{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T04:31:51Z","timestamp":1771475511478,"version":"3.50.1"},"reference-count":19,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2011,6,1]],"date-time":"2011-06-01T00:00:00Z","timestamp":1306886400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This work is about gas biosensing with a cytochrome c biosensor. Emphasis is put on the analysis of the sensing process and a mathematical model to make predictions about the biosensor response. Reliable predictions about biosensor responses can provide valuable information and facilitate biosensor development, particularly at an early development stage. The sensing process comprises several individual steps, such as phase partition equilibrium, intermediate reactions, mass-transport, and reaction kinetics, which take place in and between the gas and liquid phases. A quantitative description of each step was worked out and finally combined into a mathematical model. The applicability of the model was demonstrated for a particular example of methanethiol gas detection by a cytochrome c biosensor. The model allowed us to predict the optical readout response of the biosensor from tabulated data and data obtained in simple liquid phase experiments. The prediction was experimentally verified with a planar three-electrode electro-optical cytochrome c biosensor in contact with methanethiol gas in a gas tight spectroelectrochemical measurement cell.<\/jats:p>","DOI":"10.3390\/s110605968","type":"journal-article","created":{"date-parts":[[2011,6,1]],"date-time":"2011-06-01T11:38:46Z","timestamp":1306928326000},"page":"5968-5980","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Cytochrome C Biosensor\u2014A Model for Gas Sensing"],"prefix":"10.3390","volume":"11","author":[{"given":"Michael","family":"Hulko","sequence":"first","affiliation":[{"name":"Sony Deutschland GmbH, Materials Science Laboratory, Hedelfinger Strasse 61, 70327 Stuttgart, Germany"}]},{"given":"Ingeborg","family":"Hospach","sequence":"additional","affiliation":[{"name":"Sony Deutschland GmbH, Materials Science Laboratory, Hedelfinger Strasse 61, 70327 Stuttgart, Germany"}]},{"given":"Nadejda","family":"Krasteva","sequence":"additional","affiliation":[{"name":"Sony Deutschland GmbH, Materials Science Laboratory, Hedelfinger Strasse 61, 70327 Stuttgart, Germany"}]},{"given":"Gabriele","family":"Nelles","sequence":"additional","affiliation":[{"name":"Sony Deutschland GmbH, Materials Science Laboratory, Hedelfinger Strasse 61, 70327 Stuttgart, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2011,6,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"475","DOI":"10.14219\/jada.archive.1996.0239","article-title":"Clinical assessment of bad breath: Current concepts","volume":"127","author":"Rosenberg","year":"1996","journal-title":"J. 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