The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
Breath Analysis in Disease Diagnosis: Methodological Considerations and Applications
Open accessAbstract
Breath analysis is a promising field with great potential for non-invasive diagnosis of a number of disease states. Analysis of the concentrations of volatile organic compounds (VOCs) in breath with an acceptable accuracy are assessed by means of using analytical techniques with high sensitivity, accuracy, precision, low response time, and low detection limit, which are desirable characteristics for the detection of VOCs in human breath. “Breath fingerprinting”, indicative of a specific clinical status, relies on the use of multivariate statistics methods with powerful in-built algorithms. The need for standardisation of sample collection and analysis is the main issue concerning breath analysis, blocking the introduction of breath tests into clinical practice. This review describes recent scientific developments in basic research and clinical applications, namely issues concerning sampling and biochemistry, highlighting the diagnostic potential of breath analysis for disease diagnosis. Several considerations that need to be taken into account in breath analysis are documented here, including the growing need for metabolomics to deal with breath profiles.
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Cited by
Prospects and Challenges of Volatile Organic Compound Sensors in Human Healthcare
Jalal, A. H., Alam, F., Roychoudhury, S., Umasankar, Y., Pala, N., & Bhansali, S. (2018) · ACS Sensors · doi:10.1021/acssensors.8b00400 · Cited by 315
Electronic nose: a non-invasive technology for breath analysis of diabetes and lung cancer patients
Behera, B., Joshi, R., Anil Vishnu, G. K., Bhalerao, S., & Pandya, H. J. (2019) · Journal of Breath Research · doi:10.1088/1752-7163/aafc77 · Cited by 179
Jin, H., Huynh, T.-P., & Haick, H. (2016) · Nano Letters · doi:10.1021/acs.nanolett.6b01066 · Cited by 167
The smell of lung disease: a review of the current status of electronic nose technology
van der Sar, I. G., Wijbenga, N., Nakshbandi, G., Aerts, J. G. J. V., Manintveld, O. C., Wijsenbeek, M. S., Hellemons, M. E., & Moor, C. C. (2021) · Respiratory Research · doi:10.1186/s12931-021-01835-4 · Cited by 87
Raninen, K., Lappi, J., Kolehmainen, M., Kolehmainen, M., Mykkänen, H., Poutanen, K., & Raatikainen, O. (2017) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2017.1312296 · Cited by 15
Metadata
- Authors
- Lourenço, C., & Turner, C.
- Venue
- Metabolites
- Publisher
- MDPI AG
- Published
- 2014-06-20
- Volume
- 4
- Issue
- 2
- Pages
- 465-498
- ISSN
- 2218-1989 (ISSN-L)
- OpenAlex
- W2022622856
- Cited by
- 314
- References
- 149
- FWCI
- 10.59
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
