Literature DB >> 15522607

Detection of insulin-antibody binding on a solid surface using imaging ellipsometry.

Young Min Bae1, Byung-Keun Oh, Woochang Lee, Won Hong Lee, Jeong-Woo Choi.   

Abstract

Imaging ellipsometry (IE) was used to detect the binding of insulin to its antibody on a solid surface. The modification of a gold surface with 11-mecaptoundecanoic acid (11-MUA), the adsorption of protein G, and antibody immobilization onto the protein G layer were confirmed by surface plasmon resonance. Ellipsometric images and ellipsometric angles of the surface antibody were acquired using the IE system by off-null ellipsometry. Ellipsometric images of antigen binding to the antibody were acquired, and their mean optical intensities estimated. Changes in mean optical intensity indicated that the detection range for insulin was from 10 ng/ml to 100 microg/ml.

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Year:  2004        PMID: 15522607     DOI: 10.1016/j.bios.2004.03.032

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  5 in total

Review 1.  Electrochemical and surface plasmon insulin assays on clinical samples.

Authors:  Vini Singh; Sadagopan Krishnan
Journal:  Analyst       Date:  2018-03-26       Impact factor: 4.616

2.  Integrating sensing hydrogel microstructures into micropatterned hepatocellular cocultures.

Authors:  Ji Youn Lee; Sunny S Shah; Jun Yan; Michael C Howland; Atul N Parikh; Tingrui Pan; Alexander Revzin
Journal:  Langmuir       Date:  2009-04-09       Impact factor: 3.882

Review 3.  Molecular Recognition and Specific Interactions for Biosensing Applications.

Authors:  Dong Chung Kim; Dae Joon Kang
Journal:  Sensors (Basel)       Date:  2008-10-23       Impact factor: 3.576

4.  Interface design for CMOS-integrated Electrochemical Impedance Spectroscopy (EIS) biosensors.

Authors:  Arun Manickam; Christopher Andrew Johnson; Sam Kavusi; Arjang Hassibi
Journal:  Sensors (Basel)       Date:  2012-10-29       Impact factor: 3.576

Review 5.  Aptamer-Based Technologies in Foodborne Pathogen Detection.

Authors:  Jun Teng; Fang Yuan; Yingwang Ye; Lei Zheng; Li Yao; Feng Xue; Wei Chen; Baoguang Li
Journal:  Front Microbiol       Date:  2016-09-12       Impact factor: 5.640

  5 in total

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