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Wüthrich C, Giannoukos S, Zenobi R. Elucidating the Role of Ion Suppression in Secondary Electrospray Ionization. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:2498-2507. [PMID: 37843816 PMCID: PMC10623576 DOI: 10.1021/jasms.3c00219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/11/2023] [Accepted: 09/29/2023] [Indexed: 10/17/2023]
Abstract
Ion suppression is a known matrix effect in electrospray ionization (ESI), ambient pressure chemical ionization (APCI), and desorption electrospray ionization (DESI), but its characterization in secondary electrospray ionization (SESI) is lacking. A thorough understanding of this effect is crucial for quantitative applications of SESI, such as breath analysis. In this study, gas standards were generated by using an evaporation-based system to assess the susceptibility and suppression potential of acetone, deuterated acetone, deuterated acetic acid, and pyridine. Gas-phase effects were found to dominate ion suppression, with pyridine exhibiting the most significant suppressive effect, which is potentially linked to its gas-phase basicity. The impact of increased acetone levels on the volatiles from exhaled breath condensate was also examined. In humid conditions, a noticeable decrease in intensity of approximately 30% was observed for several features at an acetone concentration of 1 ppm. Considering that this concentration is expected for breath analysis, it becomes crucial to account for this effect when SESI is utilized to quantitatively determine specific compounds.
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Affiliation(s)
- Cedric Wüthrich
- Department
of Chemistry and Applied Biosciences, ETH
Zürich, 8093 Zürich, Switzerland
| | - Stamatios Giannoukos
- Department
of Chemistry and Applied Biosciences, ETH
Zürich, 8093 Zürich, Switzerland
| | - Renato Zenobi
- Department
of Chemistry and Applied Biosciences, ETH
Zürich, 8093 Zürich, Switzerland
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Zhang X, Frankevich V, Ding J, Ma Y, Chingin K, Chen H. Direct mass spectrometry analysis of exhaled human breath in real-time. MASS SPECTROMETRY REVIEWS 2023. [PMID: 37565588 DOI: 10.1002/mas.21855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 05/02/2022] [Accepted: 10/01/2022] [Indexed: 08/12/2023]
Abstract
The molecular composition of exhaled human breath can reflect various physiological and pathological conditions. Considerable progress has been achieved over the past decade in real-time analysis of exhaled human breath using direct mass spectrometry methods, including selected ion flow tube mass spectrometry, proton transfer reaction mass spectrometry, extractive electrospray ionization mass spectrometry, secondary electrospray ionization mass spectrometry, acetone-assisted negative photoionization mass spectrometry, atmospheric pressure photoionization mass spectrometry, and low-pressure photoionization mass spectrometry. Here, recent developments in direct mass spectrometry analysis of exhaled human breath are reviewed with regard to analytical performance (chemical sensitivity, selectivity, quantitative capabilities) and applications of the developed methods in disease diagnosis, targeted molecular detection, and real-time metabolic monitoring.
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Affiliation(s)
- Xiaoping Zhang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, People's Republic of China
| | - Vladimir Frankevich
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russian Federation
| | - Jianhua Ding
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, People's Republic of China
| | - Yuanyuan Ma
- Department of GCP, Shanghai Public Health Clinical Center, Shanghai, China
| | - Konstantin Chingin
- School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, People's Republic of China
| | - Huanwen Chen
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, People's Republic of China
- School of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, People's Republic of China
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Xu W, Zou X, Ding H, Ding Y, Zhang J, Liu W, Gong T, Nie Z, Yang M, Zhou Q, Liu Z, Ge D, Zhang Q, Huang C, Shen C, Chu Y. Rapid and non-invasive diagnosis of type 2 diabetes through sniffing urinary acetone by a proton transfer reaction mass spectrometry. Talanta 2023; 256:124265. [PMID: 36669369 DOI: 10.1016/j.talanta.2023.124265] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 01/12/2023]
Abstract
Urinary acetone in urine is produced from fat metabolism in human body, which can be accelerated in diabetic patients because of insufficient utilization and storage of glucose. In this study, we tried to develop a novel diagnosis method of type 2 diabetes (T2D) through sniffing urinary acetone by a proton transfer reaction mass spectrometry (PTR-MS). A total of 180 T2D patients and 180 healthy volunteers were recruited from three hospitals for multicenter study. Urine samples were collected in the morning when donators were fasting and stored in glass bottles. Acetone in the headspace of these bottles was qualitatively and quantitatively detected by the PTR-MS in 8 h. Using a threshold of 690.1 ppbv, a diagnostic model was established using urinary acetone with an accuracy of 81.3% (sensitivity: 73.3%, specificity: 89.3%) in hospital Ⅰ. In the verification studies, the accuracies were 92.5% (sensitivity: 88.7%, specificity: 96.2%) in hospital Ⅱ and 83.7% (sensitivity: 76.9%, specificity: 90.4%) in hospital Ⅲ, respectively. The accuracy is comparable to that of clinically used diagnosis methods, fasting plasma glucose (FPG), oral glucose tolerance test (OGTT), and glycosylated hemoglobin A1c (HbA1c) test. The sensitivity for 35 newly diagnosed patients was 85.7%. The newly developed technology is completely non-invasive and much more rapid than clinical FPG, OGTT, and HbA1c tests. It has a promising prospect in clinical use. But the applicability in different human races still need more validations.
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Affiliation(s)
- Wei Xu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China; University of Science and Technology of China, 230026, Hefei, China
| | - Xue Zou
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China.
| | - Houwen Ding
- The Second Hospital of Anhui Medical University, 230601, Hefei, China
| | - Yueting Ding
- The Second Hospital of Anhui Medical University, 230601, Hefei, China
| | - Jin Zhang
- The Second Hospital of Anhui Medical University, 230601, Hefei, China
| | - Wenting Liu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China; University of Science and Technology of China, 230026, Hefei, China
| | - Tingting Gong
- The First Affiliated Hospital of Anhui Medical University, 230088, Hefei, China
| | - Zhengchao Nie
- Anhui Provincial Hospital/The First Affiliated Hospital of USTC, 230001, Hefei, China
| | - Min Yang
- The Second Hospital of Anhui Medical University, 230601, Hefei, China.
| | - Qiang Zhou
- The Second Hospital of Anhui Medical University, 230601, Hefei, China
| | - Zhou Liu
- The Second Hospital of Anhui Medical University, 230601, Hefei, China
| | - Dianlong Ge
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China
| | - Qiangling Zhang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China
| | - Chaoqun Huang
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China
| | - Chengyin Shen
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China; Hefei Cancer Hospital, Chinese Academy of Sciences, 230031, Hefei, China.
| | - Yannan Chu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China
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4
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Mass spectrometry for breath analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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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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Bell L, Wallen M, Talpey S, Myers M, O'Brien B. Can exhaled volatile organic compounds differentiate high and low responders to resistance exercise? Med Hypotheses 2022. [DOI: 10.1016/j.mehy.2022.110837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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7
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Henderson B, Lopes Batista G, Bertinetto CG, Meurs J, Materić D, Bongers CCWG, Allard NAE, Eijsvogels TMH, Holzinger R, Harren FJM, Jansen JJ, Hopman MTE, Cristescu SM. Exhaled Breath Reflects Prolonged Exercise and Statin Use during a Field Campaign. Metabolites 2021; 11:metabo11040192. [PMID: 33805108 PMCID: PMC8064097 DOI: 10.3390/metabo11040192] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 03/16/2021] [Accepted: 03/19/2021] [Indexed: 12/30/2022] Open
Abstract
Volatile organic compounds (VOCs) in exhaled breath provide insights into various metabolic processes and can be used to monitor physiological response to exercise and medication. We integrated and validated in situ a sampling and analysis protocol using proton transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS) for exhaled breath research. The approach was demonstrated on a participant cohort comprising users of the cholesterol-lowering drug statins and non-statin users during a field campaign of three days of prolonged and repeated exercise, with no restrictions on food or drink consumption. The effect of prolonged exercise was reflected in the exhaled breath of participants, and relevant VOCs were identified. Most of the VOCs, such as acetone, showed an increase in concentration after the first day of walking and subsequent decrease towards baseline levels prior to walking on the second day. A cluster of short-chain fatty acids including acetic acid, butanoic acid, and propionic acid were identified in exhaled breath as potential indicators of gut microbiota activity relating to exercise and drug use. We have provided novel information regarding the use of breathomics for non-invasive monitoring of changes in human metabolism and especially for the gut microbiome activity in relation to exercise and the use of medication, such as statins.
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Affiliation(s)
- Ben Henderson
- Department of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (B.H.); (G.L.B.); (J.M.); (D.M.); (F.J.M.H.)
| | - Guilherme Lopes Batista
- Department of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (B.H.); (G.L.B.); (J.M.); (D.M.); (F.J.M.H.)
| | - Carlo G. Bertinetto
- Department of Analytical Chemistry and Chemometrics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (C.G.B.); (J.J.J.)
| | - Joris Meurs
- Department of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (B.H.); (G.L.B.); (J.M.); (D.M.); (F.J.M.H.)
| | - Dušan Materić
- Department of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (B.H.); (G.L.B.); (J.M.); (D.M.); (F.J.M.H.)
- Institute for Marine and Atmospheric Research, Utrecht University, 3584 CC Utrecht, The Netherlands;
| | - Coen C. W. G. Bongers
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, 6525 XZ Nijmegen, The Netherlands; (C.C.W.G.B.); (N.A.E.A.); (T.M.H.E.); (M.T.E.H.)
| | - Neeltje A. E. Allard
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, 6525 XZ Nijmegen, The Netherlands; (C.C.W.G.B.); (N.A.E.A.); (T.M.H.E.); (M.T.E.H.)
| | - Thijs M. H. Eijsvogels
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, 6525 XZ Nijmegen, The Netherlands; (C.C.W.G.B.); (N.A.E.A.); (T.M.H.E.); (M.T.E.H.)
| | - Rupert Holzinger
- Institute for Marine and Atmospheric Research, Utrecht University, 3584 CC Utrecht, The Netherlands;
| | - Frans J. M. Harren
- Department of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (B.H.); (G.L.B.); (J.M.); (D.M.); (F.J.M.H.)
| | - Jeroen J. Jansen
- Department of Analytical Chemistry and Chemometrics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (C.G.B.); (J.J.J.)
| | - Maria T. E. Hopman
- Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, 6525 XZ Nijmegen, The Netherlands; (C.C.W.G.B.); (N.A.E.A.); (T.M.H.E.); (M.T.E.H.)
| | - Simona M. Cristescu
- Department of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, 6525 XZ Nijmegen, The Netherlands; (B.H.); (G.L.B.); (J.M.); (D.M.); (F.J.M.H.)
- Correspondence:
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Volatile Organic Compounds in Exhaled Breath as Fingerprints of Lung Cancer, Asthma and COPD. J Clin Med 2020; 10:jcm10010032. [PMID: 33374433 PMCID: PMC7796324 DOI: 10.3390/jcm10010032] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 12/14/2020] [Accepted: 12/22/2020] [Indexed: 12/11/2022] Open
Abstract
Lung cancer, chronic obstructive pulmonary disease (COPD) and asthma are inflammatory diseases that have risen worldwide, posing a major public health issue, encompassing not only physical and psychological morbidity and mortality, but also incurring significant societal costs. The leading cause of death worldwide by cancer is that of the lung, which, in large part, is a result of the disease often not being detected until a late stage. Although COPD and asthma are conditions with considerably lower mortality, they are extremely distressful to people and involve high healthcare overheads. Moreover, for these diseases, diagnostic methods are not only costly but are also invasive, thereby adding to people’s stress. It has been appreciated for many decades that the analysis of trace volatile organic compounds (VOCs) in exhaled breath could potentially provide cheaper, rapid, and non-invasive screening procedures to diagnose and monitor the above diseases of the lung. However, after decades of research associated with breath biomarker discovery, no breath VOC tests are clinically available. Reasons for this include the little consensus as to which breath volatiles (or pattern of volatiles) can be used to discriminate people with lung diseases, and our limited understanding of the biological origin of the identified VOCs. Lung disease diagnosis using breath VOCs is challenging. Nevertheless, the numerous studies of breath volatiles and lung disease provide guidance as to what volatiles need further investigation for use in differential diagnosis, highlight the urgent need for non-invasive clinical breath tests, illustrate the way forward for future studies, and provide significant guidance to achieve the goal of developing non-invasive diagnostic tests for lung disease. This review provides an overview of these issues from evaluating key studies that have been undertaken in the years 2010–2019, in order to present objective and comprehensive updated information that presents the progress that has been made in this field. The potential of this approach is highlighted, while strengths, weaknesses, opportunities, and threats are discussed. This review will be of interest to chemists, biologists, medical doctors and researchers involved in the development of analytical instruments for breath diagnosis.
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