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Experimental Validation of the Sensitivity of Waveguide Grating Based Refractometric (Bio)sensors
Thomas E Gartmann1, Florian Kehl2,3,4
1CSEM Centre Suisse d'Electronique et de Microtechnique SA, Bahnhofstrasse 1, Landquart CH-7302, Switzerland. thomas.gartmann@csem.ch.
Biosensors
|April 15, 2015
Summary
This study experimentally confirms waveguide grating sensor sensitivity across various conditions, validating theoretical predictions for refractometric sensing applications.
Area of Science:
- Photonics and Sensing Technologies
- Optical Biosensors
- Waveguide Optics
Background:
- Theoretical models for waveguide grating (bio)sensor sensitivity have existed for decades.
- Experimental validation of these models across diverse parameters is lacking.
- Refractive index sensing is crucial for various scientific and industrial applications.
Purpose of the Study:
- To experimentally determine the bulk refractive index sensitivity of waveguide grating sensors.
- To compare experimental results with theoretical predictions.
- To investigate sensitivity across multiple film thicknesses, wavelengths, and light polarizations.
Main Methods:
- Experimental determination of effective refractive indices and sensitivity using coupling angles.
- Measurements conducted at various cover refractive indices.
- Utilized transverse electric (TE) and transverse magnetic (TM) polarized light across visible and near-infrared wavelengths.
- Theoretical sensitivity calculated by solving the waveguide mode equation for a three-layer system.
Main Results:
- Experimental confirmation of waveguide sensitivity for multiple film thicknesses, wavelengths, and polarizations.
- Demonstrated good agreement between experimental data and theoretical predictions.
- Quantified the relationship between bulk refractive index sensitivity and waveguide thickness.
Conclusions:
- Experimental validation of waveguide grating sensor theory across a range of parameters.
- The study provides crucial experimental data for the design and optimization of refractometric sensors.
- Confirms the reliability of theoretical models for predicting sensor performance.

