The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Breath Analysis: Potential for Clinical Diagnosis and Exposure Assessment
Abstract
Breath tests are among the least invasive methods available for clinical diagnosis, disease state monitoring, and environmental exposure assessment. In recent years, interest in breath analysis for clinical purposes has increased. This review is intended to describe the potential applications of breath tests, including clinical diagnosis of diseases and monitoring of environmental pollutant exposure, with emphasis on oxidative stress, lung diseases, metabolic disorder, gastroenteric diseases, and some other applications. The application of breath tests in assessment of exposure to volatile organic compounds is also addressed. Finally, both the advantages and limitations of breath analysis are summarized and discussed.
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Cites
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Cited by
Semiconductor Gas Sensors: Dry Synthesis and Application
Tricoli, A., Righettoni, M., & Teleki, A. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200903801 · Cited by 543
Clinical Application of Volatile Organic Compound Analysis for Detecting Infectious Diseases
Sethi, S., Nanda, R., & Chakraborty, T. (2013) · Clinical Microbiology Reviews · doi:10.1128/cmr.00020-13 · Cited by 331
Recent Advances in Emerging 2D Material‐Based Gas Sensors: Potential in Disease Diagnosis
Zhang, L., Khan, K., Zou, J., Zhang, H., & Li, Y. (2019) · Advanced Materials Interfaces · doi:10.1002/admi.201901329 · Cited by 281
Human body-odor components and their determination
Pandey, S. K., & Kim, K.-H. (2011) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2010.12.005 · Cited by 121
Metadata
- Authors
- Cao, W., & Duan, Y.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-05-01
- Volume
- 52
- Issue
- 5
- Pages
- 800-811
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2145188472
- Cited by
- 391
- References
- 99
- FWCI
- 7.07
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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