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dc.contributorkleykajd@muohio.eduen_US
dc.contributor.advisorBayram, Burcinen_US
dc.contributor.authorKleykamp, Jeffreyen_US
dc.date2012-04-30en_US
dc.date.accessioned2012-04-30T21:15:11Zen_US
dc.date.accessioned2014-04-15T13:27:16Z
dc.date.available2012-04-30T21:15:11Zen_US
dc.date.available2014-04-15T13:27:16Z
dc.date.issued2012-04-30en_US
dc.identifier.urihttp://hdl.handle.net/2374.MDLC/12097en_US
dc.description.abstractAccording to a study by the American Diabetes Association, 171 million people or 2.8% of people in the world suffered from diabetes. It is important to get more information about blood sugar levels which would allow them to better control their blood sugar levels and help reduce complications. This project was motivated by similar work recently studied by a MIT group. This project uses a simulation of Raman spectroscopy to calculate the glucose content of the simulated blood. Specifically, we back out how much glucose is in our simulated sample and quantitatively understand error within the analysis.en_US
dc.relation.ispartofPhysics (major)en_US
dc.subjectGlucoseen_US
dc.subjectRaman spectroscopyen_US
dc.subjectSimulationen_US
dc.titleInvestigation of the use of Raman Spectroscopy for Non-invasive Glucose Calculation in Blooden_US


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