Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.13/3881 |
Resumo: | Currently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic tools, particularly those enabling reliable detection of diseases, at their early stages, preferably using non-invasive approaches. Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and airways and therefore the status and condition of the whole organism metabolism. Advanced sampling procedures (solid-phase and needle traps microextraction) coupled with modern analytical technologies (proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, e-noses, etc.) allow the characterisation of EB composition to an unprecedented level. However, a key challenge in EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research. There is no standard statistical framework/protocol yet available in literature that can be used for EB data analysis towards discovery of biomarkers for use in a typical clinical setup. Nevertheless, EB analysis has immense potential towards development of biomarkers for the early disease diagnosis of diseases. |
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Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overviewExhaled Breath (EB) analysisDisease diagnosisVolatile organic compounds (VOCs)Volatile fingerprintBreath analysis based disease diagnosis (BADD).Faculdade de Ciências Exatas e da EngenhariaCentro de Química da MadeiraCurrently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic tools, particularly those enabling reliable detection of diseases, at their early stages, preferably using non-invasive approaches. Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and airways and therefore the status and condition of the whole organism metabolism. Advanced sampling procedures (solid-phase and needle traps microextraction) coupled with modern analytical technologies (proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, e-noses, etc.) allow the characterisation of EB composition to an unprecedented level. However, a key challenge in EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research. There is no standard statistical framework/protocol yet available in literature that can be used for EB data analysis towards discovery of biomarkers for use in a typical clinical setup. Nevertheless, EB analysis has immense potential towards development of biomarkers for the early disease diagnosis of diseases.MDPIDigitUMaPereira, JorgePorto-Figueira, PriscillaCavaco, CarinaTaunk, KhushmanRapole, SrikanthDhakne, RahulNagarajaram, HampapathaluCâmara, José2021-12-02T15:17:11Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.13/3881engPereira, J., Porto-Figueira, P., Cavaco, C., Taunk, K., Rapole, S., Dhakne, R., ... & Câmara, J. S. (2015). Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview. Metabolites, 5(1), 3-55. https://doi.org/10.3390/metabo501000310.3390/metabo5010003info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-17T05:57:55Zoai:digituma.uma.pt:10400.13/3881Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:07:27.264193Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
title |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
spellingShingle |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview Pereira, Jorge Exhaled Breath (EB) analysis Disease diagnosis Volatile organic compounds (VOCs) Volatile fingerprint Breath analysis based disease diagnosis (BADD) . Faculdade de Ciências Exatas e da Engenharia Centro de Química da Madeira |
title_short |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
title_full |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
title_fullStr |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
title_full_unstemmed |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
title_sort |
Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview |
author |
Pereira, Jorge |
author_facet |
Pereira, Jorge Porto-Figueira, Priscilla Cavaco, Carina Taunk, Khushman Rapole, Srikanth Dhakne, Rahul Nagarajaram, Hampapathalu Câmara, José |
author_role |
author |
author2 |
Porto-Figueira, Priscilla Cavaco, Carina Taunk, Khushman Rapole, Srikanth Dhakne, Rahul Nagarajaram, Hampapathalu Câmara, José |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
DigitUMa |
dc.contributor.author.fl_str_mv |
Pereira, Jorge Porto-Figueira, Priscilla Cavaco, Carina Taunk, Khushman Rapole, Srikanth Dhakne, Rahul Nagarajaram, Hampapathalu Câmara, José |
dc.subject.por.fl_str_mv |
Exhaled Breath (EB) analysis Disease diagnosis Volatile organic compounds (VOCs) Volatile fingerprint Breath analysis based disease diagnosis (BADD) . Faculdade de Ciências Exatas e da Engenharia Centro de Química da Madeira |
topic |
Exhaled Breath (EB) analysis Disease diagnosis Volatile organic compounds (VOCs) Volatile fingerprint Breath analysis based disease diagnosis (BADD) . Faculdade de Ciências Exatas e da Engenharia Centro de Química da Madeira |
description |
Currently, a small number of diseases, particularly cardiovascular (CVDs), oncologic (ODs), neurodegenerative (NDDs), chronic respiratory diseases, as well as diabetes, form a severe burden to most of the countries worldwide. Hence, there is an urgent need for development of efficient diagnostic tools, particularly those enabling reliable detection of diseases, at their early stages, preferably using non-invasive approaches. Breath analysis is a non-invasive approach relying only on the characterisation of volatile composition of the exhaled breath (EB) that in turn reflects the volatile composition of the bloodstream and airways and therefore the status and condition of the whole organism metabolism. Advanced sampling procedures (solid-phase and needle traps microextraction) coupled with modern analytical technologies (proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, e-noses, etc.) allow the characterisation of EB composition to an unprecedented level. However, a key challenge in EB analysis is the proper statistical analysis and interpretation of the large and heterogeneous datasets obtained from EB research. There is no standard statistical framework/protocol yet available in literature that can be used for EB data analysis towards discovery of biomarkers for use in a typical clinical setup. Nevertheless, EB analysis has immense potential towards development of biomarkers for the early disease diagnosis of diseases. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 2015-01-01T00:00:00Z 2021-12-02T15:17:11Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.13/3881 |
url |
http://hdl.handle.net/10400.13/3881 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Pereira, J., Porto-Figueira, P., Cavaco, C., Taunk, K., Rapole, S., Dhakne, R., ... & Câmara, J. S. (2015). Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview. Metabolites, 5(1), 3-55. https://doi.org/10.3390/metabo5010003 10.3390/metabo5010003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799129943663181824 |