Advanced Automated Media Fill Simulation Training Course

Biotechnology and Pharmaceutical Development

Advanced Automated Media Fill Simulation Training Course is meticulously designed for professionals seeking to master the complexities of advanced automation, data integrity, and the root cause analysis of atypical MFS results

Advanced Automated Media Fill Simulation Training Course

Course Overview

Advanced Automated Media Fill Simulation Training Course

Introduction

Automated Media Fill Simulation (MFS) is the gold standard for validating aseptic processing in modern sterile manufacturing. Given the increasing scrutiny from regulatory bodies like the FDA and EMA, and the shift toward fully automated isolator and RABS (Restricted Access Barrier Systems) technology, simply running a traditional MFS is no longer sufficient. Advanced Automated Media Fill Simulation Training Course is meticulously designed for professionals seeking to master the complexities of advanced automation, data integrity, and the root cause analysis of atypical MFS results. We will move beyond the basics, focusing on optimizing cycle design for worst-case scenarios, implementing advanced statistical analysis, and ensuring full compliance with current Annex 1 and cGMP requirements.

The modern pharmaceutical landscape demands impeccable adherence to sterility assurance. The failure of an MFS represents a critical breakdown in process control, often leading to costly investigations, batch recalls, and significant reputational damage. This course addresses this head-on by providing practical, in-depth knowledge of simulating highly automated, high-speed filling lines. Participants will gain proficiency in risk assessment methodologies, including FMEA (Failure Mode and Effects Analysis), specifically applied to automated MFS. Furthermore, we will delve into the critical aspects of electronic batch record (EBR) integration, audit trail review, and ensuring robust data governance across all MFS activities. Master this crucial process to safeguard product quality and drive operational excellence in your sterile operations.

Course Duration

10 days

Course Objectives

  1. Validate and optimize High-Speed Automated MFS cycles under Worst-Case Scenario conditions.
  2. Implement Data Integrity best practices and ALCOA+ principles for electronic MFS records.
  3. Execute Root Cause Analysis and CAPA development for Atypical and Action-Limit MFS failures.
  4. Apply Advanced Statistical Process Control and Trend Analysis to MFS batch data.
  5. Design MFS protocols that fully comply with current EU GMP Annex 1 and FDA cGMP guidance.
  6. Master Aseptic Process Simulation for complex Isolator and RABS technologies.
  7. Perform comprehensive FMEA and Risk Assessment specific to automated filling equipment during MFS.
  8. Integrate Electronic Batch Record systems with MFS data collection and review.
  9. Develop robust Validation Master Plans that incorporate automated MFS strategies.
  10. Manage and execute effective MFS Deviations and Out-of-Specification investigations.
  11. Optimize Container/Closure Integrity testing integration within the MFS process.
  12. Ensure Personnel Qualification and Gowning validation using advanced MFS monitoring techniques.
  13. Drive Operational Excellence and Sterility Assurance through standardized MFS execution.

Target Audience

  1. Validation Engineers and Specialists.
  2. Quality Assurance (QA) and Quality Control (QC) Managers.
  3. Aseptic Processing and Sterile Manufacturing Supervisors.
  4. Regulatory Affairs Professionals.
  5. Audit and Compliance Personnel.
  6. Automation and Process Engineers.
  7. Microbiology Lab Managers.
  8. Operations and Production Directors.

Course Modules

Module 1: Foundational Principles of Advanced MFS

  • Review of current regulatory expectations: FDA cGMP, Annex 1 (2022), and PIC/S.
  • Defining the Worst-Case Scenario and its application to high-speed automation.
  • Integrating Risk-Based Thinking (ICH Q9) into MFS protocol design.
  • Understanding the role of HEPA filter integrity and dynamic airflow during simulation.
  • Case Study: Analyzing a regulatory warning letter tied to an inadequate Worst-Case MFS definition.

Module 2: Automated Filling Line Technology Deep Dive

  • Detailed analysis of Isolator and RABS system function and MFS challenges.
  • Mapping critical control points specific to robotic and high-speed rotary fillers.
  • Simulation of operator interventions under RABS and Isolator conditions.
  • Impact of different container types on MFS design.
  • Case Study: Troubleshooting media non-delivery issues on an automated syringe line MFS.

Module 3: Protocol Development and Validation Strategy

  • Developing Master Validation Plans (MVP) for MFS that cover multiple product types.
  • Designing protocols for Initial, Routine, and Revalidation MFS cycles.
  • Defining acceptance criteria: action limits, alert limits, and statistical rationale.
  • Sampling strategy for Aseptic Technique Monitoring during the run.
  • Case Study: Developing a complex MFS revalidation protocol following equipment change control.

Module 4: Advanced Data Integrity (DI) in MFS

  • Implementing ALCOA+ principles for all electronic and paper MFS records.
  • Review and validation of Audit Trails on automated filling equipment.
  • Securing and managing raw data generated by SCADA and PLC systems.
  • Strategies for preventing and detecting data manipulation or loss.
  • Case Study: Conducting a mock DI Audit on a simulated MFS batch record.

Module 5: Environmental and Personnel Monitoring Integration

  • Establishing correlation between viable environmental monitoring and MFS results.
  • Advanced techniques for gowning qualification and monitoring during the simulation.
  • Placement and rationale for active air sampling and surface sampling during MFS.
  • Managing glove integrity testing during the MFS execution.
  • Case Study: Investigating a correlation failure between high environmental counts and a clean MFS result.

Module 6: Root Cause Analysis (RCA) for Atypical Results

  • Systematic approach to MFS deviation investigation and OOS (Out-of-Specification) resolution.
  • Applying tools like Fishbone Diagrams and 5 Whys specifically to MFS.
  • Establishing the difference between assignable and unassignable causes of failure.
  • Developing effective and preventative Corrective and Preventative Actions (CAPA) plans.
  • Case Study: Conducting a full RCA on a single contaminant isolate from a large MFS batch.

Module 7: Statistical Process Control (SPC) and Trending

  • Introduction to Control Charts for monitoring MFS data over time.
  • Performing Quarterly and Annual MFS Trend Analysis as required by Annex 1.
  • Using statistical models to predict potential drift or system degradation.
  • Determining statistically significant changes in baseline contamination rates.
  • Case Study: Using a Shewhart control chart to identify a negative trend in MFS results across multiple quarters.

Module 8: Media Selection and Quality Control

  • Criteria for selecting the correct Tryptic Soy Broth (TSB) media vendor and batch.
  • Media Growth Promotion Test (GPT) execution and acceptance criteria.
  • Troubleshooting media sterilization and filtration issues that can impact MFS.
  • Shelf-life and storage considerations for prepared media.
  • Case Study: Analyzing a failed GPT and its potential impact on a historical MFS run.

Module 9: Interventions and Simulated Aseptic Manipulation

  • Categorizing and simulating all routine, non-routine, and emergency interventions.
  • Quantifying the risk factor associated with each type of intervention.
  • Designing MFS to ensure the Maximum Allowable Interventions are covered.
  • Training operators to perform interventions during the MFS process.
  • Case Study: Evaluating the impact of a high-risk manual intervention on MFS outcome.

Module 10: Process Simulation for Lyophilization (Freeze-Drying)

  • Adapting MFS protocols to include the stopper loading and lyophilizer interface.
  • Simulating the clean steam and vacuum break processes during MFS.
  • Designing the MFS to cover the transfer of product from filler to lyophilizer.
  • Challenges of MFS in Aseptic Transfer Carts and dock areas.
  • Case Study: Designing an MFS for a complex, multi-chamber lyophilization process.

Module 11: Cleaning, Sterilization, and Decontamination

  • Verifying CIP/SIP (Cleaning/Sterilization-in-Place) cycles prior to MFS execution.
  • Validation of VHP (Vaporized Hydrogen Peroxide) or other decontamination cycles for Isolators/RABS.
  • Impact of surface residue and sanitant efficacy on MFS results.
  • Developing disinfectant rotation and its integration with MFS scheduling.
  • Case Study: Investigating a potential carry-over issue from a failed VHP cycle preceding an MFS.

Module 12: Container/Closure Integrity (CCI) Testing

  • Integrating MFS with CCI testing validation for the final product container.
  • Understanding different CCI test methods
  • Simulating worst-case sealing parameters during the MFS run.
  • The regulatory expectation for combining Sterility Assurance and CCI.
  • Case Study: Analyzing a batch failure where MFS passed but CCI failed due to a sealer parameter drift.

Module 13: Audits, Inspections, and Regulatory Response

  • Preparing for FDA PAI (Pre-Approval Inspection) and EMA audits focused on MFS.
  • Effective presentation of MFS data, protocols, and investigation reports to inspectors.
  • Crafting a compliant and robust 483/Observation Response to MFS findings.
  • Addressing common regulatory pitfalls in MFS documentation.
  • Case Study: Role-playing an inspector interview focusing on MFS data governance.

Module 14: Personnel Training and Qualification

  • Developing a Certified MFS Operator Program for high-risk interventions.
  • Training programs for Microbiology and QC staff on incubation and isolate identification.
  • Maintaining Aseptic Gowning and Behavioral Monitoring standards.
  • Retraining and re-qualification strategies following MFS failures.
  • Case Study: Designing a retraining program based on a repeat intervention error during MFS.

Module 15: Future Trends and Automation in MFS

  • Introduction to Process Analytical Technology (PAT) and real-time monitoring of MFS.
  • Leveraging AI and Machine Learning for predictive MFS failure analysis.
  • The shift to Contamination Control Strategy (CCS) as mandated by Annex 1.
  • Exploration of robotic and glove-less Isolator technologies for MFS.
  • Case Study: Planning the MFS strategy for a new, fully robotic sterile facility startup.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

  • Interactive lectures and presentations.
  • Group discussions and brainstorming sessions.
  • Hands-on exercises using real-world datasets.
  • Role-playing and scenario-based simulations.
  • Analysis of case studies to bridge theory and practice.
  • Peer-to-peer learning and networking.
  • Expert-led Q&A sessions.
  • Continuous feedback and personalized guidance.

 

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Course Information

Duration: 10 days

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