alexa A Novel Approach for Microsensing: Detecting and Identifying Eigenmodes of Sensing Objects | OMICS International | Abstract
ISSN: 2155-9872

Journal of Analytical & Bioanalytical Techniques
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Research Article

A Novel Approach for Microsensing: Detecting and Identifying Eigenmodes of Sensing Objects

Dan T Nguyen* and Robert A Norwood

College of Optical Sciences, University of Arizona, 1630 E. University Boulevard, Tucson, Arizona 85721, USA

*Corresponding Author:
Dan T Nguyen
Research Scientist
College of Optical Sciences University of Arizona
1630 E. University Boulevard
Tucson, Arizona 85721, USA
Tel: 717-531-6618
E-mail: [email protected]

Received Date: April 08, 2014; Accepted Date: May 02, 2014; Published Date: May 06, 2014

Citation: Nguyen DT, Norwood RA (2014) A Novel Approach for Microsensing:Detecting and Identifying Eigenmodes of Sensing Objects. J Anal Bioanal Tech S7:015. doi: 10.4172/2155-9872.S7-015

Copyright: © 2014 Nguyen DT, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


A novel and straight forward approach for analysis of whispering gallery-mode micro cavity sensing is presented using the finite difference time-domain (FDTD) method. The FDTD simulation shows that eigenmodes of sensing objects (SOs) at the micro-scale can be detected as SO signatures, and therefore provide more accurate and robust information on the objects. Thus, detecting eigenmodes as signatures of SOs with WGM microcavities affords a novel biosensing approach based on object recognition. The FDTD simulation not only describes the circulation of the light in a whispering gallery-mode (WGM) microring and multiple interactions between the light and the sensing object, but also other important parameters of the sensing system, such as scattering and radiation losses.


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