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Moura PC, Raposo M, Vassilenko V. Breath biomarkers in Non-Carcinogenic diseases. Clin Chim Acta 2024; 552:117692. [PMID: 38065379 DOI: 10.1016/j.cca.2023.117692] [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: 11/10/2023] [Revised: 12/02/2023] [Accepted: 12/03/2023] [Indexed: 12/19/2023]
Abstract
The analysis of volatile organic compounds (VOCs) from human matrices like breath, perspiration, and urine has received increasing attention from academic and medical researchers worldwide. These biological-borne VOCs molecules have characteristics that can be directly related to physiologic and pathophysiologic metabolic processes. In this work, gathers a total of 292 analytes that have been identified as potential biomarkers for the diagnosis of various non-carcinogenic diseases. Herein we review the advances in VOCs with a focus on breath biomarkers and their potential role as minimally invasive tools to improve diagnosis prognosis and therapeutic monitoring.
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Affiliation(s)
- Pedro Catalão Moura
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516, Caparica, Portugal.
| | - Maria Raposo
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516, Caparica, Portugal.
| | - Valentina Vassilenko
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516, Caparica, Portugal.
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2
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Ruszkiewicz DM, Myers R, Henderson B, Dato-Haji-Md-Yusof H, Meister A, Moreno S, Eddleston M, Darnley K, Nailon W, McLaren D, Lao YE, Hovda KE, Lam S, Cristescu SM, Thomas CLP. Peppermint protocol: first results for gas chromatography-ion mobility spectrometry. J Breath Res 2022; 16. [PMID: 35508103 DOI: 10.1088/1752-7163/ac6ca0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/04/2022] [Indexed: 11/11/2022]
Abstract
The Peppermint Initiative seeks to inform the standardisation of breath analysis methods. Five Peppermint Experiments with gas chromatography-ion mobility spectrometry (GC-IMS), operating in the positive mode with a tritium 3H 5.68 keV, 370 MBq ionisation source, were undertaken to provide benchmark Peppermint Washout data for this technique, to support its use in breath-testing, analysis, and research. Headspace analysis of a peppermint-oil capsule by GC-IMS with on-column injection (0.5 cm3) identified 12 IMS responsive compounds, of which the four most abundant were: eucalyptol; β-pinene; α-pinene; and limonene. Elevated concentrations of these four compounds were identified in exhaled-breath following ingestion of a peppermint-oil capsule. An unidentified compound attributed as a volatile catabolite of peppermint-oil was also observed. The most intense exhaled peppermint-oil component was eucalyptol, which was selected as a peppermint marker for benchmarking GC-IMS. Twenty-five washout experiments monitored levels of exhaled eucalyptol, by GC-IMS with on-column injection (0.5 cm3), at t=0 min, and then at t+60, t+90, t+165, t+285 and t+360 min from ingestion of a peppermint capsule resulting in 148 peppermint breath analyses. Additionally, the Peppermint Washout data was used to evaluate clinical deployments with a further five washout tests run in clinical settings generating an additional 35 breath samples. Regression analysis yielded an average extrapolated time taken for exhaled eucalyptol levels to return to baseline values to be 429 ± 62 min (± 95% confidence-interval). The benchmark value was assigned to the lower 95 % confidence-interval, 367 min. Further evaluation of the data indicated that the maximum number of volatile organic compounds (VOC) discernible from a 0.5 cm3 breath sample was 69, while the use of an in-line biofilter appeared to reduce this to 34.
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Affiliation(s)
- Dorota M Ruszkiewicz
- Department of Chemistry, , Loughborough University School of Science, Centre for Analytical Science, Loughborough, Leicestershire, LE11 3TU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Renelle Myers
- British Columbia Cancer Research Centre, University of British Columbia, Vancouver, British Columbia, V5Z 1L3, CANADA
| | - Ben Henderson
- Department of Analytical Chemistry and Chemometrics, Radboud Universiteit, Institute of Molecules and Materials, Nijmegen, 6500 HC, NETHERLANDS
| | - Hazim Dato-Haji-Md-Yusof
- Department of Chemistry, , Loughborough University School of Science, Centre for Analytical Science, Loughborough, Leicestershire, LE11 3TU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Austin Meister
- British Columbia Cancer Research Centre, University of British Columbia, Vancouver, British Columbia, V5Z 1L3, CANADA
| | - Sergi Moreno
- National Physical Laboratory, Hampton Road, Teddington, TW11 0LW, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Michael Eddleston
- Pharmacology, Toxicology and Therapeutics Unit, University of Edinburgh Division of Clinical and Surgical Sciences, Centre for Cardiovascular Science, Edinburgh, Scotland, EH16 4TJ, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Kareen Darnley
- Royal Infirmary of Edinburgh, Wellcome Trust Clinical Research Facility, Edinburgh, Edinburgh, EH16 4SA, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - William Nailon
- Edinburgh Cancer Research Centre, Western General Hospital, Edinburgh, Scotland, EH4 2XU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Duncan McLaren
- Edinburgh Cancer Research Centre, Western General Hospital, Edinburgh, Scotland, EH4 2XU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Yvonne Elisabeth Lao
- Oslo University Hospital, Norwegian National Unit for CBRNE Medicine, Oslo, 20 0372, NORWAY
| | - Knut Erik Hovda
- Oslo University Hospital, Norwegian National Unit for CBRNE Medicine, Oslo, 20 0372, NORWAY
| | - Stephen Lam
- British Columbia Cancer Research Centre, University of British Columbia, Vancouver, British Columbia, V5Z 1L3, CANADA
| | - Simona M Cristescu
- Department of Analytical Chemistry and Chemometrics, Radboud Universiteit, Institute of Molecules and Materials, Nijmegen, Gelderland, 6500 HC, NETHERLANDS
| | - C L Paul Thomas
- Department of Chemistry, Loughborough University School of Science, Centre for Analytical Science, Loughborough, Leicestershire, LE11 3TU, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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Ghosh C, Singh V, Grandy J, Pawliszyn J. Recent advances in breath analysis to track human health by new enrichment technologies. J Sep Sci 2019; 43:226-240. [PMID: 31826324 DOI: 10.1002/jssc.201900769] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 10/31/2019] [Accepted: 11/26/2019] [Indexed: 12/15/2022]
Abstract
Detection of biomarkers in exhaled breath has been gaining increasing attention as a tool for diagnosis of specific diseases. However, rapid and accurate quantification of biomarkers associated with specific diseases requires the use of analytical methods capable of fast sampling and preconcentration from breath matrix. In this regard, solid phase microextraction and needle trap technology are becoming increasingly popular in the field of breath analysis due to the unique benefits imparted by such methods, such as the integration of sampling, extraction, and preconcentration in a single step. This review discusses recent advances in breath analysis using these sample preparation techniques, providing a summary of recent developments of analytical methods based on breath volatile organic compounds analysis, including the successful identification of various biomarkers related to human diseases.
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Affiliation(s)
- Chiranjit Ghosh
- Department of Chemistry, 200 University Avenue West, University of Waterloo, Ontario, Canada
| | - Varoon Singh
- Department of Chemistry, 200 University Avenue West, University of Waterloo, Ontario, Canada
| | - Jonathan Grandy
- Department of Chemistry, 200 University Avenue West, University of Waterloo, Ontario, Canada
| | - Janusz Pawliszyn
- Department of Chemistry, 200 University Avenue West, University of Waterloo, Ontario, Canada
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Ibrahim W, Wilde M, Cordell R, Salman D, Ruszkiewicz D, Bryant L, Richardson M, Free RC, Zhao B, Yousuf A, White C, Russell R, Jones S, Patel B, Awal A, Phillips R, Fowkes G, McNally T, Foxon C, Bhatt H, Peltrini R, Singapuri A, Hargadon B, Suzuki T, Ng LL, Gaillard E, Beardsmore C, Ryanna K, Pandya H, Coates T, Monks PS, Greening N, Brightling CE, Thomas P, Siddiqui S. Assessment of breath volatile organic compounds in acute cardiorespiratory breathlessness: a protocol describing a prospective real-world observational study. BMJ Open 2019; 9:e025486. [PMID: 30852546 PMCID: PMC6429860 DOI: 10.1136/bmjopen-2018-025486] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Revised: 11/23/2018] [Accepted: 01/08/2019] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Patients presenting with acute undifferentiated breathlessness are commonly encountered in admissions units across the UK. Existing blood biomarkers have clinical utility in distinguishing patients with single organ pathologies but have poor discriminatory power in multifactorial presentations. Evaluation of volatile organic compounds (VOCs) in exhaled breath offers the potential to develop biomarkers of disease states that underpin acute cardiorespiratory breathlessness, owing to their proximity to the cardiorespiratory system. To date, there has been no systematic evaluation of VOC in acute cardiorespiratory breathlessness. The proposed study will seek to use both offline and online VOC technologies to evaluate the predictive value of VOC in identifying common conditions that present with acute cardiorespiratory breathlessness. METHODS AND ANALYSIS A prospective real-world observational study carried out across three acute admissions units within Leicestershire. Participants with self-reported acute breathlessness, with a confirmed primary diagnosis of either acute heart failure, community-acquired pneumonia and acute exacerbation of asthma or chronic obstructive pulmonary disease will be recruited within 24 hours of admission. Additionally, school-age children admitted with severe asthma will be evaluated. All participants will undergo breath sampling on admission and on recovery following discharge. A range of online technologies including: proton transfer reaction mass spectrometry, gas chromatography ion mobility spectrometry, atmospheric pressure chemical ionisation-mass spectrometry and offline technologies including gas chromatography mass spectroscopy and comprehensive two-dimensional gas chromatography-mass spectrometry will be used for VOC discovery and replication. For offline technologies, a standardised CE-marked breath sampling device (ReCIVA) will be used. All recruited participants will be characterised using existing blood biomarkers including C reactive protein, brain-derived natriuretic peptide, troponin-I and blood eosinophil levels and further evaluated using a range of standardised questionnaires, lung function testing, sputum cell counts and other diagnostic tests pertinent to acute disease. ETHICS AND DISSEMINATION The National Research Ethics Service Committee East Midlands has approved the study protocol (REC number: 16/LO/1747). Integrated Research Approval System (IRAS) 198921. Findings will be presented at academic conferences and published in peer-reviewed scientific journals. Dissemination will be facilitated via a partnership with the East Midlands Academic Health Sciences Network and via interaction with all UK-funded Medical Research Council and Engineering and Physical Sciences Research Council molecular pathology nodes. TRIAL REGISTRATION NUMBER NCT03672994.
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Affiliation(s)
- Wadah Ibrahim
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Michael Wilde
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Rebecca Cordell
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Dahlia Salman
- Department of Chemistry, Loughborough University, Loughborough, UK
| | | | - Luke Bryant
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Matthew Richardson
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Robert C Free
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Bo Zhao
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Ahmed Yousuf
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Christobelle White
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Richard Russell
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Sheila Jones
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Bharti Patel
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Asia Awal
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | | | - Graham Fowkes
- NIHR Leicester Clinical Research Facility, Leicester, UK
| | | | - Clare Foxon
- Paediatric Clinical Investigation Centre, Leicester, UK
| | - Hetan Bhatt
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Rosa Peltrini
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Amisha Singapuri
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Beverley Hargadon
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Toru Suzuki
- Department of Cardiovascular Sciences, Cardiovascular Research Centre, University of Leicester, Leicester, UK
- Leicester NIHR Biomedical Research Centre (Cardiovascular Theme), Leicester, UK
| | - Leong L Ng
- Department of Cardiovascular Sciences, Cardiovascular Research Centre, University of Leicester, Leicester, UK
- Leicester NIHR Biomedical Research Centre (Cardiovascular Theme), Leicester, UK
| | - Erol Gaillard
- Paediatric Clinical Investigation Centre, Leicester, UK
| | | | - Kimuli Ryanna
- University Hospitals of Leicester NHS Trust, Leicester, UK
| | - Hitesh Pandya
- Discovery Medicine, Respiratory Therapeutic Area, GlaxoSmithKline PLC, Stevenage, UK
| | - Tim Coates
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Paul S Monks
- Department of Chemistry, University of Leicester, Leicester, UK
| | - Neil Greening
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Christopher E Brightling
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
| | - Paul Thomas
- Department of Chemistry, Loughborough University, Loughborough, UK
| | - Salman Siddiqui
- Department of Respiratory Sciences, College of Life Sciences, University of Leicester, Leicester, UK
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Romero KI, Fernandez-Maestre R. Ion mobility spectrometry: the diagnostic tool of third millennium medicine. Rev Assoc Med Bras (1992) 2019; 64:861-868. [PMID: 30673009 DOI: 10.1590/1806-9282.64.09.861] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 01/13/2018] [Indexed: 11/22/2022] Open
Abstract
Ion mobility spectrometry (IMS) is a fast, low cost, portable, and sensitive technique that separates ions in a drift tube under the influence of an electric field according to their size and shape. IMS represents a non-invasive and reliable instrumental alternative for the diagnosis of different diseases through the analysis of volatile metabolites in biological samples. IMS has applications in medicine in the study of volatile compounds for the non-invasive diagnose of bronchial carcinoma, chronic obstructive pulmonary disease, and other diseases analysing breath, urine, blood, faeces, and other biological samples. This technique has been used to study complex mixtures such as proteomes, metabolomes, complete organisms like bacteria and viruses, monitor anaesthetic agents, determine drugs, pharmaceuticals, and volatile compounds in human body fluids, and others. Pharmaceutical applications include analysis of over-the-counter-drugs, quality assessment, and cleaning verification. Medical practice needs non-invasive, robust, secure, fast, real-time, and low-cost methods with high sensitivity and compact size instruments to diagnose different diseases and IMS is the diagnostic tool that meets all these requirements of the Medicine of the future.
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Affiliation(s)
- Katiuska I Romero
- . Medical Subdirector, Organización Clínica Bonnadona Prevenir, Barranquilla, Atlantico, Colombia
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Chouinard CD, Nagy G, Smith RD, Baker ES. Ion Mobility-Mass Spectrometry in Metabolomic, Lipidomic, and Proteomic Analyses. ADVANCES IN ION MOBILITY-MASS SPECTROMETRY: FUNDAMENTALS, INSTRUMENTATION AND APPLICATIONS 2019. [DOI: 10.1016/bs.coac.2018.11.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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7
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Ganeev AA, Gubal AR, Lukyanov GN, Arseniev AI, Barchuk AA, Jahatspanian IE, Gorbunov IS, Rassadina AA, Nemets VM, Nefedov AO, Korotetsky BA, Solovyev ND, Iakovleva E, Ivanenko NB, Kononov AS, Sillanpaa M, Seeger T. Analysis of exhaled air for early-stage diagnosis of lung cancer: opportunities and challenges. RUSSIAN CHEMICAL REVIEWS 2018. [DOI: 10.1070/rcr4831] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Lee J, Lim SH. CNT Foam-Embedded Micro Gas Preconcentrator for Low-Concentration Ethane Measurements. SENSORS 2018; 18:s18051547. [PMID: 29757966 PMCID: PMC5981372 DOI: 10.3390/s18051547] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 05/05/2018] [Accepted: 05/09/2018] [Indexed: 12/31/2022]
Abstract
Breath analysis has become increasingly important as a noninvasive process for the clinical diagnosis of patients suffering from various diseases. Many commercial gas preconcentration instruments are already being used to overcome the detection limits of commercial gas sensors for gas concentrations which are as low as ~100 ppb in exhaled breath. However, commercial instruments are large and expensive, and they require high power consumption and intensive maintenance. In the proposed study, a micro gas preconcentrator (μ-PC) filled with a carbon nanotube (CNT) foam as an adsorbing material was designed and fabricated for the detection of low-concentration ethane, which is known to be one of the most important biomarkers related to chronic obstructive pulmonary disease (COPD) and asthma. A comparison of the performance of two gas-adsorbing materials, i.e., the proposed CNT foam and commercial adsorbing material, was performed using the developed μ-PC. The experimental results showed that the synthesized CNT foam performs better than a commercial adsorbing material owing to its lower pressure drop and greater preconcentration efficiency in the μ-PC. The present results show that the application of CNT foam-embedded μ-PC in portable breath analysis systems holds great promise.
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Affiliation(s)
- Janghyeon Lee
- Department of Mechanics and Design, Kookmin University, Seoul 136-702, Korea.
| | - Si-Hyung Lim
- School of Mechanical Engineering, Kookmin University, Seoul 136-702, Korea.
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Costanzo MT, Boock JJ, Kemperman RHJ, Wei MS, Beekman CR, Yost RA. Portable FAIMS: Applications and Future Perspectives. INTERNATIONAL JOURNAL OF MASS SPECTROMETRY 2017; 422:188-196. [PMID: 29335669 PMCID: PMC5765550 DOI: 10.1016/j.ijms.2016.12.007] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Miniaturized mass spectrometry (MMS) is optimal for a wide variety of applications that benefit from field-portable instrumentation. Like MMS, field asymmetric ion mobility spectrometry (FAIMS) has proven capable of providing in situ analysis, allowing researchers to bring the lab to the sample. FAIMS compliments MMS very well, but has the added benefit of operating at atmospheric pressure, unlike MS. This distinct advantage makes FAIMS uniquely suited for portability. Since its inception, FAIMS has been envisioned as a field-portable device, as it affords less expense and greater simplicity than many similar methods. Ideally, these are simple, robust devices that may be operated by non-professional personnel, yet still provide adequate data when in the field. While reducing the size and complexity tends to bring with it a loss of performance and accuracy, this is made up for by the incredibly high throughput and overall convenience of the instrument. Moreover, the FAIMS device used in the field can be brought back to the lab, and coupled to a conventional mass spectrometer to provide any necessary method development and compound validation. This work discusses the various considerations, uses, and applications for portable FAIMS instrumentation, and how the future of each applicable field may benefit from the development and acceptance of such a device.
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Affiliation(s)
| | | | | | - Michael S. Wei
- Department of Chemistry; University of Florida; Gainesville, FL 32611
| | | | - Richard A. Yost
- Department of Chemistry; University of Florida; Gainesville, FL 32611
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Christiansen A, Davidsen JR, Titlestad I, Vestbo J, Baumbach J. A systematic review of breath analysis and detection of volatile organic compounds in COPD. J Breath Res 2016; 10:034002. [DOI: 10.1088/1752-7155/10/3/034002] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Chouinard CD, Wei MS, Beekman CR, Kemperman RHJ, Yost RA. Ion Mobility in Clinical Analysis: Current Progress and Future Perspectives. Clin Chem 2016; 62:124-33. [DOI: 10.1373/clinchem.2015.238840] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2015] [Accepted: 10/29/2015] [Indexed: 11/06/2022]
Abstract
Abstract
BACKGROUND
Ion mobility spectrometry (IMS) is a rapid separation tool that can be coupled with several sampling/ionization methods, other separation techniques (e.g., chromatography), and various detectors (e.g., mass spectrometry). This technique has become increasingly used in the last 2 decades for applications ranging from illicit drug and chemical warfare agent detection to structural characterization of biological macromolecules such as proteins. Because of its rapid speed of analysis, IMS has recently been investigated for its potential use in clinical laboratories.
CONTENT
This review article first provides a brief introduction to ion mobility operating principles and instrumentation. Several current applications will then be detailed, including investigation of rapid ambient sampling from exhaled breath and other volatile compounds and mass spectrometric imaging for localization of target compounds. Additionally, current ion mobility research in relevant fields (i.e., metabolomics) will be discussed as it pertains to potential future application in clinical settings.
SUMMARY
This review article provides the authors' perspective on the future of ion mobility implementation in the clinical setting, with a focus on ambient sampling methods that allow IMS to be used as a “bedside” standalone technique for rapid disease screening and methods for improving the analysis of complex biological samples such as blood plasma and urine.
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Affiliation(s)
| | - Michael S Wei
- Department of Chemistry, University of Florida, Gainesville, FL
| | | | | | - Richard A Yost
- Department of Chemistry, University of Florida, Gainesville, FL
- Southeast Center for Integrated Metabolomics (SECIM), University of Florida, Gainesville, FL
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Rydosz A, Szkudlarek A. Gas-Sensing Performance of M-Doped CuO-Based Thin Films Working at Different Temperatures upon Exposure to Propane. SENSORS 2015; 15:20069-85. [PMID: 26287204 PMCID: PMC4570410 DOI: 10.3390/s150820069] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Revised: 07/28/2015] [Accepted: 08/05/2015] [Indexed: 11/28/2022]
Abstract
Cupric oxide (CuO) thin films are promising materials in gas sensor applications. The CuO-based gas sensors behaved as p-type semiconductors and can be used as part of an e-nose or smart sensor array for breath analysis. The authors present the investigation results on M-doped CuO-based (M = Ag, Au, Cr, Pd, Pt, Sb, Si) sensors working at various temperatures upon exposure to a low concentration of C3H8, which can be found in exhaled human breath, and it can be considered as a one of the biomarkers of several diseases. The films have been deposited in magnetron sputtering technology on low temperature cofired ceramics substrates. The results of the gas sensors’ response are also presented and discussed. The Cr:CuO-based structure, annealed at 400 °C for 4 h in air, showed the highest sensor response, of the order of 2.7 at an operation temperature of 250 °C. The response and recovery time(s) were 10 s and 24 s, respectively. The results show that the addition of M-dopants in the cupric oxide films effectively act as catalysts in propane sensors and improve the gas sensing properties. The films’ phase composition, microstructure and surface topography have been assessed by the X-ray diffraction (XRD), scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDX) methods.
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Affiliation(s)
- Artur Rydosz
- AGH University of Science and Technology, Av. Mickiewicza 30, 30-059 Krakow, Poland.
| | - Aleksandra Szkudlarek
- Academic Centre for Materials and Nanotechnology, AGH University of Science and Technology, Av. Mickiewicza 30, 30-059 Krakow, Poland.
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13
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Breath analysis for relapsing polychondritis assessed by ion mobility spectrometry. ACTA ACUST UNITED AC 2015. [DOI: 10.1007/s12127-015-0182-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Kopczynski D, Rahmann S. An online peak extraction algorithm for ion mobility spectrometry data. Algorithms Mol Biol 2015; 10:17. [PMID: 26157473 PMCID: PMC4495807 DOI: 10.1186/s13015-015-0045-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Accepted: 04/02/2015] [Indexed: 11/27/2022] Open
Abstract
Ion mobility (IM) spectrometry (IMS), coupled with multi-capillary columns (MCCs), has been gaining importance for biotechnological and medical applications because of its ability to detect and quantify volatile organic compounds (VOC) at low concentrations in the air or in exhaled breath at ambient pressure and temperature. Ongoing miniaturization of spectrometers creates the need for reliable data analysis on-the-fly in small embedded low-power devices. We present the first fully automated online peak extraction method for MCC/IMS measurements consisting of several thousand individual spectra. Each individual spectrum is processed as it arrives, removing the need to store the measurement before starting the analysis, as is currently the state of the art. Thus the analysis device can be an inexpensive low-power system such as the Raspberry Pi. The key idea is to extract one-dimensional peak models (with four parameters) from each spectrum and then merge these into peak chains and finally two-dimensional peak models. We describe the different algorithmic steps in detail and evaluate the online method against state-of-the-art peak extraction methods.
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Affiliation(s)
- Dominik Kopczynski
- />Bioinformatics for High-Throughput Technologies, Computer Science XI, and Collaborative Research Center SFB 876, TU Dortmund, Dortmund, Germany
| | - Sven Rahmann
- />Bioinformatics for High-Throughput Technologies, Computer Science XI, and Collaborative Research Center SFB 876, TU Dortmund, Dortmund, Germany
- />Genome Informatics, Institute of Human Genetics, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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Albrecht FW, Hüppe T, Fink T, Maurer F, Wolf A, Wolf B, Volk T, Baumbach JI, Kreuer S. Influence of the respirator on volatile organic compounds: an animal study in rats over 24 hours. J Breath Res 2015; 9:016007. [DOI: 10.1088/1752-7155/9/1/016007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Abstract
Abstract
Background:
Multicapillary column ion-mobility spectrometry (MCC-IMS) may identify volatile components in exhaled gas. The authors therefore used MCC-IMS to evaluate exhaled gas in a rat model of sepsis, inflammation, and hemorrhagic shock.
Methods:
Male Sprague–Dawley rats were anesthetized and ventilated via tracheostomy for 10 h or until death. Sepsis was induced by cecal ligation and incision in 10 rats; a sham operation was performed in 10 others. In 10 other rats, endotoxemia was induced by intravenous administration of 10 mg/kg lipopolysaccharide. In a final 10 rats, hemorrhagic shock was induced to a mean arterial pressure of 35 ± 5 mmHg. Exhaled gas was analyzed with MCC-IMS, and volatile compounds were identified using the BS-MCC/IMS-analytes database (Version 1209; B&S Analytik, Dortmund, Germany).
Results:
All sham animals survived the observation period, whereas mean survival time was 7.9 h in the septic animals, 9.1 h in endotoxemic animals, and 2.5 h in hemorrhagic shock. Volatile compounds showed statistically significant differences in septic and endotoxemic rats compared with sham rats for 3-pentanone and acetone. Endotoxic rats differed significantly from sham for 1-propanol, butanal, acetophenone, 1,2-butandiol, and 2-hexanone. Statistically significant differences were observed between septic and endotoxemic rats for butanal, 3-pentanone, and 2-hexanone. 2-Hexanone differed from all other groups in the rats with shock.
Conclusions:
Breath analysis of expired organic compounds differed significantly in septic, inflammation, and sham rats. MCC-IMS of exhaled breath deserves additional study as a noninvasive approach for distinguishing sepsis from inflammation.
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MEMS gas preconcentrator filled with CNT foam for exhaled VOC gas detection. BIOCHIP JOURNAL 2014. [DOI: 10.1007/s13206-014-9106-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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18
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19
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Eckel SP, Baumbach J, Hauschild AC. On the importance of statistics in breath analysis--hope or curse? J Breath Res 2014; 8:012001. [PMID: 24565974 DOI: 10.1088/1752-7155/8/1/012001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Sandrah P Eckel
- Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
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Schivo M, Seichter F, Aksenov AA, Pasamontes A, Peirano DJ, Mizaikoff B, Kenyon NJ, Davis CE. A mobile instrumentation platform to distinguish airway disorders. J Breath Res 2013; 7:017113. [PMID: 23446184 PMCID: PMC3633523 DOI: 10.1088/1752-7155/7/1/017113] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Asthma and chronic obstructive pulmonary disease (COPD) are distinct but clinically overlapping airway disorders which often create diagnostic and therapeutic dilemmas. Current strategies to discriminate these diseases are limited by insensitivity and poor performance due to biologic variability. We tested the hypothesis that a gas chromatograph/differential mobility spectrometer (GC/DMS) sensor could distinguish between clinically well-defined groups with airway disorders based on the volatile organic compounds (VOCs) obtained from exhaled breath. After comparing VOC profiles obtained from 13 asthma, 5 COPD and 13 healthy control subjects, we found that VOC profiles distinguished asthma from healthy controls and also a subgroup of asthmatics taking the drug omalizumab from healthy controls. The VOC profiles could not distinguish between COPD and any of the other groups. Our results show a potential application of the GC/DMS for non-invasive and bedside diagnostics of asthma and asthma therapy monitoring. Future studies will focus on larger sample sizes and patient cohorts.
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Affiliation(s)
- Michael Schivo
- Division of Pulmonary, Critical Care, and Sleep Medicine, Center for Comparative Respiratory Biology and Medicine, University of California, Davis, CA 95616, USA
| | - Felicia Seichter
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Germany
| | - Alexander A. Aksenov
- Department of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USA
| | - Alberto Pasamontes
- Department of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USA
| | - Daniel J. Peirano
- Department of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USA
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, University of Ulm, Germany
| | - Nicholas J. Kenyon
- Division of Pulmonary, Critical Care, and Sleep Medicine, Center for Comparative Respiratory Biology and Medicine, University of California, Davis, CA 95616, USA
| | - Cristina E. Davis
- Department of Mechanical and Aerospace Engineering, University of California, Davis, CA 95616, USA
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21
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Enhancing sensitivity of ion mobility spectrometry determination of aldehydes by in situ gas phase derivatization with dibutylamine. ACTA ACUST UNITED AC 2013. [DOI: 10.1007/s12127-013-0119-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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22
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Computational methods for metabolomic data analysis of ion mobility spectrometry data-reviewing the state of the art. Metabolites 2012; 2:733-55. [PMID: 24957760 PMCID: PMC3901238 DOI: 10.3390/metabo2040733] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2012] [Revised: 09/24/2012] [Accepted: 09/25/2012] [Indexed: 11/17/2022] Open
Abstract
Ion mobility spectrometry combined with multi-capillary columns (MCC/IMS) is a well known technology for detecting volatile organic compounds (VOCs). We may utilize MCC/IMS for scanning human exhaled air, bacterial colonies or cell lines, for example. Thereby we gain information about the human health status or infection threats. We may further study the metabolic response of living cells to external perturbations. The instrument is comparably cheap, robust and easy to use in every day practice. However, the potential of the MCC/IMS methodology depends on the successful application of computational approaches for analyzing the huge amount of emerging data sets. Here, we will review the state of the art and highlight existing challenges. First, we address methods for raw data handling, data storage and visualization. Afterwards we will introduce de-noising, peak picking and other pre-processing approaches. We will discuss statistical methods for analyzing correlations between peaks and diseases or medical treatment. Finally, we study up-to-date machine learning techniques for identifying robust biomarker molecules that allow classifying patients into healthy and diseased groups. We conclude that MCC/IMS coupled with sophisticated computational methods has the potential to successfully address a broad range of biomedical questions. While we can solve most of the data pre-processing steps satisfactorily, some computational challenges with statistical learning and model validation remain.
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23
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Hauschild AC, Baumbach JI, Baumbach J. Integrated statistical learning of metabolic ion mobility spectrometry profiles for pulmonary disease identification. GENETICS AND MOLECULAR RESEARCH 2012; 11:2733-44. [PMID: 22869082 DOI: 10.4238/2012.july.10.17] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Exhaled air carries information on human health status. Ion mobility spectrometers combined with a multi-capillary column (MCC/IMS) is a well-known technology for detecting volatile organic compounds (VOCs) within human breath. This technique is relatively inexpensive, robust and easy to use in every day practice. However, the potential of this methodology depends on successful application of computational approaches for finding relevant VOCs and classification of patients into disease-specific profile groups based on the detected VOCs. We developed an integrated state-of-the-art system using sophisticated statistical learning techniques for VOC-based feature selection and supervised classification into patient groups. We analyzed breath data from 84 volunteers, each of them either suffering from chronic obstructive pulmonary disease (COPD), or both COPD and bronchial carcinoma (COPD + BC), as well as from 35 healthy volunteers, comprising a control group (CG). We standardized and integrated several statistical learning methods to provide a broad overview of their potential for distinguishing the patient groups. We found that there is strong potential for separating MCC/IMS chromatograms of healthy controls and COPD patients (best accuracy COPD vs CG: 94%). However, further examination of the impact of bronchial carcinoma on COPD/no-COPD classification performance is necessary (best accuracy CG vs COPD vs COPD + BC: 79%). We also extracted 20 high-scoring VOCs that allowed differentiating COPD patients from healthy controls. We conclude that these statistical learning methods have a generally high accuracy when applied to well-structured, medical MCC/IMS data.
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Affiliation(s)
- A-C Hauschild
- Department Microfluidics and Clinical Diagnostics, KIST Europe, Saarbrücken, Germany
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Guamán AV, Carreras A, Calvo D, Agudo I, Navajas D, Pardo A, Marco S, Farré R. Rapid detection of sepsis in rats through volatile organic compounds in breath. J Chromatogr B Analyt Technol Biomed Life Sci 2012; 881-882:76-82. [DOI: 10.1016/j.jchromb.2011.12.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2011] [Revised: 11/28/2011] [Accepted: 12/02/2011] [Indexed: 11/28/2022]
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25
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Koczulla R, Hattesohl A, Schmid S, Bödeker B, Maddula S, Baumbach JI. MCC/IMS as potential noninvasive technique in the diagnosis of patients with COPD with and without alpha 1-antitrypsin deficiency. ACTA ACUST UNITED AC 2011. [DOI: 10.1007/s12127-011-0070-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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