Title :
Characterization of anhydrous silanization and antibody immobilization on silicon dioxide surface
Author :
Joshi, Madhura ; Goyal, M. ; Pinto, R. ; Mukherji, Soumyo
Author_Institution :
Sch. of Biosci. & Bioeng., Indian Inst. of Technol. Bombay, Mumbai
Abstract :
Formation of uniform and cluster free silane monolayer is one of the fundamental prerequisite for affinity cantilever based biosensors. We report anhydrous silanization protocol for uniform silane monolayer on silicon dioxide (SiO2) surface using [3-(2-aminoethyl) aminopropyl)-trimethoxysilane (APTES) and characterized by AFM, spectroscopic ellipsometry and FTIR. Silanization coverage is controlled by availability of surface water. The roughness of the resulting silanized surface following our protocol is in the range of SiO2 surface roughness. Silanized SiO2 surface is used to immobilize human immunoglobulin (HIgG) on it. FITC tagged goat antihuman IgG is allowed to react with HIgG. The immobilized surface is further characterized using fluorescent spectroscopy and fluorescent microscope. Characterization results obtained from anhydrous silanization protocol are compared with the conventional aqueous silanization protocol
Keywords :
Fourier transform spectra; atomic force microscopy; biosensors; cantilevers; ellipsometry; fluorescence; infrared spectra; molecular biophysics; optical microscopy; proteins; silicon compounds; surface roughness; surface treatment; AFM; FITC tagged goat antihuman IgG; FTIR; SiO2; [3-(2-aminoethyl) aminopropyl)-trimethoxysilane; affinity cantilever based biosensors; anhydrous silanization; antibody immobilization; fluorescent microscope; fluorescent spectroscopy; human immunoglobulin immobilization; silicon dioxide surface; spectroscopic ellipsometry; surface roughness; uniform cluster free silane monolayer; Biosensors; Ellipsometry; Fluorescence; Humans; Immune system; Protocols; Rough surfaces; Silicon compounds; Spectroscopy; Surface roughness; APTES; FITC; affinity cantilever; silanization;
Conference_Titel :
Computer Architectures for Machine Perception, 2003 IEEE International Workshop on
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-8612-4
DOI :
10.1109/ISSMD.2004.1689550
