Journal
MATERIALS TODAY BIO
Volume 1, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.mtbio.2019.100002
Keywords
Gelatin; Ionic liquid; Liquid crystal; Gas sensor; Electronic nose; Machine learning
Funding
- European Research Council [SCENT-ERC-2014-STG-639123, CapTherPV-ERC2014-CoG-647596]
- Unidade de Ciencias Biomoleculares Aplicadas (UCIBIO)
- Linking Landscape, Environment, Agriculture and Food (LEAF) research unit
- national funds from Fundacao para a Ciencia e Tecnologia/Ministerio da Educacao e Ciencia [UID/Multi/04378/2013, Pest-OE/AGR/UI0245/2013]
- European Regional Development Fund under the PT2020 Partnership Agreement [POCI-01-0145-FEDER-007728]
- Fundacao para a Ciencia e a Tecnologia, Portugal [SFRH/BD/113112/2015]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/113112/2015] Funding Source: FCT
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Artificial olfaction is a fast-growing field aiming to mimic natural olfactory systems. Olfactory systems rely on a first step of molecular recognition in which volatile organic compounds (VOCs) bind to an array of specialized olfactory proteins. This results in electrical signals transduced to the brain where pattern recognition is performed. An efficient approach in artificial olfaction combines gas-sensitive materials with dedicated signal processing and classification tools. In this work, films of gelatin hybrid gels with a single composition that change their optical properties upon binding to VOCs were studied as gas-sensing materials in a custom-built electronic nose. The effect of films thickness was studied by acquiring signals from gelatin hybrid gel films with thicknesses between 15 and 90 mu m when exposed to 11 distinct VOCs. Several features were extracted from the signals obtained and then used to implement a dedicated automatic classifier based on support vector machines for data processing. As an optical signature could be associated to each VOC, the developed algorithms classified 11 distinct VOCs with high accuracy and precision (higher than 98%), in particular when using optical signals from a single film composition with 30 mu m thickness. This shows an unprecedented example of soft matter in artificial olfaction, in which a single gelatin hybrid gel, and not an array of sensing materials, can provide enough information to accurately classify VOCs with small structural and functional differences.
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