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s   c   i   e   n   c   e  |   e   v   o   l   v   e   d Multiphysics Simulation of Isoelectric Point Separation of Protei...
Mission To nurture and harvest scientific creativity  to produce life changing technologies
Discoveries <ul><li>Energy Storage through Electrochemistry </li></ul><ul><li>Chemical/Biological Defense and Countermeasu...
Current Protein Diagnostic Techniques Expensive Immobile Hard to Maintain Slow Protein Analysis -Enzyme-linked Immunosorbe...
Remote Area Diagnostic alqi.org  http://oregonstate.edu/dept/ncs http://www.defenseindustrydaily.com Yon M. Achieves. http...
<ul><li>Song et al. from MIT’s Biological Engineering Laboratory designed PI based protein separation </li></ul>Isoelectri...
Lynntech’s Concept: Isoelectric Point based Protein Separation Chip Top Inlet : pH, Ionic Strength, flow rate Middle Inlet...
Design of Experiments Procedure Input parameter Selection and range Design of Experiments in JMP Check   Input design cond...
Design of Experiments Plackett-Burman 12 Runs <ul><li>R.L. Plackett and J.P. Burman proposed this method in 1946 in their ...
COMSOL Model Set-up Incompressible Navier-Stokes Density=998 kg/m3 Dynamic Viscosity=1.002e-3 Pa-s Inflow Velocity Pressur...
COMSOL Model Set-up PDMS  Fluid Average Relative Permittivity  Copper Electrode +V -V Electrostatics Subdomain Setting Bou...
COMSOL Model Set-up Electrokinetics Subdomain Setting Boundary Setting
COMSOL Results pH Distribution at the Exit of the Channel  No External Potential
Statistical Optimization from COMSOL Results: Max pH p i c i f 1 = Σ (i=0,10) (c i *p i ) where  f 1 =Maximum value of  Δ ...
Statistical Optimization from COMSOL Results: Uniform pH Maximum pH  Uniformity at the Channel Exit p i c i f 2 = Σ (i=0,1...
COMSOL Results based on Statistical Analysis No External Potential
COMSOL Results based on Statistical Analysis No External Potential
Conclusions <ul><li>Most dominant parameters controlling the process are identified. </li></ul><ul><li>An optimized design...
Future Work <ul><li>Experimental Validation. </li></ul><ul><li>Run DOE with more combination of few important parameters t...
s   c   i   e   n   c   e  |   e   v   o   l   v   e   d 1313 Research Parkway  College Station, TX 77845 P. 979.693.0017 ...
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Lynntech

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Lynntech's Microfluidics Presentation at COMSOL Boston Conference 2009. Anjan Contractor.

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Transcript of "Lynntech"

  1. 1. s c i e n c e | e v o l v e d Multiphysics Simulation of Isoelectric Point Separation of Proteins Using Non-Gel Microfluidics System Anjan Contractor, Ashwin Balasubramanian, Gareth Hughes
  2. 2. Mission To nurture and harvest scientific creativity to produce life changing technologies
  3. 3. Discoveries <ul><li>Energy Storage through Electrochemistry </li></ul><ul><li>Chemical/Biological Defense and Countermeasures </li></ul><ul><li>Environmental Remediation </li></ul><ul><li>Medical Technologies </li></ul>
  4. 4. Current Protein Diagnostic Techniques Expensive Immobile Hard to Maintain Slow Protein Analysis -Enzyme-linked Immunosorbent Assays (ELISAs) -2D Gel Electrophoresis Protein Detection -Mass Spectrometer
  5. 5. Remote Area Diagnostic alqi.org http://oregonstate.edu/dept/ncs http://www.defenseindustrydaily.com Yon M. Achieves. http://www.michaelyon-online.com
  6. 6. <ul><li>Song et al. from MIT’s Biological Engineering Laboratory designed PI based protein separation </li></ul>Isoelectric Point based Protein Separation Song, Y., Hsu S., Stevens A.L., and Han J. Continuous-Flow pI-Based Sorting of Proteins and Peptides in Microfluidic Chip Using Diffusion Potential. Anal. Chem. (2006) 78(11): 3528-3536
  7. 7. Lynntech’s Concept: Isoelectric Point based Protein Separation Chip Top Inlet : pH, Ionic Strength, flow rate Middle Inlet: pH, Ionic Strength, flow rate Bottom Inlet: pH, Ionic Strength, flow rate L W V, Electrode Objectives: -High pH gradient at the exit of microfluidic channel. -Multiple chip configuration that can achieve pH resolution of 0.1
  8. 8. Design of Experiments Procedure Input parameter Selection and range Design of Experiments in JMP Check Input design conditions of JMP in COMSOL and obtain model results <ul><li>Evaluation criteria </li></ul><ul><li>Maximum pH range coverage at the channel outlet. </li></ul><ul><li>=> E 1 =pH A -pH B = Maximum </li></ul><ul><li>Most uniform pH distribution at the channel outlet </li></ul><ul><li>=>Uniform dpH/dy </li></ul><ul><li>=> E 2 =Mean of dpH/dy – Std Dev of dpH/dy = Maximum </li></ul>Input evaluation criteria in JMP and analyze Obtain optimized parameters
  9. 9. Design of Experiments Plackett-Burman 12 Runs <ul><li>R.L. Plackett and J.P. Burman proposed this method in 1946 in their famous paper ‘The Design of Optimal Multifactorial Experiments” in Biometrika (vol.33). </li></ul><ul><li>This method is very economical and effective in understanding independent effect of each parameter. </li></ul>
  10. 10. COMSOL Model Set-up Incompressible Navier-Stokes Density=998 kg/m3 Dynamic Viscosity=1.002e-3 Pa-s Inflow Velocity Pressure 0 Pa Subdomain Setting Boundary Setting No Slip at the Wall
  11. 11. COMSOL Model Set-up PDMS Fluid Average Relative Permittivity Copper Electrode +V -V Electrostatics Subdomain Setting Boundary Setting Continuity
  12. 12. COMSOL Model Set-up Electrokinetics Subdomain Setting Boundary Setting
  13. 13. COMSOL Results pH Distribution at the Exit of the Channel No External Potential
  14. 14. Statistical Optimization from COMSOL Results: Max pH p i c i f 1 = Σ (i=0,10) (c i *p i ) where f 1 =Maximum value of Δ pH, c i =constant, p i =parameter p i
  15. 15. Statistical Optimization from COMSOL Results: Uniform pH Maximum pH Uniformity at the Channel Exit p i c i f 2 = Σ (i=0,10)(c i *p i ) where f 2 =Maximum pH Uniformity, c i =constant, p i =parameter
  16. 16. COMSOL Results based on Statistical Analysis No External Potential
  17. 17. COMSOL Results based on Statistical Analysis No External Potential
  18. 18. Conclusions <ul><li>Most dominant parameters controlling the process are identified. </li></ul><ul><li>An optimized design is proposed by numerical modeling. </li></ul><ul><li>pH gradient of range 1.5-13 with high uniformity is achieved. </li></ul>
  19. 19. Future Work <ul><li>Experimental Validation. </li></ul><ul><li>Run DOE with more combination of few important parameters to fine tune the current design. </li></ul><ul><li>Continue similar DOE for subsequent channels until a resolution of 0.1 is achieved. Lynntech would like to thank Army Research, Development and Engineering Command (RDECOM) for funding this research project. </li></ul>
  20. 20. s c i e n c e | e v o l v e d 1313 Research Parkway College Station, TX 77845 P. 979.693.0017 F. 979.694.8536 www.lynntech.com
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