Breath analysis: technical developments and challenges in the monitoring of human exposure to volatile organic compounds

Tang, Zhentao; Liu, Yong; Duan, Yixiang

doi:10.1016/j.jchromb.2015.08.041

Cited by 28 publications

(21 citation statements)

References 119 publications

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“…Sensor systems are characterized by their high throughput, ease of use, and affordability [150]. With the aid of modern fabrication techniques, sensor arrays find their notable implementations in optimizing the conditions for clinical applications.…”

Section: Analytical Techniques Applied In Exhaled Breath Voc Analysismentioning

confidence: 99%

“…With the aid of modern fabrication techniques, sensor arrays find their notable implementations in optimizing the conditions for clinical applications. One of the major sensor-based techniques in the clinical domain is the electronic nose (e-nose), which incorporates a series of non-selective gas sensors and a pattern-recognition algorithm [4, 150, 151]. The pattern of volatile compounds may represent not only an infecting organism or a disease state but also the metabolism of the host response, as well as other associated conditions [97, 152].…”

Section: Analytical Techniques Applied In Exhaled Breath Voc Analysismentioning

confidence: 99%

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Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus

2016

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Analysis of volatile organic compounds (VOCs) emanating from human exhaled breath can provide deep insight into the status of various biochemical processes in the human body. VOCs can serve as potential biomarkers of physiological and pathophysiological conditions related to several diseases. Breath VOC analysis, a noninvasive and quick biomonitoring approach, also has potential for the early detection and progress monitoring of several diseases. This paper gives an overview of the major VOCs present in human exhaled breath, possible biochemical pathways of breath VOC generation, diagnostic importance of their analysis, and analytical techniques used in the breath test. Breath analysis relating to diabetes mellitus and its characteristic breath biomarkers is focused on. Finally, some challenges and limitations of the breath test are discussed.

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Section: Analytical Techniques Applied In Exhaled Breath Voc Analysismentioning

confidence: 99%

Section: Analytical Techniques Applied In Exhaled Breath Voc Analysismentioning

confidence: 99%

Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus

2016

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“…Moreover, despite its increasing importance, the field of breath analysis still lacks in commonly accepted guidelines for standardized sampling, analysis procedures, and data handling. Hence, comparability and reproducibility of the obtained results is frequently limited [3,4,10].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Analytical Platform Based on Field-Asymmetric Ion Mobility Spectrometry, Infrared Sensing, and Luminescence-Based Oxygen Sensing for Exhaled Breath Analysis

Hagemann

Repp

Mizaikoff

2019

Sensors

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The reliable online analysis of volatile compounds in exhaled breath remains a challenge, as a plethora of molecules occur in different concentration ranges (i.e., ppt to %) and need to be detected against an extremely complex background matrix. Although this complexity is commonly addressed by hyphenating a specific analytical technique with appropriate preconcentration and/or preseparation strategies prior to detection, we herein propose the combination of three different detector types based on truly orthogonal measurement principles as an alternative solution: Field-asymmetric ion mobility spectrometry (FAIMS), Fourier-transform infrared (FTIR) spectroscopy-based sensors utilizing substrate-integrated hollow waveguides (iHWG), and luminescence sensing (LS). By carefully aligning the experimental needs and measurement protocols of all three methods, they were successfully integrated into a single compact analytical platform suitable for online measurements. The analytical performance of this prototype system was tested via artificial breath samples containing nitrogen (N2), oxygen (O2), carbon dioxide (CO2), and acetone as a model volatile organic compound (VOC) commonly present in breath. All three target analytes could be detected within their respectively breath-relevant concentration range, i.e., CO2 and O2 at 3-5 % and at ~19.6 %, respectively, while acetone could be detected with LOQs as low as 165-405 ppt. Orthogonality of the three methods operating in concert was clearly proven, which is essential to cover a possibly wide range of detectable analytes. Finally, the remaining challenges toward the implementation of the developed hybrid FAIMS-FTIR-LS system for exhaled breath analysis for metabolic studies in small animal intensive care units are discussed.

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“…Quantitative and qualitative variations of metabolites produced by host and pathogen could provide important information on the disease and its prognosis. Since many metabolic products are small molecules, volatile organic compounds (VOCs) analysis has the potential for providing a direct reflection of the physiological status of host-pathogen interactions (1). …”

Section: Introductionmentioning

confidence: 99%

Diagnosis of pulmonary tuberculosis and assessment of treatment response through analyses of volatile compound patterns in exhaled breath samples

Zetola

Modongo

Matsiri

et al. 2017

Journal of Infection

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Objectives We determined the performance of a sensor array (an electronic nose) made of 8 metalloporphyrins coated quartz microbalances sensors for the diagnosis and prognosis of pulmonary tuberculosis (TB) using exhaled breath samples. Methods TB cases and healthy controls were prospectively enrolled. Signals from volatile organic compounds (VOCs) in breath samples were measured at days 0, 2, 7, 14, and 30 of TB therapy and correlated with clinical and microbiological measurements. Results 51 pulmonary TB cases and 20 healthy HIV-uninfected controls were enrolled in the study. 31 (61%) of the 51 pulmonary TB cases were coinfected with HIV. At day 0 (before TB treatment initiation) the sensitivity of our device was estimated at 94.1% (95% confidence interval [CI], 83.8-98.8%) and specificity was 90.0% (95% CI, 68.3-98.8%) for distinguishing TB cases from controls. Time-dependent changes in the breath signals were identified as time on TB treatment progressed. Time-dependent signal changes were more pronounced among HIV-uninfected patients. Conclusion The identification of VOCs signals in breath samples using a sensor array achieved high sensitivity and specificity for the diagnosis of TB and allowed following signal changes during TB treatment.

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Breath analysis: technical developments and challenges in the monitoring of human exposure to volatile organic compounds

Cited by 28 publications

References 119 publications

Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus

Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus

Hybrid Analytical Platform Based on Field-Asymmetric Ion Mobility Spectrometry, Infrared Sensing, and Luminescence-Based Oxygen Sensing for Exhaled Breath Analysis

Diagnosis of pulmonary tuberculosis and assessment of treatment response through analyses of volatile compound patterns in exhaled breath samples

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