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ZnO Nanosheets Modified with Graphene Quantum Dots and SnO2 Quantum Nanoparticles for Room-Temperature H2S Sensing

Authors
Shao, ShaofengChen, XinChen, YunyunZhang, LeiKim, Hyoun WooKim, Sang Sub
Issue Date
Jun-2020
Publisher
AMER CHEMICAL SOC
Keywords
graphene quantum dot; tin dioxide quantum nanoparticle; zinc oxide nanosheet; gas sensor; principal component analysis; exhaled diagnosis
Citation
ACS APPLIED NANO MATERIALS, v.3, no.6, pp.5220 - 5230
Indexed
SCIE
SCOPUS
Journal Title
ACS APPLIED NANO MATERIALS
Volume
3
Number
6
Start Page
5220
End Page
5230
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/1915
DOI
10.1021/acsanm.0c00642
Abstract
Overcoming the low selectivity issue of semiconductor metal oxide (SMO)-based gas sensors at room temperature and realizing the accurate detection of trace disease biomarkers are highly desirable for widespread deployments of sensors in exhaled breath. Here, a self-assembly strategy is proposed to create a graphene quantum dot (GQD)-functionalized porous and hierarchical SnO2 quantum nanoparticle (SnO(2)QNP)/ZnO nanostructure. SnO(2)QNP/ZnO nanosheets self-assembled directly on the digital integrated electrodes with a post-synthetic humidity treatment; the construction of a GQD and SnO(2)QNP-loaded ZnO nanosheet heterostructure is highly controllable and reproducible. The strong synergistic effect and p-n heterojunction between the p-type GQD and n-type SnO2 and ZnO effectively enlarged the resistance variation due to the change in oxygen adsorption. In comparison with pristine ZnO and SnO2/ZnO sensors, the GQD-modified hierarchical SnO(2)QNP/ZnO nanostructure exhibited a remarkably high response (S = 15.9 for 0.1 ppm H2S), rapid response/recovery time (14/13 s), and good selectivity toward H2S against other interfering gases. In particular, we applied principal component analysis for analyzing the sensing performance of the GQD-SnO(2)QNP/ZnO sensor and found that the combined effects of GQD/SnO(2)QNP/ZnO heterointerfaces contributed to the improvement of selectivity of sensors. The results demonstrate that the GQD-modified SMO with the hierarchical structure has a high potential in the non-invasive exhaled diagnosis.
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