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Iitani K, Suzuki M, Ichikawa K, Toma K, Arakawa T, Mitsubayashi K. Image Sensing of Gaseous Acetone Using Secondary Alcohol Dehydrogenase-Immobilized Mesh for Exhaled Air. Anal Chem 2024; 96:11549-11556. [PMID: 38958207 DOI: 10.1021/acs.analchem.4c02251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Human-borne acetone is a potent marker of lipid metabolism. Here, an enzyme immobilization method for secondary alcohol dehydrogenase (S-ADH), which is suitable for highly sensitive and selective biosensing of acetone, was developed, and then its applicability was demonstrated for spatiotemporal imaging of concentration distribution. After various investigations, S-ADH-immobilized meshes could be prepared with less than 5% variation by cross-linking S-ADH with glutaraldehyde on a cotton mesh at 40 °C for 15 min. Furthermore, high activity was obtained by adjusting the concentration of the coenzyme nicotinamide adenine dinucleotide (NADH) solution added to the S-ADH-immobilized mesh to 500 μM and the solvent to a potassium phosphate buffer solution at pH 6.5. The gas imaging system using the S-ADH-immobilized mesh was able to image the decrease in NADH fluorescence (ex 340 nm, fl 490 nm) caused by the catalytic reaction of S-ADH and the acetone distribution in the concentration range of 0.1-10 ppm-v, including the breath concentration of healthy people at rest. The exhaled breath of two healthy subjects at 6 h of fasting was quantified as 377 and 673 ppb-v, which were consistent with the values quantified by gas chromatography-mass spectrometry.
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Affiliation(s)
- Kenta Iitani
- Department of Biomedical Devices and Instrumentation, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, 2-3-10 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-0062, Japan
| | - Mika Suzuki
- Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan
| | - Kenta Ichikawa
- Department of Biomedical Devices and Instrumentation, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, 2-3-10 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-0062, Japan
| | - Koji Toma
- College of Engineering, Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo 135-8548, Japan
| | - Takahiro Arakawa
- Department of Electric and Electronic Engineering, Tokyo University of Technology, 1404-1 Katakura, Hachioji City, Tokyo 192-0982, Japan
| | - Kohji Mitsubayashi
- Department of Biomedical Devices and Instrumentation, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, 2-3-10 Kanda-Surugadai, Chiyoda-ku, Tokyo 101-0062, Japan
- Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan
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2
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Wen Y, Xie Y, Wang C, Hua L, Zhang L, Chen P, Li H. Determination of the two-compartment model parameters of exhaled HCN by fast negative photoionization mass spectrometry. Talanta 2024; 271:125710. [PMID: 38295448 DOI: 10.1016/j.talanta.2024.125710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/02/2024]
Abstract
Breath exhaled hydrogen cyanide (HCN) has been identified to be associated with several respiratory diseases. Accurately distinguishing the concentration and release rate of different HCN sources is of great value in clinical research. However, there are still significant challenges due to the high adsorption and low concentration characteristics of exhaled HCN. In this study, a two-compartment kinetic model method based on negative photoionization mass spectrometry was developed to simultaneously determine the kinetic parameters including concentrations and release rates in the airways and alveoli. The influences of the sampling line diameter, length, and temperature on the response time of the sampling system were studied and optimized, achieving a response time of 0.2 s. The negative influence of oral cavity-released HCN was reduced by employing a strategy based on anatomical lung volume calculation. The calibration for HCN in the dynamic range of 0.5-100 ppbv and limit of detection (LOD) at 0.3 ppbv were achieved. Subsequently, the experiments of smoking, short-term passive smoking, and intake of bitter almonds were performed to examine the influences of endogenous and exogenous factors on the dynamic parameters of the model method. The results indicate that compared with steady-state concentration measurements, the kinetic parameters obtained using this model method can accurately and significantly reflect the changes in different HCN sources, highlighting its potential for HCN-related disease research.
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Affiliation(s)
- Yuxuan Wen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, People's Republic of China; University of Chinese Academy of Sciences, 19 Yuquan Road, Beijing, 100049, People's Republic of China; Liaoning Key Laboratory for Mass Spectrometry Technology and Instrumentation, Dalian 116023, People's Republic of China; Dalian Key Laboratory for Online Analytical Instrumentation, 457 Zhongshan Road, Dalian, 116023, People's Republic of China
| | - Yuanyuan Xie
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, People's Republic of China; Liaoning Key Laboratory for Mass Spectrometry Technology and Instrumentation, Dalian 116023, People's Republic of China; Dalian Key Laboratory for Online Analytical Instrumentation, 457 Zhongshan Road, Dalian, 116023, People's Republic of China
| | - Chen Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, People's Republic of China; University of Chinese Academy of Sciences, 19 Yuquan Road, Beijing, 100049, People's Republic of China; Liaoning Key Laboratory for Mass Spectrometry Technology and Instrumentation, Dalian 116023, People's Republic of China; Dalian Key Laboratory for Online Analytical Instrumentation, 457 Zhongshan Road, Dalian, 116023, People's Republic of China
| | - Lei Hua
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, People's Republic of China; Liaoning Key Laboratory for Mass Spectrometry Technology and Instrumentation, Dalian 116023, People's Republic of China; Dalian Key Laboratory for Online Analytical Instrumentation, 457 Zhongshan Road, Dalian, 116023, People's Republic of China
| | - Lichuan Zhang
- Affiliated Zhongshan Hospital of Dalian University, Dalian, People's Republic of China
| | - Ping Chen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, People's Republic of China; Liaoning Key Laboratory for Mass Spectrometry Technology and Instrumentation, Dalian 116023, People's Republic of China; Dalian Key Laboratory for Online Analytical Instrumentation, 457 Zhongshan Road, Dalian, 116023, People's Republic of China.
| | - Haiyang Li
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian, 116023, People's Republic of China; Liaoning Key Laboratory for Mass Spectrometry Technology and Instrumentation, Dalian 116023, People's Republic of China; Dalian Key Laboratory for Online Analytical Instrumentation, 457 Zhongshan Road, Dalian, 116023, People's Republic of China.
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3
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Kistenev YV, Borisov AV, Zasedatel VS, Spirina LV. Diabetes noninvasive diagnostics and monitoring through volatile biomarkers analysis in the exhaled breath using optical absorption spectroscopy. JOURNAL OF BIOPHOTONICS 2023; 16:e202300198. [PMID: 37643222 DOI: 10.1002/jbio.202300198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/22/2023] [Accepted: 08/22/2023] [Indexed: 08/31/2023]
Abstract
The review is aimed on the analysis the abilities of noninvasive diagnostics and monitoring of diabetes mellitus (DM) and DM-associated complications through volatile molecular biomarkers detection in the exhaled breath. The specific biochemical reactions in the body of DM patients and their associations with volatile molecular biomarkers in the breath are considered. The applications of optical spectroscopy methods, including UV, IR, and terahertz spectroscopy for DM-associated volatile molecular biomarkers measurements, are described. The applications of similar technique combined with machine learning methods in DM diagnostics using the profile of DM-associated volatile molecular biomarkers in exhaled air or "pattern-recognition" approach are discussed.
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Affiliation(s)
- Yury V Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
- Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics SB RAS, Tomsk, Russia
| | - Alexey V Borisov
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Vyacheslav S Zasedatel
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, Tomsk, Russia
| | - Liudmila V Spirina
- Division of Biochemistry and Molecular Biology, Siberian State Medical University, Tomsk, Russia
- Laboratory of Tumor Biochemistry, Cancer Research Institute, National Research Medical Center, Tomsk, Russia
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Li Y, Wei X, Zhou Y, Wang J, You R. Research progress of electronic nose technology in exhaled breath disease analysis. MICROSYSTEMS & NANOENGINEERING 2023; 9:129. [PMID: 37829158 PMCID: PMC10564766 DOI: 10.1038/s41378-023-00594-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 10/14/2023]
Abstract
Exhaled breath analysis has attracted considerable attention as a noninvasive and portable health diagnosis method due to numerous advantages, such as convenience, safety, simplicity, and avoidance of discomfort. Based on many studies, exhaled breath analysis is a promising medical detection technology capable of diagnosing different diseases by analyzing the concentration, type and other characteristics of specific gases. In the existing gas analysis technology, the electronic nose (eNose) analysis method has great advantages of high sensitivity, rapid response, real-time monitoring, ease of use and portability. Herein, this review is intended to provide an overview of the application of human exhaled breath components in disease diagnosis, existing breath testing technologies and the development and research status of electronic nose technology. In the electronic nose technology section, the three aspects of sensors, algorithms and existing systems are summarized in detail. Moreover, the related challenges and limitations involved in the abovementioned technologies are also discussed. Finally, the conclusion and perspective of eNose technology are presented.
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Affiliation(s)
- Ying Li
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Xiangyang Wei
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Yumeng Zhou
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
| | - Jing Wang
- School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun, 130022 China
| | - Rui You
- School of Instrument Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192 China
- Laboratory of Intelligent Microsystems, Beijing Information Science and Technology University, Beijing, 100192 China
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Grangeat P, Duval Comsa MP, Koenig A, Phlypo R. Dynamic Modeling of Carbon Dioxide Transport through the Skin Using a Capnometry Wristband. SENSORS (BASEL, SWITZERLAND) 2023; 23:6096. [PMID: 37447945 DOI: 10.3390/s23136096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023]
Abstract
The development of a capnometry wristband is of great interest for monitoring patients at home. We consider a new architecture in which a non-dispersive infrared (NDIR) optical measurement is located close to the skin surface and is combined with an open chamber principle with a continuous circulation of air flow in the collection cell. We propose a model for the temporal dynamics of the carbon dioxide exchange between the blood and the gas channel inside the device. The transport of carbon dioxide is modeled by convection-diffusion equations. We consider four compartments: blood, skin, the measurement cell and the collection cell. We introduce the state-space equations and the associated transition matrix associated with a Markovian model. We define an augmented system by combining a first-order autoregressive model describing the supply of carbon dioxide concentration in the blood compartment and its inertial resistance to change. We propose to use a Kalman filter to estimate the carbon dioxide concentration in the blood vessels recursively over time and thus monitor arterial carbon dioxide blood pressure in real time. Four performance factors with respect to the dynamic quantification of the CO2 blood concentration are considered, and a simulation is carried out based on data from a previous clinical study. These demonstrate the feasibility of such a technological concept.
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Affiliation(s)
- Pierre Grangeat
- CEA, Leti, MINATEC Campus, Université Grenoble Alpes, F-38000 Grenoble, France
| | | | - Anne Koenig
- CEA, Leti, MINATEC Campus, Université Grenoble Alpes, F-38000 Grenoble, France
| | - Ronald Phlypo
- CNRS, Grenoble INP, GIPSA-Lab, Université Grenoble Alpes, F-38000 Grenoble, France
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Sharma A, Kumar R, Varadwaj P. Smelling the Disease: Diagnostic Potential of Breath Analysis. Mol Diagn Ther 2023; 27:321-347. [PMID: 36729362 PMCID: PMC9893210 DOI: 10.1007/s40291-023-00640-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2023] [Indexed: 02/03/2023]
Abstract
Breath analysis is a relatively recent field of research with much promise in scientific and clinical studies. Breath contains endogenously produced volatile organic components (VOCs) resulting from metabolites of ingested precursors, gut and air-passage bacteria, environmental contacts, etc. Numerous recent studies have suggested changes in breath composition during the course of many diseases, and breath analysis may lead to the diagnosis of such diseases. Therefore, it is important to identify the disease-specific variations in the concentration of breath to diagnose the diseases. In this review, we explore methods that are used to detect VOCs in laboratory settings, VOC constituents in exhaled air and other body fluids (e.g., sweat, saliva, skin, urine, blood, fecal matter, vaginal secretions, etc.), VOC identification in various diseases, and recently developed electronic (E)-nose-based sensors to detect VOCs. Identifying such VOCs and applying them as disease-specific biomarkers to obtain accurate, reproducible, and fast disease diagnosis could serve as an alternative to traditional invasive diagnosis methods. However, the success of VOC-based identification of diseases is limited to laboratory settings. Large-scale clinical data are warranted for establishing the robustness of disease diagnosis. Also, to identify specific VOCs associated with illness states, extensive clinical trials must be performed using both analytical instruments and electronic noses equipped with stable and precise sensors.
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Affiliation(s)
- Anju Sharma
- Systems Biology Lab, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India
| | - Rajnish Kumar
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Uttar Pradesh, Lucknow Campus, Lucknow, India
| | - Pritish Varadwaj
- Systems Biology Lab, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India.
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7
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Rothbart N, Stanley V, Koczulla R, Jarosch I, Holz O, Schmalz K, Hübers HW. Millimeter-wave gas spectroscopy for breath analysis of COPD patients in comparison to GC-MS. J Breath Res 2022; 16. [PMID: 35688126 DOI: 10.1088/1752-7163/ac77aa] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 06/10/2022] [Indexed: 01/12/2023]
Abstract
The analysis of human breath is a very active area of research, driven by the vision of a fast, easy, and non-invasive tool for medical diagnoses at the point of care. Millimeter-wave gas spectroscopy (MMWGS) is a novel, well-suited technique for this application as it provides high sensitivity, specificity and selectivity. Most of all, it offers the perspective of compact low-cost systems to be used in doctors' offices or hospitals. In this work, we demonstrate the analysis of breath samples acquired in a medical environment using MMWGS and evaluate validity, reliability, as well as limitations and perspectives of the method. To this end, we investigated 28 duplicate samples from chronic obstructive lung disease patients and compared the results to gas chromatography-mass spectrometry (GC-MS). The quantification of the data was conducted using a calibration-free fit model, which describes the data precisely and delivers absolute quantities. For ethanol, acetone, and acetonitrile, the results agree well with the GC-MS measurements and are as reliable as GC-MS. The duplicate samples deviate from the mean values by only 6% to 18%. Detection limits of MMWGS depend strongly on the molecular species. For example, acetonitrile can be traced down to 1.8 × 10-12mol by the MMWGS system, which is comparable to the GC-MS system. We observed correlations of abundances between formaldehyde and acetaldehyde as well as between acetonitrile and acetaldehyde, which demonstrates the potential of MMWGS for breath research.
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Affiliation(s)
- Nick Rothbart
- Institute of Optical Sensor Systems, German Aerospace Center (DLR), Berlin, Germany.,Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Victoria Stanley
- Institute of Optical Sensor Systems, German Aerospace Center (DLR), Berlin, Germany.,Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rembert Koczulla
- Schön Klinik Berchtesgadener Land, Research Institute for Pulmonary Rehabilitation, Schönau am Königssee, Germany.,Philipps-University of Marburg, Department of Pulmonary Rehabilitation, Member of the German Center for Lung Research (DZL), Marburg, Germany
| | - Inga Jarosch
- Schön Klinik Berchtesgadener Land, Research Institute for Pulmonary Rehabilitation, Schönau am Königssee, Germany.,Philipps-University of Marburg, Department of Pulmonary Rehabilitation, Member of the German Center for Lung Research (DZL), Marburg, Germany
| | - Olaf Holz
- Fraunhofer ITEM, German Center for Lung Research (BREATH, DZL), Clinical Airway Research, Hannover, Germany
| | - Klaus Schmalz
- IHP-Leibniz-Institut für Innovative Mikroelektronik, Frankfurt (Oder), Germany
| | - Heinz-Wilhelm Hübers
- Institute of Optical Sensor Systems, German Aerospace Center (DLR), Berlin, Germany.,Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
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Kabir KM, Baker MJ, Donald WA. Micro- and nanoscale sensing of volatile organic compounds for early-stage cancer diagnosis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Mochalski P, King J, Mayhew CA, Unterkofler K. Modelling of Breath and Various Blood Volatilomic Profiles—Implications for Breath Volatile Analysis. Molecules 2022; 27:molecules27082381. [PMID: 35458579 PMCID: PMC9028376 DOI: 10.3390/molecules27082381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 12/04/2022] Open
Abstract
Researchers looking for biomarkers from different sources, such as breath, urine, or blood, frequently search for specific patterns of volatile organic compounds (VOCs), often using pattern recognition or machine learning techniques. However, they are not generally aware that these patterns change depending on the source they use. Therefore, we have created a simple model to demonstrate that the distribution patterns of VOCs in fat, mixed venous blood, alveolar air, and end-tidal breath are different. Our approach follows well-established models for the description of dynamic real-time breath concentration profiles. We start with a uniform distribution of end-tidal concentrations of selected VOCs and calculate the corresponding target concentrations. For this, we only need partition coefficients, mass balance, and the assumption of an equilibrium state, which avoids the need to know the volatiles’ metabolic rates and production rates within the different compartments.
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Affiliation(s)
- Paweł Mochalski
- Institute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria; (P.M.); (J.K.); (C.A.M.)
- Institute of Chemistry, Jan Kochanowski University, 25-369 Kielce, Poland
| | - Julian King
- Institute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria; (P.M.); (J.K.); (C.A.M.)
| | - Chris A. Mayhew
- Institute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria; (P.M.); (J.K.); (C.A.M.)
- Tiroler Krebsforschungsinstitut (TKFI), Innrain 66, A-6020 Innsbruck, Austria
| | - Karl Unterkofler
- Institute for Breath Research, Leopold-Franzens-Universität, Innrain 66, A-6020 Innsbruck, Austria; (P.M.); (J.K.); (C.A.M.)
- Research Center BI, University of Applied Sciences Vorarlberg, Hochschulstraße 1, A-6850 Dornbirn, Austria
- Correspondence:
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Gouzi F, Ayache D, Hédon C, Molinari N, Vicet A. Breath acetone concentration: too heterogeneous to constitute a diagnosis or prognosis biomarker in heart failure? A systematic review and meta-analysis. J Breath Res 2021; 16. [PMID: 34727537 DOI: 10.1088/1752-7163/ac356d] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 11/02/2021] [Indexed: 12/19/2022]
Abstract
Introduction. Exhaled breath acetone (ExA) has been investigated as a biomarker for heart failure (HF). Yet, barriers to its use in the clinical field have not been identified. The aim of this systematic review and meta-analysis was to assess the ExA heterogeneity and factors of variability in healthy controls (HC), to identify its relations with HF diagnosis and prognostic factors and to assess its diagnosis and prognosis accuracy in HF patients.Methods. A systematic search was conducted in PUBMED and Web of Science database. All studies with HC and HF patients with a measured ExA were included and studies providing ExA's diagnosis and prognosis accuracy were identified.Results. Out of 971 identified studies, 18 studies involving 833 HC and 1009 HF patients were included in the meta-analysis. In HC, ExA showed an important heterogeneity (I2= 99%). Variability factors were fasting state, sampling type and analytical method. The mean ExA was 1.89 times higher in HF patients vs. HC (782 [531-1032] vs. 413 [347-478] ppbv;p< 0.001). One study showed excellent diagnosis accuracy, and one showed a good prognosis value. ExA correlated with New York Heart Association (NYHA) dyspnea (p< 0.001) and plasma brain natriuretic peptide (p< 0.001). Studies showed a poor definition and reporting of included subjects.Discussion. Despite the between-study heterogeneity in HC, the evidence of an excellent diagnosis and prognosis value of ExA in HF from single studies can be extended to clinical populations worldwide. Factors of variability (ExA procedure and breath sampling) could further improve the diagnosis and prognosis values of this biomarker in HF patients.
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Affiliation(s)
- Fares Gouzi
- PhyMedExp, University of Montpellier, INSERM, CNRS, CHRU, Montpellier, France
| | - Diba Ayache
- IES, Montpellier University, CNRS, F-34000 Montpellier, France
| | - Christophe Hédon
- PhyMedExp, University of Montpellier, INSERM, CNRS, CHRU, Montpellier, France
| | - Nicolas Molinari
- IDESP, INSERM, Montpellier University, Montpellier University Hospital, Montpellier, France
| | - Aurore Vicet
- IES, Montpellier University, CNRS, F-34000 Montpellier, France
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11
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Zhang J, Tian Y, Luo Z, Qian C, Li W, Duan Y. Breath volatile organic compound analysis: an emerging method for gastric cancer detection. J Breath Res 2021; 15. [PMID: 34610588 DOI: 10.1088/1752-7163/ac2cde] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 10/05/2021] [Indexed: 12/14/2022]
Abstract
Gastric cancer is a common malignancy, being the fifth most frequently diagnosed cancer and the fourth leading cause of cancer-related deaths worldwide. Diagnosis of gastric cancer at the early stage is critical to effectively improve the survival rate. However, a substantial proportion of patients with gastric cancer in the early stages lack specific symptoms or are asymptomatic. Moreover, the imaging techniques currently used for gastric cancer screening, such as computed tomography and barium examination, are usually radioactive and have low sensitivity and specificity. Even though endoscopy has high accuracy for gastric cancer screening, its application is limited by the invasiveness of the technique. Breath analysis is an economic, effective, easy to perform, non-invasive detection method, and has no undesirable side effects on subjects. Extensive worldwide research has been conducted on breath volatile organic compounds (VOCs), which reveals its prospect as a potential method for gastric cancer detection. Many interesting results have been obtained and innovative methods have been introduced in this subject; hence, an extensive review would be beneficial. By providing a comprehensive list of breath VOCs identified by gastric cancer would promote further research in this field. This review summarizes the commonly used technologies for exhaled breath analysis, focusing on the application of analytical instruments in the detection of breath VOCs in gastric cancers, and the alterations in the profile of breath biomarkers in gastric cancer patients are discussed as well.
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Affiliation(s)
- Jing Zhang
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
| | - Yonghui Tian
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
| | - Zewei Luo
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
| | - Cheng Qian
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, People's Republic of China
| | - Wenwen Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, People's Republic of China
| | - Yixiang Duan
- Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, People's Republic of China
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12
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Xiang L, Wu S, Hua Q, Bao C, Liu H. Volatile Organic Compounds in Human Exhaled Breath to Diagnose Gastrointestinal Cancer: A Meta-Analysis. Front Oncol 2021; 11:606915. [PMID: 33747921 PMCID: PMC7970758 DOI: 10.3389/fonc.2021.606915] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 01/21/2021] [Indexed: 12/11/2022] Open
Abstract
Introduction Human exhaled volatile organic compounds (VOCs) are being extensively studied for the purposes of noninvasive cancer diagnoses. This article was primarily to assess the feasibility of utilizing exhaled VOCs analysis for gastrointestinal cancer (GIC) diagnosis. Methods PRISMA-based system searches were conducted for related studies of exhaled VOCs in GIC diagnosis based on predetermined criteria. Relevant articles on colorectal cancer and gastroesophageal cancer were summarized, and meta analysis was performed on articles providing sensitivity and specificity data. Results From 2,227 articles, 14 were found to meet inclusion criteria, six of which were on colorectal cancer (CRC) and eight on Gastroesophageal cancer(GEC). Five articles could provide specific data of sensitivity and specificity in GEC, which were used for meta-analysis. The pooled sensitivity, specificity, diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated based on the combination of these data, and were 85.0% [95% confidence interval (CI): 79.0%-90.0%], 89.0% (95%CI: 86.0%-91.0%), 41.30 (21.56-79.10), and 0.93, respectively. Conclusion VOCs can distinguish gastrointestinal cancers from other gastrointestinal diseases, opening up a new avenue for the diagnosis and identification of gastrointestinal cancers, and the analysis of VOCs in exhaled breath has potential clinical application in screening. VOCs are promising tumor biomarkers for GIC diagnosis. Furthermore, limitations like the heterogeneity of diagnostic VOCs between studies should be minded.
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Affiliation(s)
- Lijuan Xiang
- Department of Tumor Biotherapy (5th Ward of the Department of Oncology), Anhui Provincial Cancer Hospital, West District of The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Sihan Wu
- Department of Tumor Biotherapy (5th Ward of the Department of Oncology), Anhui Provincial Cancer Hospital, West District of The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.,Department of Oncology, Affiliated Provincial Hospital of Anhui Medical University, Hefei, China
| | - Qingling Hua
- Department of Oncology, Yijishan Hospital, Wannan Medical College, Wuhu, China
| | - Chuyang Bao
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Hu Liu
- Department of Tumor Biotherapy (5th Ward of the Department of Oncology), Anhui Provincial Cancer Hospital, West District of The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
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13
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Holden K, Makinde M, Wilde M, Richardson M, Coats T, Monks P, Gaillard EA. Assessing the feasibility and acceptability of online measurements of exhaled volatile organic compounds (VOCs) in children with preschool wheeze: a pilot study. BMJ Paediatr Open 2021; 5:e001003. [PMID: 34568587 PMCID: PMC8438855 DOI: 10.1136/bmjpo-2020-001003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/17/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Investigating airway inflammation and pathology in wheezy preschool children is both technically and ethically challenging. Identifying and validating non-invasive tests would be a huge clinical advance. Real-time analysis of exhaled volatile organic compounds (VOCs) in adults is established, however, the feasibility of this non-invasive method in young children remains undetermined. AIM To determine the feasibility and acceptability of obtaining breath samples from preschool children by means of real-time mass spectrometry analysis of exhaled VOCs. METHODS Breath samples from preschool children were collected and analysed in real time by proton transfer reaction-time of flight-mass spectrometry (PTR-TOF-MS) capturing unique breath profiles. Acetone (mass channel m/z 59) was used as a reference profile to investigate the breath cycle in more detail. Dynamic time warping (DTW) was used to compare VOC profiles from adult breath to those we obtained in preschool children. RESULTS 16 children were recruited in the study, of which eight had acute doctor-diagnosed wheeze (mean (range) age 3.2 (1.9-4.5) years) and eight had no history of wheezing (age 3.3 (2.2-4.1) years). Fully analysable samples were obtained in 11 (68%). DTW was used to ascertain the distance between the time series of mass channel m/z 59 (acetone) and the other 193 channels. Commonality of 12 channels (15, 31, 33, 41, 43, 51, 53, 55, 57, 60, 63 and 77) was established between adult and preschool child samples despite differences in the breathing patterns. CONCLUSION Real-time measurement of exhaled VOCs by means of PTR-MS is feasible and acceptable in preschool children. Commonality in VOC profiles was found between adult and preschool children.
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Affiliation(s)
- Karl Holden
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Misty Makinde
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Michael Wilde
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Matthew Richardson
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Tim Coats
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Paul Monks
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Erol A Gaillard
- Leicester NIHR Biomedical Research Centre (Respiratory Theme), Glenfield Hospital, Leicester, UK.,Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
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14
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Hori A, Suijo K, Kondo T, Hotta N. Breath isoprene excretion during rest and low-intensity cycling exercise is associated with skeletal muscle mass in healthy human subjects. J Breath Res 2020; 15:016009. [PMID: 33027773 DOI: 10.1088/1752-7163/abbf39] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The physiological roles of isoprene, which is one of the many endogenous volatile organic compounds contained in exhaled breath, are not well understood. In recent years, exhaled isoprene has been associated with the skeletal muscle. Some studies have suggested that the skeletal muscle produces and/or stores some of the isoprene. However, the evidence supporting this association remains sparse and inconclusive. Furthermore, aging may affect breath isoprene response because of changes in the skeletal muscle quantity and quality. Therefore, we investigated the association between the breath isoprene excretion ([Formula: see text]) and skeletal muscle mass in young (n = 7) and old (n = 7) adults. The participants performed an 18 min cycling exercise after a 3 min rest. The workload corresponded to an intensity of 30% of the heart rate reserve, as calculated by the Karvonen formula. The exhaled breath of each participant was collected during the exercise test. We calculated [Formula: see text] from the product minute ventilation and isoprene concentration and, then, investigated the relationships between [Formula: see text] and muscle mass, which was measured by multi-frequency bioelectrical impedance analysis. Importantly, muscle mass persisted as a significant determinant that explained the variance in [Formula: see text] at rest even after adjusting for age. Furthermore, the muscle mass was a significant determinative factor for [Formula: see text] response during exercise, regardless of age. These data indicated that skeletal muscle mass could be one of the determinative factors for [Formula: see text] during rest and response to exercise. Thus, we suggest that the skeletal muscle may play an important role in generating and/or storing some of the endogenous isoprene. This new knowledge will help to better understand the physiological functions of isoprene in humans (Approval No. 20190079).
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Affiliation(s)
- Amane Hori
- Graduate School of Life and Health Sciences, Chubu University, 1200 Matsumoto-cho, Kasugai, Aichi 487-8501, Japan
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15
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Bellagambi FG, Lomonaco T, Ghimenti S, Biagini D, Fuoco R, Di Francesco F. Determination of peppermint compounds in breath by needle trap micro-extraction coupled with gas chromatography-tandem mass spectrometry. J Breath Res 2020; 15. [PMID: 33238253 DOI: 10.1088/1752-7163/abcdec] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 11/25/2020] [Indexed: 01/26/2023]
Abstract
Breath analysis is an alternative approach for disease diagnosis and for monitoring therapy. The lack of standardized procedures for collecting and analysing breath samples currently limits its use in clinical practice. In order to overcome this limitation, the "Peppermint Consortium" was established within the breath community to carry out breath wash-out experiments and define reference values for a panel of compounds contained in the peppermint oil capsule. Here, we present a needle trap micro-extraction technique coupled with gas chromatography and tandem mass spectrometry for a rapid and accurate determination of alpha-pinene, beta-pinene, limonene, eucalyptol, menthofuran, menthone, menthol and menthyl acetate in mixed breath samples. Detection limits between 1 and 20 pptv were observed when 25 mL of a humidified standard gas mixture were loaded into a needle trap device at a flow rate of 10 mL/min. Inter- and intra-day precisions were lower than 15%, thus confirming the reliability of the assay. Our procedure was used to analyse breath samples taken from a nominally healthy volunteer who were invited to swallow a 200 mg capsule of peppermint oil. Six samples were collected at various times within six hours of ingestion. Analyte concentrations were not affected by the sampling mode (i.e. mixed vs. end-tidal fraction), whereas respiratory rate and exhalation flow rate values slightly influenced the concentration of the target compounds in breath samples.
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Affiliation(s)
- Francesca G Bellagambi
- Institut des Sciences Analytiques, Université Claude Bernard Lyon 1, 5, rue de la Doua, Villeurbanne, FRANCE, 69100, FRANCE
| | - Tommaso Lomonaco
- Department of Chemistry and Industrial Chemistry, Universita degli Studi di Pisa Dipartimento di Chimica e Chimica Industriale, Via G. Moruzzi, 13, Pisa, Tuscany, 56124, ITALY
| | - Silvia Ghimenti
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
| | - Denise Biagini
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
| | - Roger Fuoco
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
| | - Fabio Di Francesco
- Department of Chemistry and Industrial Chemistry, University of Pisa, Pisa, Toscana, ITALY
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16
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Königstein K, Abegg S, Schorn AN, Weber IC, Derron N, Krebs A, Gerber PA, Schmidt-Trucksäss A, Güntner AT. Breath acetone change during aerobic exercise is moderated by cardiorespiratory fitness. J Breath Res 2020; 15:016006. [PMID: 32957090 DOI: 10.1088/1752-7163/abba6c] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Exhaled breath acetone (BrAce) was investigated during and after submaximal aerobic exercise as a volatile biomarker for metabolic responsiveness in high and lower-fit individuals in a prospective cohort pilot-study. Twenty healthy adults (19-39 years) with different levels of cardiorespiratory fitness (VO2peak), determined by spiroergometry, were recruited. BrAce was repeatedly measured by proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) during 40-55 min submaximal cycling exercise and a post-exercise period of 180 min. Activity of ketone and fat metabolism during and after exercise were assessed by indirect calorimetric calculation of fat oxidation rate and by measurement of venous β-hydroxybutyrate (βHB). Maximum BrAce ratios were significantly higher during exercise in the high-fit individuals compared to the lower-fit group (t-test; p= 0.03). Multivariate regression showed 0.4% (95%-CI = -0.2%-0.9%, p= 0.155) higher BrAce change during exercise for every ml kg-1 min-1 higher VO2peak. Differences of BrAce ratios during exercise were similar to fat oxidation rate changes, but without association to respiratory minute volume. Furthermore, the high-fit group showed higher maximum BrAce increase rates (46% h-1) in the late post-exercise phase compared to the lower-fit group (29% h-1). As a result, high-fit young, healthy individuals have a higher increase in BrAce concentrations related to submaximal exercise than lower-fit subjects, indicating a stronger exercise-related activation of fat metabolism.
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Affiliation(s)
- Karsten Königstein
- Department for Sports, Exercise and Health, University of Basel, Birsstrasse 320 B, 4052, Basel, Switzerland. These authors contributed equally to this work
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17
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Fuchs P, Trautner M, Saß R, Kamysek S, Miekisch W, Bier A, Stoll P, Schubert JK. Spatial mapping of VOC exhalation by means of bronchoscopic sampling. J Breath Res 2020; 14:046012. [PMID: 33021213 DOI: 10.1088/1752-7163/abb478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Breath analysis holds promise for non-invasive in vivo monitoring of disease related processes. However, physiological parameters may considerably affect profiles of exhaled volatile organic substances (VOCs). Volatile substances can be released via alveoli, bronchial mucosa or from the upper airways. The aim of this study was the systematic investigation of the influence of different sampling sites in the respiratory tract on VOC concentration profiles by means of a novel experimental setup. After ethical approval, breath samples were collected from 25 patients undergoing bronchoscopy for endobronchial ultrasound or bronchoscopic lung volume reduction from different sites in the airways. All patients had total intravenous anaesthesia under pressure-controlled ventilation. If necessary, respiratory parameters were adjusted to keep PETCO2 = 35-45 mm Hg. 30 ml gas were withdrawn at six sampling sites by means of gastight glass syringes: S1 = Room air, S2 = Inspiration, S3 = Endotracheal tube, S4 = Trachea, S5 = Right B6 segment, S6 = Left B6 segment (S4-S6 through the bronchoscope channel). 10 ml were used for VOC analysis, 20 ml for PCO2 determination. Samples were preconcentrated by solid-phase micro-extraction (SPME) and analysed by gas chromatography-mass spectrometry (GC-MS). PCO2 was determined in a conventional blood gas analyser. Statistically significant differences in substance concentrations for acetone, isoprene, 2-methyl-pentane and n-hexane could be observed between different sampling sites. Increasing substance concentrations were determined for acetone (15.3%), 2-methyl-pentane (11.4%) and n-hexane (19.3%) when passing from distal to proximal sampling sites. In contrast, isoprene concentrations decreased by 9.9% from proximal to more distal sampling sites. Blank bronchoscope measurements did not show any contaminations. Increased substance concentrations in the proximal respiratory tract may be explained through substance excretion from bronchial mucosa while decreased concentrations could result from absorption or reaction processes. Spatial mapping of VOC profiles can provide novel insights into substance specific exhalation kinetics and mechanisms.
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Affiliation(s)
- Patricia Fuchs
- Department of Anaesthesiology and Intensive Care Medicine, Rostock University Medical Centre, ROMBAT, Germany
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18
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Hori A, Ichihara M, Kimura H, Ogata H, Kondo T, Hotta N. Inhalation of molecular hydrogen increases breath acetone excretion during submaximal exercise: a randomized, single-blinded, placebo-controlled study. Med Gas Res 2020; 10:96-102. [PMID: 33004705 PMCID: PMC8086628 DOI: 10.4103/2045-9912.296038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Aerobic exercise is widely accepted as a beneficial option for reducing fat in humans. Recently, it has been suggested that molecular hydrogen (H2) augments mitochondrial oxidative phosphorylation. Therefore, the hypothesis that inhaling H2 could facilitate lipid metabolism during aerobic exercise was investigated in the current study by measuring the breath acetone levels, which could be used as non-invasive indicators of lipid metabolism. This study aimed to investigate the effect of inhaling H2 on breath acetone output during submaximal exercise using a randomized, single-blinded, placebo-controlled, and cross-over experimental design. After taking a 20-minute baseline measurement, breath acetone levels were measured in ten male subjects who performed a 60% peak oxygen uptake-intensity cycling exercise for 20 minutes while inhaling either 1% H2 or a control gas. In another experiment, six male subjects remained in a sitting position for 45 minutes while inhaling either 1% H2 or a control gas. H2 significantly augmented breath acetone and enhanced oxygen uptake during exercise (P < 0.01). However, it did not significantly change oxidative stress or antioxidant activity responses to exercise, nor did it significantly alter the breath acetone or oxygen uptake during prolonged resting states. These results suggest that inhaling H2 gas promotes an exercise-induced increase in hepatic lipid metabolism. The study was approved by the Ethical Committee of Chubu University, Japan (approved No. 260086-2) on March 29, 2018.
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Affiliation(s)
- Amane Hori
- Graduate School of Life and Health Sciences, Chubu University, Kasugai, Japan
| | | | - Hayata Kimura
- College of Life and Health Sciences, Chubu University, Kasugai, Japan
| | - Hisayoshi Ogata
- College of Life and Health Sciences, Chubu University, Kasugai, Japan
| | - Takaharu Kondo
- College of Life and Health Sciences, Chubu University, Kasugai, Japan
| | - Norio Hotta
- College of Life and Health Sciences, Chubu University, Kasugai, Japan
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19
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Zhou T, Wu T, Wu Q, Chen W, Wu M, Ye C, He X. Real-Time Monitoring of 13C- and 18O-Isotopes of Human Breath CO 2 Using a Mid-Infrared Hollow Waveguide Gas Sensor. Anal Chem 2020; 92:12943-12949. [PMID: 32864957 DOI: 10.1021/acs.analchem.0c01586] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Real-time measuring of CO2 isotopes (13CO2, 12CO2, and 18OC16O) in exhaled breath using a mid-infrared hollow waveguide gas sensor incorporating a 2.73 μm distributed feedback laser was proposed and demonstrated for the first time based on calibration-free wavelength modulation spectroscopy. The measurement precisions for δ13C and δ18O were, respectively, 0.26 and 0.57‰ for an integration time of 131 s by Allan variance analysis. These measurement precisions achieved in the present work were at least 3.5 times better than those reported using direct absorption spectroscopy and 1.3 times better than those obtained by calibration-needed wavelength modulation absorption spectroscopy. Continuous measurement of three isotopes in the breathing cycle was performed. Alveolar gas from the expirogram was identified, and the 13C/12C and 18O/16O ratios were found to be almost constant during the alveolar plateau, which enables optimization of breath sampling and provides accurate information on metabolic processes. The 13C/12C and 18O/16O isotope ratios at the alveolar plateau of five breath cycles were averaged, yielding δ13C and δ18O values of (-24.3 ± 3.4) and (-30.7 ± 2.6) ‰, respectively. This study demonstrates the feasibility of real-time analysis of 13C- and 18O-isotopes of human breath CO2 in clinical applications and shows its potential for diagnosing respiratory-related diseases with high sensitivity, selectivity, and specificity.
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Affiliation(s)
- Tao Zhou
- Key Laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China
| | - Tao Wu
- Key Laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China
| | - Qiang Wu
- Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle Upon Tyne NE1 8ST, U.K.,Key Laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China
| | - Weidong Chen
- Laboratoire de Physicochimie de l'Atmosphère, Université du Littoral Côte d'Opale 189A, Av. Maurice Schumann, Dunkerque 59140, France
| | - Mingwei Wu
- Shenzhen Hospital, Southern Medical University, 1333 Xinhu Rd, Shenzhen 518000, China
| | - Chenwen Ye
- Key Laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China
| | - Xingdao He
- Key Laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China
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20
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Ager C, Mochalski P, King J, Mayhew CA, Unterkofler K. Effect of inhaled acetone concentrations on exhaled breath acetone concentrations at rest and during exercise. J Breath Res 2020; 14:026010. [PMID: 31829984 DOI: 10.1088/1752-7163/ab613a] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Real-time measurements of the differences in inhaled and exhaled, unlabeled and fully deuterated acetone concentration levels, at rest and during exercise, have been conducted using proton transfer reaction mass spectrometry. A novel approach to continuously differentiate between the inhaled and exhaled breath acetone concentration signals is used. This leads to unprecedented fine grained data of inhaled and exhaled concentrations. The experimental results obtained are compared with those predicted using a simple three compartment model that theoretically describes the influence of inhaled concentrations on exhaled breath concentrations for volatile organic compounds with high blood:air partition coefficients, and hence is appropriate for acetone. An agreement between the predicted and observed concentrations is obtained. Our results highlight that the influence of the upper airways cannot be neglected for volatiles with high blood:air partition coefficients, i.e. highly water soluble volatiles.
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Affiliation(s)
- Clemens Ager
- Institute for Breath Research, Leopold-Franzens-Universität Innsbruck, Rathausplatz 4, A-6850 Dornbirn, Austria. Univ.-Clinic for Anesthesia and Intensive Care, Innsbruck Medical University, Anichstr. 35, A-6020 Innsbruck, Austria
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21
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Wei W, Ramalho O, Mandin C. Modeling the bioaccessibility of inhaled semivolatile organic compounds in the human respiratory tract. Int J Hyg Environ Health 2020; 224:113436. [PMID: 31978732 DOI: 10.1016/j.ijheh.2019.113436] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 11/26/2019] [Accepted: 12/13/2019] [Indexed: 01/05/2023]
Abstract
The bioaccessibility of semivolatile organic compounds (SVOCs) via inhalation has rarely been studied, as indicated by the literature. There is no model to calculate the SVOC bioaccessibility following inhalation, and measurement data have focused on only a few polycyclic aromatic hydrocarbons (PAHs) in the particle phase. The present work developed a mechanistic model to address the mass transfer of inhaled SVOCs among the gas, particle and mucus phases in the human respiratory tract. The model considers (1) the SVOC partitioning between the gas and particle phases as well as between the gas and mucus phases and (2) the deposition of gas- and particle-phase SVOCs in the mucus of the respiratory tract. Based on the model, the inhalation bioaccessibility for 72 SVOCs was calculated. The SVOCs were measured in French dwellings at the nationwide scale, and their median concentrations in both the gas and particle phases were used for the bioaccessibility calculations. The results show that the inhalation bioaccessibility varies considerably from one compound to another, e.g., between 0.62 and 1.00 for phthalates, between 0.71 and 0.79 for polybrominated diphenyl ethers (PBDEs), between 0.48 and 0.56 for polychlorinated biphenyls (PCBs), between 0.48 and 1.00 for different chemical families of pesticides and between 0.48 and 0.90 for PAHs.
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Affiliation(s)
- Wenjuan Wei
- University of Paris-Est, Scientific and Technical Center for Building (CSTB), Health and Comfort Department, French Indoor Air Quality Observatory (OQAI), 84 Avenue Jean Jaurès, Marne la Vallée Cedex 2, Champs sur Marne, 77447, France.
| | - Olivier Ramalho
- University of Paris-Est, Scientific and Technical Center for Building (CSTB), Health and Comfort Department, French Indoor Air Quality Observatory (OQAI), 84 Avenue Jean Jaurès, Marne la Vallée Cedex 2, Champs sur Marne, 77447, France
| | - Corinne Mandin
- University of Paris-Est, Scientific and Technical Center for Building (CSTB), Health and Comfort Department, French Indoor Air Quality Observatory (OQAI), 84 Avenue Jean Jaurès, Marne la Vallée Cedex 2, Champs sur Marne, 77447, France
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22
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Ghorbani R, Schmidt FM. Fitting of single-exhalation profiles using a pulmonary gas exchange model—application to carbon monoxide. J Breath Res 2019; 13:026001. [DOI: 10.1088/1752-7163/aafc91] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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23
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Highly Sensitive Room-Temperature Sensor Based on Nanostructured K₂W₇O 22 for Application in the Non-Invasive Diagnosis of Diabetes. SENSORS 2018; 18:s18113703. [PMID: 30384465 PMCID: PMC6263376 DOI: 10.3390/s18113703] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 10/26/2018] [Accepted: 10/29/2018] [Indexed: 12/20/2022]
Abstract
Diabetes is one of the most rapidly-growing chronic diseases in the world. Acetone, a volatile organic compound in exhaled breath, shows a positive correlation with blood glucose and has proven to be a biomarker for type-1 diabetes. Measuring the level of acetone in exhaled breath can provide a non-invasive, low risk of infection, low cost, and convenient way to monitor the health condition of diabetics. There has been continuous demand for the improvement of this non-invasive, sensitive sensor system to provide a fast and real-time electronic readout of blood glucose levels. A novel nanostructured K2W7O22 has been recently used to test acetone with concentration from 0 parts-per-million (ppm) to 50 ppm at room temperature. The results revealed that a K2W7O22 sensor shows a sensitive response to acetone, but the detection limit is not ideal due to the limitations of the detection system of the device. In this paper, we report a K2W7O22 sensor with an improved sensitivity and detection limit by using an optimized circuit to minimize the electronic noise and increase the signal to noise ratio for the purpose of weak signal detection while the concentration of acetone is very low.
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24
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Ghorbani R, Blomberg A, Schmidt FM. Modeling Pulmonary Gas Exchange and Single-Exhalation Profiles of Carbon Monoxide. Front Physiol 2018; 9:927. [PMID: 30104980 PMCID: PMC6077244 DOI: 10.3389/fphys.2018.00927] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 06/25/2018] [Indexed: 12/20/2022] Open
Abstract
Exhaled breath carbon monoxide (eCO) is a candidate biomarker for non-invasive assessment of oxidative stress and respiratory diseases. Standard end-tidal CO analysis, however, cannot distinguish, whether eCO reflects endogenous CO production, lung diffusion properties or exogenous sources, and is unable to resolve a potential airway contribution. Coupling real-time breath gas analysis to pulmonary gas exchange modeling holds promise to improve the diagnostic value of eCO. A trumpet model with axial diffusion (TMAD) is used to simulate the dynamics of CO gas exchange in the respiratory system and corresponding eCO concentrations for the first time. The mass balance equation is numerically solved employing a computationally inexpensive routine implementing the method of lines, which provides the distribution of CO in the respiratory tract during inhalation, breath-holding, and exhalation with 1 mm spatial and 0.01 s temporal resolution. Initial estimates of the main TMAD parameters, the maximum CO fluxes and diffusing capacities in alveoli and airways, are obtained using healthy population tissue, blood and anatomical data. To verify the model, mouth-exhaled expirograms from two healthy subjects, measured with a novel, home-built laser-based CO sensor, are compared to single-exhalation profiles simulated using actual breath sampling data, such as exhalation flow rate (EFR) and volume. A very good agreement is obtained in exhalation phases I and III for EFRs between 55 and 220 ml/s and after 10 and 20 s of breath-holding, yielding a unique set of TMAD parameters. The results confirm the recently observed EFR dependence of CO expirograms and suggest that measured end-tidal eCO is always lower than alveolar and capillary CO. Breath-holding allows the observation of close-to-alveolar CO concentrations and increases the sensitivity to the airway TMAD parameters in exhalation phase I. A parametric simulation study shows that a small increase in airway flux can be distinguished from an increase in alveolar flux, and that slight changes in alveolar flux and diffusing capacity have a significantly different effect on phase III of the eCO profiles.
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Affiliation(s)
- Ramin Ghorbani
- Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden
| | - Anders Blomberg
- Division of Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Florian M Schmidt
- Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden
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25
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Jalal AH, Alam F, Roychoudhury S, Umasankar Y, Pala N, Bhansali S. Prospects and Challenges of Volatile Organic Compound Sensors in Human Healthcare. ACS Sens 2018; 3:1246-1263. [PMID: 29879839 DOI: 10.1021/acssensors.8b00400] [Citation(s) in RCA: 97] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The chemical signatures of volatile organic compounds (VOCs) in humans can be utilized for point-of-care (POC) diagnosis. Apart from toxic exposure studies, VOCs generated in humans can provide insights into one's healthy and diseased metabolic states, acting as a biomarker for identifying numerous diseases noninvasively. VOC sensors and the technology of e-nose have received significant attention for continuous and selective monitoring of various physiological and pathophysiological conditions of an individual. Noninvasive detection of VOCs is achieved from biomatrices of breath, sweat and saliva. Among these, detection from sweat and saliva can be continuous in real-time. The sensing approaches include optical, chemiresistive and electrochemical techniques. This article provides an overview of such techniques. These, however, have limitations of reliability, precision, selectivity, and stability in continuous monitoring. Such limitations are due to lack of sensor stability and complexity of samples in a multivariate environment, which can lead to false readings. To overcome selectivity barriers, sensor arrays enabling multimodal sensing, have been used with pattern recognition techniques. Stability and precision issues have been addressed through advancements in nanotechnology. The use of various forms of nanomaterial not only enhance sensing performance, but also plays a major role in detection on a miniaturized scale. The rapid growth in medical Internet of Things (IoT) and artificial intelligence paves a pathway for improvements in human theranostics.
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Affiliation(s)
- Ahmed H. Jalal
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Fahmida Alam
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Sohini Roychoudhury
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Yogeswaran Umasankar
- Biomolecular Sciences Institute, Florida International University, Miami, Florida 33199, United States
| | - Nezih Pala
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
| | - Shekhar Bhansali
- Department of Electrical and Computer Engineering, Florida International University, Miami, Florida 33174, United States
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26
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Ager C, Unterkofler K, Mochalski P, Teschl S, Teschl G, Mayhew CA, King J. Modeling-based determination of physiological parameters of systemic VOCs by breath gas analysis, part 2. J Breath Res 2018; 12:036011. [DOI: 10.1088/1752-7163/aab2b6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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27
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Colin P, Eleveld DJ, van den Berg JP, Vereecke HEM, Struys MMRF, Schelling G, Apfel CC, Hornuss C. Propofol Breath Monitoring as a Potential Tool to Improve the Prediction of Intraoperative Plasma Concentrations. Clin Pharmacokinet 2017; 55:849-859. [PMID: 26715214 DOI: 10.1007/s40262-015-0358-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Monitoring of drug concentrations in breathing gas is routinely being used to individualize drug dosing for the inhalation anesthetics. For intravenous anesthetics however, no decisive evidence in favor of breath concentration monitoring has been presented up until now. At the same time, questions remain with respect to the performance of currently used plasma pharmacokinetic models implemented in target-controlled infusion systems. In this study, we investigate whether breath monitoring of propofol could improve the predictive performance of currently applied, target-controlled infusion models. METHODS Based on data from a healthy volunteer study, we developed an addition to the current state-of-the-art pharmacokinetic model for propofol, to accommodate breath concentration measurements. The potential of using this pharmacokinetic (PK) model in a Bayesian forecasting setting was studied using a simulation study. Finally, by introducing bispectral index monitor (BIS) measurements and the accompanying BIS models into our PK model, we investigated the relationship between BIS and predicted breath concentrations. RESULTS AND DISCUSSION We show that the current state-of-the-art pharmacokinetic model is easily extended to reliably describe propofol kinetics in exhaled breath. Furthermore, we show that the predictive performance of the a priori model is improved by Bayesian adaptation based on the measured breath concentrations, thereby allowing further treatment individualization and a more stringent control on the targeted plasma concentrations during general anesthesia. Finally, we demonstrated concordance between currently advocated BIS models, relying on predicted effect-site concentrations, and our new approach in which BIS measurements are derived from predicted breath concentrations.
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Affiliation(s)
- Pieter Colin
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus 30 001, Groningen, 9700 RB, The Netherlands. .,Laboratory of Medical Biochemistry and Clinical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium.
| | - Douglas J Eleveld
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus 30 001, Groningen, 9700 RB, The Netherlands
| | - Johannes P van den Berg
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus 30 001, Groningen, 9700 RB, The Netherlands
| | - Hugo E M Vereecke
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus 30 001, Groningen, 9700 RB, The Netherlands
| | - Michel M R F Struys
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Postbus 30 001, Groningen, 9700 RB, The Netherlands.,Department of Anesthesia, Ghent University, Ghent, Belgium
| | - Gustav Schelling
- Department of Anaesthesiology, Klinikum der Universität München, Munich, Germany
| | - Christian C Apfel
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Cyrill Hornuss
- Department of Anaesthesiology, Klinikum der Universität München, Munich, Germany
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28
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Gaugg MT, Bruderer T, Nowak N, Eiffert L, Martinez-Lozano Sinues P, Kohler M, Zenobi R. Mass-Spectrometric Detection of Omega-Oxidation Products of Aliphatic Fatty Acids in Exhaled Breath. Anal Chem 2017; 89:10329-10334. [DOI: 10.1021/acs.analchem.7b02092] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Martin Thomas Gaugg
- Department
of Chemistry and Applied Biosciences, Federal Institute of Technology, Zurich, Switzerland
| | - Tobias Bruderer
- Department
of Chemistry and Applied Biosciences, Federal Institute of Technology, Zurich, Switzerland
- Division
of Respiratory Medicine, University Children’s Hospital Zurich and Children’s Research Center Zurich, Zurich, Switzerland
| | - Nora Nowak
- Department
of Chemistry and Applied Biosciences, Federal Institute of Technology, Zurich, Switzerland
| | - Lara Eiffert
- Department
of Chemistry and Applied Biosciences, Federal Institute of Technology, Zurich, Switzerland
| | | | - Malcolm Kohler
- Department
of Pulmonology, University Hospital Zurich, Zurich, Switzerland
- Center
for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
- Zurich
Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland
| | - Renato Zenobi
- Department
of Chemistry and Applied Biosciences, Federal Institute of Technology, Zurich, Switzerland
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29
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Bailly A, Weisskopf L. Mining the Volatilomes of Plant-Associated Microbiota for New Biocontrol Solutions. Front Microbiol 2017; 8:1638. [PMID: 28890716 PMCID: PMC5574903 DOI: 10.3389/fmicb.2017.01638] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 08/14/2017] [Indexed: 12/13/2022] Open
Abstract
Microbial lifeforms associated with land plants represent a rich source for crop growth- and health-promoting microorganisms and biocontrol agents. Volatile organic compounds (VOCs) produced by the plant microbiota have been demonstrated to elicit plant defenses and inhibit the growth and development of numerous plant pathogens. Therefore, these molecules are prospective alternatives to synthetic pesticides and the determination of their bioactivities against plant threats could contribute to the development of control strategies for sustainable agriculture. In our previous study we investigated the inhibitory impact of volatiles emitted by Pseudomonas species isolated from a potato field against the late blight-causing agent Phytophthora infestans. Besides the well-documented emission of hydrogen cyanide, other Pseudomonas VOCs impeded P. infestans mycelial growth and sporangia germination. Current advances in the field support the emerging concept that the microbial volatilome contains unexploited, eco-friendly chemical resources that could help select for efficient biocontrol strategies and lead to a greener chemical disease management in the field.
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Affiliation(s)
- Aurélien Bailly
- Department of Plant and Microbial Biology, University of ZurichZurich, Switzerland.,Agroscope, Institute for Sustainability SciencesZurich, Switzerland
| | - Laure Weisskopf
- Agroscope, Institute for Sustainability SciencesZurich, Switzerland.,Department of Biology, University of FribourgFribourg, Switzerland
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30
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Vogt JA, Wachter U, Radermacher P, Georgieff M, König D, Fabinski W, Barth E. Evaluation of ${}^{13}{\mathrm{CO}}_{2}$ enrichment values obtained with an oral breath test under conditions of impaired gastric functioning. J Breath Res 2017; 11:026008. [DOI: 10.1088/1752-7163/aa726d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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31
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Liu C, Zhang Y, Weschler CJ. Exposure to SVOCs from Inhaled Particles: Impact of Desorption. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2017; 51:6220-6228. [PMID: 28452220 DOI: 10.1021/acs.est.6b05864] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Inhaled semivolatile organic compounds (SVOCs) are simultaneously present in gas and particle phases. Particles desorb a fraction of their SVOCs moving through the human respiratory tract (RT). Quantifying such desorption is challenging but important since gas- and particle-phase SVOCs deposit in different locations in the RT, encountering different cell populations with varying health consequences. This paper presents a mass transfer model to quantify this desorption process in the head, tracheobronchial, and alveolar regions of the RT. The desorption of SVOCs from inhaled particles can be gauged using the ratio of particle residence time to the time required to achieve particle/gas equilibrium. Results indicate that the larger this ratio is, the more likely particles desorb the SVOCs they carry. For particles smaller than 0.5 μm diameter and SVOCs with a particle/gas partition coefficient (unitless) of 1010, accounting for desorption reduces the estimated particle-phase SVOC concentrations in the alveolar region by more than 35%; the reduction is almost 700% for 0.05 μm diameter particles. In hypothetical scenarios representing common indoor and outdoor situations, neglecting desorption significantly overestimates the concentration of ultrafine particle associated SVOCs in the alveolar region. This model is a preliminary step toward more nuanced estimates of exposure to inhaled SVOCs.
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Affiliation(s)
- Cong Liu
- School of Energy and Environment, Southeast University , Nanjing, Jiangsu 210096, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University , Beijing 100084, China
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control , Beijing 100084, China
| | - Charles J Weschler
- Department of Building Science, Tsinghua University , Beijing 100084, China
- Environmental and Occupational Health Sciences Institute, Rutgers University , Piscataway, New Jersey 08854, United States
- Beijing Key Laboratory of Indoor Air Quality Evaluation and Control , Beijing 100084, China
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32
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Doping-assisted low-pressure photoionization mass spectrometry for the real-time detection of lung cancer-related volatile organic compounds. Talanta 2016; 165:98-106. [PMID: 28153325 DOI: 10.1016/j.talanta.2016.12.039] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Revised: 12/16/2016] [Accepted: 12/18/2016] [Indexed: 01/15/2023]
Abstract
Real-time detection of lung cancer-related volatile organic compounds (VOCs) is a promising, non-intrusive technique for lung cancer (LC) prescreening. In this study, a novel method was designed to enhance the detection selectivity and sensitivity of LC-related polar VOCs by dichloromethane (CH2Cl2) doping-assisted low-pressure photoionization mass spectrometry (LPPI-MS). Compared with conventional LPPI-MS, CH2Cl2 doping-assisted LPPI-MS boosted the peak intensities of n-propanol, n-pentanal, acetone, and butyl acetate in nitrogen specifically by 53, 18, 16, and 43 times, respectively. The signal intensities of their daughter ions were inhibited or reduced. At relative humidity (RH) of 20%, the sensitivities of n-propanol, n-pentanal, acetone, and butyl acetate detection ranged from 116 to 452 counts/ppbv with a detection time of 10s and R2 >0.99 for the linear calibration curves. The method was also applicable under higher RH levels of 50% and 90%. Breath samples obtained from 10 volunteers and spiked samples were investigated. Eight-fold enhancements in the signal intensities of polar VOCs were observed in the normal and spiked samples. These preliminary results demonstrate the efficacy of the dichloromethane doping-assisted LPPI technique for the detection of LC-related polar VOCs. Further studies are indispensible to illustrating the detailed mechanism and applying the technique to breath diagnosis.
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33
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Das S, Pal S, Mitra M. Significance of Exhaled Breath Test in Clinical Diagnosis: A Special Focus on the Detection of Diabetes Mellitus. J Med Biol Eng 2016; 36:605-624. [PMID: 27853412 PMCID: PMC5083779 DOI: 10.1007/s40846-016-0164-6] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2016] [Accepted: 07/27/2016] [Indexed: 12/21/2022]
Abstract
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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Affiliation(s)
- Souvik Das
- Department of Biomedical Engineering, JIS College of Engineering, Kalyani, West Bengal 741235 India
| | - Saurabh Pal
- Department of Applied Physics, University of Calcutta, Kolkata, West Bengal 700009 India
| | - Madhuchhanda Mitra
- Department of Applied Physics, University of Calcutta, Kolkata, West Bengal 700009 India
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34
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García-Gómez D, Gaisl T, Bregy L, Cremonesi A, Sinues PML, Kohler M, Zenobi R. Real-Time Quantification of Amino Acids in the Exhalome by Secondary Electrospray Ionization–Mass Spectrometry: A Proof-of-Principle Study. Clin Chem 2016; 62:1230-7. [DOI: 10.1373/clinchem.2016.256909] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Accepted: 06/10/2016] [Indexed: 01/06/2023]
Abstract
Abstract
BACKGROUND
Amino acids are frequently determined in clinical chemistry. However, current analysis methods are time-consuming, invasive, and suffer from artifacts during sampling, sample handling, and sample preparation. We hypothesized in this proof-of-principle study that plasma concentrations of amino acids can be estimated by measuring their concentrations in exhaled breath. A novel breath analysis technique described here allows such measurements to be carried out in real-time and noninvasively, which should facilitate efficient diagnostics and give insights into human physiology.
METHODS
The amino acid profiles in 37 individuals were determined by ion-exchange HPLC in blood plasma and simultaneously in breath by secondary electrospray ionization coupled to high-resolution mass spectrometry. Participants were split into training and test sets to validate the analytical accuracy. Longitudinal profiles in 3 individuals were additionally obtained over a 12-h period.
RESULTS
Concentrations of 8 slightly volatile amino acids (A, V, I, G, P, K, F, Orn) could be determined in exhaled breath with a CV of <10%. Exhalome validation studies yielded high accuracies for each of these amino acids, on average only 3% less compared to plasma concentrations (95% CI ±13%). Higher variations were found only for amino acids with a low plasma concentration.
CONCLUSIONS
This study demonstrates for the first time that amino acids can be quantified in the human breath and that their concentrations correlate with plasma concentrations. Although this noninvasive technique needs further investigation, exhalome analysis may provide significant benefits over traditional, offline analytical methods.
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Affiliation(s)
- Diego García-Gómez
- Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology, Zurich, Switzerland
| | - Thomas Gaisl
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland
- Hospital Zollikerberg, Zollikerberg, Switzerland
| | - Lukas Bregy
- Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology, Zurich, Switzerland
| | - Alessio Cremonesi
- Division of Clinical Chemistry and Biochemistry, University Children's Hospital Zurich, Zurich, Switzerland
| | | | - Malcolm Kohler
- Department of Pulmonology, University Hospital Zurich, Zurich, Switzerland
- Centre for Integrative Human Physiology, University of Zurich, Zurich, Switzerland
| | - Renato Zenobi
- Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology, Zurich, Switzerland
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35
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FEV manoeuvre induced changes in breath VOC compositions: an unconventional view on lung function tests. Sci Rep 2016; 6:28029. [PMID: 27311826 PMCID: PMC4911606 DOI: 10.1038/srep28029] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 05/27/2016] [Indexed: 12/23/2022] Open
Abstract
Breath volatile organic compound (VOC) analysis can open a non-invasive window onto pathological and metabolic processes in the body. Decades of clinical breath-gas analysis have revealed that changes in exhaled VOC concentrations are important rather than disease specific biomarkers. As physiological parameters, such as respiratory rate or cardiac output, have profound effects on exhaled VOCs, here we investigated VOC exhalation under respiratory manoeuvres. Breath VOCs were monitored by means of real-time mass-spectrometry during conventional FEV manoeuvres in 50 healthy humans. Simultaneously, we measured respiratory and hemodynamic parameters noninvasively. Tidal volume and minute ventilation increased by 292 and 171% during the manoeuvre. FEV manoeuvre induced substance specific changes in VOC concentrations. pET-CO2 and alveolar isoprene increased by 6 and 21% during maximum exhalation. Then they decreased by 18 and 37% at forced expiration mirroring cardiac output. Acetone concentrations rose by 4.5% despite increasing minute ventilation. Blood-borne furan and dimethyl-sulphide mimicked isoprene profile. Exogenous acetonitrile, sulphides, and most aliphatic and aromatic VOCs changed minimally. Reliable breath tests must avoid forced breathing. As isoprene exhalations mirrored FEV performances, endogenous VOCs might assure quality of lung function tests. Analysis of exhaled VOC concentrations can provide additional information on physiology of respiration and gas exchange.
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36
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Hlastala MP, Anderson JC. Alcohol breath test: gas exchange issues. J Appl Physiol (1985) 2016; 121:367-75. [PMID: 27197859 DOI: 10.1152/japplphysiol.00548.2015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 05/16/2016] [Indexed: 11/22/2022] Open
Abstract
The alcohol breath test is reviewed with a focus on gas exchange factors affecting its accuracy. The basis of the alcohol breath test is the assumption that alveolar air reaches the mouth during exhalation with no change in alcohol concentration. Recent investigations have shown that alcohol concentration is altered during its transit to the mouth. The exhaled alcohol concentration is modified by interaction with the mucosa of the pulmonary airways. Exhaled alcohol concentration is not an accurate indicator of alveolar alcohol concentration. Measuring alcohol concentration in the breath is very different process than measuring a blood level from air equilibrated with a blood sample. Airway exchange of alcohol leads to a bias against certain individuals depending on the anatomic and physiologic characteristics. Methodological modifications are proposed to improve the accuracy of the alcohol breath test to become fair to all.
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Affiliation(s)
- Michael P Hlastala
- Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington; and
| | - Joseph C Anderson
- Department of Bioengineering, University of Washington, Seattle, Washington
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37
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Bigazzi AY, Figliozzi MA, Luo W, Pankow JF. Breath Biomarkers to Measure Uptake of Volatile Organic Compounds by Bicyclists. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2016; 50:5357-5363. [PMID: 27097118 DOI: 10.1021/acs.est.6b01159] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Breath biomarkers were used to study uptake of traffic-related volatile organic compounds (VOCs) from urban bicycling. Breath analysis was selected because it is one of the least invasive methods to assess urban traveler exposure. Research hurdles that were overcome included considering that factors other than on-road exposure can influence concentrations in the body, and absorbed doses during a trip can be small compared to baseline body burdens. Pre-trip, on-road, and post-trip breath concentrations and ambient air concentrations were determined for 26 VOCs for bicyclists traveling on different path types. Statistical analyses of the concentration data identified eight monoaromatic hydrocarbons potentially useful as breath biomarkers to compare differences in body levels brought about by urban travel choices. Breath concentrations of the biomarker compounds were significantly higher than background levels after riding on high-traffic arterial streets and on a path through a high-exposure industrial area, but not after riding on low-traffic local streets or on other off-street paths. Modeled effects of high-traffic streets on ambient concentrations were 100-200% larger than those of low-traffic streets; modeled effects of high-traffic streets on breath concentrations were 40-100% larger than those of low-traffic streets. Similar percentage increases in breath concentrations are expected for bicyclists in other cities.
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Affiliation(s)
- Alexander Y Bigazzi
- Department of Civil Engineering and ‡School of Community and Regional Planning, The University of British Columbia , Vancouver, British Columbia V6T 1Z4, Canada
- Department of Civil and Environmental Engineering and ∥Department of Chemistry, Portland State University , Portland, Oregon 97207, United States
| | - Miguel A Figliozzi
- Department of Civil Engineering and ‡School of Community and Regional Planning, The University of British Columbia , Vancouver, British Columbia V6T 1Z4, Canada
- Department of Civil and Environmental Engineering and ∥Department of Chemistry, Portland State University , Portland, Oregon 97207, United States
| | - Wentai Luo
- Department of Civil Engineering and ‡School of Community and Regional Planning, The University of British Columbia , Vancouver, British Columbia V6T 1Z4, Canada
- Department of Civil and Environmental Engineering and ∥Department of Chemistry, Portland State University , Portland, Oregon 97207, United States
| | - James F Pankow
- Department of Civil Engineering and ‡School of Community and Regional Planning, The University of British Columbia , Vancouver, British Columbia V6T 1Z4, Canada
- Department of Civil and Environmental Engineering and ∥Department of Chemistry, Portland State University , Portland, Oregon 97207, United States
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38
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Abstract
Breath testing has enormous potential in the medical diagnostic field. The underlying complexity and perceived availability of adequate specimens, combined with a lack of knowledge of the metabolic pathways that give rise to compounds that are sources of analytes detectable in breath, has greatly slowed development. These real obstacles have recently been largely overcome in the use of breath testing to identify patients with cystic fibrosis associated Pseudomonas aeruginosa infection and tuberculosis. This review summarizes progress made in the characterization of microbial volatiles produced by major lower respiratory tract bacterial pathogens, and their potential use as diagnostic markers in patient breath testing.
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Affiliation(s)
- James E Graham
- Department of Microbiology and Immunology, and Department of Biology, University of Louisville, Louisville, KY, USA; E-mail:
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39
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Szabó A, Unterkofler K, Mochalski P, Jandacka M, Ruzsanyi V, Szabó G, Mohácsi Á, Teschl S, Teschl G, King J. Modeling of breath methane concentration profiles during exercise on an ergometer. J Breath Res 2016; 10:017105. [PMID: 26828421 DOI: 10.1088/1752-7155/10/1/017105] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
We develop a simple three compartment model based on mass balance equations which quantitatively describes the dynamics of breath methane concentration profiles during exercise on an ergometer. With the help of this model it is possible to estimate the endogenous production rate of methane in the large intestine by measuring breath gas concentrations of methane.
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Affiliation(s)
- Anna Szabó
- MTA-SZTE Research Group on Photoacoustic Spectroscopy, Dóm tér 9, 6720 Szeged, Hungary. Breath Research Institute, University of Innsbruck, Rathausplatz 4, A-6850 Dornbirn, Austria
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40
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Kramer C, Mochalski P, Unterkofler K, Agapiou A, Ruzsanyi V, Liedl KR. Prediction of blood:air and fat:air partition coefficients of volatile organic compounds for the interpretation of data in breath gas analysis. J Breath Res 2016; 10:017103. [PMID: 26815030 PMCID: PMC4957668 DOI: 10.1088/1752-7155/10/1/017103] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
In this article, a database of blood:air and fat:air partition coefficients (λ b:a and λ f:a) is reported for estimating 1678 volatile organic compounds recently reported to appear in the volatilome of the healthy human. For this purpose, a quantitative structure-property relationship (QSPR) approach was applied and a novel method for Henry's law constants prediction developed. A random forest model based on Molecular Operating Environment 2D (MOE2D) descriptors based on 2619 literature-reported Henry's constant values was built. The calculated Henry's law constants correlate very well (R(2) test = 0.967) with the available experimental data. Blood:air and fat:air partition coefficients were calculated according to the method proposed by Poulin and Krishnan using the estimated Henry's constant values. The obtained values correlate reasonably well with the experimentally determined ones for a test set of 90 VOCs (R(2) = 0.95). The provided data aim to fill in the literature data gap and further assist the interpretation of results in studies of the human volatilome.
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Affiliation(s)
- Christian Kramer
- Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innrain 82, A-6020 Innsbruck, Austria. Present address: Fa. Hoffmann-La Roche Ltd, Pharma Research and Early Development, Therapeutic Modalities, Roche Innovation Center Basel, Grenzacherstrasse 124, CH-4070 Basel, Switzerland
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41
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Mochalski P, Unterkofler K. Quantification of selected volatile organic compounds in human urine by gas chromatography selective reagent ionization time of flight mass spectrometry (GC-SRI-TOF-MS) coupled with head-space solid-phase microextraction (HS-SPME). Analyst 2016; 141:4796-803. [DOI: 10.1039/c6an00825a] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Selective reagent ionization time of flight mass spectrometry with NO+as the reagent ion in conjunction with gas chromatography and head-space solid-phase microextraction was used to determine 16 volatiles in human urine.
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Affiliation(s)
- Paweł Mochalski
- Breath Research Institute of the University of Innsbruck
- A-6850 Dornbirn
- Austria
| | - Karl Unterkofler
- Breath Research Institute of the University of Innsbruck
- A-6850 Dornbirn
- Austria
- Vorarlberg University of Applied Sciences
- A-6850 Dornbirn
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García-Gómez D, Gaisl T, Bregy L, Martínez-Lozano Sinues P, Kohler M, Zenobi R. Secondary electrospray ionization coupled to high-resolution mass spectrometry reveals tryptophan pathway metabolites in exhaled human breath. Chem Commun (Camb) 2016; 52:8526-8. [DOI: 10.1039/c6cc03070j] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
A real-time non-invasive breath analysis technique (secondary ESI-HRMS) reveals the hitherto unknown occurrence of tryptophan pathway metabolites in breath.
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Affiliation(s)
| | - Thomas Gaisl
- Department of Pulmonology
- University Hospital Zurich
- 8091 Zurich
- Switzerland
| | - Lukas Bregy
- Department of Chemistry and Applied Biosciences
- 8093 Zurich
- Switzerland
| | | | - Malcolm Kohler
- Department of Pulmonology
- University Hospital Zurich
- 8091 Zurich
- Switzerland
| | - Renato Zenobi
- Department of Chemistry and Applied Biosciences
- 8093 Zurich
- Switzerland
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43
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Vishinkin R, Haick H. Nanoscale Sensor Technologies for Disease Detection via Volatolomics. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2015; 11:6142-64. [PMID: 26448487 DOI: 10.1002/smll.201501904] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 07/19/2015] [Indexed: 05/07/2023]
Abstract
The detection of many diseases is missed because of delayed diagnoses or the low efficacy of some treatments. This emphasizes the urgent need for inexpensive and minimally invasive technologies that would allow efficient early detection, stratifying the population for personalized therapy, and improving the efficacy of rapid bed-side assessment of treatment. An emerging approach that has a high potential to fulfill these needs is based on so-called "volatolomics", namely, chemical processes involving profiles of highly volatile organic compounds (VOCs) emitted from body fluids, including breath, skin, urine and blood. This article presents a didactic review of some of the main advances related to the use of nanomaterial-based solid-state and flexible sensors, and related artificially intelligent sensing arrays for the detection and monitoring of disease with volatolomics. The article attempts to review the technological gaps and confounding factors related to VOC testing. Different ways to choose nanomaterial-based sensors are discussed, while considering the profiles of targeted volatile markers and possible limitations of applying the sensing approach. Perspectives for taking volatolomics to a new level in the field of diagnostics are highlighted.
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Affiliation(s)
- Rotem Vishinkin
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
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44
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Sukul P, Trefz P, Kamysek S, Schubert JK, Miekisch W. Instant effects of changing body positions on compositions of exhaled breath. J Breath Res 2015; 9:047105. [PMID: 26582820 DOI: 10.1088/1752-7155/9/4/047105] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Concentrations of exhaled volatile organic compounds (VOCs) may depend not only on biochemical or pathologic processes but also on physiological parameters. As breath sampling may be done in different body positions, effects of the sampling position on exhaled VOC concentrations were investigated by means of real-time mass spectrometry. Breaths from 15 healthy volunteers were analyzed in real-time by PTR-ToF-MS-8000 during paced breathing (12/min) in a continuous side-stream mode. We applied two series of body positions (setup 1: sitting, standing, supine, and sitting; setup 2: supine, left lateral, right lateral, prone, and supine). Each position was held for 2 min. Breath VOCs were quantified in inspired and alveolar air by means of a custom-made algorithm. Parallel monitoring of hemodynamics and capnometry was performed noninvasively. In setup 1, when compared to the initial sitting position, normalized mean concentrations of isoprene, furan, and acetonitrile decreased by 24%, 26%, and 9%, respectively, during standing and increased by 63%, 36%, and 10% during lying mirroring time profiles of stroke volume and pET-CO2. In contrast, acetone and H2S concentrations remained almost constant. In setup 2, when compared to the initial supine position, mean alveolar concentrations of isoprene and furan increased significantly up to 29% and 16%, respectively, when position was changed from lying on the right side to the prone position. As cardiac output and stroke volume decreased at that time, the reasons for the observed concentrations changes have to be linked to the ventilation/perfusion ratio or compartmental distribution rather than to perfusion alone. During final postures, all VOC concentrations, hemodynamics, and pET-CO2 returned to baseline. Exhaled blood-borne VOC profiles changed due to body postures. Changes depended on cardiac stroke volume, origin, compartmental distribution and physico-chemical properties of the substances. Patients' positions and cardiac output have to be controlled when concentrations of breath VOCs are to be interpreted in terms of biomarkers.
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Affiliation(s)
- Pritam Sukul
- Department of Anesthesiology and Intensive Care Medicine, Rostock Medical Breath Research Analytics and Technologies (ROMBAT), University Medicine Rostock, Schillingallee 35, D-18057 Rostock, Germany
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45
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Broza YY, Mochalski P, Ruzsanyi V, Amann A, Haick H. Hybrid volatolomics and disease detection. Angew Chem Int Ed Engl 2015; 54:11036-48. [PMID: 26235374 DOI: 10.1002/anie.201500153] [Citation(s) in RCA: 158] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Indexed: 02/06/2023]
Abstract
This Review presents a concise, but not exhaustive, didactic overview of some of the main concepts and approaches related to "volatolomics"-an emerging frontier for fast, risk-free, and potentially inexpensive diagnostics. It attempts to review the source and characteristics of volatolomics through the so-called volatile organic compounds (VOCs) emanating from cells and their microenvironment. It also reviews the existence of VOCs in several bodily fluids, including the cellular environment, blood, breath, skin, feces, urine, and saliva. Finally, the usefulness of volatolomics for diagnosis from a single bodily fluid, as well as ways to improve these diagnostic aspects by "hybrid" approaches that combine VOC profiles collected from two or more bodily fluids, will be discussed. The perspectives of this approach in developing the field of diagnostics to a new level are highlighted.
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Affiliation(s)
- Yoav Y Broza
- The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003 (Israel)
| | - Pawel Mochalski
- Breath Research Institute and University-Clinic for Anesthesia, The University of Innsbruck and Innsbruck Medical University, Innsbruck (Austria)
| | - Vera Ruzsanyi
- Breath Research Institute and University-Clinic for Anesthesia, The University of Innsbruck and Innsbruck Medical University, Innsbruck (Austria)
| | - Anton Amann
- Breath Research Institute and University-Clinic for Anesthesia, The University of Innsbruck and Innsbruck Medical University, Innsbruck (Austria)
| | - Hossam Haick
- The Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003 (Israel).
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46
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Broza YY, Mochalski P, Ruzsanyi V, Amann A, Haick H. Hybride Volatolomik und der Nachweis von Krankheiten. Angew Chem Int Ed Engl 2015. [DOI: 10.1002/ange.201500153] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Unterkofler K, King J, Mochalski P, Jandacka M, Koc H, Teschl S, Amann A, Teschl G. Modeling-based determination of physiological parameters of systemic VOCs by breath gas analysis: a pilot study. J Breath Res 2015; 9:036002. [PMID: 25972041 DOI: 10.1088/1752-7155/9/3/036002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
In this paper we develop a simple two compartment model which extends the Farhi equation to the case when the inhaled concentration of a volatile organic compound (VOC) is not zero. The model connects the exhaled breath concentration of systemic VOCs with physiological parameters such as endogenous production rates and metabolic rates. Its validity is tested with data obtained for isoprene and inhaled deuterated isoprene-D5.
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Affiliation(s)
- Karl Unterkofler
- Breath Research Institute, University of Innsbruck, Rathausplatz 4, A-6850 Dornbirn, Austria. University of Applied Sciences Vorarlberg, Hochschulstr. 1, A-6850 Dornbirn, Austria
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48
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Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath. Metabolites 2015; 5:140-63. [PMID: 25738426 PMCID: PMC4381294 DOI: 10.3390/metabo5010140] [Citation(s) in RCA: 134] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2014] [Revised: 02/11/2015] [Accepted: 02/23/2015] [Indexed: 11/16/2022] Open
Abstract
Recent advancements in the use of electronic-nose (e-nose) devices to analyze human breath profiles for the presence of specific volatile metabolites, known as biomarkers or chemical bio-indicators of specific human diseases, metabolic disorders and the overall health status of individuals, are providing the potential for new noninvasive tools and techniques useful to point-of-care clinical disease diagnoses. This exciting new area of electronic disease detection and diagnosis promises to yield much faster and earlier detection of human diseases and disorders, allowing earlier, more effective treatments, resulting in more rapid patient recovery from various afflictions. E-nose devices are particularly suited for the field of disease diagnostics, because they are sensitive to a wide range of volatile organic compounds (VOCs) and can effectively distinguish between different complex gaseous mixtures via analysis of electronic aroma sensor-array output profiles of volatile metabolites present in the human breath. This review provides a summary of some recent developments of electronic-nose technologies, particularly involving breath analysis, with the potential for providing many new diagnostic applications for the detection of specific human diseases associated with different organs in the body, detectable from e-nose analyses of aberrant disease-associated VOCs present in air expired from the lungs.
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Barreto M, Zambardi R, Villa MP. Exhaled nitric oxide and other exhaled biomarkers in bronchial challenge with exercise in asthmatic children: current knowledge. Paediatr Respir Rev 2015; 16:68-74. [PMID: 24368252 DOI: 10.1016/j.prrv.2013.11.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2012] [Revised: 04/23/2013] [Accepted: 11/15/2013] [Indexed: 12/31/2022]
Abstract
The fractional concentration of exhaled nitric oxide (FENO), a known marker of atopic-eosinophilic inflammation, may be used as a surrogate to assess exercise-induced bronchoconstriction (EIB) in asthmatic children. The predictive value of baseline FENO for EIB appears to be influenced by several factors, including age, atopy, current therapy with corticosteroids and measurement technique. Nonetheless, FENO cut-off values appear to be able to rule out EIB. FENO levels decrease during EIB, apparently through neural mechanisms rather than by decreased airway-epithelial surface. Partition of FENO into proximal and peripheral contributions of the respiratory tract may improve our understanding on NO exchange during exercise and help to screen subjects prone to EIB. Other biomarkers of inflammation and oxidative stress contained in exhaled gases and exhaled breath condensate (EBC) may shed light on the pathophysiology of EIB. Exhaled breath temperature is a promising real-time measurement whose routine use for assessing EIB warrants further investigation.
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Affiliation(s)
- Mario Barreto
- Pediatric Unit, Sant'Andrea Hospital, NESMOS Department, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
| | - Rosanna Zambardi
- Pediatric Unit, Sant'Andrea Hospital, NESMOS Department, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Maria Pia Villa
- Pediatric Unit, Sant'Andrea Hospital, NESMOS Department, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
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Ruzsanyi V, Lederer W, Seger C, Calenic B, Liedl KR, Amann A. Non-(13)CO2 targeted breath tests: a feasibility study. J Breath Res 2014; 8:046005. [PMID: 25358411 DOI: 10.1088/1752-7155/8/4/046005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Breath tests allow a non-invasive and fast diagnostic of different specific enzymes' phenotypic functionality. Over the last decade several 13C-breath tests were successfully tested, with the (13)C-urea breath test being approved by the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA). The use of other targets than labeled (13)CO2 in exhaled breath offers additional possibilities. High sensitivity analytical technologies, such as proton-transfer reaction time-of-flight mass spectrometry, enable the detection of different volatile targets in the low ppb (parts per billion) range in real-time.In the current study volunteers received 0.8 mg deuterated 2-propanol, which was converted to d3-acetone (m/z 62.08) by alcohol dehydrogenase. D3-acetone (m/z 62.08) appeared in exhaled breath concentrations up to 30 ppb (at maximum). Parallel consumption of ethanol seems to reduce the activity of the enzyme, resulting in approximately 15-30% reduction of the produced d3-acetone. Phenotypic determination of enzyme activities is important, since the functionality of enzymes is influenced by factors such as age, sex, life-style, diet, organ function, metabolism, etc, which cannot be entirely accounted for by genetic factors.
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Affiliation(s)
- Veronika Ruzsanyi
- Department of Anesthesiology and Critical Care Medicine, Innsbruck Medical University, Anichstr 35, A-6020 Innsbruck, Austria. Breath Research Institute of the University of Innsbruck, Rathausplatz 4, A-6850 Dornbirn, Austria
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