Immobilizing affinity proteins to nitrocellulose: a toolbox for paper-based assay developers

被引:0
|
作者
Carly A. Holstein
Aaron Chevalier
Steven Bennett
Caitlin E. Anderson
Karen Keniston
Cathryn Olsen
Bing Li
Brian Bales
David R. Moore
Elain Fu
David Baker
Paul Yager
机构
[1] University of Washington,Department of Bioengineering
[2] University of Washington,Department of Biochemistry
[3] General Electric Global Research Center,School of Chemical, Biological, and Environmental Engineering
[4] Oregon State University,undefined
来源
Analytical and Bioanalytical Chemistry | 2016年 / 408卷
关键词
Paper-based assays; Protein immobilization; Protein engineering; Nitrocellulose;
D O I
暂无
中图分类号
学科分类号
摘要
To enable enhanced paper-based diagnostics with improved detection capabilities, new methods are needed to immobilize affinity reagents to porous substrates, especially for capture molecules other than IgG. To this end, we have developed and characterized three novel methods for immobilizing protein-based affinity reagents to nitrocellulose membranes. We have demonstrated these methods using recombinant affinity proteins for the influenza surface protein hemagglutinin, leveraging the customizability of these recombinant “flu binders” for the design of features for immobilization. The three approaches shown are: (1) covalent attachment of thiolated affinity protein to an epoxide-functionalized nitrocellulose membrane, (2) attachment of biotinylated affinity protein through a nitrocellulose-binding streptavidin anchor protein, and (3) fusion of affinity protein to a novel nitrocellulose-binding anchor protein for direct coupling and immobilization. We also characterized the use of direct adsorption for the flu binders, as a point of comparison and motivation for these novel methods. Finally, we demonstrated that these novel methods can provide improved performance to an influenza hemagglutinin assay, compared to a traditional antibody-based capture system. Taken together, this work advances the toolkit available for the development of next-generation paper-based diagnostics.
引用
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页码:1335 / 1346
页数:11
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