Murdoch, Lynne2025-04-292025-04-292025-04-28https://hdl.handle.net/10222/85068The olfactory sense is one of the first evolved by early life. Mimicking olfaction through artificial systems provides a crucial understanding of the world and surroundings. The field of machine olfaction aims to achieve just this goal. In this work, the use of a thermally modulated, chemically diverse carbon black-polymer composite sensor array is shown to be able to identify and quantify a variety of odourant analytes. As mammalian olfaction relies on sniffing to maintain a constant response within the brain, so too does thermal modulation provide a drift-resistant peak-to-peak response. Through the sorption and desorption of analyte, the connectivity within the composite will change, causing percolation network-driven changes in resistance, allowing for quantification. The degree of resistive change between exposures of various analytes is unique, providing a fingerprint-like response from an array of sensors. This work demonstrates that both analyte concentration and identity are captured by modulated signal amplitude.enSensingMachine OlfactionPolymer CompositesThermal Modulation