Literature DB >> 19361154

Modeling of a competitive microfluidic heterogeneous immunoassay: sensitivity of the assay response to varying system parameters.

Elain Fu1, Kjell E Nelson, Stephen A Ramsey, Jennifer O Foley, Kristen Helton, Paul Yager.   

Abstract

We present a fractional sensitivity analysis of a competitive microfluidic heterogeneous immunoassay for a small molecule analyte. A simple two-dimensional finite element model is used to determine the fractional sensitivity of the assay signal with respect to analyte concentration, flow rate, initial surface density of binding sites, and antibody concentration. The fractional sensitivity analysis can be used to identify (1) the system parameters for which it is most crucial to control or quantify the variability between assays and (2) operating ranges for these parameters that improve assay sensitivity (within the constraints of the experimental system). Experimental assay results for the drug phenytoin, obtained using surface plasmon resonance imaging, are shown to be consistent with the predictions of the model.

Mesh:

Year:  2009        PMID: 19361154     DOI: 10.1021/ac802672v

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  5 in total

1.  SlipChip for immunoassays in nanoliter volumes.

Authors:  Weishan Liu; Delai Chen; Wenbin Du; Kevin P Nichols; Rustem F Ismagilov
Journal:  Anal Chem       Date:  2010-04-15       Impact factor: 6.986

2.  Modeling analyte transport and capture in porous bead sensors.

Authors:  Jie Chou; Alexis Lennart; Jorge Wong; Mehnaaz F Ali; Pierre N Floriano; Nicolaos Christodoulides; James Camp; John T McDevitt
Journal:  Anal Chem       Date:  2012-02-09       Impact factor: 6.986

3.  Effects of sample delivery on analyte capture in porous bead sensors.

Authors:  Jie Chou; Luanyi E Li; Eliona Kulla; Nicolaos Christodoulides; Pierre N Floriano; John T McDevitt
Journal:  Lab Chip       Date:  2012-12-21       Impact factor: 6.799

Review 4.  Small molecule immunosensing using surface plasmon resonance.

Authors:  John Mitchell
Journal:  Sensors (Basel)       Date:  2010-08-04       Impact factor: 3.576

5.  NutriPhone: a mobile platform for low-cost point-of-care quantification of vitamin B12 concentrations.

Authors:  Seoho Lee; Dakota O'Dell; Jess Hohenstein; Susannah Colt; Saurabh Mehta; David Erickson
Journal:  Sci Rep       Date:  2016-06-15       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.