Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Surface plasmon interferometer in silicon-on-insulator: novel concept for an integrated biosensor: Reply

Open Access Open Access

Abstract

We provide further details on the calculation method used in the paper “Surface plasmon interferometer in silicon-on-insulator: novel concept for an integrated biosensor” [Opt. Express 14, 7063–7072 (2006)]. Contrary to the claims made in the Comment [Opt. Express 15, 13649–13650 (2007)], the method used does take radiation modes into account and can therefore handle the recapture of optical power from these modes. Convergence studies are provided to support our calculations.

©2007 Optical Society of America

1. Introduction

In the comment [2], the authors claim that the performance of the device we described in [1] will degrade once the recapture of power from radiation modes is taken into account. While it is true that we provided a simple physical explanation of the workings of the device based only on two guided modes, we do want to stress again that, as explicitly stated in section 4 of our original paper, all our numerical results for the sensitivity curves were obtained using full-wave calculations. Our method does take radiation modes into account, because we agree with the authors of the comment [2] that these must not be neglected.

2. Calculation method

Our sensitivity curves were obtained using an in-house developed full-wave eigenmode solver [3]. This method was briefly described in section 4 of our original paper [1], which also contained further references on the model [4]. To reiterate the points which are relevant for the current discussion, the method used is based on eigenmode expansion whereby the field is expanded as a linear combination of eigenmodes, both guided and radiation modes. To be able to calculate radiation loss accurately, the walls of the simulation domain are coated with Perfectly Matched Layers (PMLs) [5]. At the interfaces between the different waveguides, a scattering matrix approach is used which links all the modes in the simulation (both the guided and the radiation modes), so that recapture from radiation modes can be handled. This method was used successfully in the design of many devices where radiation modes play a crucial role, like e.g. grating couplers [6].

3. Convergence analysis

In the comment [2], the authors provide a counterexample which is supposed to illustrate the effects of radiation modes. However, the structure they study is different from the optimised one we presented in Fig. 6 of [1]), since the length of their device is 5.7 μm whereas the optimized device we have described has a length of 6.055 μm. As such, this counterexample does not prove any point. Also, we were unable to analyse this counterexample using our model, because in [2] and in our subsequent communication with the authors, they did not provide parameters (Silicon waveguide thickness) of the device. Therefore, in order to provide additional support for our calculations, we have chosen instead to provide a detailed convergence analysis of one of the structures we published in [1].

 figure: Fig. 1.

Fig. 1. Convergence Analysis

Download Full Size | PDF

We will focus on the device with a Si-waveguide thickness of 101 nm, the corresponding length of the sensing section is 6.055 μm. All other parameters can be found in [1]. To study the dependendce on the number of radiation modes we increased the number of modes in the simulation from 50 to 100 and follow the shape of the transmission spectrum. As can be seen in Fig. 1, once the number of modes is higher than 70, the shape of the transmission curve does not change significantly anymore.

It is also interesting to mention that the characteristics of this device were independently calculated by RSOFT with their software (FullWAVE) and similar results were obtained [7].

4. Conclusion

We agree with the authors of [2] that radiation modes can play an important role when studying a device. However, we did take them into account in our original paper.

References and links

1. P. Debackere, S. Scheerlinck, P. Bienstman, and R. Baets,“Surface plasmon interferometer in silicon-on-insulator: novel concept for an integrated biosensor,” Opt. Express 14, 7063–7072 (2006). [CrossRef]   [PubMed]  

2. R. Levy and S. Ruschin, “Surface plasmon interferometer in silicon-on-insulator: novel concept for an integrated biosensor: Comment,” Opt. Express 15, 13649–13650 (2007). [CrossRef]   [PubMed]  

3. CAMFR, freely available from http://sourceforge.org/projects/CAMFR

4. P. Debackere, P. Bienstman, and R. Baets,“Improved ASR convergence for the simulation of surface plasmon waveguide modes,” Opt. Quantum Electron. 38, 857–867 (2006). [CrossRef]  

5. P. Bienstman and R. Baets, “Optical modelling of photonic crystals and VCSELs using eigenmode expansion and perfectly matched layers,” Opt. Quantum Electron. 33, 327–341 (2001). [CrossRef]  

6. D. Taillaert, W. Bogaerts, P. Bienstman, T. F. Krauss, P. Van Daele, I. Moerman, S. Verstuyft, K. De Mesel, and R. Baets, “An out-of-plane grating coupler for efficient butt-coupling between compact planar waveguides and single-mode fibers,” IEEE J. Quantum Electron. 38, 949–955 (2002). [CrossRef]  

7. RSOFT Design Group,“RSOFT Review,” 6, 1–2 (2007)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (1)

Fig. 1.
Fig. 1. Convergence Analysis
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.