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contributor authorAloke Kumar
contributor authorVenu M. Gorti
contributor authorHao Shang
contributor authorGil U. Lee
contributor authorNung Kwan Yip
contributor authorSteve T. Wereley
date accessioned2017-05-09T00:28:17Z
date available2017-05-09T00:28:17Z
date copyrightNovember, 2008
date issued2008
identifier issn0098-2202
identifier otherJFEGA4-27345#111401_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/138144
description abstractOptical diffusometry is a technique used for measuring diffusion. This work explores the possibility of directly measuring diffusion coefficients of submicron particles for pathogen detection. The diffusion coefficient of these particles is a function of the drag coefficient of the particle at constant temperatures. Particles introduced into a sample containing an analyte bind with the analyte if functionalized with the appropriate antibodies. This leads to an increase in the hydrodynamic drag of the particles and hence a decrease in their diffusion coefficient. This study uses the above principle to effectively measure the diffusion coefficient of the particles using two different experimental approaches. The measured reduction in the diffusion coefficient can be correlated to the amount of analyte present and thus forms the basis of biological agent detection. Sensitivity to experimental conditions is analyzed. It is observed that alternative techniques such as optical trapping hold promise: the diffusive behavior of particles in optical traps is found to be quantitatively different from that of a free particle. Hence preconditions are identified to make optical trapping appropriate for agent detection.
publisherThe American Society of Mechanical Engineers (ASME)
titleOptical Diffusometry Techniques and Applications in Biological Agent Detection
typeJournal Paper
journal volume130
journal issue11
journal titleJournal of Fluids Engineering
identifier doi10.1115/1.2969430
journal fristpage111401
identifier eissn1528-901X
keywordsDiffusion (Physics)
keywordsParticulate matter AND Biological agents
treeJournal of Fluids Engineering:;2008:;volume( 130 ):;issue: 011
contenttypeFulltext


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