ZnO Nanosheets Modified with Graphene Quantum Dots and SnO2Quantum Nanoparticles for Room-Temperature H2S Sensing

Shaofeng Shao, Xin Chen, Yunyun Chen, Lei Zhang, Hyoun Woo Kim, Sang Sub Kim

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

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 languageEnglish
Pages (from-to)5220-5230
Number of pages11
JournalACS Applied Nano Materials
Volume3
Issue number6
DOIs
StatePublished - 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

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