Biophysical characterization of the molecular orientation of an antibody-immobilized layer using secondary ion mass spectrometry
- Authors
- Cho, Il-Hoon; Park, Ji-Won; Lee, Tae Geol; Lee, Haiwon; Paek, Se-Hwan
- Issue Date
- 2011
- Publisher
- ROYAL SOC CHEMISTRY
- Citation
- ANALYST, v.136, no.7, pp.1412 - 1419
- Indexed
- SCIE
SCOPUS
- Journal Title
- ANALYST
- Volume
- 136
- Number
- 7
- Start Page
- 1412
- End Page
- 1419
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/114880
- DOI
- 10.1039/c0an00672f
- ISSN
- 0003-2654
- Abstract
- The molecular orientation of antibody layers formed on separate solid matrices (e. g., gold-coated glass substrate) was characterized by means of time-of-flight secondary ion mass spectrometry (ToF-SIMS) in static mode. For comparison, three different antibody species, IgG, F(ab')(2), and Fab, were prepared, biotinylated in random and site-directed fashions, and immobilized on distinct streptavidin-coated surfaces. ToF-SIMS analyses of each antibody layer revealed that the secondary ion intensity peaks measured at the mass-to-charge (m/z) ratio 253, 325, and 647 were unique to the site-directly immobilized antibodies. The ions in the three peaks were detected neither from the streptavidin layer nor from the randomly prepared antibody, indicating that the insolubilized antibody layers constructed in the two different manners had distinct molecular arrangements. The antibody preparations were further tested for their binding characteristics in sandwich-type immunoassays, which showed that the site-directed antibodies consistently enhanced the detection capability comparing to those randomly prepared. Based on the analytical results of both the ToF-SIMS analysis and sandwich-type immunoassays, the site-directed antibody species were immobilized on the surfaces in a more orientated manner, with their antigen binding sites exposed to the bulk solution, than when random immobilization was used.
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Collections - College of Science and Technology > Department of Biotechnology and Bioinformatics > 1. Journal Articles
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