Exhaled Breath Volatile Organic Compound Analysis for the Detection of Lung Cancer- A Systematic Review
Abstract
A rapid and effective diagnostic method is essential for lung cancer since it shows symptoms only at its advanced stage. Research is being carried out in the area of exhaled breath analysis for the diagnosis of various pulmonary diseases including lung cancer. In this method exhaled breath volatile organic compounds (VOC) are analyzed with various techniques such as gas chromatography-mass spectrometry, ion mobility spectrometry, and electronic noses. The VOC analysis is suitable for lung cancer detection since it is non-invasive, fast, and also a low-cost method. In addition, this technique can detect primary stage nodules. This paper presents a systematic review of the various method employed by researchers in the breath analysis field. The articles were selected through various search engines like EMBASE, Google Scholar, Pubmed, and Google. In the initial screening process, 214 research papers were selected using various inclusion and exclusion criteria and finally, 55 articles were selected for the review. The results of the reviewed studies show that detection of lung cancer can be effectively done using the VOC analysis of exhaled breath. The results also show that this method can be used for detecting the different stages and histology of lung cancer. The exhaled breath VOC analysis technique will be popular in the future, bypassing the existing imaging techniques. This systematic review conveys the recent research opportunities, obstacles, difficulties, motivations, and suggestions associated with the breath analysis method for lung cancer detection.
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There is evidence that changes in the levels and types of VOC gases in breath can be indicative of various diseases and conditions.
“There is evidence to suggest that changes in the levels and types of VOC gases in breath can be indicative of various diseases and conditions, as shown in Fig. 6a (Binson and Subramoniam 2022; Wilson 2018).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Binson and Subramoniam 2022
The composition of exhaled breath can be affected by various factors, such as diet, age, smoking status, and medication use, which can make it difficult to identify disease-specific VOC signatures.
“The composition of exhaled breath can be affected by various factors, such as diet, age, smoking status, and medication use, which can make it difficult to identify disease-specific VOC signatures (Binson and Subramoniam 2022).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Binson and Subramoniam 2022
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- Authors
- Binson, V. A., & Subramoniam, M.
- Affiliations
- Sathyabama Institute of Science and Technology (IN)
- Corresponding author
- Binson, V.A.
- ORCID
- Binson, V.A.
- Venue
- Journal of Biomimetics, Biomaterials and Biomedical Engineering
- Publisher
- Trans Tech Publications, Ltd.
- Published
- 2022-05-20
- Volume
- 56
- Pages
- 17-35
- ISSN
- 2296-9837 (ISSN-L)
- 2296-9845
- OpenAlex
- W4280579615
- Cited by
- 14
- References
- 76
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 5 · 2023: 5 · 2021: 2
- FWCI
- 0.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of biomimetics, biomaterials and biomedical engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Chemical Sensor Technologies
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Physical Sciences › Chemical Engineering › Process Chemistry and Technology › Odor and Emission Control Technologies
- Keywords
- lung cancer detection, breath analysis, volatile organic compounds, non-invasive diagnosis, gas chromatography-mass spectrometry, ion mobility spectrometry, electronic nose, lung cancer histology, lung cancer staging
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