Issue 46, 2025, Issue in Progress

SnO2 quantum dot decoration of CuO nanoparticles with enhanced NO2 and H2 gas sensing response via p–n heterojunction interfaces

Abstract

Design and fabrication of heterostructures has emerged as a powerful strategy to improve gas sensing performances compared to single materials counterparts. In this work, we report an innovative CuO-based nanostructure decorated with SnO2 quantum dots (QDs) for the detection of NO2 and H2 gases. Here, CuO serves as the base material while SnO2 QDs are used as the decorating phase: an inversion of the conventional architecture where SnO2 is typically the host and CuO the modifier. The composite exhibits higher sensitivity compared to pristine CuO and SnO2, showing state-of-the-art performances in terms of relative responses (RRs) in the 20 ppb to 1 ppm range and 10 ppm to 250 ppm for NO2 and H2 respectively, with excellent stability and reproducibility. Moreover, the SnO2-QDs/CuO operates at a low working temperature (i.e. 100 °C), offering significant advantages in terms of energy efficiency and material stability. The observed enhancements are attributed to the optimized heterointerface, increased active surface area, and modulation of the charge carrier induced by the p–n heterojunctions. These results highlight the potential of reverse-configured SnO2/CuO as a versatile platform for improved, low-temperature gas sensors with high sensitivity.

Graphical abstract: SnO2 quantum dot decoration of CuO nanoparticles with enhanced NO2 and H2 gas sensing response via p–n heterojunction interfaces

Supplementary files

Article information

Article type
Paper
Submitted
30 Jul 2025
Accepted
29 Sep 2025
First published
15 Oct 2025
This article is Open Access
Creative Commons BY license

RSC Adv., 2025,15, 38750-38761

SnO2 quantum dot decoration of CuO nanoparticles with enhanced NO2 and H2 gas sensing response via p–n heterojunction interfaces

V. Paolucci, T. Natarajan, V. Ricci, F. Ferrante and C. Cantalini, RSC Adv., 2025, 15, 38750 DOI: 10.1039/D5RA05533D

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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