Nitrocellulose membrane comprising non-covalently attached organic nanostructured molecule
AssigneeNB Postech
InventorsJoon Won Park, Sung Min Seo
Life of this patent
Estimating the term…
Loading patent…
AssigneeNB Postech
InventorsJoon Won Park, Sung Min Seo
Estimating the term…
The present invention provides an improved method of quantitative and/or qualitative analysis of a target molecule using nitrocellulose membrane (NCM). In particular, the present invention provides a porous nitrocellulose membrane that includes a surface and an organic nanostructured molecule that is non-covalently attached to the surface of NCM. The organic nanostructured molecule has a branched region that includes a plurality of terminal region (e.g., terminal end) moieties that are non-covalently attached or bound to a surface of the porous NCM. The organic nanostructured molecule also comprises a linear region that includes a covalently attached capture molecule that is adapted to selectively bind to a target molecule. The NCM of the invention provides an improved reproducibility, reliability, and selectivity compared an NCM in the absence of the organic nanostructured molecule.
A lateral flow assay kit for detecting a presence of a target molecule in a sample, said literal flow assay kit comprising a porous nitrocellulose membrane, wherein a surface of said porous nitrocellulose membrane comprises a non-covalently attached organic nanostructure compound comprising a plurality of terminal end moieties that are non-covalently attached to said nitrocellulose membrane surface, and wherein said organic nanostructure compound further comprises a covalently bound capture molecule, wherein said organic nanostructure comprises:
A method for producing a lateral flow assay kit comprising a porous nitrocellulose membrane adapted for detecting a presence of a target molecule in a sample, said method comprising:
A porous nitrocellulose membrane comprising a surface and a non-covalently immobilized organic nanostructured molecule of the formula:
Dependencies are inferred from the claim text.