Moreira, Inês PimentelSato, LauraAlves, CláudiaPalma, SusanaRoque, Ana Cecília2022-07-062022-07-0620219789897584909PURE: 36734066PURE UUID: a9054964-b37e-4d45-a2a1-03365b4ce911Scopus: 85103826522WOS: 000664115200002ORCID: /0000-0002-1851-8110/work/113944947http://hdl.handle.net/10362/141468UID/Multi/04378/2020Electronic noses (e-noses) mimic the complex biological olfactory system, usually including an array of gas sensors to act as the olfactory receptors and a trained computer with signal-processing and pattern recognition tools as the brain. In this work, a new stimuli-responsive material is shown, consisting of self-assembled droplets of liquid crystal and ionic liquid stabilised within a fish gelatin matrix. These materials change their opto/electrical properties upon contact with volatile organic compounds (VOCs). By using an in-house developed e-nose, these new gas-sensing films yield characteristic optical signals for VOCs from different chemical classes. A support vector machine classifier was implemented based on 12 features of the signals. The results show that the films are excellent identifying hydrocarbon VOCs (toluene, heptane and hexane) (95% accuracy) but lower performance was found to other VOCs, resulting in an overall 60.4% accuracy. Even though they are not reusable, these sustainable gas-sensing films are stable throughout time and reproducible, opening several opportunities for future optoelectronic devices and artificial olfaction systems.85132912engElectronic noseFish gelatinGas-sensingIonic liquidLiquid crystalVolatile organic compoundsBiomedical EngineeringElectrical and Electronic Engineeringconference object10.5220/0010206200320039https://www.scopus.com/pages/publications/85103826522