{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T00:15:30Z","timestamp":1776903330099,"version":"3.51.2"},"reference-count":33,"publisher":"American Physiological Society","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Physiology"],"published-print":{"date-parts":[[2013,10,15]]},"abstract":"<jats:p>The mismatching of alveolar ventilation and perfusion (V<jats:sub>A<\/jats:sub>\/Q) is the major determinant of impaired gas exchange. The gold standard for measuring V<jats:sub>A<\/jats:sub>\/Q distributions is based on measurements of the elimination and retention of infused inert gases. Conventional multiple inert gas elimination technique (MIGET) uses gas chromatography (GC) to measure the inert gas partial pressures, which requires tonometry of blood samples with a gas that can then be injected into the chromatograph. The method is laborious and requires meticulous care. A new technique based on micropore membrane inlet mass spectrometry (MMIMS) facilitates the handling of blood and gas samples and provides nearly real-time analysis. In this study we compared MIGET by GC and MMIMS in 10 piglets: 1) 3 with healthy lungs; 2) 4 with oleic acid injury; and 3) 3 with isolated left lower lobe ventilation. The different protocols ensured a large range of normal and abnormal V<jats:sub>A<\/jats:sub>\/Q distributions. Eight inert gases (SF<jats:sub>6<\/jats:sub>, krypton, ethane, cyclopropane, desflurane, enflurane, diethyl ether, and acetone) were infused; six of these gases were measured with MMIMS, and six were measured with GC. We found close agreement of retention and excretion of the gases and the constructed V<jats:sub>A<\/jats:sub>\/Q distributions between GC and MMIMS, and predicted Pa<jats:sub>O<jats:sub>2<\/jats:sub><\/jats:sub>from both methods compared well with measured Pa<jats:sub>O<jats:sub>2<\/jats:sub><\/jats:sub>. V<jats:sub>A<\/jats:sub>\/Q by GC produced more widely dispersed modes than MMIMS, explained in part by differences in the algorithms used to calculate V<jats:sub>A<\/jats:sub>\/Q distributions. In conclusion, MMIMS enables faster measurement of V<jats:sub>A<\/jats:sub>\/Q, is less demanding than GC, and produces comparable results.<\/jats:p>","DOI":"10.1152\/japplphysiol.00072.2013","type":"journal-article","created":{"date-parts":[[2013,7,19]],"date-time":"2013-07-19T04:53:23Z","timestamp":1374209603000},"page":"1107-1118","source":"Crossref","is-referenced-by-count":19,"title":["Multiple inert gas elimination technique by micropore membrane inlet mass spectrometry\u2014a comparison with reference gas chromatography"],"prefix":"10.1152","volume":"115","author":[{"given":"Moritz","family":"Kretzschmar","sequence":"first","affiliation":[{"name":"Department of Surgical Sciences, Anesthesia and Intensive Care, Uppsala University, Uppsala, Sweden;"},{"name":"Department of Anesthesiology and Intensive Care Medicine, University Clinic, Otto von Guericke University, Magdeburg, Germany;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Schilling","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Intensive Care Medicine, University Clinic, Otto von Guericke University, Magdeburg, Germany;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Vogt","sequence":"additional","affiliation":[{"name":"Department of Anaesthesiology and Pain Therapy, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans Ulrich","family":"Rothen","sequence":"additional","affiliation":[{"name":"Department of Intensive Care Medicine, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jo\u00e3o Batista","family":"Borges","sequence":"additional","affiliation":[{"name":"Department of Surgical Sciences, Anesthesia and Intensive Care, Uppsala University, Uppsala, Sweden;"},{"name":"Pulmonary Division, Heart Institute (Incor) Hospital das Cl\u00ednicas da Faculdade de Medicina da Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brazil;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Hachenberg","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Intensive Care Medicine, University Clinic, Otto von Guericke University, Magdeburg, Germany;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anders","family":"Larsson","sequence":"additional","affiliation":[{"name":"Department of Surgical Sciences, Anesthesia and Intensive Care, Uppsala University, Uppsala, Sweden;"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James E.","family":"Baumgardner","sequence":"additional","affiliation":[{"name":"Oscillogy LLC, Folsom, Pennsylvania; and"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00f6ran","family":"Hedenstierna","sequence":"additional","affiliation":[{"name":"Department of Medical Sciences, Clinical Physiology, Uppsala University, Uppsala, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"24","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1136\/thx.49.9.924"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.3109\/00365516009062419"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1152\/jappl.2000.89.5.1699"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1002\/jms.1190300407"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1177\/096228029900800204"},{"key":"B6","unstructured":"Conover WJ.Practical Nonparametric Statistics. 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