Nanostructured NiS <sub>2</sub> -based flexible smart sensors for human respiration monitoring
The growing demand for wearable healthcare devices has led to an urgent need for cost-effective, wireless and portable breath monitoring systems. However, it is essential to explore novel nanomaterials that combine state-of-the-art flexible sensors with high performance and sensing capabilities along with scalability and industrially acceptable processing. In this study, we demonstrate a highly efficient NiS<sub>2</sub>-based flexible capacitive sensor fabricated via a solution-processible route using a novel single-source precursor [Ni{S<sub>2</sub>P(OPr)<sub>2</sub>}<sub>2</sub>]. The developed sensor could precisely detect the human respiration rate and exhibit rapid responsiveness, exceptional sensitivity and selectivity at ambient temperatures, with an ultra-fast response and recovery. The device effectively differentiates the exhaled breath patterns including slow, fast, oral and nasal breath, as well as post-exercise breath rates. Moreover, the sensor shows outstanding bending stability, repeatability, reliable and robust sensing performance and is capable of contactless sensing. The sensor was further employed with a user-friendly wireless interface to facilitate smartphone-enabled real-time breath monitoring systems. This work opens up numerous avenues for cost-effective, sustainable and versatile sensors with potential applications for Internet of Things-based flexible and wearable electronics.This article is part of the theme issue 'Celebrating the 15th anniversary of the Royal Society Newton International Fellowship'.
Authors
- Chitra Gurnani (ORCID: https://orcid.org/0000-0003-2950-7393)
- Trishala R. Desai (ORCID: https://orcid.org/0000-0003-4286-0810)
- Aashi Gupta (ORCID: https://orcid.org/0009-0007-4978-9072)
Institutions
- Mahindra University (IN)
Publication Details
- Journal
- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1098/rsta.2023.0323
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00