Hollow-Out Fe2O3-Loaded NiO Heterojunction Nanorods Enable Real-Time Exhaled Ethanol Monitoring under High Humidity

The analysis of exhaled breath has opened up new exciting avenues in medical diagnostics, sleep monitoring, and drunk driving detection. Nevertheless, the detection accuracy is greatly affected due to high humidity in the exhaled breath. Here, we propose a regulation method to solve the problem of humidity adaptability in the ethanol-monitoring process by building a heterojunction and hollow-out nanostructure. Therefore, large specific surface area hollow-out Fe2O3-loaded NiO heterojunction nanorods assembled by porous ultrathin nanosheets were prepared by a well-tailored interface reaction. The excellent response (51.2 toward 10 ppm ethanol at 80% relative humidity) and selectivity to ethanol under high relative humidity with a lower operating temperature (150 °C) were obtained, and the detection limit was as low as 0.5 ppb with excellent long-term stability. The superior gas-sensing performance was attributed to the high surface activity of the heterojunction and hollow-out nanostructure. More importantly, GC-MS, diffuse reflectance Fourier transform infrared spectroscopy, and DFT were utilized to analyze the mechanisms of heterojunction sensitization, ethanol-sensing reaction, and high-humidity adaptability. Our integrated low-power MEMS Internet of Things (IoT) system based on Fe2O3NiO successfully demonstrates the functional verification of ethanol detection in human exhalation, and the integrated voice alarm and IoT positioning functions are expected to solve the problem of real-time monitoring and rapid initial screening of drunk driving. Overall, this novel method plays a vital role in areas such as control of material morphology and composition, breath analysis, gas-sensing mechanism research, and artificial olfaction.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:15

Enthalten in:

ACS applied materials & interfaces - 15(2023), 12 vom: 29. März, Seite 15707-15720

Sprache:

Englisch

Beteiligte Personen:

Li, Long [VerfasserIn]
Zhou, Licheng [VerfasserIn]
Hu, Zhixiang [VerfasserIn]
Li, Tiankun [VerfasserIn]
Chen, Bingbing [VerfasserIn]
Li, Hua-Yao [VerfasserIn]
Liu, Huan [VerfasserIn]

Links:

Volltext

Themen:

3K9958V90M
Ethanol
Exhaled ethanol monitoring
Fe2O3-loaded NiO heterojunction
High-humidity adaptability
Hollow-out hierarchical
IoT system
Journal Article

Anmerkungen:

Date Completed 31.03.2023

Date Revised 31.03.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1021/acsami.2c23088

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM354298755