Ion Chromatography Method Development

Learn key steps and strategies for IC method development.  Practice on example applications and systems in the laboratory setting, optimizing separation, improving sensitivity and selectivity, and automating sample preparation.

Who should attend?

Method developers, lab managers or supervisors.

Prerequisites:

6+ months hands-on experience with Metrohm IC systems and MagIC Net software; completion of Fundamentals of IC or other Metrohm IC course

What knowledge will you leave with?  

Best practices and hands-on experience in conducting method development on Metrohm IC systems.

Price: $2,700 USD/ $3,550 CAD

 

Dates & Locations (click to register)

Day 1: IC Theory and System Setup

 DAY 1:  IC THEORY AND SYSTEM SETUP

  • Ion chromatography theory: Separation mechanisms; detection methods; sample preparation
  • Metrohm Application Knowledgebase: Learn how to research existing solutions to an analytical need; identify base systems and parameters (separation, detection and sample preparation)
  • Best practices in IC analysis: Water systems; solution and standard preparation; system care
  • MagIC Net method programming: Device settings, time program, results and custom calculations
  • Hands-on application tests: Apply the principles of method development- choose from example applications and configurations, configure and equilibrate systems, run initial tests
Day 2: Method Optimization and Troubleshooting

DAY 2:  METHOD OPTIMIZATION AND TROUBLESHOOTING

  • Date evaluation: MagIC Net database features, integration and reprocessing review
  • Separation optimization: Evaluate the separation tests run and apply the appropriate optimization technique (eluent modifiers, temperature, gradient profiles)
  • Detection methods: Evaluate sensitivity; evaluate selectivity changes with different detectors
  • Sample preparation: Manual and automated techniques; demonstrations of automated in-line sample preparation
  • Troubleshooting: Loss of response/ detector noise; pressure issues; reproducibility issues
Day 3: Data Review

DAY 3: DATA REVIEW 

  • Evaluation of experiments: Optimize calibrations; evaluate reproducibility; evaluate recovery; cross-contamination check; control charts; data exports
  • Data presentation
  • IC maintenance and system longevity: Review routine maintenance regime; hands-on maintenance practice