1) Prospective process validation requires a planned program from early development stages and utilizes information generated throughout development to validate the final production process.
2) Key aspects of the validation program include experimental design, documentation, defining objectives and variables, and maintaining effective organization and communication among team members.
3) The validation is supported by a master documentation file containing all information needed to set up the validated production process.
2. Prospective Process Validation
Validation is an essential procedure that demonstrates
that a manufacturing process, operating under defined
standard condition, is capable of consistently producing
a product that meets the established product
specifications.
Validation as a stand-alone item or an afterthought at
the end of the entire product development sequence.
The process can be considered validated if the first two
or three batches of product satisfy specification.
3. Organization:
Prospective validation requires a planned program
and organization to carry it to. Successful completion
.
The organization must have clearly defined areas of
responsibility and authority.
The structure must be tailored to meet the
requirements in the specific organization, and these
will vary from company to company.
A defined structure exists, is accepted, and is in
operation.
An effective project management structure will have
to be established in order to plan, execute, and control
the program.
4. Documentation: An effective prospective validation program must be
supported by documentation extending from product initiation to full-scale
production. The complete documentation package can be referred to as the
master documentation file.
Product development:
Product development usually begins when an active an active chemical entity
has been shown to possess the necessary attribute for a commercial product.
The product development activities for the active chemical entity, formulation,
and process from the foundation upon which the subsequent validation data
are built.
Generally, product development activities can be subdivided into
formulation development and process development.
Documentation & Product development:
5. 1) Preformulation profile, which include all the basic physical or chemical
information about the chemical entity.
2) Formulation profile, which consist of physical and chemical characteristics
required for the product, drug-excipient compatibility studies, and effect of
formulation on in vitro dissolution.
3) Effect of formulation variables on the bioavailability of the product.
4) Specific test method
5) Key product attributes and specifications
6) Optimum formulation
Formulation development:
6. Process Development
1) Develop a suitable process to produce a product which meets all:
a) Product specification.
b) Economic constraints.
c) Current good manufacturing practices (CGMPs).
2) Identify the key process parameter that affects the product attributes.
3) Identify in-process specification and test methods.
4) Identify generic and specific equipment that may be required.
Process development can be divided into several stages:
Design
Ranging
Characterization
Verifications.
Process development activities begin after
the formulation has been developed.
7. Initial planning stages of process development.
Technical operation in both the manufacturing and quality control
department should be consulted.
The practically and the reality of the manufacturing operation should be kept
in perspective.
Key documents for the technical definition of the process a
the flow diagram, the cause-and-effect diagram, and the influence matrix. The details
of the cause-and-effect diagram and influence matrix will be discussed under
experimental approach in a later section.
Process-ranging studies will test whether identified parameter are critical to the
product and process being developed. These studies determine the:
Feasibility of the designed process.
Criticality of the parameter.
Design & Ranging
8. Process characterization provides a systematic examination of critical variables found
during process ranging.
Objectives:
Confirm key process control variables and qualify their effect on the attributes.
Establish process condition for each unit operation.
Determine in-process operating limits to guarantee acceptable finished product and yield.
Before a process is scaled up and transferred to production, verification is
requiring.
This ensures that it behaves as designed under simulated production condition and
determines its reproducibility.
Key element of the process verification runs should be evaluated using a well-
designed in-process sampling procedure.
These should be focused on potentially critical unit operations.
Validated in-process and final-product analytical procedure should always be used.
Sufficient replicate batches should be produced to determine between and within –
batches variation.
Characterization & Verification
10. Process ranging and characterization
reports
Development batch record
Raw material specification
Equipment list
Process flow diagram
Process variables tolerance
Operating instruction for equipment
In-process quality control program
including:
Sampling interval
Test method
Finished Product
Stability
Development Documentation
Critical unit operation
Final product specifications
Safety evaluation
Chemical
Process
Special production facility
requirements
Cleaning
Procedure for equipment and
facilities
Test methods
Stability profile of the product
Produced during process
development
Primary packaging specification
11. A suitable production facility for every manufacturing process.
Facility: building, equipment, staff, and supporting function.
The development of the final full-scale production process
proceeds through the following steps:
Process scale-up studies
Qualification trials
Process qualification supporting function.
Development of The Manufacturing Capability &
Full-scale Product/Process Development
12. Scale-Up Studies, Qualification Trials
& Process Validation Runs
Pilot-scale process or Research scale to a Fullscale process ..Planning and
Implementation.
Many scale-up parameters are nonlinear.
It usually begins when process development studies in the laboratory have
successfully shown that a product can be produced within specification limits
for defined ranges of process parameters.
Manufacture one or more batches at full scale to confirm that the entire
manufacturing process, comprising several different unit operations,
Occur prior to or after the regulatory submission, depending on the strategy
used in filing.
The validation protocol is usually the joint effort.
Research and development
Pharmaceutical technology or technical services
Quality control (quality assurance)
Manufacturing
Engineering
13. A Complete Qualification Protocol
Safety instructions
Environmental restrictions
Gas or liquid discharge limitations
Solid or scrap disposal instructions
Equipment
Description
Operation
Cleaning
Raw materials
Pertinent characteristics
Acceptance limits
Analytical methods
Packaging and storage
Handling precautions
Process flow chart
Critical parameters and related means of
controls
Responsibilities of groups participating
Cleaning validation/verification requirements
Master batch components (percentage by weight)
Production batch component (by weight)
Process batch record
Process sequence
Process instructions
Material usage
Product testing
In-process testing and acceptance criteria
Finished product testing and acceptance
criteria
Test method references
Formulation
Validation sampling and testing
In-process
Finished product
Definition of validation criteria
Lower and upper acceptance limits
Acceptable variation
Cleaning sampling plan
14. Master Product Document
The documents that are required for manufacturing the product.
Capable of providing all of the information necessary to set up
the process to produce a product consistently and one that meets
specifications in any location.
• Batch manufacturing record
• Master formulation
• Process flow diagram
• Master manufacturing
instructions
• Master packaging instructions
• Specifications
• Sampling (location and
frequency)
• Test methods
• Process validation data
15. ➢ To examine experiments or combination of related experiments that
make up development programs.
➢ Emphasis on techniques to increase development program effectiveness.
➢ A logical and systematic approach to each experimental situation is
essential.
➢ Balance between over planning and under planning.
➢ It is usually impossible to define a substantial experimental effort at the
beginning and then execute it in every detail without modification. To
overcome this, it is convenient to split the program into a number of
stages.
➢ Each stage = Several specific experiments.
Defining Experimental Programs
16. ➢ The earlier experiments tend to supply initial data concerning the process and
define preliminary operating ranges from important variables.
➢ As result become available from each stage, they can be used to assist in
defining subsequent stages in the experimental program.
➢ In some cases, it may be necessary to redefine completely the remainder of the
experimental program on the basis of earlier result.
Techniques to help improve experimental program effectiveness.
A logical and systematic approach coupled with effective communication among
individuals associated with the program is emphasized.
Topics to be discussed include:
Defining program scope
Process summary
Experimental design and analysis
Experiment documentation
Program organization
17.
18. Defining a clear and detailed set of objective is a
necessary first step in any experimental program. Some
similarity exists between objectives for different product
and processes using similar existing technology.
Program Scope:
19. Process summary:
An initial clear understanding of the formulation and/or
process is important. The following techniques can assist in
summarizing current process knowledge.
1) Flow diagram
2) Variable and responses
3) Cause-and-effect diagram
4) Influence matrix
20. Flow Diagram
Provide a focal point of early
program planning activities.
Flow diagram complexity will
depend on the particular product
and process.
The flow diagram provides a
convenient basis on which to
develop a detailed list of
variables and responses.
22. An efficient representation of
complex relationships
between many process and
formulation variables
(causes), and a single
response (effect)
Cause-and-Effect Diagram
25. Experimental design and analysis
Design : offer efficiency, complexity, and
effectiveness in achieving experimental
objectives.
26. Types of design:
The best course of action to examine the
experimental situation carefully, including;
specific objectives
available resources
availability of previous therotical and experimental
result
relevant variables and responses
qualification and experience of research team
members
cost of experimentation
27. Data Analysis
The appropriate analysis of the experimental result will depend
on the experimental objectives, the design used, and the
characteristics of the data collected during the experiment.
28. Experiment documentation:
Objectives
Experimental design:
Proposed/alternate test method:
A list of test methods consistent with the type of experiment being performed
A detailed description of the steps necessary to obtain a valid measurement
Documentation supporting the accuracy, precision, sensitivity, and test methods
Equipment procedures:
Sampling plans:
Protocol
Data record
Report
Documentation is essential to program planning and coordination, in
addition to the obvious use for the summary of activities and results.
29. Program Organization:
Throughout the experimental phases of prospective
validation, it is essential to maintain effective
communication among various team member.
This is facilated by having one individual with the
necessary technical and managerial skills assume
responsibility for the experimental program, including
procuring resources and informing management of
progress.
In a large experimental program, the responsible
individual may serve as a project leader or manager
with little or no technical involvement.
30. Prospective validation of a production process utilizes information
generated during the entire development sequence that produced the final
process.
Validation begins at the indication that a final production process will
evolve from a potential product concept.
As a potential product moves through the various development stages,
information is continually generated and incorporated into a master
documentation file.
When the qualification runs are planned for the final process, they will be
based on the master documentation file contents.
The information generated during the qualification runs is usually the last
major item to go into the master documentation file.
An abstract of the master documentation file is the master product
document. The master product documents is the sourse of all information
required to set up the process at any lacation.
SUMMURY