Open Access
Open access
volume 14 issue 1 publication number 1562

Self-powered triboelectric nanogenerator sensor for detecting humidity level and monitoring ethanol variation in a simulated exhalation environment

Publication typeJournal Article
Publication date2024-01-18
scimago Q1
wos Q1
SJR0.874
CiteScore6.7
Impact factor3.9
ISSN20452322
Multidisciplinary
Abstract

Respiration stands as a vital process reflecting physiological and pathological human health status. Exhaled breath analysis offers a facile, non-invasive, swift, and cost-effective approach for diagnosing and monitoring diseases by detecting concentration changes of specific biomarkers. In this study, we employed Polyethylene oxide/copper (I) oxide composite nanofibers (PCNFs), synthesized via the electrospinning method as the sensing material to measure ethanol levels (1–200 ppm) in an exhaled breath simulator environment. The integrated contact-separation triboelectric nanogenerator was utilized to power the self-powered PCNFs exhaled breath sensor. The PCNFs-based gas sensor demonstrates promising results with values of 0.9 and 3.2 for detecting 5 ppm and 200 ppm ethanol, respectively, in the presence of interfering gas at 90% relative humidity (RH). Notably, the sensor displayed remarkable ethanol selectivity, with ratios of 10:1 to methanol and 25:1 to acetone. Response and recovery times for 200 ppm ethanol at 90 RH% were rapid, at 2.7 s and 5.8 s, respectively. The PCNFs-based exhaled breath sensor demonstrated consistent and stable performance in practical conditions, showcasing its potential for integration into wearable devices. This self-powered breath sensor enabling continuous monitoring of lung cancer symptoms and facilitating compliance checks with legal alcohol consumption limits.

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Mohamadbeigi N. et al. Self-powered triboelectric nanogenerator sensor for detecting humidity level and monitoring ethanol variation in a simulated exhalation environment // Scientific Reports. 2024. Vol. 14. No. 1. 1562
GOST all authors (up to 50) Copy
Mohamadbeigi N., Shooshtari L., Fardindoost S., Vafaiee M., Iraji Zad A., Mohammadpour R. Self-powered triboelectric nanogenerator sensor for detecting humidity level and monitoring ethanol variation in a simulated exhalation environment // Scientific Reports. 2024. Vol. 14. No. 1. 1562
RIS |
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RIS Copy
TY - JOUR
DO - 10.1038/s41598-024-51862-6
UR - https://doi.org/10.1038/s41598-024-51862-6
TI - Self-powered triboelectric nanogenerator sensor for detecting humidity level and monitoring ethanol variation in a simulated exhalation environment
T2 - Scientific Reports
AU - Mohamadbeigi, Nima
AU - Shooshtari, Leyla
AU - Fardindoost, Somayeh
AU - Vafaiee, Mohaddese
AU - Iraji Zad, Azam
AU - Mohammadpour, Raheleh
PY - 2024
DA - 2024/01/18
PB - Springer Nature
IS - 1
VL - 14
PMID - 38238422
SN - 2045-2322
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Mohamadbeigi,
author = {Nima Mohamadbeigi and Leyla Shooshtari and Somayeh Fardindoost and Mohaddese Vafaiee and Azam Iraji Zad and Raheleh Mohammadpour},
title = {Self-powered triboelectric nanogenerator sensor for detecting humidity level and monitoring ethanol variation in a simulated exhalation environment},
journal = {Scientific Reports},
year = {2024},
volume = {14},
publisher = {Springer Nature},
month = {jan},
url = {https://doi.org/10.1038/s41598-024-51862-6},
number = {1},
pages = {1562},
doi = {10.1038/s41598-024-51862-6}
}