A comparison study on the acetone sensing performance of preeminent nanostructures of SnO2 for diabetes diagnosis

Abstract

Metal oxide semiconductor-based acetone sensors are of great need owing to their cost-effective easy production for real-time applications. Experiments on different morphologies of metal oxide nanostructures are gaining momentum for enhancing acetone sensing properties. 1D nanofibers and dangling bonds-rich facet exposed materials are eminent nanostructures in this field. In this article, we compare the acetone-sensing abilities of these nanostructures, including nanofibers and facet-exposed nanostructures. Acetone sensing qualities of the fabricated sensors were tested at different temperatures varying from 100 to 350 °C. Due to a significant number of dangling bonds on the surface, the octahedral nanoparticle sensor produced a higher response than the other sensors. At their respective operating temperatures, each of the manufactured sensors was capable of detecting a very low concentration of acetone (1 ppm). All of the samples had acceptable response and recovery times. The octahedral nanoparticle sensor’s excellent repeatability, reproducibility, and long-term stability made it a good choice for real-time detection of acetone in the exhaled breath of individuals with diabetes. In patients with diabetes, the exhaled breath exhibits an acetone concentration exceeding 1.8 ppm, whereas in healthy persons, this concentration typically falls between the ranges of 0.3–0.9 ppm.