Bio-Inspired Strategies for Improving the Selectivity and Sensitivity of Artificial Noses: A Review
Charlotte Hurot, Natale Scaramozzino, Arnaud Buhot, Yanxia Hou
Abstract
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.
Topics & Concepts
Computer scienceBiochemical engineeringBiomimeticsSensitivity (control systems)Systems engineeringNanotechnologyRisk analysis (engineering)Artificial intelligenceEngineeringMaterials scienceBusinessElectronic engineeringAdvanced Chemical Sensor TechnologiesOlfactory and Sensory Function StudiesGas Sensing Nanomaterials and Sensors