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Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction

A quantitative monitoring system for fractional exhaled nitric oxide (FENO) in homes is very important for the control of respiratory diseases such as asthma. To this end, this paper proposes a small bionic sensing system for NO detection in an electronic nose based on analysis of the structure of t...

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Detalles Bibliográficos
Autores principales: Sun, Pengjiao, Shi, Yunbo, Shi, Yeping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762597/
https://www.ncbi.nlm.nih.gov/pubmed/36534648
http://dx.doi.org/10.1371/journal.pone.0279003
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author Sun, Pengjiao
Shi, Yunbo
Shi, Yeping
author_facet Sun, Pengjiao
Shi, Yunbo
Shi, Yeping
author_sort Sun, Pengjiao
collection PubMed
description A quantitative monitoring system for fractional exhaled nitric oxide (FENO) in homes is very important for the control of respiratory diseases such as asthma. To this end, this paper proposes a small bionic sensing system for NO detection in an electronic nose based on analysis of the structure of the canine olfactory system and the airflow pattern in the nasal cavity. The proposed system detected NO at different FENO concentration levels with different bionic sensing systems in the electronic nose, and analyzed the data comparatively. Combined with a backpropagation neural network algorithm, the bionic canine sensing system improved the recognition rate for FENO detection by up to 98.1%. Moreover, electronic noses with a canine bionic sensing system can improve the performance of trace gas detection.
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spelling pubmed-97625972022-12-20 Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction Sun, Pengjiao Shi, Yunbo Shi, Yeping PLoS One Research Article A quantitative monitoring system for fractional exhaled nitric oxide (FENO) in homes is very important for the control of respiratory diseases such as asthma. To this end, this paper proposes a small bionic sensing system for NO detection in an electronic nose based on analysis of the structure of the canine olfactory system and the airflow pattern in the nasal cavity. The proposed system detected NO at different FENO concentration levels with different bionic sensing systems in the electronic nose, and analyzed the data comparatively. Combined with a backpropagation neural network algorithm, the bionic canine sensing system improved the recognition rate for FENO detection by up to 98.1%. Moreover, electronic noses with a canine bionic sensing system can improve the performance of trace gas detection. Public Library of Science 2022-12-19 /pmc/articles/PMC9762597/ /pubmed/36534648 http://dx.doi.org/10.1371/journal.pone.0279003 Text en © 2022 Sun et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Pengjiao
Shi, Yunbo
Shi, Yeping
Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction
title Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction
title_full Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction
title_fullStr Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction
title_full_unstemmed Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction
title_short Bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction
title_sort bionic sensing system and characterization of exhaled nitric oxide detection based on canine olfaction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762597/
https://www.ncbi.nlm.nih.gov/pubmed/36534648
http://dx.doi.org/10.1371/journal.pone.0279003
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AT shiyeping bionicsensingsystemandcharacterizationofexhalednitricoxidedetectionbasedoncanineolfaction