Dielectrical Modelling for a Liquid Crystal-based … Modelling for a Liquid Crystal-based Optrode...

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Dielectrical Modelling for a Liquid Crystal-based Optrode Author: Hrishikesh Srinivas Supervisor: Prof. Nigel Lovell Co-Supervisor: Prof. François Ladouceur Research Theme: Resources and Infrastructure for the Future Introduction Figure 3 Optrode with neuron model, liquid crystal layer shown in blue Figure 1 Device operation References Acknowledgements Summary and Further Work Many thanks to Dr. Amr Al Abed (GSBmE) and Dr. Leonardo Silvestri (EET) for their invaluable insights and expertise in tackling this modelling problem, the Optrode project team, and UNSW Faculty of Engineering for the Taste of Research opportunity. We have tested Approach 2 and shown agreement with the analytical convolution approach to the Debye model for frequency-dependent dielectric response. We have implemented the Debye model in a COMSOL time-domain simulation of the behaviour of the liquid crystal layer for an optrode designed to sense biopotentials. • Next: Extend the method to simulate the Cole-Cole dielectric response, which has a better fit with measurements of the liquid crystal. Extend modelling of the device into the optical domain. (1) R.Buchner, J. Barthel (1991). High frequency permittivity and its use in the investigation of solution properties. Pure and Applied Chemistry, Vol.63, No. 10, 1473-1482. The Debye response was implemented in COMSOL using the second approach and tested for a simplified 2D square geometry, with one side held at sinusoidal electric potential of |E|=1 and fixed test frequency, the opposite side held at ground, and the remaining two sides insulated, bounding the liquid crystal domain. Time-dependent solver results closely match the overall frequency response, as well as the analytical convolution formula implemented in MATLAB by the first approach. Verification and Implementation COMSOL Model Implementation ϵ r Figure 2 Debye frequency response plotted with COMSOL Finite Element Method simulation-probed values and MATLAB convolution method values Model Verification with MATLAB Approach 2 was then implemented in the existing full device electrical model, with application to sensing the neuron potential generated by a rectangular pulse stimulus current. The neuron is approximated as a branched line current source in saline solution, generating an impulse potential sampled at the top layer of the device. Copper vias conduct the biopotential electric field to the liquid crystal layer. Approach 1: Dielectric Constant in MATLAB ® Approach 2: Polarization in COMSOL ® The aim is to implement in a time-domain simulation the Debye dielectric response, given by = + 1+ with single relaxation time , static and infinite frequency permittivities , , and = 2 . Multiplication in the frequency domain, () = 0 ()(), requires knowledge of the whole biopotential electric field () in time. The time-domain equivalent is convolution, = 0 . ( − ′ ) dt′ 0 where the impulse response is derived from the inverse Fourier transform of the Debye formula. This allows evaluation of on each time step, but time-convolution is a non-trivial issue in COMSOL. Is there another way? We look instead at the electromagnetic relation = 0 −1 : Split the polarisation vector 1 into induced polarisation component = 0 ( − 1), and orientational polarisation component = 0 ( ), so that = + . (1) Solve for as a dependent variable, (2) solve the differential equation + = 0 , and (3) add! Claim: specifying the above for COMSOL’s finite element method is equivalent to implementing the Debye dielectric response in the liquid crystal domain. In this project, MATLAB and COMSOL Multiphysics modelling is used to theoretically simulate dielectric properties of the liquid crystal, enabling future optimisation of the optrode. Figure 4 Electric potential probed at centre of liquid crystal layer before and after Debye model implementation. (Inset) Applied stimulus current pulse shape Applied stimulus current ()? A novel optical electrode (optrode) design based around a deformable helix liquid crystal (LC) is being investigated for sensing electrical potentials in excitable tissue (biopotentials). Innovation and Application Device operation is based on the linear reflectance of light traversing an LC layer with an electric field applied across it. Optimisation would allow complex extracellular (e.g. neuron, cardiac tissue) biopotentials to be detected with high sensitivity by this principle (Figure 1). Background The dielectric constant of the LC layer determines its internal polarisation in response to an external electric field , and its internal displacement field , all related by = 0 = 0 + where 0 is the permittivity of free space constant. From measurements, is not a constant material property, but has frequency dependence that has so far not been taken into account in electrical, time-dependent models of the optrode. This parameter has implications for the physics of device operation.

Transcript of Dielectrical Modelling for a Liquid Crystal-based … Modelling for a Liquid Crystal-based Optrode...

Dielectrical Modelling for a Liquid Crystal-based Optrode Author: Hrishikesh Srinivas

Supervisor: Prof. Nigel Lovell Co-Supervisor: Prof. François Ladouceur

Research Theme: Resources and Infrastructure for the Future

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Introduction

Figure 3 Optrode with neuron model,

liquid crystal layer shown in blue

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Figure 1 Device operation

References

Acknowledgements

Summary and Further Work

Many thanks to Dr. Amr Al Abed (GSBmE) and Dr. Leonardo Silvestri (EET) for their invaluable

insights and expertise in tackling this modelling problem, the Optrode project team, and UNSW

Faculty of Engineering for the Taste of Research opportunity.

• We have tested Approach 2 and shown agreement with the analytical convolution approach to

the Debye model for frequency-dependent dielectric response.

• We have implemented the Debye model in a COMSOL time-domain simulation of the behaviour

of the liquid crystal layer for an optrode designed to sense biopotentials.

• Next: Extend the method to simulate the Cole-Cole dielectric response, which has a better fit

with measurements of the liquid crystal.

Extend modelling of the device into the optical domain.

(1) R.Buchner, J. Barthel (1991). High frequency permittivity and its use in the investigation

of solution properties. Pure and Applied Chemistry, Vol.63, No. 10, 1473-1482.

The Debye response was implemented in COMSOL using the second approach and tested

for a simplified 2D square geometry, with one side held at sinusoidal electric potential of

|E|=1 and fixed test frequency, the opposite side held at ground, and the remaining two

sides insulated, bounding the liquid crystal domain.

Time-dependent solver results closely match the overall frequency response, as well as the

analytical convolution formula implemented in MATLAB by the first approach.

Verification and Implementation

COMSOL Model Implementation

ϵ r

Figure 2 Debye frequency response plotted with COMSOL Finite Element Method

simulation-probed values and MATLAB convolution method values

Model Verification with MATLAB

Approach 2 was then implemented in the existing full device electrical model, with application to

sensing the neuron potential generated by a rectangular pulse stimulus current. The neuron is

approximated as a branched line current source in saline solution, generating an impulse potential

sampled at the top layer of the device. Copper vias conduct the biopotential electric field to the liquid crystal layer.

Approach 1: Dielectric Constant 𝝐𝒓 in MATLAB® Approach 2: Polarization 𝑷 in COMSOL® The aim is to implement in a time-domain simulation the Debye dielectric response, given by

𝜖𝑟 𝜔 = 𝜖∞ +𝜖𝑠−𝜖∞

1+𝑗𝜔𝜏

with single relaxation time 𝜏, static and infinite frequency permittivities 𝜖𝑠, 𝜖∞, and 𝜔 = 2𝜋𝑓.

• Multiplication in the frequency domain, 𝑫(𝜔) = 𝜖0𝜖𝑟(𝜔)𝑬(𝜔), requires knowledge of the whole

biopotential electric field 𝑬(𝑡) in time.

• The time-domain equivalent is convolution, 𝑫 𝑡 = 𝜖0 𝜖𝑟 𝑡′ . 𝑬(𝑡 − 𝑡′ ) dt′𝑡

0 where the impulse

response 𝜖𝑟 𝑡 is derived from the inverse Fourier transform of the Debye formula. This allows evaluation of 𝑫 on each time step, but time-convolution is a non-trivial issue in COMSOL.

Is there another way?

We look instead at the electromagnetic relation 𝑷 = 𝜖0 𝜖𝑟 − 1 𝑬 :

• Split the polarisation vector1 into induced polarisation component 𝑷𝛼 = 𝜖0(𝜖∞ − 1)𝑬, and

orientational polarisation component 𝑷𝜇 = 𝜖0(𝜖𝑟 − 𝜖∞)𝑬, so that 𝑷 = 𝑷𝛼 + 𝑷𝜇.

• (1) Solve for 𝑷𝛼 as a dependent variable, (2) solve the differential equation

𝑷𝜇 𝑡 + 𝜏𝑑𝑷𝜇 𝑡

𝑑𝑡= 𝜖0∆𝜖𝑬 𝑡 , and (3) add!

• Claim: specifying the above for COMSOL’s finite element method is equivalent to implementing the Debye dielectric response in the liquid crystal domain.

In this project, MATLAB and COMSOL Multiphysics modelling is used to theoretically

simulate dielectric properties of the liquid crystal, enabling future optimisation of the optrode.

Figure 4 Electric potential probed at centre of liquid crystal layer before and after

Debye model implementation. (Inset) Applied stimulus current pulse shape

Applied

stimulus current

𝜖𝑟(𝑡)?

A novel optical electrode (optrode) design based around a deformable helix liquid crystal (LC) is being

investigated for sensing electrical potentials in excitable tissue (biopotentials).

Innovation and Application Device operation is based on the linear reflectance of light traversing an LC layer with an electric field

applied across it. Optimisation would allow complex extracellular (e.g. neuron, cardiac tissue)

biopotentials to be detected with high sensitivity by this principle (Figure 1).

Background The dielectric constant 𝜖𝑟 of the LC layer determines its internal polarisation 𝑷 in response to an

external electric field 𝑬, and its internal displacement field 𝑫, all related by 𝑫 = 𝜖0𝜖𝑟𝑬 = 𝜖0𝑬 + 𝑷 where 𝜖0 is the permittivity of free space constant.

From measurements, 𝜖𝑟 is not a constant material property, but has frequency dependence that has

so far not been taken into account in electrical, time-dependent models of the optrode.

This parameter has implications for the physics of device operation.