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Integration of Online TOC Analysis with a CIP Skid for Real-Time Cleaning Validation, Verification, and Monitoring

Why It Is Important:

In this webinar we describe practical online integration of the Sievers M9 TOC Analyzer with a CIP skid for accurate real-time data. This enables cleaning cycle optimization while building quality and process understanding into the program.

Who should attend:

  • Professionals in Cleaning Validation, Cleaning Program Design, and Equipment Qualification
  • Professionals in Analytical Method Development, Quality Control, and Quality Assurance

Speaker

Michelle Neumeyer
Life Science Product Applications Specialist
Suez
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Overview

Total Organic Carbon (TOC) and conductivity analysis are commonly used in cleaning validation applications because of the accuracy and precision in assessing the general cleanliness of equipment and processes. Current pressures to meet today’s production demands are motivating companies to implement Process Analytical Technology (PAT). The FDA PAT guidance document encourages manufacturers to embrace online technology to continuously demonstrate validation, understand the process, and ultimately build quality into products.

In this webinar we describe practical online integration of the Sievers M9 TOC Analyzer with a CIP skid for accurate real-time data. This enables cleaning cycle optimization while building quality and process understanding into the program.

This webinar will cover the following topics:

  • PAT guidance and how to apply it to a cleaning validation program.
  • Considerations when moving from laboratory to online analysis.
  • Advantages of online monitoring capabilities.
  • Practical implementation – discussion of three unique sampling scenarios and how the Sievers M9 can accommodate challenging sampling logistics.
  • How to leverage data for troubleshooting, optimization, and assessing trends.

Who should attend:

  • Professionals in Cleaning Validation, Cleaning Program Design, and Equipment Qualification
  • Professionals in Analytical Method Development, Quality Control, and Quality Assurance

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