Full metadata
Title
Plasmonic-based imaging detection of chemical reactions
Description
An imaging measurement technique is developed using surface plasmon resonance. Plasmonic-based electrochemical current imaging (P-ECi) method has been developed to image the local electrochemical current optically, it allows us to measure the current density quickly and non-invasively [1, 2]. In this thesis, we solve the problems when we extand the P-ECi technique to the field of thin film system. The P-ECi signal in thin film structure was found to be directly proportional to the electrochemical current. The upper-limit of thin film thickness to use the proportional relationship between P-ECi signal and EC current was discussed by experiment and simulation. Furthermore, a new algorithm which can calculate the current density from P-ECi signal without any thickness limitation is developed and tested. Besides, surface plasmon resonance is useful phenomenon which can be used to detect the changes in the refractive index near the gold sensing surface. With the assistance of pH indicator, by applied EC potential on the gold film as the working electrode, the detection of H2 evolution reaction can be enhanced. This measurement technique is useful in analyzing local EC information and H2 evolution. References [1] S. Wang, et al., "Electrochemical Surface Plasmon Resonance: Basic Formalism and Experimental Validation," Analytical Chemistry, vol. 82, pp. 935-941, 2010/02/01 2010. [2] X. Shan, et al., "Imaging Local Electrochemical Current via Surface Plasmon Resonance," Science, vol. 327, pp. 1363-1366, March 12, 2010 2010.
Date Created
2013
Contributors
- Zhao, Yanjun (Author)
- Tao, Nongjian (Thesis advisor)
- Wang, Shaopeng (Committee member)
- Tsow, Tsing (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
viii, 46 p. : ill. (some col.)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.17940
Statement of Responsibility
by Yen-Chun Chao
Description Source
Viewed on Dec. 10, 2013
Level of coding
full
Note
thesis
Partial requirement for: M.S., Arizona State University, 2013
bibliography
Includes bibliographical references (p. 42-46)
Field of study: Electrical engineering
System Created
- 2013-07-12 06:24:43
System Modified
- 2021-08-30 01:41:30
- 3 years 2 months ago
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