: https://orcid.org/0009-0004-9305-5234)
- Mario Soto Martinez (ORCID: https://orcid.org/0000-0002-8213-5747)
- Alexander Przybysz
Institutions
- King Abdullah University of Science and Technology (SA)
Publication Details
- Journal
- Open Research (University of Surrey)
- Published
- 2025-06-12
- DOI
- https://doi.org/10.1002/viw.20250010
- Citations
- 1
- Primary Topic
- Electrochemical sensors and biosensors
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- King Abdullah University of Science and Technology