Back to Search Start Over

Wireless Flexible System for Highly Sensitive Ammonia Detection Based on Polyaniline/Carbon Nanotubes.

Authors :
Zhuang, Yi
Wang, Xue
Lai, Pengfei
Li, Jin
Chen, Le
Lin, Yuanjing
Wang, Fei
Source :
Biosensors (2079-6374); Apr2024, Vol. 14 Issue 4, p191, 12p
Publication Year :
2024

Abstract

Ammonia (NH<subscript>3</subscript>) is a harmful atmospheric pollutant and an important indicator of environment, health, and food safety conditions. Wearable devices with flexible gas sensors offer convenient real-time NH<subscript>3</subscript> monitoring capabilities. A flexible ammonia gas sensing system to support the internet of things (IoT) is proposed. The flexible gas sensor in this system utilizes polyaniline (PANI) with multiwall carbon nanotubes (MWCNTs) decoration as a sensitive material, coated on a silver interdigital electrode on a polyethylene terephthalate (PET) substrate. Gas sensors are combined with other electronic components to form a flexible electronic system. The IoT functionality of the system comes from a microcontroller with Wi-Fi capability. The flexible gas sensor demonstrates commendable sensitivity, selectivity, humidity resistance, and long lifespan. The experimental data procured from the sensor reveal a remarkably low detection threshold of 0.3 ppm, aligning well with the required specifications for monitoring ammonia concentrations in exhaled breath gas, which typically range from 0.425 to 1.8 ppm. Furthermore, the sensor demonstrates a negligible reaction to the presence of interfering gases, such as ethanol, acetone, and methanol, thereby ensuring high selectivity for ammonia detection. In addition to these attributes, the sensor maintains consistent stability across a range of environmental conditions, including varying humidity levels, repeated bending cycles, and diverse angles of orientation. A portable, stable, and effective flexible IoT system solution for real-time ammonia sensing is demonstrated by collecting data at the edge end, processing the data in the cloud, and displaying the data at the user end. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20796374
Volume :
14
Issue :
4
Database :
Complementary Index
Journal :
Biosensors (2079-6374)
Publication Type :
Academic Journal
Accession number :
176878739
Full Text :
https://doi.org/10.3390/bios14040191