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Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials

Human breath has long been known as a system that can be used to diagnose diseases. With advancements in modern nanotechnology, gas sensors can now diagnose, predict, and monitor a wide range of diseases from human breath. From cancer to diabetes, the need to treat at the earliest stages of a diseas...

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Detalles Bibliográficos
Autores principales: Nasiri, Noushin, Clarke, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468653/
https://www.ncbi.nlm.nih.gov/pubmed/30884916
http://dx.doi.org/10.3390/bios9010043
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author Nasiri, Noushin
Clarke, Christian
author_facet Nasiri, Noushin
Clarke, Christian
author_sort Nasiri, Noushin
collection PubMed
description Human breath has long been known as a system that can be used to diagnose diseases. With advancements in modern nanotechnology, gas sensors can now diagnose, predict, and monitor a wide range of diseases from human breath. From cancer to diabetes, the need to treat at the earliest stages of a disease to both increase patient outcomes and decrease treatment costs is vital. Therefore, it is the promising candidate of rapid and non-invasive human breath gas sensors over traditional methods that will fulfill this need. In this review, we focus on the nano-dimensional design of current state-of-the-art gas sensors, which have achieved records in selectivity, specificity, and sensitivity. We highlight the methods of fabrication for these devices and relate their nano-dimensional materials to their record performance to provide a pathway for the gas sensors that will supersede.
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spelling pubmed-64686532019-04-23 Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials Nasiri, Noushin Clarke, Christian Biosensors (Basel) Review Human breath has long been known as a system that can be used to diagnose diseases. With advancements in modern nanotechnology, gas sensors can now diagnose, predict, and monitor a wide range of diseases from human breath. From cancer to diabetes, the need to treat at the earliest stages of a disease to both increase patient outcomes and decrease treatment costs is vital. Therefore, it is the promising candidate of rapid and non-invasive human breath gas sensors over traditional methods that will fulfill this need. In this review, we focus on the nano-dimensional design of current state-of-the-art gas sensors, which have achieved records in selectivity, specificity, and sensitivity. We highlight the methods of fabrication for these devices and relate their nano-dimensional materials to their record performance to provide a pathway for the gas sensors that will supersede. MDPI 2019-03-17 /pmc/articles/PMC6468653/ /pubmed/30884916 http://dx.doi.org/10.3390/bios9010043 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Nasiri, Noushin
Clarke, Christian
Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials
title Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials
title_full Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials
title_fullStr Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials
title_full_unstemmed Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials
title_short Nanostructured Gas Sensors for Medical and Health Applications: Low to High Dimensional Materials
title_sort nanostructured gas sensors for medical and health applications: low to high dimensional materials
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468653/
https://www.ncbi.nlm.nih.gov/pubmed/30884916
http://dx.doi.org/10.3390/bios9010043
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