Self‐Sustaining Triboelectric Nanosensors for Real‐Time Urine Analysis in Smart Toilets (Small 42/2024)
Urinalysis In article number 2403385, Hossam Haick and co-workers have introduced a triboelectric nanosensor array featuring 3D graphene with functional polymers for real-time urine analysis and energy generation from urine droplets in smart toilets. These sensors exhibit exceptional sensitivity and selectivity in detecting urinary biomarkers, including ions, glucose, and urea with high precision, supported by artificial intelligence.
Authors
- Indrajit Mondal (ORCID: https://orcid.org/0000-0003-1309-992X)
- Youbin Zheng (ORCID: https://orcid.org/0000-0003-3905-8552)
- Ritu Gupta (ORCID: https://orcid.org/0000-0001-6819-2748)
- Elias Mansour (ORCID: https://orcid.org/0000-0003-2635-1418)
- Hossam Haick (ORCID: https://orcid.org/0000-0002-2370-4073)
Institutions
- University of Liverpool (GB)
- Technion – Israel Institute of Technology (IL)
- Indian Institute of Technology Delhi (IN)
Publication Details
- Journal
- Small
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/smll.202470311
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00