2015
DOI: 10.1109/jsen.2015.2475610
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Flow Confinement Enhancement of Heterogeneous Immunoassays in Microfluidics

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Cited by 34 publications
(39 citation statements)
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“…As expected, the rise in the bulk analyte concentration results in a growth of the biomolecule target quantities trapped on the sensitive surface. The numerical results are in a good agreement with the results reported by Yang et al [13] and Selmi et al [14], where there is a complex quantity formation on the sensitive surface as a function of analyte concentration.…”
Section: Binding Kinetics Of Protein Crpsupporting
confidence: 89%
See 1 more Smart Citation
“…As expected, the rise in the bulk analyte concentration results in a growth of the biomolecule target quantities trapped on the sensitive surface. The numerical results are in a good agreement with the results reported by Yang et al [13] and Selmi et al [14], where there is a complex quantity formation on the sensitive surface as a function of analyte concentration.…”
Section: Binding Kinetics Of Protein Crpsupporting
confidence: 89%
“…Currently, many scientific researchers are developing various strategies to enhance the mass transport in microfluidic systems and improve the achievement of the target antigen to the sensitive surface. For example, Selmi et al [14] developed a two-dimensional microfluidic confinement device for CRP detection, where the confinement flow velocity grew to enhance the binding rate. Also, Hofmann et al [8] suggested a three dimensional microfluidic for immunoassays on a planar waveguide application, where a sample flow was joined with the perpendicular flow of a sample medium.…”
Section: Introductionmentioning
confidence: 99%
“…16 Convective-driven immunosorbent assays function through analyte complexation at antibody-functionalized addresses, 46 typically under nonequilibrium conditions. 47 Depending on binding kinetics, this process may not necessarily be transport limited and results in constantly changing address areas and analyte affinity, and depleted protein concentrations ( C o ) at downstream addresses.…”
Section: Discussionmentioning
confidence: 99%
“…There was no significant difference between the curves obtained using these grids (6818, 13643, 27719, 53534 elements) and we may conclude that the numerical convergence has been reached with all the grids. In the results section, all simulations were done with a total elements number 13645 [30,31].…”
Section: A Mesh Sensitivitymentioning
confidence: 99%