{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T01:47:10Z","timestamp":1790819230038,"version":"4.1.0"},"reference-count":42,"publisher":"IOP Publishing","issue":"2","license":[{"start":{"date-parts":[[2017,3,20]],"date-time":"2017-03-20T00:00:00Z","timestamp":1489968000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2017,3,20]],"date-time":"2017-03-20T00:00:00Z","timestamp":1489968000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"crossref","award":["H2020-PCH-HEARTEN project"],"award-info":[{"award-number":["H2020-PCH-HEARTEN project"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"crossref","award":["TR 1381\/2-1"],"award-info":[{"award-number":["TR 1381\/2-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["J. Breath Res."],"published-print":{"date-parts":[[2017,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    There is a need for standardisation in sampling and analysis of breath volatile organic compounds (VOCs) in order to minimise ubiquitous confounding effects. Physiological factors may mask concentration changes induced by pathophysiological effects. In humans, unconscious switching of oral and nasal breathing can occur during breath sampling, which may affect VOC patterns. Here, we investigated exhaled VOC concentrations in real-time while switching breathing routes. Breath from 15 healthy volunteers was analysed continuously by proton transfer reaction time-of-flight mass spectrometry during paced breathing (12 breaths min\n                    <jats:sup>\u22121<\/jats:sup>\n                    ). Every two minutes breathing routes were switched (Setup-1: Oral\u00a0\u2192\u00a0Nasal\u00a0\u2192\u00a0Oral\u00a0\u2192\u00a0Nasal; Setup-2: Oral\n                    <jats:sub>in<\/jats:sub>\n                    Nasal\n                    <jats:sub>out<\/jats:sub>\n                    \u00a0\u2192\u00a0Nasal\n                    <jats:sub>in<\/jats:sub>\n                    Oral\n                    <jats:sub>out<\/jats:sub>\n                    \u00a0\u2192\u00a0Oral\n                    <jats:sub>in<\/jats:sub>\n                    Nasal\n                    <jats:sub>out<\/jats:sub>\n                    \u00a0\u2192\u00a0Nasal\n                    <jats:sub>in<\/jats:sub>\n                    Oral\n                    <jats:sub>out<\/jats:sub>\n                    ). VOCs in inspiratory and alveolar air and respiratory and hemodynamic parameters were monitored quantitatively in parallel. Changing of the breathing routes and patterns immediately affected exhaled VOC concentrations. These changes were reproducible in both setups. In setup-1 cardiac output and acetone concentrations remained constant, while partial pressure of end-tidal CO\n                    <jats:sub>2<\/jats:sub>\n                    (pET-CO\n                    <jats:sub>2<\/jats:sub>\n                    ), isoprene and furan concentrations inversely mirrored tidal-volume and minute-ventilation. H\n                    <jats:sub>2<\/jats:sub>\n                    S (hydrogen-sulphide), C\n                    <jats:sub>4<\/jats:sub>\n                    H\n                    <jats:sub>8<\/jats:sub>\n                    S (allyl-methyl-sulphide), C\n                    <jats:sub>3<\/jats:sub>\n                    H\n                    <jats:sub>8<\/jats:sub>\n                    O (isopropanol) and C\n                    <jats:sub>3<\/jats:sub>\n                    H\n                    <jats:sub>6<\/jats:sub>\n                    O\n                    <jats:sub>2<\/jats:sub>\n                    increased during oral exhalation. C\n                    <jats:sub>4<\/jats:sub>\n                    H\n                    <jats:sub>10<\/jats:sub>\n                    S increased during nasal exhalations. CH\n                    <jats:sub>2<\/jats:sub>\n                    O\n                    <jats:sub>2<\/jats:sub>\n                    steadily decreased during the whole measurement. In setup-2 pET-CO\n                    <jats:sub>2<\/jats:sub>\n                    , C\n                    <jats:sub>2<\/jats:sub>\n                    H\n                    <jats:sub>6<\/jats:sub>\n                    S (dimethyl-sulphide), isopropanol, limonene and benzene concentrations decreased whereas, minute-ventilation, H\n                    <jats:sub>2<\/jats:sub>\n                    S and acetonitrile increased. Isoprene and furan remained unchanged. Breathing route and patterns induced VOC concentration changes depended on respiratory parameters, oral and nasal cavity exposure and physico-chemical characters of the compounds. Before using breath VOC concentrations as biomarkers it is essential that the breathing modality is defined and strictly monitored during sampling.\n                  <\/jats:p>","DOI":"10.1088\/1752-7163\/aa6368","type":"journal-article","created":{"date-parts":[[2017,2,28]],"date-time":"2017-02-28T09:55:04Z","timestamp":1488275704000},"page":"027101","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":60,"title":["Oral or nasal breathing? Real-time effects of switching sampling route onto exhaled VOC concentrations"],"prefix":"10.1088","volume":"11","author":[{"given":"Pritam","family":"Sukul","sequence":"first","affiliation":[{"name":"Rostock Medical Breath Research Analytics and Technologies (ROMBAT), Department of Anaesthesiology and Intensive Care, University Medicine Rostock, Schillingallee 35, Rostock, D-18057,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Oertel","sequence":"additional","affiliation":[{"name":"Rostock Medical Breath Research Analytics and Technologies (ROMBAT), Department of Anaesthesiology and Intensive Care, University Medicine Rostock, Schillingallee 35, Rostock, D-18057,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Svend","family":"Kamysek","sequence":"additional","affiliation":[{"name":"Rostock Medical Breath Research Analytics and Technologies (ROMBAT), Department of Anaesthesiology and Intensive Care, University Medicine Rostock, Schillingallee 35, Rostock, D-18057,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Phillip","family":"Trefz","sequence":"additional","affiliation":[{"name":"Rostock Medical Breath Research Analytics and Technologies (ROMBAT), Department of Anaesthesiology and Intensive Care, University Medicine Rostock, Schillingallee 35, Rostock, D-18057,"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2017,3,20]]},"reference":[{"key":"jbraa6368bib1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0059658","type":"journal-article","article-title":"Rapid \u2018breath-print\u2019 of liver cirrhosis by proton transfer reaction time-of-flight mass spectrometry, a pilot study","volume":"8","author":"Morisco","year":"2013","journal-title":"PLoS One"},{"key":"jbraa6368bib2","doi-asserted-by":"publisher","DOI":"10.1088\/1752-7155\/7\/1\/017110","type":"journal-article","article-title":"First observation of a potential non-invasive breath gas biomarker for kidney function","volume":"7","author":"Kohl","year":"2013","journal-title":"J. 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Real-time effects of switching sampling route onto exhaled VOC concentrations","name":"article_title","label":"Article Title"},{"value":"Journal of Breath Research","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2017 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2016-12-09","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2017-02-28","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2017-03-20","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}