FDA Process Validation Def
Collection and evaluation of data from process design to commercial production stage. Scientific evidence; consistently delivers quality product
EMA Process Validation Def
Documented evidence that the process (operated in established parameters). Effectively and reproducibility to produce medicinal product to meet predetermined specifications and quality attributes
Purpose of Process Validation
Confirms proper design of manufacturing process to ensure quality product (quality assurance, defect minimisation and reduces cost). Regulatory requirement: evidence for process control
FDA Process Validation Stages
Process Design, Process qualification and Continued process validation
FDA Process Design Outline
Commercial manufacturing based on knowlege gained through development and up-scale up activities
FDA Process Qualification Outline
Evaluation of process design to determine if capable of reproducible commercial manufacturing. 2 parts: Facility Design & Qualification of Utilities and Process Performance Qualification
FDA Continued Process Verification Outline
Ongoing assureance (in control) gained in execution of routine process
EMA Equivalent to FDA’s Continued Process Verification
Ongoing Process Validation
EMA Pharmacovigilance, FDA Equivalent
PPQ part 2 phase
3 Stages of Product Lifecycle
Product & process dev, Commercial manufacture process and Process control maintenance
Areas FDA & EMA Guidance
Drug product, Drug substance and Biologics for Human & Vetinary medicines
3 Different Forms of Process Validation
Traditional, Continuous and Hybrid
EMA Traditional Process Validation Outline
When pharmaceutical/process dev is concluded and scale up production scale prior to marketing. Manufacture number of consecutive batches at production scale under normal operating procedures
Number of Batches Consideration
Process variability, Process complexity, Knowledge gained, Supportive Commercial scale data, Manufacturer overall experience
Min batches for Traditional Process Validation
3 production batches (unless otherwise specified). 1 or 2 may suffice if enough data’s generated from piolet scale. Needed for critical manufacturing steps, conduct additional tests as necessary
EMA Continuous Verification Outline (NOTE: Different from FDA’s)
Pre-approval eval for products developed by QbD approach to ensure adherence to control strategy and high assurance of product quaity. Enabled by Process Analytical Tech & Multivariate Statical Process Control
How is EMA’s Continuous Verification Different from FDA’s
Continuos FDA = Ongoing EMA = Post-Approval. Continuos EMA = during approval
EMA Continuous Process Validation Methods
At line (sample extracted from line, tested with equip in room and disposed), In line (probes on line, sample doesn’t need to be extracted), On line (sample extracted, tested in room & returned). Or QC labs
EMA Hybrid Process Approach
Traditional and continuous verification at different steps of same process. Used for: Post-authorisation validation activities and Ongoing process verification
Validation Considerations
Cover all manufacturing site, Bracketing approach (if eval different batch sizes, strengths & pack sizes), GMP Compliance, Data needs to be in dossier and accessible at manufacturing site at all times
Process Validation Pre-Requisite
Pharmaceutical/process dev at commercial scale is concluded, Equipment & utiles qualifications concluded, Validated analytical test methods, Trained personnel and Approved process validation protocol
Process Validation Protocol Outline
Specifies manufacturing; conditions, controls, testing & expected outcomes for process validation stages
Process Validation Includes
Purpose, Scope, Pharmacovigilance background & overview, Manufacturing batch record, Study design (Lot number, Batch size, In-process controls), Acceptance criteria, Materials/methods/equipment list, Process validation plan and Approval Protocol
Process Validation Report Outline
Pharmacovigilance conclusion. Discuss & cross-reference protocol, Data summary & analysis, Unexpected observation eval, Describe corrective actions & changes, Data clear conclusions, Quality unit review & approval