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Bio-Inspired Strategies for Improving the Selectivity and Sensitivity of Artificial Noses: A Review
- Source :
- Sensors, Sensors, MDPI, 2020, 20 (6), pp.1803. ⟨10.3390/s20061803⟩, Sensors, 2020, 20 (6), pp.1803. ⟨10.3390/s20061803⟩, Sensors (Basel, Switzerland), Sensors, Vol 20, Iss 6, p 1803 (2020)
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; Artificial noses are broad-spectrum multisensors dedicated to the detection of volatile organic compounds (VOCs). Despite great recent progress, they still suffer from a lack of sensitivity and selectivity. We will review, in a systemic way, the biomimetic strategies for improving these performance criteria, including the design of sensing materials, their immobilization on the sensing surface, the sampling of VOCs, the choice of a transduction method, and the data processing. This reflection could help address new applications in domains where high-performance artificial noses are required such as public security and safety, environment, industry, or healthcare.
- Subjects :
- electronic nose
biomimicry
volatile organic compound
Computer science
Static Electricity
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Review
02 engineering and technology
Transduction (psychology)
lcsh:Chemical technology
01 natural sciences
Biochemistry
Analytical Chemistry
Biomimetic Materials
Biomimetics
lcsh:TP1-1185
Volatile organic compound
Sensitivity (control systems)
Electrical and Electronic Engineering
[SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/Biomaterials
Instrumentation
chemistry.chemical_classification
Volatile Organic Compounds
Electronic nose
010401 analytical chemistry
selectivity
[CHIM.MATE]Chemical Sciences/Material chemistry
021001 nanoscience & nanotechnology
sensitivity
Atomic and Molecular Physics, and Optics
0104 chemical sciences
Molecular Docking Simulation
artificial nose
chemistry
Biochemical engineering
0210 nano-technology
olfaction
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Database :
- OpenAIRE
- Journal :
- Sensors, Sensors, MDPI, 2020, 20 (6), pp.1803. ⟨10.3390/s20061803⟩, Sensors, 2020, 20 (6), pp.1803. ⟨10.3390/s20061803⟩, Sensors (Basel, Switzerland), Sensors, Vol 20, Iss 6, p 1803 (2020)
- Accession number :
- edsair.doi.dedup.....d4b9e46ed1dbe49fb1a934d103f39e12
- Full Text :
- https://doi.org/10.3390/s20061803⟩