Electronic Nose Based on Graphene Oxide

An electronic olfaction system, commonly referred to as an electronic nose (e-nose), emulates the functioning of the human olfactory system. This technology incorporates an array of chemical sensors, each with broad sensitivity to various vapor. The combined responses from these sensors produce distinctive patterns corresponding to specific molecules or mixtures. Over the years, diverse materials have undergone extensive investigation for gas sensor construction. These materials possess advantageous electronic, chemical, mechanical, and thermal attributes, alongside heightened receptiveness to gas molecule adsorption on surfaces and trace gas detection mechanisms. Among these materials, Graphene Oxide (GO) holds significant promise as a chemical sensing substrate. In its functionalized and partially reduced state, GO exhibits a 2D structure that presents an extensively exposed surface to its surroundings. This unique structure, coupled with tailored conductivity, a large surface area, minimal noise, and versatile functionalization prospects, positions GO as a revolutionary contender for chemical sensor applications. The adaptability of graphene oxide permits integration with diverse chemical receptors, facilitating selective and rapid detection of various vapor types. Advancements in this domain over the preceding decades have fostered a deeper exploration of the e-nose concept. This approach serves as a complementary technique to conventional Gas Chromatography-Mass Spectrometry (GC–MS), which necessitates complex instrumentation and time-consuming procedures for organic compound detection. This chapter aims to showcase the latest developments in GO-based e-nose devices within the past ten years. It delves into device fabrication, operational principles, selectivity, stability, and forthcoming prospects for enhancements. Additionally, the chapter outlines the mechanisms underpinning trace vapor concentration detection. Furthermore, this chapter underscores the manifold applications of GO-based e-noses, highlighting their potential contributions to the field's ongoing expansion.