SlideShare ist ein Scribd-Unternehmen logo
1 von 32
CHROMWORKS in Pharma Create a unique usefulness in continuous chromatography Copyright © 2011 ChromWorks, Inc. www.chromworks.com
Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
Introduction ChromWorks is a computer modeling software for simulation, design, analysis and optimization of continuous and preparative chromatography processes: ,[object Object]
VARICOL
Intermittent SMB
Bio-chromatography†
Refining SMB (Parex, Eluxyl)†
Batch elution/gradient chromatography† Under development
Introduction ChromWorks has sub-systems based on industry domain and the specific type of chromatography application.  ,[object Object]
Bio-Pharmaceuticals (Large molecules, e.g. Proteins)†
Petrochemicals (Bulk hydrocarbons, e.g. Xylenes)†† Under development
Introduction ChromWorksin Pharmais a dedicated modeling system for manufacturing chromatography processes in Pharmaceuticals. It covers following use-cases based on demands: ,[object Object]
Design parameter acquisition (ECP and Dynamic estimation)
Equilibrium
Mass transfer
Dispersion
Process simulation (SMB, VARICOL, Intermittent SMB)
Quality by Design analysis (Temperature/Solvent Gradients),[object Object]
Challenges in the Laboratory Separation feasibility  Stationary phase evaluation and solvent screening Data acquisition and analysis Adsorption equilibrium Sorption kinetics Separation factors Model-based parameter estimation Equilibrium constants Heat and mass transfer coefficients Batch column tests Pulse injection experiments Frontal analysis Anti-Langmuir behavior
Challenges in the Conceptual Design Process design Number of columns Zone configuration Valve switching method Equipment rating and model validation Column size, packing and pressure drop constraint Feed and product port arrangement Plumbing (piping/tubing) and dead volumes Process performance and productivity Product purity and recovery Solvent consumption
Challenges in the Operation Quality by Design (QbD) Extra column dead volume Non-homogeneous column set Operation temperature Solvent composition  Plant data tuning and alignment Possible degradation in stationary phase Impurity in feed and solvent Operational safety Revamp analysis Design capacity adjustment Column re-conditioning  Process start-up and shut-down operation Source: www.ampacfinechemicals.com
Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
Differentiation! Differentiation! Differentiation! Easiest-to-use interface among peer-class simulators Software designed based upon extensive mentors provided by chromatography experts and process chemists (not by software engineers!)  No need to develop a simulation flow sheet  Fast simulation study Software learning curve is very short (1-2 hours will be sufficient to get started) Use highly robust solver based on Adaptive Moving Mesh to solve the first principle mathematical models Wide range of equilibrium isotherm models Interoperability with Microsoft Excel to allow various methodologies in automation and optimization
{ Adaptive Mesh Refinement as PDE method } The ChromWorks solver uses the adaptive mesh refinement algorithm for spatial discretization in column model, and presents highly robust and accurate simulation. In ChromWorks, theadaptive mesh refinement is one of major differentiating features Adaptive Mesh in 2-D Moving PDE Mesh In Chromatography
{ Equilibrium Models Supported in Version 1.0 } Langmuir Linear Modified Langmuir Generalized Langmuir Bi-Langmuir Ideal Adsorbed Solution Theory (IAST) IAST + Langmuir IAST + Modified Langmuir IAST + Bi-Langmuir IAST + Polynomial All isotherm model can be temperature dependent for QbD study
Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
{ SMB and VARICOL Process Models } These are top-level assumptions used in the mathematical models of SMB and VARICOL process Maximum 32 columns setup Support conventional 4 zone SMB (synchronous stepping)  Support VARICOL process (asynchronous stepping)  “As is” modeling for non-homogeneous column set “As is” modeling for extra column dead volumes, such as connecting tubing parts and column top/bottom voids Possible extension to more complex operational configuration (e.g. Intermittent SMB, PowerFeed, ModiCon, so on)
{ Dead Volume Modeling } ChromWorks uses "As is" approach to address the system dead volume in SMB and VARICOL process. The user can model extra-column dead volumes existing in the apparatus, and simulate it all together. Using this approach, the user could understand and quantify the impact of presence of dead volume and the location. The user will then be able to adjust operating condition to meet the design constraint and process performance.
{ Non-homogeneous Column Set } ChromWorks uses "As is" approach to address a non-homogeneous column set on SMB and VARICOL process performance. The user can model the packing characteristics differently for each column. Using this approach, for example, the user could understand and quantify reductions in the purity of the product streams caused by the column-to-column fluctuations of the retention times of the mixtures arising from porosity differences.
{ Triangle Theory } ChromWorks’s Triangle Theory provides explicit criteria for the choice of the operating conditions of SMB units to achieve the prescribed separation of a mixture characterized by various equilibrium isothermmodels.
{ ECP Isotherm Estimation } In industry, the ECP (Elution by Characteristic Points) method is used extensively to obtain competitive equilibrium isotherm for enantiomers.
{ Dynamic Estimation } Using the user interface that is designed for dynamic estimation, one can utilize real process model to extract design data (such as isotherm, mass transfer, and dispersion coefficients) from your experimental or plant measured data. Before Estimation After Estimation

Weitere ähnliche Inhalte

Andere mochten auch

Simulation of nonlinear simulated moving bed chromatography using ChromWorks...
Simulation of nonlinear simulated moving bed chromatography  using ChromWorks...Simulation of nonlinear simulated moving bed chromatography  using ChromWorks...
Simulation of nonlinear simulated moving bed chromatography using ChromWorks...Soo-il Kim
 
Chrome & Webkit overview
Chrome & Webkit overviewChrome & Webkit overview
Chrome & Webkit overviewBin Chen
 
Chromium on Wayland Desktop (BlinkOn 7)
Chromium on Wayland Desktop (BlinkOn 7)Chromium on Wayland Desktop (BlinkOn 7)
Chromium on Wayland Desktop (BlinkOn 7)Igalia
 
WebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 Revolution
WebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 RevolutionWebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 Revolution
WebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 Revolutionjuanjosanchezpenas
 
Web browser architecture
Web browser architectureWeb browser architecture
Web browser architectureNguyen Quang
 
Architecture of the Web browser
Architecture of the Web browserArchitecture of the Web browser
Architecture of the Web browserSabin Buraga
 
Android Chromium Rendering Pipeline
Android Chromium Rendering PipelineAndroid Chromium Rendering Pipeline
Android Chromium Rendering PipelineHyungwook Lee
 
Introduction to Web Architecture
Introduction to Web ArchitectureIntroduction to Web Architecture
Introduction to Web ArchitectureChamnap Chhorn
 

Andere mochten auch (12)

How Browser Works?
How Browser Works?How Browser Works?
How Browser Works?
 
Simulation of nonlinear simulated moving bed chromatography using ChromWorks...
Simulation of nonlinear simulated moving bed chromatography  using ChromWorks...Simulation of nonlinear simulated moving bed chromatography  using ChromWorks...
Simulation of nonlinear simulated moving bed chromatography using ChromWorks...
 
Chromium vs. Firefox
Chromium vs. FirefoxChromium vs. Firefox
Chromium vs. Firefox
 
Chrome & Webkit overview
Chrome & Webkit overviewChrome & Webkit overview
Chrome & Webkit overview
 
How browser work
How browser workHow browser work
How browser work
 
Chromium on Wayland Desktop (BlinkOn 7)
Chromium on Wayland Desktop (BlinkOn 7)Chromium on Wayland Desktop (BlinkOn 7)
Chromium on Wayland Desktop (BlinkOn 7)
 
WebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 Revolution
WebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 RevolutionWebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 Revolution
WebKit and Blink: Bridging the Gap Between the Kernel and the HTML5 Revolution
 
Web browser architecture
Web browser architectureWeb browser architecture
Web browser architecture
 
Architecture of the Web browser
Architecture of the Web browserArchitecture of the Web browser
Architecture of the Web browser
 
Android Chromium Rendering Pipeline
Android Chromium Rendering PipelineAndroid Chromium Rendering Pipeline
Android Chromium Rendering Pipeline
 
The WebKit project
The WebKit projectThe WebKit project
The WebKit project
 
Introduction to Web Architecture
Introduction to Web ArchitectureIntroduction to Web Architecture
Introduction to Web Architecture
 

Ähnlich wie Chrom works introduction

Queuing model based load testing of large enterprise applications
Queuing model based load testing of large enterprise applicationsQueuing model based load testing of large enterprise applications
Queuing model based load testing of large enterprise applicationsLeonid Grinshpan, Ph.D.
 
Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...
Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...
Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...Verhaert Masters in Innovation
 
Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016Modelon
 
Optimica Compiler Toolkit - Overview
Optimica Compiler Toolkit - OverviewOptimica Compiler Toolkit - Overview
Optimica Compiler Toolkit - OverviewModelon
 
welcometosimscale-companypresentationv2-160420145834 (1)
welcometosimscale-companypresentationv2-160420145834 (1)welcometosimscale-companypresentationv2-160420145834 (1)
welcometosimscale-companypresentationv2-160420145834 (1)Kristina Lowe
 
Automated and Scalable Solutions for Software Testing: The Essential Role of ...
Automated and Scalable Solutions for Software Testing: The Essential Role of ...Automated and Scalable Solutions for Software Testing: The Essential Role of ...
Automated and Scalable Solutions for Software Testing: The Essential Role of ...Lionel Briand
 
Introduction of CHEMcAD Software
Introduction of CHEMcAD Software Introduction of CHEMcAD Software
Introduction of CHEMcAD Software MyTech8
 
SiriusCon 2015 - Breathe Life into Your Designer!
SiriusCon 2015 - Breathe Life into Your Designer!SiriusCon 2015 - Breathe Life into Your Designer!
SiriusCon 2015 - Breathe Life into Your Designer!melbats
 
EclipseCon Eu 2015 - Breathe life into your Designer!
EclipseCon Eu 2015 - Breathe life into your Designer!EclipseCon Eu 2015 - Breathe life into your Designer!
EclipseCon Eu 2015 - Breathe life into your Designer!melbats
 
Cornell Computational Chemistry Seminar
Cornell Computational Chemistry SeminarCornell Computational Chemistry Seminar
Cornell Computational Chemistry SeminarGeorge Fitzgerald
 
Maximizing Efficiency Using Simulation
Maximizing Efficiency Using SimulationMaximizing Efficiency Using Simulation
Maximizing Efficiency Using Simulationjason_cov
 
SIMULIA-Opera-Brochure.pdf
SIMULIA-Opera-Brochure.pdfSIMULIA-Opera-Brochure.pdf
SIMULIA-Opera-Brochure.pdfssuser9c6e31
 
Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...
Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...
Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...Spark Summit
 
Cray HPC Environments for Leading Edge Simulations
Cray HPC Environments for Leading Edge SimulationsCray HPC Environments for Leading Edge Simulations
Cray HPC Environments for Leading Edge Simulationsinside-BigData.com
 
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)Benoit Combemale
 
Intrduction to Simulation.ppt
Intrduction to Simulation.pptIntrduction to Simulation.ppt
Intrduction to Simulation.pptFathiShokry
 

Ähnlich wie Chrom works introduction (20)

Presentation
PresentationPresentation
Presentation
 
Queuing model based load testing of large enterprise applications
Queuing model based load testing of large enterprise applicationsQueuing model based load testing of large enterprise applications
Queuing model based load testing of large enterprise applications
 
Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...
Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...
Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables...
 
Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016
 
Presentation Of Mbt Tools
Presentation Of Mbt ToolsPresentation Of Mbt Tools
Presentation Of Mbt Tools
 
Optimica Compiler Toolkit - Overview
Optimica Compiler Toolkit - OverviewOptimica Compiler Toolkit - Overview
Optimica Compiler Toolkit - Overview
 
welcometosimscale-companypresentationv2-160420145834 (1)
welcometosimscale-companypresentationv2-160420145834 (1)welcometosimscale-companypresentationv2-160420145834 (1)
welcometosimscale-companypresentationv2-160420145834 (1)
 
Automated and Scalable Solutions for Software Testing: The Essential Role of ...
Automated and Scalable Solutions for Software Testing: The Essential Role of ...Automated and Scalable Solutions for Software Testing: The Essential Role of ...
Automated and Scalable Solutions for Software Testing: The Essential Role of ...
 
Introduction of CHEMcAD Software
Introduction of CHEMcAD Software Introduction of CHEMcAD Software
Introduction of CHEMcAD Software
 
SiriusCon 2015 - Breathe Life into Your Designer!
SiriusCon 2015 - Breathe Life into Your Designer!SiriusCon 2015 - Breathe Life into Your Designer!
SiriusCon 2015 - Breathe Life into Your Designer!
 
Tecnomatix 11 para simulação e validação
Tecnomatix 11 para simulação e validaçãoTecnomatix 11 para simulação e validação
Tecnomatix 11 para simulação e validação
 
EclipseCon Eu 2015 - Breathe life into your Designer!
EclipseCon Eu 2015 - Breathe life into your Designer!EclipseCon Eu 2015 - Breathe life into your Designer!
EclipseCon Eu 2015 - Breathe life into your Designer!
 
Cornell Computational Chemistry Seminar
Cornell Computational Chemistry SeminarCornell Computational Chemistry Seminar
Cornell Computational Chemistry Seminar
 
Maximizing Efficiency Using Simulation
Maximizing Efficiency Using SimulationMaximizing Efficiency Using Simulation
Maximizing Efficiency Using Simulation
 
SIMULIA-Opera-Brochure.pdf
SIMULIA-Opera-Brochure.pdfSIMULIA-Opera-Brochure.pdf
SIMULIA-Opera-Brochure.pdf
 
Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...
Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...
Clipper: A Low-Latency Online Prediction Serving System: Spark Summit East ta...
 
Cray HPC Environments for Leading Edge Simulations
Cray HPC Environments for Leading Edge SimulationsCray HPC Environments for Leading Edge Simulations
Cray HPC Environments for Leading Edge Simulations
 
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)
Efficient and Advanced Omniscient Debugging for xDSMLs (SLE 2015)
 
Abhishek Nerkar-CV
Abhishek Nerkar-CVAbhishek Nerkar-CV
Abhishek Nerkar-CV
 
Intrduction to Simulation.ppt
Intrduction to Simulation.pptIntrduction to Simulation.ppt
Intrduction to Simulation.ppt
 

Chrom works introduction

  • 1. CHROMWORKS in Pharma Create a unique usefulness in continuous chromatography Copyright © 2011 ChromWorks, Inc. www.chromworks.com
  • 2. Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
  • 3.
  • 9.
  • 11. Petrochemicals (Bulk hydrocarbons, e.g. Xylenes)†† Under development
  • 12.
  • 13. Design parameter acquisition (ECP and Dynamic estimation)
  • 17. Process simulation (SMB, VARICOL, Intermittent SMB)
  • 18.
  • 19. Challenges in the Laboratory Separation feasibility Stationary phase evaluation and solvent screening Data acquisition and analysis Adsorption equilibrium Sorption kinetics Separation factors Model-based parameter estimation Equilibrium constants Heat and mass transfer coefficients Batch column tests Pulse injection experiments Frontal analysis Anti-Langmuir behavior
  • 20. Challenges in the Conceptual Design Process design Number of columns Zone configuration Valve switching method Equipment rating and model validation Column size, packing and pressure drop constraint Feed and product port arrangement Plumbing (piping/tubing) and dead volumes Process performance and productivity Product purity and recovery Solvent consumption
  • 21. Challenges in the Operation Quality by Design (QbD) Extra column dead volume Non-homogeneous column set Operation temperature Solvent composition Plant data tuning and alignment Possible degradation in stationary phase Impurity in feed and solvent Operational safety Revamp analysis Design capacity adjustment Column re-conditioning Process start-up and shut-down operation Source: www.ampacfinechemicals.com
  • 22. Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
  • 23. Differentiation! Differentiation! Differentiation! Easiest-to-use interface among peer-class simulators Software designed based upon extensive mentors provided by chromatography experts and process chemists (not by software engineers!) No need to develop a simulation flow sheet  Fast simulation study Software learning curve is very short (1-2 hours will be sufficient to get started) Use highly robust solver based on Adaptive Moving Mesh to solve the first principle mathematical models Wide range of equilibrium isotherm models Interoperability with Microsoft Excel to allow various methodologies in automation and optimization
  • 24. { Adaptive Mesh Refinement as PDE method } The ChromWorks solver uses the adaptive mesh refinement algorithm for spatial discretization in column model, and presents highly robust and accurate simulation. In ChromWorks, theadaptive mesh refinement is one of major differentiating features Adaptive Mesh in 2-D Moving PDE Mesh In Chromatography
  • 25. { Equilibrium Models Supported in Version 1.0 } Langmuir Linear Modified Langmuir Generalized Langmuir Bi-Langmuir Ideal Adsorbed Solution Theory (IAST) IAST + Langmuir IAST + Modified Langmuir IAST + Bi-Langmuir IAST + Polynomial All isotherm model can be temperature dependent for QbD study
  • 26. Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
  • 27. { SMB and VARICOL Process Models } These are top-level assumptions used in the mathematical models of SMB and VARICOL process Maximum 32 columns setup Support conventional 4 zone SMB (synchronous stepping) Support VARICOL process (asynchronous stepping) “As is” modeling for non-homogeneous column set “As is” modeling for extra column dead volumes, such as connecting tubing parts and column top/bottom voids Possible extension to more complex operational configuration (e.g. Intermittent SMB, PowerFeed, ModiCon, so on)
  • 28. { Dead Volume Modeling } ChromWorks uses "As is" approach to address the system dead volume in SMB and VARICOL process. The user can model extra-column dead volumes existing in the apparatus, and simulate it all together. Using this approach, the user could understand and quantify the impact of presence of dead volume and the location. The user will then be able to adjust operating condition to meet the design constraint and process performance.
  • 29. { Non-homogeneous Column Set } ChromWorks uses "As is" approach to address a non-homogeneous column set on SMB and VARICOL process performance. The user can model the packing characteristics differently for each column. Using this approach, for example, the user could understand and quantify reductions in the purity of the product streams caused by the column-to-column fluctuations of the retention times of the mixtures arising from porosity differences.
  • 30. { Triangle Theory } ChromWorks’s Triangle Theory provides explicit criteria for the choice of the operating conditions of SMB units to achieve the prescribed separation of a mixture characterized by various equilibrium isothermmodels.
  • 31. { ECP Isotherm Estimation } In industry, the ECP (Elution by Characteristic Points) method is used extensively to obtain competitive equilibrium isotherm for enantiomers.
  • 32. { Dynamic Estimation } Using the user interface that is designed for dynamic estimation, one can utilize real process model to extract design data (such as isotherm, mass transfer, and dispersion coefficients) from your experimental or plant measured data. Before Estimation After Estimation
  • 33. { Gradient Operations (QbD) } ChromWorks has special functions to study the effects of temperature and solvent composition on the SMB process performance. The objective of the simulation capability of gradient operation is to investigate a possibility of improvement of separation resolution and also to execute a QbD (Quality by Design) analysis by simulate adsorption behavior at various operating conditions. “Good” Gradient Sample “Bad” Gradient Sample
  • 34. { Excel Interoperability } You could use Microsoft Excel (2003, 2007 and 2010) to run ChromWorks SMB and Varicol models. It is possible by accessing the COM object of ChromWorks from Excel VBA.
  • 35. { Model Tuning to Fit Data } ChromWorks provides a unique software interface that allows the user to fit the model with the measured data.
  • 36. { Chemicals Properties Library } Chemical Properties Library presents various thermodynamic properties for over 1500 pure components. Temperature dependent properties Liquid Mass Density Liquid Molar Density Liquid Viscosity Thermal Conductivity of the Liquid Heat Capacity of Liquid Saturated Vapor Pressure Heat of Vaporization Surface Tension Rackett Liquid Molar Volume Constant properties Molecular weight, Normal boiling point, Acentric factor, Liquid molar volume at 298.15 K, Critical temperature, Critical pressure, Critical volume, Critical compressibility, Dipole moment, van der Waals reduced volume, van der Waals area, Refractive index, Auto ignition temperature
  • 37. Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
  • 38. Contents Introduction Challenges in Continuous Chromatography Process ChromWorks for “Useful” Toolbox in Modeling and Simulation The Software Features and Capabilities Live Demonstration YouTube Movies and Contact Information
  • 39. { 2-2-2-2 SMB Simulation }
  • 40. { 2-2-2-2, 2-3-2-1 VARICOL Simulation }
  • 43. ChromWorks Movies in YouTube SMB Simulation (GUI Demo) http://youtu.be/HGovvG4RPbM VARICOL Simulation (GUI Demo) http://youtu.be/DkfzQ_PHZ8E?hd=1 Run Simulation on Excel http://youtu.be/9jbYI60ZNjg?hd=1 Non-Langmuirian (Case M1) Batch Chromatography http://youtu.be/aowo1JSWpZ4?hd=1 Non-Langmuirian (Case M2) Batch Chromatography http://youtu.be/VDeJw76f8Cw?hd=1 Adaptive Mesh Refinement – Batch Chromatography http://youtu.be/lCOUzCxxI10
  • 44. Contact Information ChromWorks Website: www.chromworks.com Support email: support@chromworks.com YouTube Channel: www.youtube.com/user/chromworks Feel free to contact us if you need a trial version or more information on the software in Pharma CHROMWORKS Create a unique usefulness in continuous chromatography Copyright © 2011 ChromWorks, Inc. www.chromworks.com