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Cited by 301

The DOI matches its Crossref record; 246 of the 246 references it cites were found in a registry or an index.

Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview

Open access
Pereira, Jorge, Porto-Figueira, Priscilla, Cavaco, Carina, Taunk, Khushman, Rapole, Srikanth, Dhakne, Rahul, Nagarajaram, Hampapathalu, Câmara, José·2015·Metabolites

Abstract

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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Crossref · 10.3390/metabo5010003

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Metadata

Authors
Pereira, J., Porto-Figueira, P., Cavaco, C., Taunk, K., Rapole, S., Dhakne, R., Nagarajaram, H., & Câmara, J.
Venue
Metabolites
Publisher
MDPI AG
Published
2015-01-09
Volume
5
Issue
1
Pages
3-55
ISSN
2218-1989 (ISSN-L)
OpenAlex
W2012558417
Cited by
301
References
246
FWCI
10.69
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview. https://app.cochat.ai/papers/10.3390/metabo5010003
The paper
Pereira, J., Porto-Figueira, P., Cavaco, C., Taunk, K., Rapole, S., Dhakne, R., Nagarajaram, H., & Câmara, J. (2015). Breath Analysis as a Potential and Non-Invasive Frontier in Disease Diagnosis: An Overview. Metabolites. https://doi.org/10.3390/metabo5010003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.