Surface plasmon resonance-based inhibition assay for real-time detection of Cryptosporidium parvum oocyst
- Authors
- Kang, Chang Duk; Cao, Cuong; Lee, Jeewon; Choi, Insung S.; Kim, Byung Woo; Sim, Sang Jun
- Issue Date
- 3월-2008
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Cryptosporidium parvum; inhibition assay; real-time detection; surface plasmon resonance (SPR); self-assembled monolayer (SAM)
- Citation
- WATER RESEARCH, v.42, no.6-7, pp.1693 - 1699
- Indexed
- SCIE
SCOPUS
- Journal Title
- WATER RESEARCH
- Volume
- 42
- Number
- 6-7
- Start Page
- 1693
- End Page
- 1699
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/123949
- DOI
- 10.1016/j.watres.2007.10.023
- ISSN
- 0043-1354
- Abstract
- A surface plasmon resonance (SPR)-based inhibition assay method using a polyclonal antimouse IgM arrayed Cryptosporidium sensor chip was developed for the real-time detection of Cryptosporidium parvum oocysts. The Cryptosporidium sensor chip was fabricated by subsequent immobilization of streptavidin and polyclonal anti-mouse IgM (secondary antibody) onto heterogeneous self-assembled monolayers (SAMs). The assay consisted of the immunoreaction step between monoclonal and-C. parvurn oocyst (primary antibody) and oocysts, followed by the binding step of the unbound primary antibody onto the secondary antibody surface. It enhanced not only the immunoreaction yield of the oocysts by batch reaction but also the accessibility of analytes to the chip surface by antibodyantibody interaction. Furthermore, the use of optimum concentration of the primary antibody maximized its binding response on the chip. An inversely linear calibration curve for the oocyst concentration versus SPR signal was obtained in the range of 1 x 10(6)-1 x 10(2) oocysts ml(-1). The oocyst detection was also successfully achieved in natural water systems. These results indicate that the SPR-based inhibition assay using the Cryptosporidium sensor chip has high application potential for the real-time analysis of C. parvum oocyst in laboratory and field water monitoring. (c) 2007 Elsevier Ltd. All rights reserved.
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Collections - College of Engineering > Department of Chemical and Biological Engineering > 1. Journal Articles
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