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BP: Fachverband Biologische Physik
BP 50: Biotechnology and bioengineering
BP 50.5: Vortrag
Donnerstag, 19. März 2015, 18:30–18:45, H 1058
IR-Spectroscopy and Multivariate Data Analysis in Point of Care Testing — •Anja Niedermayr1,2, Peter B. Luppa3, Carsten Giebeler4, and Alexander M. Gigler1,2,5 — 1Siemens AG, Corporate Technology, Otto-Hahn-Ring 6, 81739 München — 2Sect. Crystallography, LMU München, Theresienstr. 41, 80333 München — 3Klinikum rechts der Isar, TU München, Clinical Chemistry and Pathobiochemistry, Ismaninger Str. 22, 81675 München — 4Pyreos Ltd., Scottish Micro Electronics Centre, West Mains Road, Edinburgh EH9 3JF, Scotland, UK — 5Center for NanoScience (CeNS), LMU München, Schellingstr. 4, 80799 Munich
In medicine, an early decision on the right course of treatment can make the difference between life and death. Therefore, the rapid availability of test results is crucial. Devices that facilitate medical testing at or near the point of patient care (Point-of-care Testing, POCT) significantly reduce the turn around time. This will become increasingly relevant in modern day diagnosis and therapy. At this point, parallel POCT is available for only few parameters since every single analyte requires a highly specific indicator substance. Infrared spectroscopy enables a marker free, parallel analysis of various medical parameters in one unaltered sample. In combination with multivariate statistical modeling a precise quantitative prediction of the investigated substances can be achieved. The prediction's accuracy and reliability critically depends on the statistical method used to set up the model. Here, initial results of our study on the determination of selected high-content blood ingredients, i.e. alcohol and albumin, will be shown.