USFDA process validation.pptx PEOCESS VALIDATION
- 1. USFDA GUIDELINES ON PROCESS VALIDATION SUBJECT: 202T PHARMACEUTICAL VALIDATION Presented by:Riya rai MPharm Semester 2 Department of Pharmaceutical Quality Assurance
- 2. 2 Contents ■ Introduction ■ Background ■ Regulatory requirements ■ Recommendations Stage 1: Process Design Stage 2: Process Qualification Stage 3: Continued Process verification ■ Concurrent release of PPQ batches ■ Documentation ■ Analytical Methodology ■ Conclusion ■ References
- 3. 3 Introduction ■ This guidance outlines the general principles and approaches that FDA considers appropriate elements of process validation for the manufacture of drugs or products. ■ This guidance aligns process validation activities with a product lifecycle concept and with existing FDA guidance, including the FDA/ICH guidances for industry, Q8(R2) Pharmaceutical Development, Q9 Quality Risk Management, and Q10 Pharmaceutical Quality System.
- 4. 4 Background 1) Process Validation and Drug Quality 2) Approach to Process Validation : ■ Stage 1 – Process Design: The commercial manufacturing process is defined during this stage based on knowledge gained through development and scale-up activities. ■ Stage 2 – Process Qualification: During this stage, the process design is evaluated to determine if the process is capable of reproducible commercial manufacturing. ■ Stage 3 – Continued Process Verification: Ongoing assurance is gained during routine production that the process remains in a state of control.
- 5. 5 Regulatory requirements for process validation ■ Process validation for drugs (finished pharmaceuticals and components) is a legally enforceable requirement. ■ Process validation is required by the CGMP regulations in parts 210 and 211 of 21 CFR. Validation requires that control procedures are established for ■ to monitor the output and to validate the manufacturing process so that the factors responsible for variability are controlled.
- 6. 6 ■ Sampling and testing of in-process materials and drug products. ■ in-process specifications and to control batch-to-batch variability. ■ Equipment must be of appropriate design, adequate size, and suitably located to facilitate operations for its intended use. ■ the CGMP regulations require that manufacturing processes be designed and controlled to assure that in-process materials and the finished product meet predetermined quality requirements and do so consistently and reliably.
- 7. 7 Recommendations for process validation General Considerations : ■ An integrated team approach to process validation that includes expertise from a variety of disciplines. e.g., process engineering, industrial pharmacy, analytical chemistry, microbiology, statistics, manufacturing, and quality assurance. ■ Risk based decision making should be employed. ■ All attributes and parameters should be evaluated in terms of their roles in the process and impact on the product or in-process material.
- 8. 8 ■ The degree of control over those attributes or parameters should be commensurate with their risk to the process and process output. ■ Homogeneity within a batch and consistency between batches are goals of process validation activities.
- 9. 9 Stage 1 ― Process Design : The goal of this stage is to design a process suitable for routine commercial manufacturing that can consistently deliver a product that meets its quality attributes. It consists of two steps – ■ Building and Capturing Process Knowledge and Understanding ■ Establishing a Strategy for Process Control
- 10. 10 Building and Capturing Process Knowledge and Understanding ■ Product development activities provide key inputs to the process design stage, such as the intended dosage form, the quality attributes, and a general manufacturing pathway. ■ The functionality and limitations of commercial manufacturing equipment should be considered in the process design, ■ as well as variability posed by different component lots, production operators, environmental conditions, and measurement systems in the production setting.
- 11. 11 ■ Design of Experiment(DOE) studies can help develop process knowledge by revealing relationships between the variable inputs and the resulting outputs. ■ Risk analysis tools can be used to screen potential variables for DOE studies to minimize the total number of experiments conducted while maximizing knowledge gained. ■ Activities and studies resulting in process understanding must be documented. ■ This information is useful during the process qualification and continued process verification stages.
- 12. 12 Establishing a Strategy for Process Control ■ Strategies for process control can be designed to reduce input variation, adjust for input variation during manufacturing. ■ The type and extent of process controls can be decided by earlier risk assessments, then enhanced and improved as process experience is gained. ■ More advanced strategies involve the use of process analytical technology (PAT), can include timely analysis and control loops to adjust the processing conditions so that the output remains constant. Operational limits and in-process monitoring is essential in two possible scenarios: ■ When the product attribute is not readily measurable due to limitations of sampling or detectability (e.g., microbial contamination) ■ When well-defined quality attributes cannot be identified.
- 13. 13 Stage 2 ― Process Qualification ■ During this stage, the process design is evaluated to determine if it is capable of reproducible commercial manufacture. It has 2 elements: ■ Design of a Facility and Qualification of Utilities and Equipment ■ Process Performance Qualification(PPQ)
- 14. 14 Design of a Facility and Qualification of Utilities and Equipment ■ Design qualification ■ Installation qualification ■ Operational qualification ■ Performance qualification
- 15. 15 Process Performance Qualification(PPQ) ■ The approach to PPQ should be based on sound science and the manufacturer’s overall level of product and process understanding and demonstrable control. ■ The cumulative data from all relevant studies(e.g., designed experiments; laboratory, pilot, & commercial batches) should be used to establish the manufacturing conditions in the PPQ. ■ In most cases, PPQ will have a higher level of sampling, additional testing, and greater scrutiny of process performance than would be typical of routine commercial production.
- 16. 16 PPQ Protocol ■ A written protocol that specifies the manufacturing conditions, controls, testing, and expected outcomes is essential for this stage of process validation. It includes: ■ The manufacturing conditions, including operating parameters, processing limits, and component (raw material) inputs. ■ The data to be collected and when and how it will be evaluated. ■ Tests to be performed and the sampling plan ■ Review and approval of the protocol by appropriate departments and the quality unit.
- 17. 17 PPQ Protocol Execution ■ Execution of the PPQ protocol should not begin until the protocol has been reviewed and approved by all appropriate departments, including the quality unit. ■ The commercial manufacturing process and routine procedures must be followed during PPQ protocol execution.
- 18. 18 PPQ Report ■ A report documenting and assessing adherence to the written PPQ protocol should be prepared in a timely manner after the completion of the protocol. This report should: ■ Summarize data collected and analyse the data, as specified by the protocol. ■ Summarize and discuss all manufacturing nonconformances such as deviations, aberrant test results, or other information that has bearing on the validity of the process. ■ Describe in sufficient detail any corrective actions or changes that should be made to existing procedures and controls. ■ Include all appropriate department and quality unit review and approvals.
- 19. 19 Stage 3 ― Continued Process Verification ■ A system or systems for detecting unplanned departures from the process as designed is essential to assurance that the process remains in a state of control (the validated state) during commercial manufacture. ■ An ongoing program to collect and analyse product and process data that relate to product quality must be established ■ The data should be statistically trended and reviewed by trained personnel.
- 20. 20 ■ a process is likely to encounter sources of variation that were not previously detected or to which the process was not previously exposed. Many tools and techniques, some statistical and others more qualitative, can be used to detect variation, characterize it, and determine the root cause. ■ Data gathered during this stage might suggest ways to improve and/or optimize the process. ■ Depending on the impact of change, additional process design and process qualification activities could be warranted.
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- 22. 22 Concurrent release of PPQ batches ■ In special situations, the PPQ protocol can be designed to release a PPQ batch for distribution before complete execution of the protocol steps and activities, i.e., concurrent release. Ex: Drugs for which there is limited demand (e.g., orphan drugs, minor use and minor species veterinary drugs) or which have short half-lives (e.g., radiopharmaceuticals). ■ for drugs that are medically necessary and are being manufactured in coordination with the Agency to alleviate a short supply.
- 23. 23 Documentation ■ Documentation at each stage of the process validation lifecycle is essential for effective communication . ■ knowledge gained about a product and process is accessible and comprehensible to others involved in each stage of the lifecycle. ■ Helps in informed science-based decision to support the release. ■ The degree and type of documentation required by CGMP vary during the validation lifecycle. ■ Greatest during Stage 2, and Stage 3.
- 24. 24 Analytical methodology ■ Process knowledge depends on accurate and precise measuring techniques used to test and examine the quality of drug components, in-process materials, and finished products. ■ Validated analytical methods are not necessarily required during product and process development activities. ■ Nevertheless, analytical methods should be scientifically sound (e.g., specific, sensitive, and accurate) and provide results that are reliable. ■ There should be assurance of proper equipment function for laboratory experiments.
- 25. 25 Conclusion ■ Validation offers assurance that a process is reasonably protected against sources of variability that could affect production output, cause supply problems, and negatively affect public health. ■ Process validation is considered as a one-time event or a focused one- time task performed just prior to commercial launch. ■ Lifecycle approach to process validation encom passes product and process activities beginning in development and continuing throughout the com mercial life of the product.
- 26. 26 References ■ USFDA Guidance for Industry, Process validation: General principles and practices; January 2011.
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