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Belluomo I, Whitlock SE, Myridakis A, Parker AG, Converso V, Perkins MJ, Langford VS, Španěl P, Hanna GB. Combining Thermal Desorption with Selected Ion Flow Tube Mass Spectrometry for Analyses of Breath Volatile Organic Compounds. Anal Chem 2024; 96:1397-1401. [PMID: 38243802 PMCID: PMC10831795 DOI: 10.1021/acs.analchem.3c04286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/21/2023] [Accepted: 12/26/2023] [Indexed: 01/22/2024]
Abstract
An instrument integrating thermal desorption (TD) to selected ion flow tube mass spectrometry (SIFT-MS) is presented, and its application to analyze volatile organic compounds (VOCs) in human breath is demonstrated for the first time. The rationale behind this development is the need to analyze breath samples in large-scale multicenter clinical projects involving thousands of patients recruited in different hospitals. Following adapted guidelines for validating analytical techniques, we developed and validated a targeted analytical method for 21 compounds of diverse chemical class, chosen for their clinical and biological relevance. Validation has been carried out by two independent laboratories, using calibration standards and real breath samples from healthy volunteers. The merging of SIFT-MS and TD integrates the rapid analytical capabilities of SIFT-MS with the capacity to collect breath samples across multiple hospitals. Thanks to these features, the novel instrument has the potential to be easily employed in clinical practice.
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Affiliation(s)
- Ilaria Belluomo
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Sophia E. Whitlock
- Syft
Technologies Limited, 68 St. Asaph Street, Christchurch 8011, New Zealand
| | - Antonis Myridakis
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Aaron G. Parker
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Valerio Converso
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Mark J. Perkins
- Element
Lab Solutions, Wellbrook
Court, Girton Road, Cambridge CB3 0NA, United Kingdom
| | - Vaughan S. Langford
- Syft
Technologies Limited, 68 St. Asaph Street, Christchurch 8011, New Zealand
| | - Patrik Španěl
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
- J.
Heyrovský Institute of Physical Chemistry of the Czech Academy
of Sciences, 182 23 Prague, Czechia
| | - George B. Hanna
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
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2
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Benchennouf A, Corion M, Dizon A, Zhao Y, Lammertyn J, De Coninck B, Nicolaï B, Vercammen J, Hertog M. Increasing the Robustness of SIFT-MS Volatilome Fingerprinting by Introducing Notional Analyte Concentrations. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:2407-2412. [PMID: 37552044 DOI: 10.1021/jasms.3c00168] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Selected ion flow tube-mass spectrometry (SIFT-MS) is an analytical technique for volatile detection and quantification. SIFT-MS can be applied in a "white box" approach, measuring concentrations of target compounds, or as a "black box" fingerprinting technique, scanning all product ions during a full scan. Combining SIFT-MS full scan data acquired from multibatches or large-scale experiments remains problematic due to signal fluctuation over time. The standard approach of normalizing full scan data to the total signal intensity was insufficient. This study proposes a new approach to correct SIFT-MS fingerprinting data. In this concept, all of the product ions from a full scan are considered individual compounds for which notional concentrations can be calculated. Converting ion count rates into notional analyte concentrations accounts for any changes in the instrument parameters. The benefits of the proposed approach are demonstrated on three years of data from both multibatches and long-term experiments showing a significant reduction of system-induced fluctuations providing a better focus on the changes of interest.
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Affiliation(s)
- Amina Benchennouf
- KU Leuven, BIOSYST-MeBioS Postharvest group, Willem de Croylaan 42, B-3001 Leuven, Belgium
| | - Matthias Corion
- KU Leuven, BIOSYST-MeBioS Biosensors group, Willem de Croylaan 42, B-3001 Leuven, Belgium
| | - Angelica Dizon
- KU Leuven, BIOSYST-MeBioS Postharvest group, Willem de Croylaan 42, B-3001 Leuven, Belgium
| | - Yijie Zhao
- KU Leuven, BIOSYST-Crop Biotechnics, Willem de Croylaan 42, B-3001 Leuven, Belgium
| | - Jeroen Lammertyn
- KU Leuven, BIOSYST-MeBioS Biosensors group, Willem de Croylaan 42, B-3001 Leuven, Belgium
| | - Barbara De Coninck
- KU Leuven, BIOSYST-Crop Biotechnics, Willem de Croylaan 42, B-3001 Leuven, Belgium
| | - Bart Nicolaï
- KU Leuven, BIOSYST-MeBioS Postharvest group, Willem de Croylaan 42, B-3001 Leuven, Belgium
- Flanders Centre of Postharvest Technology, Willem de Croylaan 42, B-3001 Leuven, Belgium
| | - Joeri Vercammen
- UGent, Department of Materials, Textiles and Chemical Engineering, Technologiepark Zwijnaarde 125, B-9052 Zwijnaarde, Belgium
| | - Maarten Hertog
- KU Leuven, BIOSYST-MeBioS Postharvest group, Willem de Croylaan 42, B-3001 Leuven, Belgium
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Westhoff M, Keßler M, Baumbach JI. Alveolar gradients in breath analysis. A pilot study with comparison of room air and inhaled air by simultaneous measurements using ion mobility spectrometry. J Breath Res 2023; 17:046009. [PMID: 37611565 DOI: 10.1088/1752-7163/acf338] [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: 05/26/2023] [Accepted: 08/23/2023] [Indexed: 08/25/2023]
Abstract
Analyzing exhaled breath samples, especially using a highly sensitive method such as MCC/IMS (multi-capillary column/ion mobility spectrometry), may also detect analytes that are derived from exogenous production. In this regard, there is a discussion about the optimal interpretation of exhaled breath, either by considering volatile organic compounds (VOCs) only in exhaled breath or by additionally considering the composition of room air and calculating the alveolar gradients. However, there are no data on whether the composition and concentration of VOCs in room air are identical to those in truly inhaled air directly before analyzing the exhaled breath. The current study aimed to determine whether the VOCs in room air, which are usually used for the calculation of alveolar gradients, are identical to the VOCs in truly inhaled air. For the measurement of inhaled air and room air, two IMS, each coupled with an MCC that provided a pre-separation of the VOCs, were used in parallel. One device was used for sampling room air and the other for sampling inhaled air. Each device was coupled with a newly invented system that cleaned room air and provided a clean carrier gas, whereas formerly synthetic air had to be used as a carrier gas. In this pilot study, a healthy volunteer underwent three subsequent runs of sampling of inhaled air and simultaneous sampling and analysis of room air. Three of the selected 11 peaks (P4-unknown, P5-1-Butanol, and P9-Furan, 2-methyl-) had significantly higher intensities during inspiration than in room air, and four peaks (P1-1-Propanamine, N-(phenylmethylene), P2-2-Nonanone, P3-Benzene, 1,2,4-trimethyl-, and P11-Acetyl valeryl) had higher intensities in room air. Furthermore, four peaks (P6-Benzaldehyde, P7-Pentane, 2-methyl-, P8-Acetone, and P10-2-Propanamine) showed inconsistent differences in peak intensities between inhaled air and room air. To the best of our knowledge, this is the first study to compare simultaneous sampling of room air and inhaled air using MCC/IMS. The simultaneous measurement of inhaled air and room air showed that using room air for the calculation of alveolar gradients in breath analysis resulted in different alveolar gradient values than those obtained by measuring truly inhaled air.
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Affiliation(s)
- M Westhoff
- Department of Pneumology, Sleep and Respiratory Medicine, Hemer Lung Clinic, Theo-Funccius-Str. 1, 58675 Hemer, Germany
- Witten/Herdecke University, Alfred-Herrhausen-Str. 50, 58448 Witten, Germany
| | - M Keßler
- University of Applied Sciences Münster, Hüfferstrasse 27, 48149 Münster, Germany
- B. Braun Melsungen AG, Branch Dortmund, Center of Competence Breath Analysis, Otto-Hahn-Str. 15, 44227 Dortmund, Germany
| | - J I Baumbach
- Technical University Dortmund, Faculty Bio- and Chemical Engineering, Emil-Figge-Str. 70, 44227 Dortmund, Germany
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Zeng Z, Zhang B, Zhan Y, Huo J, Shi Y, Li X, Zhe W, Li B, Zhang Y, Yang Q. Method Comparison of Sample Pretreatment and Discovery of Differential Compositions of Natural Flavors and Fragrances for Quality Analysis by Using Chemometric Tools. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1222:123690. [PMID: 37019038 DOI: 10.1016/j.jchromb.2023.123690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/10/2023] [Accepted: 03/22/2023] [Indexed: 03/29/2023]
Abstract
Natural flavors and fragrances or their extracts have been widely used in a large variety of areas, including food, cosmetic, and tobacco industrial processes, among others. The compositions and intrinsic attributes of flavors and fragrances were related to many factors, such as species, geographical origin, planting environment, storage condition, processing method, and so on. This not only increased the difficulty in analyzing the product quality of flavors and fragrances, but also challenged the idea of "quality-by-design (QbD)". This work proposed an integrated strategy for precise discovery of differential compounds among different classes and subsequent quality analysis of complex samples through flavors and fragrances used in tobacco industry as examples. Three pretreatment methods were first inspected to effectively characterize the sample compositions, including direct injection (DI), thermal desorption (TD), and stir bar sorptive extraction (SBSE)-TD, coupled with gas chromatography-mass spectrometry (GC-MS) analysis to obtain characteristic information of samples of flavors and fragrances. Then, principal component analysis (PCA) was applied to discover the relation and difference between chromatographic fingerprints and peak table data once significant components were recognized in a holistic manner. Model population analysis (MPA) was then used to quantitatively extract the characteristic chemicals representing the quality differences among different classes of samples. Some differential marker compounds were discovered for difference analysis, including benzyl alcohol, latin acid, l-menthol acid, decanoic acid ethyl ester, vanillin, trans-o-coumaric acid, benzyl benzoate, and so on. Furthermore, partial least squares-discriminant analysis (PLS-DA) and support vector machine (SVM) were respectively applied to construct multivariate models for evaluation of quality differences and variations. It was found that the accuracy attains to 100% for sample classification. With the help of optimal sample pretreatment technique and chemometric methods, the strategy for quality analysis and difference discovery proposed in this work can be widely delivered to more areas of complex plants with good interpretability and high accuracy.
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Affiliation(s)
- Zhongda Zeng
- College of Environmental and Chemical Engineering, Dalian University, Dalian 116622, China
| | - Baohua Zhang
- College of Environmental and Chemical Engineering, Dalian University, Dalian 116622, China
| | - Yifei Zhan
- College of Environmental and Chemical Engineering, Dalian University, Dalian 116622, China
| | - Jinfeng Huo
- College of Environmental and Chemical Engineering, Dalian University, Dalian 116622, China
| | - Yingjiao Shi
- College of Environmental and Chemical Engineering, Dalian University, Dalian 116622, China
| | - Xianyi Li
- Technology Center of China Tobacco Yunnan Industrial Co. Ltd., Kunming 650231, China
| | - Wei Zhe
- Technology Center of China Tobacco Yunnan Industrial Co. Ltd., Kunming 650231, China
| | - Boyan Li
- School of Public Health, Guizhou Medical University, Guiyang 550025, China.
| | - Yipeng Zhang
- Technology Center of China Tobacco Yunnan Industrial Co. Ltd., Kunming 650231, China.
| | - Qianxu Yang
- Technology Center of China Tobacco Yunnan Industrial Co. Ltd., Kunming 650231, China.
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Oxner M, Trang A, Mehta J, Forsyth C, Swanson B, Keshavarzian A, Bhushan A. The Versatility and Diagnostic Potential of VOC Profiling for Noninfectious Diseases. BME FRONTIERS 2023; 4:0002. [PMID: 37849665 PMCID: PMC10521665 DOI: 10.34133/bmef.0002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 11/11/2022] [Indexed: 10/19/2023] Open
Abstract
A variety of volatile organic compounds (VOCs) are produced and emitted by the human body every day. The identity and concentration of these VOCs reflect an individual's metabolic condition. Information regarding the production and origin of VOCs, however, has yet to be congruent among the scientific community. This review article focuses on the recent investigations of the source and detection of biological VOCs as a potential for noninvasive discrimination between healthy and diseased individuals. Analyzing the changes in the components of VOC profiles could provide information regarding the molecular mechanisms behind disease as well as presenting new approaches for personalized screening and diagnosis. VOC research has prioritized the study of cancer, resulting in many research articles and reviews being written on the topic. This review summarizes the information gained about VOC cancer studies over the past 10 years and looks at how this knowledge correlates with and can be expanded to new and upcoming fields of VOC research, including neurodegenerative and other noninfectious diseases. Recent advances in analytical techniques have allowed for the analysis of VOCs measured in breath, urine, blood, feces, and skin. New diagnostic approaches founded on sensor-based techniques allow for cheaper and quicker results, and we compare their diagnostic dependability with gas chromatography- and mass spectrometry-based techniques. The future of VOC analysis as a clinical practice and the challenges associated with this transition are also discussed and future research priorities are summarized.
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Affiliation(s)
- Micah Oxner
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Allyson Trang
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Jhalak Mehta
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
| | - Christopher Forsyth
- Department of Internal Medicine, Division of Digestive Diseases and Nutrition, Section of Gastroenterology, Rush Medical College, Chicago, IL 60612, USA
| | - Barbara Swanson
- Department of Adult Health and Gerontological Nursing, Rush University College of Nursing, Chicago, IL 60612, USA
| | - Ali Keshavarzian
- Department of Internal Medicine, Division of Digestive Diseases and Nutrition, Section of Gastroenterology, Rush Medical College, Chicago, IL 60612, USA
| | - Abhinav Bhushan
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA
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Holz O, van Vorstenbosch R, Günther F, Schuchardt S, Trinkmann F, van Schooten FJ, Smolinska A, Hohlfeld J. Changes of breath volatile organic compounds in healthy volunteers following segmental and inhalation endotoxin challenge. J Breath Res 2022; 16. [PMID: 35366648 DOI: 10.1088/1752-7163/ac6359] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/01/2022] [Indexed: 11/11/2022]
Abstract
Background It is still unclear how airway inflammation affects the breath volatile organic compounds (VOC) profile in exhaled air. We therefore analyzed breath following well-defined pulmonary endotoxin (lipopolysaccharide, LPS) challenges. Methods Breath was collected from 10 healthy non-smoking subjects at eight time points before and after segmental and whole lung LPS inhalation challenge. Four Tenax-TA® adsorption tubes were simultaneously loaded from an aluminum reservoir cylinder and independently analyzed by two research groups using gas chromatography - mass spectrometry. Airway inflammation was assessed in bronchoalveolar lavage (BAL) and in sputum after segmental and inhaled LPS challenge, respectively. Results Segmental LPS challenge significantly increased the median (interquartile range, IQR) percentage of neutrophils in BAL from 3.0 (4.2) % to 64.0 (7.3) %. The inhalation challenge increased sputum neutrophils from 33.9 (26.8) % to 78.3 (13.5) %. We observed increases in breath aldehydes at both time points after segmental and inhaled LPS challenge. These results were confirmed by an independent laboratory. The longitudinal breath analysis also revealed distinct VOC patterns related to environmental exposures, clinical procedures, and to metabolic changes after food intake. Conclusions Changes in breath aldehydes suggest a relationship to LPS induced inflammation compatible with lipid peroxidation processes within the lung. Findings from our longitudinal data highlight the need for future studies to better consider the potential impact of the multiple VOCs from detergents, hygiene or lifestyle products a subject is continuously exposed to. We suspect that this very individual "owncloud" exposure is contributing to an increased variability of breath aldehydes, which might limit a use as inflammatory markers in daily clinical practice.
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Affiliation(s)
- Olaf Holz
- Clinical Airway Research, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Feodor-Lynen-Str. 15, Hannover, 30625, GERMANY
| | | | - Frank Günther
- Bio- and Environmental Analytics, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Feodor-Lynen-Str. 15, Hannover, 30625, GERMANY
| | - Sven Schuchardt
- Bio- and Environmental Analytics, Fraunhofer-Institut fur Toxikologie und Experimentelle Medizin, Feodor-Lynen-Str. 15, Hannover, Niedersachsen, 30625, GERMANY
| | - Frederik Trinkmann
- Pneumology and Critical Care Medicine, Thoraxklinik at University Hospital Heidelberg, Röntgenstraße 1, Heidelberg, 69126, GERMANY
| | - Frederik Jan van Schooten
- Department of Toxicology, University of Maastricht, Universiteitssingel 50, THE NETHERLANDS, Maastricht, 6229 ER, NETHERLANDS
| | - Agnieszka Smolinska
- Toxicology Department, Maastricht University, Universiteitssingel 50, Maastricht, 6229 ER, NETHERLANDS
| | - Jens Hohlfeld
- ITEM, Fraunhofer Institute for Toxicology and Experimental Medicine, Nikolai-Fuchs-Str. 1, Hannover, 30625, GERMANY
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Decrue F, Singh KD, Gisler A, Awchi M, Zeng J, Usemann J, Frey U, Sinues P. Combination of Exhaled Breath Analysis with Parallel Lung Function and FeNO Measurements in Infants. Anal Chem 2021; 93:15579-15583. [PMID: 34780695 DOI: 10.1021/acs.analchem.1c02036] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Breath analysis by secondary electrospray ionization-high resolution mass spectrometry (SESI-HRMS) offers the possibility to measure comprehensive metabolic profiles. The technology is currently being deployed in several clinical settings in Switzerland and China. However, patients are required to exhale directly into the device located in a dedicated room. Consequently, clinical implementation in patients incapable of performing necessary exhalation maneuvers (e.g., infants) or immobile (e.g., too weak, elderly, or in intensive care) remains a challenge. The aim of this study was to develop a method to extend such breath analysis capabilities to this subpopulation of patients by collecting breath samples remotely (offline) and promptly (within 10 min) transfer them to SESI-HRMS for chemical analysis. We initially assessed the method in adults by comparing breath mass spectra collected offline with Nalophan bags against spectra of breath samples collected in real time. In total, 13 adults provided 176 pairs of real-time and offline measurements. Lin's concordance correlation coefficient (CCC) was used to estimate the agreement between offline and real-time analyses. Here, 1249 mass spectral features (55% of total detected) exhibited Lin's CCC > 0.6. Subsequently, the method was successfully deployed to analyze breath samples from infants (n = 16), obtaining as a result SESI-HRMS breath profiles. To demonstrate the clinical feasibility of the method, we measured in parallel other clinical variables: (i) lung function, which characterizes the breathing patterns, and (ii) nitric oxide, which is a surrogate marker of airway inflammation. As a showcase, we focused our analysis on the exhaled oxidative stress marker 4-hydroxynonenal and its association with nitric oxide and minute ventilation.
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Affiliation(s)
- Fabienne Decrue
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
| | - Kapil Dev Singh
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil 4123, Switzerland
| | - Amanda Gisler
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
| | - Mo Awchi
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil 4123, Switzerland
| | - Jiafa Zeng
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil 4123, Switzerland
| | - Jakob Usemann
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
| | - Urs Frey
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Pediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil 4123, Switzerland
| | - Pablo Sinues
- University of Basel Children's Hospital (UKBB), Basel 4056, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil 4123, Switzerland
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8
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Identification of volatile compounds from bacteria by spectrometric methods in medicine diagnostic and other areas: current state and perspectives. Appl Microbiol Biotechnol 2021; 105:6245-6255. [PMID: 34415392 PMCID: PMC8377328 DOI: 10.1007/s00253-021-11469-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 07/20/2021] [Accepted: 07/22/2021] [Indexed: 10/25/2022]
Abstract
Diagnosis of bacterial infections until today mostly relies on conventional microbiological methods. The resulting long turnaround times can lead to delayed initiation of adequate antibiotic therapy and prolonged periods of empiric antibiotic therapy (e.g., in intensive care medicine). Therewith, they contribute to the mortality of bacterial infections and the induction of multidrug resistances. The detection of species specific volatile organic compounds (VOCs) emitted by bacteria has been proposed as a possible diagnostic approach with the potential to serve as an innovative point-of-care diagnostic tool with very short turnaround times. A range of spectrometric methods are available which allow the detection and quantification of bacterial VOCs down to a range of part per trillion. This narrative review introduces the application of spectrometric analytical methods for the purpose of detecting VOCs of bacterial origin and their clinical use for diagnosing different infectious conditions over the last decade. KEY POINTS: • Detection of VOCs enables bacterial differentiation in various medical conditions. • Spectrometric methods may function as point-of-care diagnostics in near future.
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