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Perl, Thorsten
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Perl, Thorsten
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Perl, Thorsten
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Perl, T.
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2015Journal Article [["dc.bibliographiccitation.artnumber","14"],["dc.bibliographiccitation.journal","Journal of Cardiothoracic Surgery"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Bireta, Christian"],["dc.contributor.author","Tirilomis, Theodor"],["dc.contributor.author","Grossmann, Marius"],["dc.contributor.author","Unsoeld, Bernhard W."],["dc.contributor.author","Wachter, R. Rolf"],["dc.contributor.author","Perl, Thorsten"],["dc.contributor.author","Jebran, Ahmad Fawad"],["dc.contributor.author","Schoendube, Friedrich Albert"],["dc.contributor.author","Popov, Aron Frederik"],["dc.date.accessioned","2018-11-07T10:01:53Z"],["dc.date.available","2018-11-07T10:01:53Z"],["dc.date.issued","2015"],["dc.description.abstract","Giant-cell myocarditis (GCM) is known as a rare, rapidly progressive, and frequently fatal myocardial disease in young and middle-aged adults. We report about a 76 year old male patient who underwent implantation with a biventricular Berlin Heart Excor system at the age of 74 due to acute biventricular heart failure caused by giant-cell myocarditis. The implantation was without any surgical problems; however, a difficulty was the immunosuppressive therapy after implantation. Meanwhile the patient is 76 years old and lives with circulatory support for about 3 years without major adverse events. Also, in terms of mobility in old age there are no major limitations. It seems that in even selected elderly patients an implantation of a long term support with the biventricular Berlin Heart Excor is a useful therapeutic option with an acceptable outcome."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2015"],["dc.identifier.doi","10.1186/s13019-015-0218-9"],["dc.identifier.isi","000350433300001"],["dc.identifier.pmid","25637129"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13464"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38121"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1749-8090"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Long term biventricular support with Berlin Heart Excor in a Septuagenarian with giant-cell myocarditis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC WOS2021Journal Article [["dc.bibliographiccitation.firstpage","6245"],["dc.bibliographiccitation.issue","16-17"],["dc.bibliographiccitation.journal","Applied Microbiology and Biotechnology"],["dc.bibliographiccitation.lastpage","6255"],["dc.bibliographiccitation.volume","105"],["dc.contributor.author","Kunze-Szikszay, Nils"],["dc.contributor.author","Euler, Maximilian"],["dc.contributor.author","Perl, Thorsten"],["dc.date.accessioned","2021-09-01T06:42:43Z"],["dc.date.available","2021-09-01T06:42:43Z"],["dc.date.issued","2021"],["dc.description.abstract","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."],["dc.description.abstract","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."],["dc.identifier.doi","10.1007/s00253-021-11469-7"],["dc.identifier.pii","11469"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89126"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-455"],["dc.relation.eissn","1432-0614"],["dc.relation.issn","0175-7598"],["dc.title","Identification of volatile compounds from bacteria by spectrometric methods in medicine diagnostic and other areas: current state and perspectives"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2015Journal Article [["dc.bibliographiccitation.artnumber","33"],["dc.bibliographiccitation.journal","Annals of Clinical Microbiology and Antimicrobials"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Kunze, Nils"],["dc.contributor.author","Moerer, Onnen"],["dc.contributor.author","Steinmetz, Nicolas"],["dc.contributor.author","Schulze, M. H."],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Perl, Thorsten"],["dc.date.accessioned","2018-11-07T09:55:53Z"],["dc.date.available","2018-11-07T09:55:53Z"],["dc.date.issued","2015"],["dc.description.abstract","Background: The early beginning of an adequate antibiotic therapy is crucial in hospital-acquired pneumonia (HAP), but depends on the results of conventional microbiological diagnostics (cMD). It was the aim of this study to evaluate the performance and turnaround times of a new point-of-care multiplex polymerase chain reaction (mPCR) system for rapid identification of pathogens and antibiotic resistance markers. We assessed the applicability of the system under real-life conditions in critical ill patients with HAP. Methods: We enrolled forty critical ill patients with clinical signs for HAP into an observational study. Two samples of respiratory secretions were collected during one course of aspiration and cMD and mPCR testing (Unyvero, Curetis AG, Holzgerlingen, Germany) were performed immediately. The mPCR device was operated as a point-of-care system at the intensive care unit. We compared turnaround times, results of pathogen identification and results of antibiotic resistance testing of both methods. Results: Mean turnaround times (min-max) were 6.5 h (4.7-18.3 h) for multiplex PCR and 71 h (37.2-217.8 h) for conventional microbiology (final cMD results, incomplete results neglected). 60 % (n = 24) of the mPCR tests were completely valid. Complete test failure occurred in 10 % (n = 4) and partial test failure occurred in 30 % (n = 12). We found concordant results in 45 % (n = 18) and non-concordant results in 45 % (n = 18) of all patients. 55 % (n = 16) of the results were concordant in patients with a clinical pulmonary infection score (CPIS) > 5 (n = 29). Concordant results included three cases of multidrug resistant bacteria. MPCR frequently detected antibiotic resistance markers that were not found by cMD. Conclusions: Unyvero allowed point-of-care microbial testing with short turnaround times. The performance of the system was poor. However, an improved system with a more reliable performance and an extended microbial panel could be a useful addition to cMD in intensive care medicine."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2015"],["dc.identifier.doi","10.1186/s12941-015-0091-3"],["dc.identifier.isi","000356592600001"],["dc.identifier.pmid","26071191"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13460"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/36848"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1476-0711"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Point-of-care multiplex PCR promises short turnaround times for microbial testing in hospital-acquired pneumonia - an observational pilot study in critical ill patients"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC WOS2015Journal Article [["dc.bibliographiccitation.artnumber","12"],["dc.bibliographiccitation.journal","Journal of Occupational Medicine and Toxicology"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Kunze, Nils"],["dc.contributor.author","Weigel, Cathrin"],["dc.contributor.author","Vautz, Wolfgang"],["dc.contributor.author","Schwerdtfeger, Katrin"],["dc.contributor.author","Juenger, Melanie"],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Perl, Thorsten"],["dc.date.accessioned","2018-11-07T09:59:26Z"],["dc.date.available","2018-11-07T09:59:26Z"],["dc.date.issued","2015"],["dc.description.abstract","Background: Occupational exposure to sevoflurane has the potential to cause health damage in hospital personnel. Workplace contamination with the substance mostly is assessed by using photoacoustic infrared spectrometry with detection limits of 10 ppbv. Multi-capillary column-ion mobility spectrometry (MCC-IMS) could be an alternative technology for the quantification of sevoflurane in the room air and could be even more accurate because of potentially lower detection limits. The aim of this study was to test the hypothesis that MCC-IMS is able to detect and monitor very low concentrations of sevoflurane (<10 ppbv) and to evaluate the exposure of hospital personnel to sevoflurane during paediatric anaesthesia and in the post anaesthesia care unit (PACU). Methods: A MCC-IMS device was calibrated to several concentrations of sevoflurane and limits of detection (LOD) and quantification (LOQ) were calculated. Sevoflurane exposure of hospital personnel was measured at two anaesthesia workplaces and time-weighted average (TWA) values were calculated. Results: The LOD was 0.0068 ppbv and the LOQ was 0.0189 ppbv. During paediatric anaesthesia the mean sevoflurane concentration was 46.9 ppbv (8.0 - 314.7 ppbv) with TWA values between 5.8 and 45.7 ppbv. In the PACU the mean sevoflurane concentration was 27.9 ppbv (8.0 - 170.2 ppbv) and TWA values reached from 8.3 to 45.1 ppbv. Conclusions: MCC-IMS shows a significantly lower LOD and LOQ than comparable methods. It is a reliable technology for monitoring sevoflurane concentrations at anaesthesia workplaces and has a particular strength in quantifying low-level contaminations of sevoflurane. The exposure of the personnel working in these areas did not exceed recommended limits and therefore adverse health effects are unlikely."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2015"],["dc.identifier.doi","10.1186/s12995-015-0056-7"],["dc.identifier.isi","000351901100001"],["dc.identifier.pmid","25829942"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13461"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37587"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1745-6673"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Multi-capillary column-ion mobility spectrometry (MCC-IMS) as a new method for the quantification of occupational exposure to sevoflurane in anaesthesia workplaces: an observational feasibility study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI PMID PMC WOS2022Journal Article [["dc.bibliographiccitation.artnumber","e2223225"],["dc.bibliographiccitation.issue","7"],["dc.bibliographiccitation.journal","JAMA Network Open"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Rühlmann, Felix"],["dc.contributor.author","Tichelbäcker, Tobias"],["dc.contributor.author","Mackert, Alma Franziska"],["dc.contributor.author","Engelhardt, Deborah"],["dc.contributor.author","Leha, Andreas"],["dc.contributor.author","Bernhardt, Markus"],["dc.contributor.author","Ghadimi, Michael"],["dc.contributor.author","Perl, Thorsten"],["dc.contributor.author","Azizian, Azadeh"],["dc.contributor.author","Gaedcke, Jochen"],["dc.date.accessioned","2022-09-01T09:49:15Z"],["dc.date.available","2022-09-01T09:49:15Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1001/jamanetworkopen.2022.23225"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113381"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.eissn","2574-3805"],["dc.title","Incidence, Associated Risk Factors, and Outcomes of Postoperative Arrhythmia After Upper Gastrointestinal Surgery"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2018Journal Article [["dc.bibliographiccitation.firstpage","559"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Sensors and Sensor Systems"],["dc.bibliographiccitation.lastpage","567"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Berger, Marc"],["dc.contributor.author","Faulstich, Michael"],["dc.contributor.author","Perl, Thorsten"],["dc.contributor.author","Zimmermann, Stefan"],["dc.date.accessioned","2020-12-10T18:47:54Z"],["dc.date.available","2020-12-10T18:47:54Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.5194/jsss-7-559-2018"],["dc.identifier.eissn","2194-878X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78938"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Continuous in-line monitoring of electrolyte concentrations in extracorporeal circuits for individualization of dialysis treatment"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2021-02-28Journal Article [["dc.bibliographiccitation.artnumber","69"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Microbiology"],["dc.bibliographiccitation.volume","21"],["dc.contributor.author","Kunze-Szikszay, Nils"],["dc.contributor.author","Euler, Maximilian"],["dc.contributor.author","Kuhns, Martin"],["dc.contributor.author","Thieß, Melanie"],["dc.contributor.author","Groß, Uwe"],["dc.contributor.author","Quintel, Michael"],["dc.contributor.author","Perl, Thorsten"],["dc.date.accessioned","2021-04-14T08:28:09Z"],["dc.date.accessioned","2022-08-18T12:35:52Z"],["dc.date.available","2021-04-14T08:28:09Z"],["dc.date.available","2022-08-18T12:35:52Z"],["dc.date.issued","2021-02-28"],["dc.date.updated","2022-07-29T12:07:23Z"],["dc.description.abstract","Abstract\r\n \r\n Background\r\n Hospital-acquired pneumonia (HAP) is a common problem in intensive care medicine and the patient outcome depends on the fast beginning of adequate antibiotic therapy. Until today pathogen identification is performed using conventional microbiological methods with turnaround times of at least 24 h for the first results. It was the aim of this study to investigate the potential of headspace analyses detecting bacterial species-specific patterns of volatile organic compounds (VOCs) for the rapid differentiation of HAP-relevant bacteria.\r\n \r\n \r\n Methods\r\n Eleven HAP-relevant bacteria (Acinetobacter baumanii, Acinetobacter pittii, Citrobacter freundii, Enterobacter cloacae, Escherichia coli, Klebsiella oxytoca, Klebsiella pneumoniae, Pseudomonas aeruginosa, Proteus mirabilis, Staphylococcus aureus, Serratia marcescens) were each grown for 6 hours in Lysogeny Broth and the headspace over the grown cultures was investigated using multi-capillary column-ion mobility spectrometry (MCC-IMS) to detect differences in the VOC composition between the bacteria in the panel. Peak areas with changing signal intensities were statistically analysed, including significance testing using one-way ANOVA or Kruskal-Wallis test (p < 0.05).\r\n \r\n \r\n Results\r\n 30 VOC signals (23 in the positive ion mode and 7 in the negative ion mode of the MCC-IMS) showed statistically significant differences in at least one of the investigated bacteria. The VOC patterns of the bacteria within the HAP panel differed substantially and allowed species differentiation.\r\n \r\n \r\n Conclusions\r\n MCC-IMS headspace analyses allow differentiation of bacteria within HAP-relevant panel after 6 h of incubation in a complex fluid growth medium. The method has the potential to be developed towards a feasible point-of-care diagnostic tool for pathogen differentiation on HAP."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2021"],["dc.identifier.citation","BMC Microbiology. 2021 Feb 28;21(1):69"],["dc.identifier.doi","10.1186/s12866-021-02102-8"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17742"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/82517"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112945"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","BioMed Central"],["dc.relation.eissn","1471-2180"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject","Pneumonia"],["dc.subject","Microbiological techniques"],["dc.subject","Volatile organic compound"],["dc.subject","Metabolite"],["dc.subject","Ion mobility spectrometry"],["dc.title","Headspace analyses using multi-capillary column-ion mobility spectrometry allow rapid pathogen differentiation in hospital-acquired pneumonia relevant bacteria"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI2019Journal Article [["dc.bibliographiccitation.firstpage","708"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Anaesthesia"],["dc.bibliographiccitation.lastpage","713"],["dc.bibliographiccitation.volume","74"],["dc.contributor.author","Perl, T."],["dc.contributor.author","Kunze‐Szikszay, N."],["dc.contributor.author","Bräuer, A."],["dc.contributor.author","Quintel, M."],["dc.contributor.author","Röhrig, A. L."],["dc.contributor.author","Kerpen, K."],["dc.contributor.author","Telgheder, U."],["dc.date.accessioned","2021-06-01T10:47:11Z"],["dc.date.available","2021-06-01T10:47:11Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1111/anae.14601"],["dc.identifier.eissn","1365-2044"],["dc.identifier.issn","0003-2409"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/85512"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","1365-2044"],["dc.relation.issn","0003-2409"],["dc.title","Aluminium release by coated and uncoated fluid‐warming devices"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]Details DOI2015Journal Article [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Biomedical Engineering / Biomedizinische Technik"],["dc.bibliographiccitation.lastpage","9"],["dc.bibliographiccitation.volume","60"],["dc.contributor.author","Brandes, Ivo Florian"],["dc.contributor.author","Perl, Thorsten"],["dc.contributor.author","Bauer, Martin"],["dc.contributor.author","Braeuer, Anselm"],["dc.date.accessioned","2018-11-07T10:01:19Z"],["dc.date.available","2018-11-07T10:01:19Z"],["dc.date.issued","2015"],["dc.description.abstract","Reliable continuous perioperative core temperature measurement is of major importance. The pulmonary artery catheter is currently the gold standard for measuring core temperature but is invasive and expensive. Using a manikin, we evaluated the new, noninvasive SpotOn (TM) temperature monitoring system (SOT). With a sensor placed on the lateral forehead, SOT uses zero heat flux technology to noninvasively measure core temperature; and because the forehead is devoid of thermoregulatory arteriovenous shunts, a piece of bone cement served as a model of the frontal bone in this study. Bias, limits of agreements, long-term measurement stability, and the lowest measurable temperature of the device were investigated. Bias and limits of agreement of the temperature data of two SOTs and of the thermistor placed on the manikin's surface were calculated. Measurements obtained from SOTs were similar to thermistor values. The bias and limits of agreement lay within a predefined clinically acceptable range. Repeat measurements differed only slightly, and stayed stable for hours. Because of its temperature range, the SOT cannot be used to monitor temperatures below 28 degrees C. In conclusion, the new SOT could provide a reliable, less invasive and cheaper alternative for measuring perioperative core temperature in routine clinical practice. Further clinical trials are needed to evaluate these results."],["dc.identifier.doi","10.1515/bmt-2014-0063"],["dc.identifier.isi","000350406100001"],["dc.identifier.pmid","25389979"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37991"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Walter De Gruyter Gmbh"],["dc.relation.issn","1862-278X"],["dc.relation.issn","0013-5585"],["dc.title","Evaluation of a novel noninvasive continuous core temperature measurement system with a zero heat flux sensor using a manikin of the human body"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]Details DOI PMID PMC WOS2010Journal Article [["dc.bibliographiccitation.firstpage","41"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","International Journal for Ion Mobility Spectrometry"],["dc.bibliographiccitation.lastpage","46"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Vautz, Wolfgang"],["dc.contributor.author","Baumbach, Jörg I."],["dc.contributor.author","Westhoff, Michael"],["dc.contributor.author","Züchner, Klaus"],["dc.contributor.author","Carstens, Eike T. H."],["dc.contributor.author","Perl, Thorsten"],["dc.date.accessioned","2019-07-09T11:53:36Z"],["dc.date.available","2019-07-09T11:53:36Z"],["dc.date.issued","2010"],["dc.description.abstract","Sampling of breath under human control or automated control with sensors was combined with chemical determination of a synthetic sample using multi-capillary column ion mobility spectrometry to measure quantitative variability. Variation was 19% with an automated inlet and 33% with human control. Sensors to operate an automated inlet were also evaluated with human subjects and included carbon dioxide (CO2), flow (direction and velocity), volume (integrated from the flow rate) and humidity, all operating in the mainstream of exhaled air. The flow sensor provided a measure of sampling of breath from the upper airways and other sensors gauged exclusive sampling of the end-tidal volume as well. Sensors for volume and CO2 exhibited identical profiles, using appropriate threshold values, in reference to inspiration and expiration. A sensor for humidity lagged inspiration and expiration with a delay of 300 ms and therefore is diminished in value. The sensors recommended for an automated inlet for breath sampling are CO2 and the exhaled or tidal volume though tidal volume varies significantly with personal physiognomy. This necessitates an evaluation of a subject to establish a threshold setting and CO2 is the single best parameter providing the availability of sensor signal within 50 ms."],["dc.identifier.doi","10.1007/s12127-010-0039-4"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/7735"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60459"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1865-4584"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Breath sampling control for medical application"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]Details DOI