Canine-inspired Unidirectional Flows for Improving Memory Effects in Machine Olfaction

Author:

Kim Soohwan1,Mukherjee Sandeepan1,Fonollosa Jordi234ORCID,Hu David L15ORCID

Affiliation:

1. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology , Atlanta, GA 30332 , USA

2. B2SLab, Departament d’Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya , 08028 Barcelona , Spain

3. Networking Biomedical Research Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN) , 28029 Madrid , Spain

4. Institut de Recerca Sant Joan de Déu , 08950 Esplugues de Llobregat , Spain

5. School of Biological Sciences, Georgia Institute of Technology , Atlanta, GA 30332 , USA

Abstract

Synopsis A dog's nose differs from a human's in that air does not change direction but flows in a unidirectional path from inlet to outlet. Previous simulations showed that unidirectional flow through a dog’s complex nasal passageways creates stagnant zones of trapped air. We hypothesize that these zones give the dog a “physical memory,” which it may use to compare recent odors to past ones. In this study, we conducted experiments with our previously built Gaseous Recognition Oscillatory Machine Integrating Technology (GROMIT) and performed corresponding simulations in two dimensions. We compared three settings: a control setting that mimics the bidirectional flow of the human nose; a short-circuit setting where odors exit before reaching the sensors; and a unidirectional configuration using a dedicated inlet and outlet that mimics the dog’s nose. After exposure to odors, the sensors in the unidirectional setting showed the slowest return to their baseline level, indicative of memory effects. Simulations showed that both short-circuit and unidirectional flows created trapped recirculation zones, which slowed the release of odors from the chamber. In the future, memory effects such as the ones found here may improve the sensitivity and utility of electronic noses.

Funder

Georgia Institute of Technolgy

NSF

Spanish Ministry of Economy and Competitiveness

CIBER-BBN

ISCIII

Generalitat de Catalunya

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Animal Science and Zoology

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