Modelling random antibody adsorption and immunoassay activity
One of the primary considerations in immunoassay design is optimizingthe concentrationof capture antibodyin order to achieve maximal antigen binding and, subsequently, improved sensitivityand limit of detection.Many immunoassay technologies involve immobilizationof theantibody to solid surfaces.Anti...
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AIMS Press
2016-07-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2016036 |
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| author | D. Mackey E. Kelly R. Nooney |
| author_facet | D. Mackey E. Kelly R. Nooney |
| author_sort | D. Mackey |
| collection | DOAJ |
| description | One of the primary considerations in immunoassay design is optimizingthe concentrationof capture antibodyin order to achieve maximal antigen binding and, subsequently, improved sensitivityand limit of detection.Many immunoassay technologies involve immobilizationof theantibody to solid surfaces.Antibodies are large molecules in whichthe position and accessibility of the antigen-binding sitedepend on their orientation and packing density. In this paper we propose a simple mathematical model, based on the theoryknown as random sequential adsorption (RSA), in order tocalculate how the concentration ofcorrectly oriented antibodies (active site exposed forsubsequent reactions) evolves during the deposition process.It has been suggested by experimental studies that high concentrationswill decrease assay performance, due to molecule denaturation andobstruction of active binding sites. However, crowding of antibodies can alsohave the opposite effect by favouring upright orientations.A specific aim of our model is topredict which of thesecompeting effects prevails under different experimental conditionsand study the existence of an optimalcoverage, which yields the maximum expectedconcentration of activeparticles (and hence the highest signal). |
| format | Article |
| id | doaj-art-efc48bbdacea4fc6870a8211d463f918 |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2016-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-efc48bbdacea4fc6870a8211d463f9182025-01-24T02:37:49ZengAIMS PressMathematical Biosciences and Engineering1551-00182016-07-011361159116810.3934/mbe.2016036Modelling random antibody adsorption and immunoassay activityD. Mackey0E. Kelly1R. Nooney2School of Mathematical Sciences, Dublin Institute of Technology, Kevin Street, Dublin 8School of Mathematical Sciences, Dublin Institute of Technology, Kevin Street, Dublin 8Biomedical Diagnostics Institute, Dublin City University, Glasnevin, Dublin 9One of the primary considerations in immunoassay design is optimizingthe concentrationof capture antibodyin order to achieve maximal antigen binding and, subsequently, improved sensitivityand limit of detection.Many immunoassay technologies involve immobilizationof theantibody to solid surfaces.Antibodies are large molecules in whichthe position and accessibility of the antigen-binding sitedepend on their orientation and packing density. In this paper we propose a simple mathematical model, based on the theoryknown as random sequential adsorption (RSA), in order tocalculate how the concentration ofcorrectly oriented antibodies (active site exposed forsubsequent reactions) evolves during the deposition process.It has been suggested by experimental studies that high concentrationswill decrease assay performance, due to molecule denaturation andobstruction of active binding sites. However, crowding of antibodies can alsohave the opposite effect by favouring upright orientations.A specific aim of our model is topredict which of thesecompeting effects prevails under different experimental conditionsand study the existence of an optimalcoverage, which yields the maximum expectedconcentration of activeparticles (and hence the highest signal).https://www.aimspress.com/article/doi/10.3934/mbe.2016036random sequential adsorptionantibody activity.immunoassaysimmobilized particles |
| spellingShingle | D. Mackey E. Kelly R. Nooney Modelling random antibody adsorption and immunoassay activity Mathematical Biosciences and Engineering random sequential adsorption antibody activity. immunoassays immobilized particles |
| title | Modelling random antibody adsorption and immunoassay activity |
| title_full | Modelling random antibody adsorption and immunoassay activity |
| title_fullStr | Modelling random antibody adsorption and immunoassay activity |
| title_full_unstemmed | Modelling random antibody adsorption and immunoassay activity |
| title_short | Modelling random antibody adsorption and immunoassay activity |
| title_sort | modelling random antibody adsorption and immunoassay activity |
| topic | random sequential adsorption antibody activity. immunoassays immobilized particles |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2016036 |
| work_keys_str_mv | AT dmackey modellingrandomantibodyadsorptionandimmunoassayactivity AT ekelly modellingrandomantibodyadsorptionandimmunoassayactivity AT rnooney modellingrandomantibodyadsorptionandimmunoassayactivity |