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 (SnO2QNP)/ZnO nanostructure. SnO2QNP/ZnO nanosheets self-assembled directly on the digital integrated electrodes with a post-synthetic humidity treatment; the construction of a GQD and SnO2QNP-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 SnO2QNP/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-SnO2QNP/ZnO sensor and found that the combined effects of GQD/SnO2QNP/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.
Original language | English |
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Pages (from-to) | 5220-5230 |
Number of pages | 11 |
Journal | ACS Applied Nano Materials |
Volume | 3 |
Issue number | 6 |
DOIs | |
State | Published - 26 Jun 2020 |
Bibliographical note
Publisher Copyright:© 2020 American Chemical Society.
Keywords
- exhaled diagnosis
- gas sensor
- graphene quantum dot
- principal component analysis
- tin dioxide quantum nanoparticle
- zinc oxide nanosheet