Effect of film thickness in gelatin hybrid gels for artificial olfaction. (January 2019)
- Record Type:
- Journal Article
- Title:
- Effect of film thickness in gelatin hybrid gels for artificial olfaction. (January 2019)
- Main Title:
- Effect of film thickness in gelatin hybrid gels for artificial olfaction
- Authors:
- Esteves, Carina
Santos, Gonçalo M.C.
Alves, Cláudia
Palma, Susana I.C.J.
Porteira, Ana R.
Filho, João
Costa, Henrique M.A.
Alves, Vitor D.
Morais Faustino, Bruno M.
Ferreira, Isabel
Gamboa, Hugo
Roque, Ana C.A. - Abstract:
- Abstract: 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 μm 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 μm 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 VOCsAbstract: 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 μm 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 μm 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. … (more)
- Is Part Of:
- Materials today bio. Volume 1(2019)
- Journal:
- Materials today bio
- Issue:
- Volume 1(2019)
- Issue Display:
- Volume 1, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 1
- Issue:
- 2019
- Issue Sort Value:
- 2019-0001-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-01
- Subjects:
- Gelatin -- Ionic liquid -- Liquid crystal -- Gas sensor -- Electronic nose -- Machine learning
Materials science -- Periodicals
Biomedical engineering -- Periodicals
Biomedical materials -- Periodicals
620.1 - Journal URLs:
- https://www.sciencedirect.com/journal/materials-today-bio ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.mtbio.2019.100002 ↗
- Languages:
- English
- ISSNs:
- 2590-0064
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12921.xml