Abstract
Chemical sensors based on optical microresonators have been demonstrated highly sensitive by monitoring the refractive index (RI) changes in the surrounding area near the resonator surface. In an optical resonator, the Whispering Gallery Modes (WGMs) with high quality (Q) factor supported by the spherical symmetric structure interacts with the contiguous background through evanescent field. Highly sensitive detection can be realized because of the long lifetime of the photons. The computational models of solid glass microspheres and hollow glass spheres with porous wall (PW-HGM) were established. These two types of microresonators were studied through simulations. The PWHGM resonator was proved as an optimal chemical sensor and verified by experiments and compared for chemical vapor detection. The simulation and experimental results agreed well in the sensing trends for PW-HGM microresonator.
Recommended Citation
H. Wang et al., "Computational Modeling and Experimental Study on Optical Microresonators using Optimal Spherical Structure for Chemical Sensing," Advanced Chemical Engineering Research, vol. 2, no. 3, pp. 45 - 50, Science and Engineering Publishing Company, Sep 2013.
Department(s)
Electrical and Computer Engineering
Second Department
Nuclear Engineering and Radiation Science
Third Department
Mechanical and Aerospace Engineering
Sponsor(s)
United States. Army Research Office
Keywords and Phrases
Whispering Gallery Modes; Microresonator; Computational Model; Simulation; Porous Wall; Chemical Sensor
International Standard Serial Number (ISSN)
2326-5671; 2326-5647
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2013 Science and Engineering Publishing Company, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Sep 2013
Included in
Electrical and Computer Engineering Commons, Mechanical Engineering Commons, Nuclear Engineering Commons
Comments
This research work was supported by research funding provided by U.S. Army Research Office (ARO) under contract: W911NF-10-2-0077.