Source abstract
Abstract
The development of high-performing sensing materials, able to detect ppb-trace concentrations of volatile organic compounds (VOCs) at low temperatures, is required for the development of next-generation miniaturized wireless sensors. Here, we present the engineering of selective room-temperature (RT) chemical sensors, comprising highly porous tin dioxide (SnO 2 )-graphene oxide (GO) nanoheterojunction layouts. The optoelectronic and chemical properties of these highly porous (>90%) p-n heterojunctions were systematically investigated in terms of composition and morphologies. Optimized SnO 2 -GO layouts demonstrate significant potential as both visible-blind photodetectors and selective RT chemical sensors. Notably, a low GO content results in an excellent UV light responsivity (400 A W -1 ), with short rise and decay times, and RT high chemical sensitivity with selective detection of VOCs such as ethanol down to 100 ppb. In contrast, a high concentration of GO drastically decreases the RT response to ethanol and results in good selectivity to ethylbenzene. The feasibility of tuning the chemical selectivity of sensor response by engineering the relative amount of GO and SnO 2 is a promising feature that may guide the future development of miniaturized solid-state gas sensors. Furthermore, the excellent optoelectronic properties of these SnO 2 -GO nanoheterojunctions may find applications in various other areas such as optoelectronic devices and (photo)electrocatalysis.
Source: openalex_inverted_index · Quality: baseline
Affiliations
Dipartimento di Chimica, Università degli Studi di Milano, via Golgi 19, Milano 20133, Italy
Consorzio Interuniversitario Nazionale per la Scienza e Tecnologia dei Materiali (INSTM), Via Giusti 9, Firenze 50121, Italy
Department of Electronic Materials Engineering, Research School of Physics and Engineering, The Australian National University, Canberra Australian Capital Territory 2601, Australia
Nanotechnology Research Laboratory, College of Engineering and Computer Science, The Australian National University, Canberra Australian Capital Territory 2601, Australia
Institute for Future Environments (IFE), Central Analytical Research Facility (CARF), Queensland University of Technology(QUT), Brisbane 4000, Australia
Funding
Australian Research Council