SnO<sub>2</sub>–CuO Heterostructured Nanofibers for Enhanced NH<sub>3</sub>-Gas-Sensing Performance and Potential Application in Breath Analysis-Reference-Cited by-同舟云学术

SnO₂–CuO Heterostructured Nanofibers for Enhanced NH₃-Gas-Sensing Performance and Potential Application in Breath Analysis

Published:2023-08-15 Issue:16 Volume:23 Page:17925-17931
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zang Chuanlai¹,Ma Kaijie²,Yano Yasuo²,Li Shuowei¹^ORCID,Yamahara Hiroyasu¹^ORCID,Seki Munetoshi¹,Iizuka Tetsuya¹^ORCID,Tabata Hitoshi³^ORCID

Affiliation:

1. Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Bunkyo, Tokyo, Japan

2. Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo, Tokyo, Japan

3. Department of Electrical Engineering and Information Systems and the Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo, Tokyo, Japan

Funder

Institute for AI and Beyond, The University of Tokyo

JSPS KAKENHI

JST CREST

AMED

The University of Tokyo by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) through the Graduate Program for International Graduate Program of Innovation for Intelligent World

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10217055/10184210.pdf?arnumber=10184210

Reference27 articles.

1. Amperometric Gas Sensors as a Low Cost Emerging Technology Platform for Air Quality Monitoring Applications: A Review

2. Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles

3. Ultra-Low-Power Smart Electronic Nose System Based on Three-Dimensional Tin Oxide Nanotube Arrays

4. High-performance gas sensor array for indoor air quality monitoring: the role of Au nanoparticles on WO3, SnO2, and NiO-based gas sensors

5. Plant Pest Detection Using an Artificial Nose System: A Review

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