Lacatus Presentation

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7/23/2019 Lacatus Presentation http://slidepdf.com/reader/full/lacatus-presentation 1/16 Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble 14-16, October, 2015 || E. Lacatus, et al. Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors Models for Simulation Base Selection of 3D Multilayere Graphene Biosensors E. Lacatus *1 , G.C. Alecu 2 , A. Tudor 2 1* UPB – Polytechnic University of Bucharest; Assoc. Prof. email: [email protected] 2 UPB – Polytechnic University of Bucharest  – MEng Student

Transcript of Lacatus Presentation

Page 1: Lacatus Presentation

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

Models for Simulation BaseSelection of 3D Multilayere

Graphene Biosensors

E. Lacatus *1, G.C. Alecu2, A. Tudor 2

1* UPB – Polytechnic University of Bucharest; Assoc. Prof. email: [email protected]

2 UPB – Polytechnic University of Bucharest – MEng Student

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

Overview• Graphene biosensor models

• Density Functional Theory• Graphene biosensor data

• Graphene models design & characterization (ChemBioOffice)

• Protein models design and characterization (ChemBioOffice)

• G/RGO/TwG Force Field characterization (MATLAB)

• Use of COMSOL Multiphysics

• COMSOL analysis: G-Biosensor structure model• COMSOL analysis: Tween (TwG)- Biosensor structure model

• COMSOL Simulations (Acoustic Module): (TwG-E)/ SiO2; SiO2 -environmen

• COMSOL Simulations (Acoustic Module):G/GO –SiO2 interface

• Conclusions

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

Graphene (G), graphene oxides (GO), reactive graphene oxides (RGO), graphene nanoribbons other graphene based composite materials (TwG) are used on the biosensing area with the aim onew functionalized material solutions for personalized medical applications.

Graphene biosensor models

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

Density Functional Theory

Lennard- Jones potential:

The force acting on the “i ” atomof the system:

the depth of the potential energy well [eV]

the distance at the minimum of the potential [Å]

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

Graphene biosensor data

o Design and characterization - graphene (2D nano-structure): G, GO, RGO, etc

o Design and characterization – bio-structure: Alpha-Helix, Loricin, etc

o Functional integration :

human skin – hydrogel polymer structure (PVAHydrogel); PVA Hydrogel – graphene based module(G/GO/TwGP); graphene module – electrodes (Ag);

graphene/electrodes – substrate (Silica glass SiO2)

o Device response to environmental stimuli simulation

ChemBioOffice® MS Excel

M

ChemDraw

LiveLink

ChemBio3D

LiveLink™ 

 for Excel® 

Calculate:• Structure measurements

• Extended Hückler

•Properties

Molecular Modeling (MM2)

Molecular Model Force

Field (MMFF94)

Molecular Dynamics

Modeling

Challenges

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

Graphene G-H2

Graphene G-OH

ChemBioOffice® MATLAB® COMSOL

Graphene

models design &

characterization

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

ChemBioOffice® MATLAB® COMSOLProtein models

design &

characterization

F

Pr

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

ChemBioOffice® MATLAB® COMSOL

Van der Waals force field(DFT) assembly

RGO/GNRs/TwG

G- vdW force field G

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

G- armchair-20 atoms

G- armchair-50 atoms

G- zig-zag-20 atoms

G- zig-zag-50 atoms

ChemBioOffice® MATLAB® COMSOLG/RGO/GNRs/TwG

Force Field properties

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

ChemBioOffice® MATLAB® COMSOL

Use of COMSOL forfunctionalized

G-biosenzor models   U  s  e  o   f   C   O   M

   S   O   L   M  u   l   t   i  p   h  y  s   i  c  s

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

ChemBioOffice® MATLAB® COMSOL

Mesh

Stress

Stress Interface A Stress Interface B

Infinitesimal straintensor (G/GO/RGO)

Stress Energy

Electric Potential

Energy

COMSOL analysis:G-Biosensor structure model 

Substrate :SiO2

Graphene

(G/GO/RGO)

Electrodes

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

ChemBioOffice® MATLAB® COMSOL

COMSOL analysis: Tween (TwG) - Biosensor str

model 

Substrate :SiO2

Graphene(G/GO/RGO)

Electrodes

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

ChemBioOffice® MATLAB® COMSOL

Simulating interface responses to environmental stimuliGNRs- Electrode (TwG-E) /Silicon Glass (SiO2)

Simulating Silicon glass (response to environmental

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

ChemBioOffice® MATLAB® COMSOL

Simulating  G/GO/RGO- SiO2 module interfaceresponse to environmental stimuli

Simulating G-protein-G sandwich structuresponse to vibrations under enviro

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors

Conclusions

• Graphene (G/GO/RGO/GNRs/TwG) models, characterizations and field propert

through LiveLink™ (for Excel,and for MATLAB) can be used for simulating grapresponses to environmental stimuli

• Van der Waals field forces potential (based on: DFT, Lennard-Jones, Kirchhoff, an

applied for molecular and quantum level interactions(electron-electron, phonon

 phonon) can explain and simulate the G/GO/RGO-biosensing device continu

• The functionalized G-protein-G structures, simulated as self-assembled struduring iterations towards stabile configurations(DFT, vdW)

• Biological and environmental stimuli (thermal, electric, acoustic, chemical, etc) areby the functionalized graphene structures in continuum like models throughCOMSOL Multiphysics modules

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Excerpt from the Proceedings of the 2015 COMSOL Conference in Grenoble14-16, October, 2015 || E. Lacatus, et al.

Models for Simulation Based Selection of 3D Multilayered Graphene Biosensors