Reaction-diffusion modelling for microphysiometry on cellular specimens.
Using modeling and simulation, we quantify the influence of spatiotemporal dynamics on the accuracy of data obtained from sensors placed in microscaled reaction volumes. The model refers to cellular reaction (i.e. proton extrusion and oxygen consumption) in complex, buffering solutions. Whole cells...
| Published in: | Medical & Biological Engineering & Computing Vol. 51; no. 4; pp. 387 - 396 |
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| Main Authors: | , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Apr2013
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104247025&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104247025 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2013 vid: 51 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104247025 NLM23203682 2012034937 10.1007/s11517-012-1007-4 NLM23203682 104247025 ppf: 387 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Reaction-diffusion modelling for microphysiometry on cellular specimens. aug: au: Grundl, Daniel Zhang, Xiaorui Messaoud, Safa Pfister, Cornelia Demmel, Franz Mommer, Mario S Wolf, Bernhard Brischwein, Martin affil: Department Heinz Nixdorf-Lehrstuhl Medizinische Elektronik, Technische Universität München, Theresienstrasse 90/N3, 80333, Munich, Germany. sug: subj: Cytological Techniques Equipment and Supplies Metabolism Models, Biological Oxygen Metabolism Computer Simulation Cytological Techniques Methods Diffusion Finite Element Analysis Hydrogen-Ion Concentration Kinetics Reproducibility of Results ab: Using modeling and simulation, we quantify the influence of spatiotemporal dynamics on the accuracy of data obtained from sensors placed in microscaled reaction volumes. The model refers to cellular reaction (i.e. proton extrusion and oxygen consumption) in complex, buffering solutions. Whole cells or viable tissues cultured in such devices are monitored in real time with integrated sensors for pH and dissolved oxygen. A 3D finite element model of diffusion and metabolic reaction was set up. With respect to pH, the effect of buffering species on proton diffusion is analysed in detail. To account for the delayed time response of real sensors, the sensor impulse response time was implemented by linear convolution. A validation of the model has been achieved by an electrochemical approach. The model reveals significant deviations of measured pH and O2, and values of these parameters actually occurring at different sites of the cell culture volume. It is applicable to any setting of (bio-) sensors involving reaction and diffusion of dissolved gases and particularly H(+) ions in buffered solutions. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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