Cleaning
Validation
Principles:
Developing,
Deploying and
Maintaining Your
Principles:
Maintaining Your
Cleaning Validation
Program
1 Cleaning ValidationCleaning Validation Principles
• ISPE Welcome and Opening Remarks • Course Leader Introduction
• Housekeeping • Breaks • Lunch • Emergency Egress • ISPE Membership • Evaluations
• Rules of the Road
?
• Rules of the Road• Overview of Notebooks
• Glossary / Acronyms • Index to Materials
Cleaning Validation Principles
Section DescriptionTable of Contents
1 2 3 4 5 6Regulatory Requirements for Cleaning Validation Fundamentals of Cleaning Validation
Cleaning Validation Master Plans Equipment Characterization SOP Development for Cleaning
Selecting Residues, then Developing and Maintaining Limits 7 8 9 10 11
Methods Validation and Recovery Studies Engineering Studies and Cycle Development Cleaning Validation Protocols
Field Execution -- Collecting and Testing Samples Cleaning Validation Reports and Beyond!
3 Cleaning Validation
Cleaning Validation Principles
• Creation of scientifically sound rationales validation protocols
Learning Objectives
Creation of scientifically sound rationales, validation protocols and reports
• Identification and characterization of potential residues including product, processing aids, cleaning agents and adventitious agents
• Selection of appropriate analytical methodology for your selected residues
• Determination of suitable sampling techniques and the selectionDetermination of suitable sampling techniques and the selection of sampling locations that represent challenging locations for your cleaning process
• Calculation of residue limits that meet all necessary regulatory requirements
4 Cleaning Validation
Cleaning Validation Principles
• Learning to manage the challenges of limits
Job-Focused Skills
Learning to manage the challenges of limits,
validation strategies and maintaining the validated
state in:
• Multi-product facilities
• Campaign-based production environments
• Differentiating the requirements for cleaning
lid ti
f
validation for:
• Manual
• Semi-automatic
• Automatic cleaning
5 Cleaning ValidationCleaning Validation Principles
• Determining scientific grouping or bracketing
Job-Focused Skills, cont.
• Determining scientific grouping or bracketing
approaches
• Comprehending common cleaning validation pitfalls
• Accomplishing analytical method validation and
recovery study requirements in cost-effective studies
• Evaluating your cleaning practices through internal
self-audits
audits
• Practicing what you have learned through hands-on
exercises
Class Introductions
• Name
• DepartmentDepartment
• Company
• Types of Products Your Company Produces • Status of Your Cleaning Validation Efforts
• What Topics / Questions You Came to Learn About
• This course is designed to address the concerns for all pharmaceutical dosage forms including the production of APIs pharmaceutical dosage forms, including the production of APIs • The principles are broadly applicable to IVD and consumer
products, as well
• If you have a question for your industry, please ASK!!
7 Cleaning Validation
Module 1
Regulatory
R
i
t f
Requirements for
Cleaning Validation:
“Limit”ing the Risk
8 Cleaning Validation
1997 – Quality System
Inspection Techniq e 2002 – 2004Ri k B d 1992/3 –
Mid-Atlantic Cleaning
1997 – HACCP Adopted for Food Industry
FDA Regulatory Timeline
(Relatively Speaking)
1978 – Last significant Update to Finished Pharmaceutical CGMPs 1986 – Process Validation Guidance 1996 – Quality System Regulation Issued for Devices Inspection Technique(QSIT) for Devices Risk-Based Inspection Approach Identified & Rolled Out Atlantic Cleaning Validation Inspection Guide Finalized as National Document 2001 – Drug Inspection Program (6 Subsystems of Quality) Piloted -1992 – First E-Rec
Rule Draft – Not Finalized Until 1996 (P11) 1996 – 2001 SUPAC Drafted 1991 – 1993 Inspection Guides Issued • Aseptic Processing
• Bulk Pharmaceutical Chemical • Solid Dosage Form
• Semi-Solid Dosage Form • Biotechnology
• Laboratories (QC and Micro)
Quality) Piloted -Finalized in 2002 1998 – API Draft Guidance Issued 1996 (P11) 1996 – Proposed Revision to GMPs 9 Cleaning Validation
Significant Sources of Regulation on
Cleaning and Cleaning Validation
• Worldwide GMPs,
(Especially EU Annex 15 (¶ 36) (2006) & GMP Part II (formerly (Especially EU Annex 15 (¶ 36) (2006) & GMP Part II (formerly Appendix 18) (2005)
• US FDA, Guide to Inspections of Validation of
Cleaning Processes (1993)
• Pharmaceutical Inspection Convention (PIC),
Recommendations on…Cleaning Validation (2001)
• Canadian HPFB, Cleaning Validation Guidelines
,
g
(2001)
• WHO Supplementary Guidelines on GMP: Validation
(2005)
Worldwide cGMPs
Design and construction features andEquipment design, size, and location 21 CFR 211.42 EU 3.1 – 3.2521 CFR 211.63 EU 3.34 – 3.44 Any building or equipment used in the manufacture, processing, packing, or holding of a drug product shall be of:
• Suitable size
• Suitable construction
• All surfaces can be readily contacted by cleaning process; accessed for inspection • Coved corners, free-draining, non-reactive,
non-additive, non-absorptive materials of construction
to facilitate cleaning, maintenance, and proper operations.
• Suitable location
construction
• Location appropriate to cleaning utilities / supplies; away from walls or other interfering surfaces
11 Cleaning Validation
Worldwide cGMPs
(continued)
Sanitation
Equipment cleaning and maintenance 21 CFR 211.5621 CFR 211.67 EU 4.26EU 4.28 • Written procedures for cleaning and for use of cleaning and
sanitizing agents shall be followed and shall: • Assign responsibility for sanitation • Describe in sufficient detail:
• Schedules Prevent malfunctions or
contamination that would alter the • Methods
• Equipment
• Materials to be Used
contamination that would alter the safety, identity, strength, quality, or purity of the drug product beyond the official or other established requirements.
12 Cleaning Validation
Worldwide cGMPs
(continued)
Equipment cleaning and maintenance 21 CFR 211.56 EU 4.26
21 CFR 211.67 EU 4.28
More specifics with regard to the procedures to be established:
• Responsibilities, Schedules, Methods, Equipment, Materials • Methods of Disassembling and Reassembling to ensure proper
cleaning and maintenance
• Removal or obliteration of previous batch identification
As before
• Removal or obliteration of previous batch identification • Protection of clean equipment from contamination prior to use • Inspection of equipment for cleanliness immediately before use • Records shall be kept of maintenance, cleaning, sanitizing, and
inspection
Record retention
Cleaning & Use Log
13 Cleaning Validation
Worldwide cGMPs
(continued)
Equipment cleaning and use log 21 CFR 211.182 EU 4.28 –
4.29
A written record of major equipment cleaning, maintenance and use showing, for each batch processed:
• Date • Time • Product • Lot number
• Signature and date of person(s) performing • Signature and date of person(s) double-checking For dedicated equipment, the records of cleaning, maintenance, and use shall be part of the sequentially numbered batch record (if no separate log is kept).
European Requirements – EC Guide to GMP
Overall, wording and content nearly identical to various
US requirements
Pertinent Sections:
Section 3: Premises and Equipment
(3.34 – 3.44 equipment design for cleanability)
Section 5: Production
(5.19 cross-contamination; 5.21 – 5.24 Validat. & Change Ctrl)
Annex 2: Manufacture of Biologicals
(15, 17 – design to promote cleanability)
15 Cleaning Validation
European Requirements – EC Guide to GMP
Overall, wording and content nearly identical to various
US requirements
Pertinent Sections:
Annex 15: Qualification and Validation
(36 – 42 – Cleaning Validation; 45 - Revalidation) – see next
GMP Part II: GMP for APIs
(5.2 – Equipment Maintenance and Cleaning; 6 2 Equipment Cleaning and Use Record; 6.2 – Equipment Cleaning and Use Record; 12.7 – Cleaning Validation) – aligns with ICH Q7A
Definition of Cleaning Validation
• Documented evidence to ensure that
cleaning procedures are removing
cleaning procedures are removing
residues to predetermined levels of
acceptability, taking into consideration
batch size, dosing, toxicology, equipment
size, etc.
- World Health Organization
• Note that this definition immediately
employs “risk-based” language
17 Cleaning Validation
Cleaning Validation –
Sections 36 – 42 of EU Annex 15 on Qualification
and Validation
• Cleaning validation should confirm effectiveness
g
of cleaning procedures; rationales should be
logical for:
• Limits for carry-over of drug product residue, cleaning
agents and microbial contamination
Cleaning Validation –
Sections 36 – 42 of EU Annex 15 on Qualification
and Validation
• Sufficiently sensitive validated analytical
methods should be employed
• Product contact surfaces only for validation;
although non-product contact parts should be
considered
• Intervals should be validated for:
• Time between use and cleaning
• Time between cleaning and reuse
19 Cleaning Validation
Cleaning Validation –
Sections 36 – 42 of EU Annex 15 on
Qualification and Validation
• Worst-case approaches for similar materials /
processes may be employed
processes may be employed
• Typically three consecutive trials should be
performed
• “Test Until Clean” is not an appropriate
substitute for validation
substitute for validation
20 Cleaning Validation
Cleaning Validation –
Sections 36 – 42 of EU Annex 15 on Qualification
and Validation
• Products which simulate the physiochemical
properties of the residues may be used where
properties of the residues may be used where
those materials are either toxic or hazardous
Revalidation - Section 45 of EU Annex 15
• Facilities, systems, equipment and processes,
including cleaning, should be periodically
g
g,
p
y
evaluated to confirm that they remain valid; a
review with evidence may suffice if no significant
changes were made
21 Cleaning Validation
Guide to Inspections of Validation of
Cleaning Processes (1993)
SOP Requirements
F
h
j
i
f
i
• For each major piece of equipment:
• Between batches of
same product
• Between batches of
different products
• For cleaning validation process, requiring:
• Cleaning validation protocols
S li d
Dedicate where equipment is difficult to clean or hazardous
• Sampling procedures • Analytical methods • Limits (“acceptable level”)
• Final Report
Guide to Inspections of Validation of
Cleaning Processes (1993) (continued)
Evaluation of Cleaning Process
• Examine objectivesof the validation process, written procedure and documentation
• Examinetrainingand level of experience of the cleaning operators • Examine allowed length of time
between the end of processing and each cleaning stepand its potential effect on the cleaning process
• Examine steps taken to prevent microbiological contamination At what point does a piece of equipment or system become clean? Does it have to be scrubbed by hand?
What is accomplished by hand scrubbing?
How variable are manual cleaning processes from batch to batch and product to product?
a e steps ta e to p e e t c ob o og ca co ta at o
IQ / OQ Elements to Consider
• Examine equipment design especially when using CIP
• Assure proper identification of process equipment to ensure correct implementation of cleaning procedures
23 Cleaning Validation
Guide to Inspections of Validation of
Cleaning Processes (1993) (continued)
Scientific Design of Analysis
D t
i
th
ifi it
d
iti it
f th
• Determine the specificity and sensitivity of the
analytical method(s) used to detect residuals or
contaminants
• Testing of rinse solutions should include
testing for
residues
or contaminants rather than for water quality
24 Cleaning Validation
Guide to Inspections of Validation of
Cleaning Processes (1993) (continued)
Scientific Design of Analysis
• Challenge analytical methods in combination
Challenge analytical methods in combination
with the sampling method(s) to
show recovery
• Sampling techniques include direct surface
sampling and sampling of rinse solutions
.
• “
Test until clean” systems should not be used. The
d f
t
ti
i di
t th t th
l
i
need for retesting may indicate that the cleaning
process is not validated.
25 Cleaning Validation
Guide to Inspections of Validation of
Cleaning Processes (1993) (continued)
Scientific Limits Determination
• FDA does not intend to set limits
• FDA does not intend to set limits
• Determine how the firm established their residue limits:
• Sensitivity of analytical methods is critical to establish valid limits • Logical, practical, achievable and verifiable
• Scientifically justifiable
• Three examples given:
10ppm, biological activity levels
1/1000 f
l th
ti d
d
l
ti
as 1/1000 of normal therapeutic dose and organoleptic
levels
• Cleaning Agents - “...no or very low detergent levels
remain after cleaning...”
UhOh! Don’t use words such as “absence, no or none” when creating your procedures or rationales!!Guide to Inspections of Validation of
Cleaning Processes (1993) (continued)
Other Important Statements:
• Microbiological aspectsMicrobiological aspectsof equipment cleaning should beof equipment cleaning should be considered; there should be some evidence that routine cleaning and storage of equipment does not allow microbial proliferation; equipment should be driedbefore storage
• “When variable residue levels are detected following cleaning, one must establish the effectiveness of the process and operator performance.”
• “Indirect testing, such as conductivity testing, may be of some value for routine monitoring once a cleaning process has been validated. … Any indirect test method must have been shown to correlatewith the condition of the equipment.”
27 Cleaning Validation
Guide to Inspections of Validation of
Cleaning Processes (1993) (continued)
Other Important Statements:
• “There are two general types of sampling that have been • There are two general types of sampling that have been
found acceptable. The most desirable is the direct method of samplingthe surface of the equipment. Another method is the use of rinse solutions.”
• “Rinse and/or swabsamples should be used in conjunction with the placebomethod” (when it is justified for use) • “The firm should challenge the analytical method in
bi ti ith th li th d( ) d t h th t combination with the sampling method(s) used to show that contaminants can be recoveredfrom the equipment surface and at what level, i.e. 50% recovery, 90%, etc.”
Does not mean that these values presented here are “acceptance criteria” for recovery.
28 Cleaning Validation
Guide to Inspections of Validation of
Cleaning Processes (1993) (continued)
Other Important Statements:
• “In establishing residual limits, it may not be adequateto focus only on the principal reactantsince other chemical variations may be more difficult to remove…. the issue of by-products needs to be considered if equipment is not
dedicated.”
• “When cleaning is between batches of the same product(or different lots of the same intermediate in a bulk process) the fi d l t it i f " i ibl l "f th
firm need only meet a criteria of, "visibly clean"for the equipment. Such between batch cleaning processes do not require validation.”
Not scientifically justifiable!! Does not consider by-products, cleaning agent, micro, the area in which the equipment is cleaned / stored, etc.
29 Cleaning Validation
PIC/S, Canadian and WHO
Guidance on Limits
Limits shall be logical, practical, achievable, verifiable; for
example, the most stringent of the following first three
criteria:
criteria:
• No more than 0.1% (1/1000th) of the normal therapeutic dose of any product will appear in the maximum daily dose of the following product
• No more than 10 ppm of any product will appear in another product
• No visible residue on the equipment after cleaning procedures are performed *
*Based on spiking studies that show the visible levelBased on spiking studies that show the visible level
• Also, for certain allergenic ingredients, penicillins, cephalosporins or potent steroids and cytotoxics, the limit should be below the limit of detection by best available analytical methods (or may require dedication)
US - May 1996 Proposed Revision to cGMPs
Being Revised as Part of Risk-Based GMPs
¶ 211.220 Process validation
• (a) The manufacturer shall
validate all drug product
• (a) The manufacturer shall
validate all drug product
manufacturing processes
including, but not limited to,
computerized systems that monitor and/or control the
manufacturing process.
• The manufacturing process includes all manufacturing
steps in the creation of the finished product
including
,
but not limited to the following procedures:
Cleaning
but not limited to, the following procedures:
Cleaning
,
weighing, measuring, mixing, blending, compressing,
filling, packaging, and labeling.
Cleaning is not only considered a step inthe manufacturing process, but it is the FIRST step in getting ready for the next process.
31 Cleaning Validation
US - May 1996 Proposed Revision to cGMPs
Being Revised as Part of Risk-Based GMPs
¶ 211.220 Process validation (continued)
• (b) Validation protocols that identify the product and product
ifi ti d if th d d t it i
specifications and specify the procedures and acceptance criteria for the tests to be conducted and the data to be collected during process validation shall be developed and approved.
• The protocol shall specify a sufficient number of replicate process runs to demonstrate reproducibilityof the process and provide an accurate measure of variability among successive runs
Number of runs to be justified. Rule of three typically applies.
Th b th i i !!
• Validation documentation shall include evidence of the suitability of materials and the performance and reliability of equipment and systems. The manufacturer shall document execution of the protocol and test results.
Three may be the minimum!!
32 Cleaning Validation
US - May 1996 Proposed Revision to cGMPs
Being Revised as Part of Risk-Based GMPs
¶ 211.220 Process validation (continued)
• (c) The manufacturer shall design or select equipment and ( ) g q p processes to ensure that product specifications are consistently achieved.
• The manufacturer's determination of equipment suitability shall include testing to verify that the equipment is capable of operating satisfactorily within the operating limits required by the process. • Parts of the process that may cause variabilityor otherwise affect
product quality shall be tested.
p q y
Considerations for worst-cases in cleaning validation include:
• Maximum hold times • Maximum residue loads • Minimum process parameters
during validation
33 Cleaning Validation
US - May 1996 Proposed Revision to cGMPs
Being Revised as Part of Risk-Based GMPs
¶ 211.220 Process validation (continued)
• (d) There shall be a quality assurance system in place which ( ) q y y p requires q revalidation whenever there are changesin packaging, component
characteristics, formulation, equipment, or processes, including reprocessing, that could affect product effectiveness or product characteristics, and whenever changes are observed in product characteristics.
Change control considerations include:
• Cleaning agents
• Cleaning process parameters • Cleaning procedures • Cleaning procedures • Training procedures • Formulation • Equipment
• Environments / storage locations for clean
equipment
• Introduction of a new product (as it might
affect the limit for an existing product – see limits section)
Module 2:
Fundamentals of
Cleaning Validation:
Emphasis on Fun!
35 Cleaning ValidationFirst, Some Definitions
Cleaning Validation
• Documented evidence that provides a high degree of
assurance that a cleaning process can reproducibly produce
a clean piece of equipment in accordance with the
designated specifications
• Generally cleaning validation applies the “rule of
three” for the number of validation trials to be
three for the number of validation trials to be
completed
36 Cleaning Validation
First, Some Definitions
Verification
• documented evidence that provides a high degree
of assurance that a single cleaning event can
produce a clean piece of equipment in accordance
with the designated specifications, suitable for the
next use
• Generally verification is used for development batches
Generally verification is used for development batches
where three may not be made or for infrequently
manufactured products; when three runs have been
completed they may be summarized as a validation if
all conditions used in the three studies were the same
37 Cleaning Validation
First, Some Definitions
• Certification– depending on the firm, certification often has the same meaning as verification; some companies
diff ti t tifi ti t d th t ill
differentiate certification as an expected process that will occur after each production event as a change over process, for example
• Monitoring– a routine evaluation of cleaning to determine whether the original cleaning validation conditions are still being achieved; may involve fewer samples or less invasive sampling techniquesp g q
• Engineering Trials– experimental cleaning trials that help to evaluate whether a cleaning process for a new / revised product or process will be effective; still requires validated test methods and sampling procedures
Fundamentals of Cleaning
Cleaning depends upon process control… T ime A ction C oncentration / Chemistry T emperature
Cleaning also depends upon the conditions of cleaning
conditions of cleaning… W ater
I ndividual Performing Cleaning N ature of Soil
S urface Being Cleaned
T.A.C.T. W.I.N.S. Example
40 Cleaning Validation
Influences on Cleaning
Equipment Type – Major, Minor, Dedicated, Non-Dedicated R l i th P U t Product Type Manufacturing Process
Surface
Soil
Chemistry
Role in the Process – Upstream, Downstream Materials of Construction Surface Finish Geometry / Complexity Manufacturing Process Hold Times Campaign Length
Soil
Chemistry
Water Quality TimeAction / Type of Cleaning – Manual (Individual), CIP, COP Concentration Temperature 41 Cleaning Validation
Equipment Categories
Major Equipment
-i t iti l t thAttributes of Each Category • Generally large and
equipment critical to the manufacturing process (usually has a unique identification number)
Minor Equipment
-apparatus and utensils (such
• Generally large and significant contributor to overall contamination • May be dedicated
• Generally small but may be used for highly concentrated as scoops, hoses, beakers)
which perform a support function
g y materials
Equipment Categories
Major Equipment
-i t iti l t thConsequences of Each Category S f
equipment critical to the manufacturing process (usually has a unique identification number)
Minor Equipment
-apparatus and utensils (such
• Significant contamination contributor; position / role in process will be highly critical • Generally easy to track for
cleaning status
• Generally not a significant contributor but we can’t leave as scoops, hoses, beakers)
which perform a support function
contributor, but we can t leave them out of our program • Difficulties arise in tracking of
small parts through the cleaning process
43 Cleaning Validation
Equipment Categories
Dedicated Equipment
q p
- Attributes of Each Categoryequipment which is used for the manufacture of one product only
Non-Dedicated Equipment
-i t l d f
• Lower risk of cross-contamination
• Multi-use nature presents equipment commonly used for
several products or processes
p significant cross-contamination concerns
44 Cleaning Validation
Equipment Categories
Dedicated Equipment
-Consequences of Each Category
equipment which is used for the manufacture of one product only
Non-Dedicated Equipment
-equipment commonly used for
• Potentially higher risk of degradant and impurity build-up, especially if campaigned
• Validation will be required
f h d t (
equipment commonly used for several products or processes
Remember the precautions stated earlier for the Guide to Inspection of Cleaning Validation Processes with regard to the pitfalls in not validating the cleaning of dedicated equipment.
for each product (or representative from a grouping / bracketing) • May also be at risk for
degradants and impurities if campaigning is observed 45 Cleaning Validation
Types of Cleaning
Manual Cleaning- scrub brushes and high pressure hoses used by
t t d t
• Adaptable to varying soil loads Attributes of Each Type
an operator to remove product
residue • Highly dependent upon training
Automated Cleaning(e.g., CIP – (Clean-In-Place) - cleaning performed by a control system or microprocessor which
automatically controls functions of wash, rinse and dry
Semi-Automated Cleaning(e g
• Reproducible if equipment is qualified for use
• Will not recognize variability in the incoming soil condition
Semi-Automated Cleaning(e.g., COP – Clean-Out-of-Place) -cleaning performed in a parts washer or sink; often requires manual intervention or
disassembly; may be automated
• Often combines strengths and weakness of the above
• May depend upon accurate load placement / disassembly for proper cleaning
Types of Cleaning
Manual Cleaning- scrub brushes and high pressure hoses used by an operator to remove product
• Lack of inherent reproducibility may require extensive monitoring over
Consequences of Each Type
an operator to remove product residue
require extensive monitoring over time
• Detailed procedures a must! Automated Cleaning(e.g., CIP –
(Clean-In-Place)- cleaning performed by a control system or microprocessor which
automatically controls functions of wash, rinse and dry
• Need to ensure that cleaning validation considers the worst-case soil loads or that production can adequately identify outliers for study in the future
Semi Automated Cleaning(e g
Semi-Automated Cleaning(e.g., COP – Clean-Out-of-Place) -cleaning performed in a parts washer or sink; often requires manual intervention or
disassembly; may be automated
• Detailed procedures and load maps are typically required • May require monitoring as
with manual above
47 Cleaning Validation
Position / Role in Process
Upstream i t l i th Ma ha e nreacted starting
Attributes of Each Position
Upstream – equipment early in the manufacturing process, for example primary reactors, initial culture, initial blending
• May have unreacted starting materials present on equipment • In-process materials may still be
“crude” in that they have not yet undergone purification
Downstream– equipment used later in the manufacturing or finishing process including such process steps as final
• Residues are less likely to be homogeneously distributed throughout the batch as often process steps as final
crystallization, purification or viral reduction, filling equipment or tableting equipment
throughout the batch as often there is limited mixing after the upstream processes
• Product is often purified
48 Cleaning Validation
Position / Role in Process
Upstream– equipment early in the
f t i f l • Additional residues may need to be
Consequences of Each Position
manufacturing process, for example primary reactors, initial culture, initial blending
considered for cleaning validation
Downstream– equipment used later in the manufacturing or finishing process including such process steps as final
crystallization, purification or viral reduction, filling equipment or
• Sampling sites will have to be selected highly critically to ensure that non-homogeneous distribution of residues does not adversely affect portions of batch
• Limits may need to be more reduction, filling equipment or
tableting equipment
Limits may need to be more conservative to accommodate the critical nature of many sampling sites • Be careful that purification processes
don’t concentrate contaminants
49 Cleaning Validation
Precautions with
Purification Processes
• Purification processes are generally intended to
remove process-related impurities only
• Don’t falsely assume that residues from prior
cleaning operations will be successfully removed
by purification without validation
Precautions with
Purification Processes
• Remember that cleaning validation affects the
next product to be produced – don’t assume that
next product to be produced don t assume that
the residues from a prior process will be
compatible with the next product or purification
process
If part of your rationale intends to use the
purification process as part of your basis for residue
or limits selection, remember that FDA stated in
Human CGMP Notes that impurities are intended to
come from the starting materials or the
manufacturing process itself and not from elements
left over from the cleaning process
51 Cleaning Validation
Module 3: Cleaning
Validation Master
Pl
It i Al
Plans: It is Always
Good to Have a
Plan
52 Cleaning ValidationTransformation of Data – Knowledge Management
Source: The Certified Quality Manager Handbook, 2ndEd., ASQ
Wisdom
Wisdom
Wisdom is derived from the collective database of knowledge, built from experience and values, by being able to see the connectivity among seemingly disparate knowledge sets enabling deductive solutions
Knowledge
Knowledge
Wisdom
Wisdom
Information
Information
Information has meaning, but the meaning is based on the interpretation of the user of the information.
Knowledge is built through the correlation and integration of information with policies, procedures and regulations.
knowledge sets enabling deductive solutions.
Data
Data
Data is meaningless unless something is done with it.
53 Cleaning Validation
Transformation of Data –
For Cleaning Validation
Wisdom
Wisdom
You will achieve wisdom when you understand whether or not your policies, procedures and master plans adequately support the complexity of your plant! Often in-depth analysis such as risk and impact assessments
Knowledge
Knowledge
Wisdom
Wisdom
Information
Information
Relate the various forms of data to understand the equipment, cleaning process and product residue interactions.
Establish policies, procedures and master plans that integrate the information collected about your plant.
in depth analysis such as risk and impact assessments are necessary to become truly enlightened!
Data
Data
Collect information about your equipment, products and processes.
So What Data Need to Be Collected?
Data Required Required For …
Formulation Attributes • Analytical method selection
(i.e., dosage, toxicity, concentration, excipients, degradants, impurities)
y
• Sampling method selection • Limits determination
• Worst-case determination (if grouping / bracketing) • Segregation requirements (if hazardous)
Equipment Characteristics
(i.e., materials of construction, geometry,
• Materials of Construction for Recovery Studies • Surface Area for Limits Determination • Hard to clean sampling locations or “hot spots”
• Sampling locations where non-homogeneous contamination is
surface area, cleaning procedure, cleaning agent, disassembly requirements)
likely or “critical sites”
• Worst-case determination (if grouping / bracketing)
• Segregation requirements (if highly difficult to clean effectively)
So What Data Need to Be Collected?
Data Required Required For …
Process Attributes
(i.e., batch size, upstream / downstream, extreme temperatures / holds, etc.)
• Residue selection • Limits determination • Sampling location selection
• Worst-case determination (if grouping / bracketing) • Segregation requirements (if hazardous)
Standard Operating Procedures
• Process parameters for validation • Witnessing requirements • Sampling locations
• Grouping / Bracketing (if applicable) • Grouping / Bracketing (if applicable)
So what activities convert
these Data into Information? . . .
Cleaning SOP Defintion
Engineering Operations Validation and Technical Operations
Equipment Characterization Critical Process Parameters Product Grouping / Bracketing Product Attributes Equipment Train Definition
Cleaning Validation Master Plan or Policy and SOPs for Cleaning Validation
Quality Control Cleaning Agent Usage Matrix Equipment Grouping / Bracketing Hard to Clean Locations Residue Selection Sampling Sites And MOC Methods Validation Recovery Studies
Hold Time Definition
W t C Limits Definition Sampling Method Selection Campaign Definition Protocol Definition Worst-Case Definitions Engineering Runs / Cycle Development
Protocol Execution and Summary Report Preparation
Now We Have Data and Information, Where
Does the Knowledge Come From?…
• Knowledge is the integration
of Information with policies
Wisdom
Wisdom
of Information with policies,
procedures and regulations
• We must first start by
creating our policies or
master plan for cleaning as
well as the SOPs that will
Knowledge
Knowledge
Information
Information
well as the SOPs that will
govern our Cleaning
Validation Program
Data
Data
What is a Master Plan*?
Our Needs for an Effective
Program:
Roles of the Master Plan:
• Single source for information • Consistent understanding by
all team members
• Assessment of what needs to be done and by whom
• Effective control of strategies to ensure that they are
• High Level Philosophy
• Framework for consistent risk-based decision-making • Inventory of actions and
projects, resource planning, scheduling
• Location to consolidate our to ensure that they are
consistent
• Less time spent by regulators in our facility
Location to consolidate our scientific rationales
• Single source for regulatory review
* Frequently Master Plans are called Project Plans, Validation Plans or Policies, depending on the site’s document hierarchy
59 Cleaning Validation
What are Typical
Master Plan Sections?
1. Introduction Objective and Scope 2. Description and Background 3. References4. Responsibilities 5. Validation Approach
• Strategy and organization
• Inventory of qualification activities to be accomplished
6. Acceptance Criteria (as appropriate) 7 Procedures & Format (as appropriate) 7. Procedures & Format (as appropriate)
8. Risk / Hazard / Failure Analysis (or may be in separate document) 9. Planning & Scheduling (as appropriate, high level, typically) 10. Appendices
60 Cleaning Validation
Master Plan Contents
• Introduction Objective and Scope - Goals of the
Master Plan and brief content insight as well as
boundaries of the Validation Project and of the
j
Master Plan
Typical scope boundary elements:
• Production areas included: marketed production,
clinical trial materials, R&D, laboratories, contract
manufacturer / packagers
manufacturer / packagers
• Types of Residues / Analysis included: chemical,
microbiological
61 Cleaning Validation
Master Plan Contents
• Description and Background - overview and
orientation to the facility, process, technology or
project; may include product overviews as
project; may include product overviews, as
appropriate
Typical elements:
• Program progress to date or significant iterations
• Dosage forms primary manufacturing processes
• Dosage forms, primary manufacturing processes,
significant attributes of products (e.g., toxic, potent),
production characteristics (e.g., batch, campaign)
Master Plan Contents
References - pertinent internal and external documents Examples include:
• Scientific rationales, SOPs, risk analyses, literature supporting key rationales or strategies
Avoid excessive generic references (e.g., GMPs)
Responsibilities – high level overview of key project participants – sufficient detail here may supercede the need to continue to reiterate responsibilities in protocols
Department Responsibilities QC Methods Validation QC Methods Validation Recovery Studies Analysis of Samples Engineering Surface Area Calculations
Materials of Construction ID Validation Protocol and Report Preparation Operations Cleaning in accordance with SOPs
Collecting samples
63 Cleaning Validation
Master Plan Contents
(continued)
Validation Approach – highlight the key elements of the
validation program
• Scientific rationales (see next slide) – the basis for the selection of the validation testing and trade-offs
• Basis for the selection of validation priorities (e.g., New product introductions, worst-case products, multi-purpose equipment, etc.) • Project management overview of the responsibilities for the
oversight of the cleaning validation program
• Inventory of validations to be accomplished or already li h d i f h l
accomplished in support of the plan
Cleaning Validation is as much about what you
choose not to do
as it is about what you
choose to
do.
Ensure your scientific rationales defend both!
64 Cleaning Validation
• Product grouping / bracketing rationale • Equipment grouping / bracketing rationale • Residue selection criteria
Scientific Rationales Will be Needed for …
• Limit selection and calculation rationale
• Analytical approach (specific / direct vs. non-specific/ indirect / screening)
• Sampling method selection • Sampling site selection criteria
• Others? (e.g., disassembly philosophy, campaign or minor clean strategies, etc.)
Document these well as these will serve as the guideposts for future personnel or auditors navigating your cleaning validation program.
65 Cleaning Validation
Master Plan Contents
(continued)
Acceptance Criteria
For cleaning validation, the acceptance criteria section
For cleaning validation, the acceptance criteria section
typically refers to the way in which the acceptance criteria
will be calculated; if more than one criterion applies, the
acceptance criteria section will need to define how the
terms will be applied
Visually Clean and Visually Clean and
1/1000thof a Therapeutic Dose or
Master Plan Contents
(continued)
Procedures & Format
Refers to Reference section for the procedures and formats
Refers to Reference section for the procedures and formats
to be followed; in some cases samples of specific
documentation samples or outlines of document headings
may be included
Scope – Products and Procedures Equipment Boundaries / Train Definition Pre-Requisites (e.g., methods validation,
recovery studies, IQ, OQ of equipment, training, etc.) Validation Study Design
Sampling Plan Acceptance Criteria
67 Cleaning Validation
Master Plan Contents
(continued)
• Risk / Hazard / Failure / Criticality / Impact Analysis – may
be provided here or in a separate document to substantiate
scientific rationales priorities trade-offs overall approach
scientific rationales, priorities, trade offs, overall approach,
CTQs or critical parameters
• Planning & Scheduling – include or reference a project
schedule for major milestones; if referenced, ensure that it
exists; if included, remember the audience and keep it high
level
• Appendices – sample flow diagrams for key processes,
specimen documentation formats, supporting
documentation for the approach, data tables of key product
attributes, tables including product-specific limits, etc.
68 Cleaning Validation
Other Possible Master Plan Contents
• Master Plans may also capture compliance and
regulatory requirements beyond validation in order
g
y
q
y
to ensure that the project correctly integrates
these activities with the completion of validation
• This is especially valid if the program is
undergoing any significant changes in strategy or
if
ti
ti
h
b
id
tifi d
if corrective actions have been identified
69 Cleaning Validation
Other Possible Master Plan Contents
• For example:
• SOP development
• Training package preparation and training of operators /
technicians
• Development of test methods or in-process controls
• Vendor audits / surveillance / visits
• Factory / Site Acceptance Tests (FAT / SAT) /
y
(
)
Commissioning and/or Qualification Activities for new
CIP or COP systems
Master Plan Maintenance
• Maintain a Revision History
• Circulate approved copies of the Validation
Circulate approved copies of the Validation
Project Plan to all involved departments
• Keep the Master Plan up to date with regard to
changes in priorities and schedule
• Place the Master Plan on a periodic review cycle
to ensure that there is frequent challenge to
to ensure that there is frequent challenge to
scientific rationales and current approaches to
validation
71 Cleaning Validation
Summary Reports for Master Plans
• In some cases, where a plan is developed for a
specific project such as a new product
i t d
ti
t t th
l
introduction, a summary report to the plan can
provide project closure
• In other cases, an annual summary can provide
updates on critical activities / accomplishments
f
i
hil
idi
hi hli ht
f
l
from prior year while providing highlights of goals
for next year
72 Cleaning Validation
Summary Reports for Master Plans
• Summary report to a Master Plan can provide:
• Closure to validation activities for regulators or
change control purposes
• Mechanism to describe and defend deviations
from the original plan
• Location to tie together disparate validation
protocols and reports and their conclusions in a
protocols and reports and their conclusions in a
high level overview
73 Cleaning Validation
Standard Operating Procedures
for Cleaning Validation
• Develop an infrastructure of procedures that define the
validation program responsibilities and activities.
validation program responsibilities and activities.
• Possible topics to include (in a single or in several SOPs):
• Equipment Characterization (New and Existing)
• Standard Operating Procedure Development for Cleaning • Developing and Maintaining Limits Calculations
• Cleaning Validation Methods Validation and Recovery Studies • Engineering Studies / Cycle Development g g y p
• Developing Cleaning Validation Protocols and Reports • Collecting and Testing Cleaning Validation Samples
• These topics will form the outline of the remaining sections
of the presentation
Module 4: Equipment
Characterization: Do
t L
“Sit ” f
not Lose “Site” of
What you Are
Cleaning!
75 Cleaning Validation
Equipment Characterization
• We’ve already examined that the surface
f
is a critical to the success of the cleaning
• So let’s examine what we can do about it:
• Equipment Design / Construction
• Equipment Characterization
• Sampling Site Selection
• Sampling Site Selection
• Documentation of Equipment Characterization
76 Cleaning Validation
Equipment Design and Construction
Production equipment and facilities should be designed to be cleanable and maintainable in accordance with CGMPs – other critical attributes may apply depending on the nature of your production process• Coved corners • Welded seams
• Sealed joints or crevices, when necessary
(with temperature / chemical resistant caulk or sealant) • Sanitary clamp type connections
• Minimize dead leg opportunities
(not only length of T but also orientation of lines) Positive slope
• Positive slope
(typically minimum for long runs of 1/8th in/ft or 10.4mm/m)
• Free-draining
• Non-additive, non-reactive, non-absorptive materials of construction • Smooth, polished finishes (ex: 20 – 25 µin or 0.5 – 0.625 µm Ra on
316L SS)
77 Cleaning Validation
Existing Equipment Design Survey
• Survey the equipment (see example of potential tool on the nextslide)
• Identify weaknesses in the design • Identify weaknesses in the design
• Identify risks associated with the weaknesses • Mitigate as possible
When ranking, it may also be helpful to rank each section of the equipment by the Product Contact ? Yes No Non-Critical or Incidental Contact Critical Site
(i.e., location likely to be non-homogeneously equ p e t by t e nature of its product contact: Contact non homogeneously
distributed in next batch or location which is likely to be in contact with highly concentrated active)
Low Risk High Risk
Example of Design
Survey Risk Assessment
Characteristic High Rating Low Rating
Equip. Section Surveyed
Possible Mitigations / Actions for High Ratings
Positive Slope / Free Draining
Non-free draining
Free draining Reengineering Forced flow and forced drying Non-additive / Non-reactive / Non-absorptive MOC MOC not appropriate for easy cleaning MOC appropriate Reengineering
Special considerations for cleaning action / chemistry Enhanced inspection / testing to confirm testing to confirm cleanliness Smooth, polished finishes Finish was not designed to be smooth or finish has significant damage Finish is smooth, polished and in tact Refinishing surfaces Enhanced cleaning action / chemistry Enhanced inspection / testing to confirm cleanliness 79
Example of Design
Survey Risk Assessment
Characteristic High Rating Low Rating
Equip. Section Surveyed
Possible Mitigations / Actions for High Ratings
Coved Corners
Not coved and critical product contact
Coved or non-critical surface
Tool selection for cleaning
Special instructions during cleaning Joints Not sealed or
sealant inapprop-riate to rigors of cleaning Sealed with the correct material or not critical to product / Replace sealant Use different chemistry or tool for that location More frequent PM and replacement p cleaning contact replacement Dead leg survey
Dead legs are present or orientations that would hold up product and fluids
No dead legs or poor orientations
Reengineering
Disassembly for cleaning or disassembly after CIP for inspection and additional off-line cleaning
Equipment Design
Risk Assessment Results
Product Risk Equipment Design High Low Equipment Design Risk High Reengineering to mitigate is your best course of actionReengineering is still best, but procedural improvements may suffice
Low Equipment is not q p No worries! likely to be a problem,
but take care in your cleaning program design
Equipment Characterization
Gather Develop
Goals of Equipment Characterization are to: Gather
• Equipment design data: • MOC / finish / geometry • Difficult to clean locations • Cleaning SOP #s and
Cleaning Agent types
E i t f d t
Develop
• MOC list for recovery studies • Sampling site identification • Sampling method determination • Cleaning procedure and
cleaning agent correlation to equipment for grouping / bracketing
• Equipment surface area data • Equipment train data
bracketing
• Equivalency rationales for grouping / bracketing • Limit determination
Equipment Characterization
Field Assessments
•
Set Priorities for Equipment –
(new, dedicated major, downstream,
non-dedicated minor, upstream, etc.)
•
Identify potential equivalent equipment
83 Cleaning Validation
Equipment Characterization
Field Assessments
•
Initiate the Assessment:
• Identify product contact materials of construction for
processing equipment and their locations
• Use drawings, vendor certifications, field inspections • Identify the approximate percentage of surface area that
each MOC comprises (may be approximate)
• Calculate or contact vendor for the product contact surface
area calculations for the total piece of equipment
• List the cleaning SOPs and cleaning agents in use for the
equipment
• Interview operations personnel for hard to clean locations
84 Cleaning Validation
Equipment Characterization Field
Assessments
(cont’d)
Repeat the review for any potential equivalent members R i f i l h ld i l d
Grouping or Bracketing
Review for equivalency should include: • Make / Model / Geometry / Features • Scale / Size / Capacity
• Materials of Construction / Surface Finish
• Installation and Operational Qualification Equivalence • Same Position / Role in the Process
Equivalency will also be determined based on: • Cleaned with same procedure
• Cleaned with identical cleaning agent
• Overlap in products produced on those pieces Grouping / bracketing equipment will then drive:
Number / organization of cleaning validation trials
85 Cleaning Validation
Equipment Characterization Field
Assessments
(cont’d)
Identify sampling locations and sampling techniques
Sampling locations should be selected based on:
p
g
• Hard to clean locations or complex geometries – hot spots • Locations that might disproportionately contribute residue to
the next process (e.g., filling needles, discharge valves, punch and dies, chromatography skid fraction collection valves and piping, etc.) – critical sites
• Materials of construction or surface finishes with an affinity for the residue
• Role in process that is likely to lead to build up or difficult to • Role in process that is likely to lead to build-up or difficult to
clean residue
Number of sampling locations should be based on the:
• Number of locations that fit the descriptions above • Overall size of the equipment
Documenting Sampling Site Selection
Rationales Through Risk Assessment
S li C iti l Affi it t MOC
Role in Process Likely t L d t Sampling Location Critical
Site Hot Spot
Affinity to MOC or surface finish
to Lead to
Residue Ranking
Risk assessment technique aids in ensuring that sampling sites are effectively rationalized and eliminates some of the subjectivity
• Rankings can be scaled as H, M, L or given a number scaleRankings can be scaled as H, M, L or given a number scale
Methods for identifying sampling locations include:
• Interviewing operators for difficult to clean locations
• Witnessing cleaning procedures to identify weaknesses in cleaning • Conducting screening studies such as Riboflavin testing
Sampling Methods - Survey
Sampling Method
Swab Rinse
(see Baby) Placebo Coupon
Direct Surface Analysis Physical Removal Good Poor * Moderate* Good * N/A
* May get a different rating depending upon technique
Baby in the Bathwater
Module 4 – Equipment Characterization Slide 88
Technique
Dependent Yes No No No No * Hard to Reach
Locations Poor Good Good Poor Poor Adaptable to
Irregular Surfaces Somewhat Yes Somewhat No No * Controlled Area
Sampling Yes No * No Yes Yes Non-Invasive No Can Be Yes Yes * No Adaptable to On-Line
Monitoring No Yes No * No No Can Use Solvents Yes Yes No Yes N/A
Highly Dependent On…: Site Selection Training Recovery Solubility of Residue Contact Time Homogeneity of Rinse Solution Recovery Ability of Placebo to Remove Residue (e.g., solubility) Homogeneity of Residue in Placebo for Detection Recovery Ability to Defend that Soiling and Cleaning of Coupon is Equivalent to the Production Equipment Recovery Surface Character-ization Qualification of Method Limit of Detection
Example of Equipment Characterization
Documentation
1. Equipment Name
2. Equivalent Equipment IDs 3. Equipment Description & Role
i th P
5. Sampling Site Selection Rationale and Sampling Method
in the Process
• Key Design Features • Key Performance
Attributes (esp. those that affect cleaning)
• Critical Sites or Hot Spots • Rationales for Equivalency
(as required) 4. Materials of Construction 6. Digital Photographs of Sampling Sites • Highlighted sampling area • Text description of sampling location 7. Calculation of Sampling Site
Surface Area
8 Calculation of Equipment • Material
• Location
• % of Total Surface Area
8. Calculation of Equipment Surface Area
Appendix – Sampling Data Sheet*
* To be discussed in Limits section
89 Cleaning Validation
Establish an Equipment Use Matrix
Equipment Name
Cleaning SOP Cleaning Agent Product A Product B
Tank 11 (600 L) SOP 1234 CleanAll 345 X (600 L) Tank 12 (500 L) SOP 1234 CleanAll 345 X X Transfer Line 101 (2”) SOP 6789 SonicCare 657 X X Pump 602 (diaphragm) SOP 4567 CleanAll 345 X X
• Matrix helps to establish which products share equipment in order to determineMatrix helps to establish which products share equipment in order to determine the maximum shared equipment train between products (esp. if you use equipment surface area instead of X’s)
• Can assist in seeing logical relationships for equipment groupings / bracketing
• Records similarities and differences between pieces based on cleaning SOPs and cleaning agents
Ensure That Your Characterization
Work Also Assesses The Following
•
Identify materials that should be reviewed
against cleaning agent and cleaning tools to
look for compatibility issues
•
Develop rationales for those materials that will
not need to be included in sampling and
recovery studies based on elements such as:
P
iti
i th
•
Position in the process
•
Overall percentage of surface area
•
Similarity to other locations or materials of
construction
91 Cleaning Validation
Ensure That Your Characterization
Work Also Assesses The Following
•
Materials that are candidates for dedication or
for making them disposable, such as those
g
p
that are:
•
Likely to have a high affinity to product
•Likely to be extremely difficult to clean
•In contact with highly concentrated residues
•Used as ancillary components
92 Cleaning Validation
Discuss the Following:
Can sampling size legitimately be based on the
following? (Why or why not?)
following? (Why or why not?)
• Easy to discern part of the equipment (i.e., specific
fixture, or identifiable part such as 1 agitator blade)
• Convenient number (e.g., 100 cm
2)
• Different sizes for each sample collected
93 Cleaning Validation
Discuss the Following:
Do you think there will be a maximum and a
minimum surface area that is legitimate to
minimum surface area that is legitimate to
collect?
(Don’t give a specific numeric value, just think about why
this might be the case)
Module 5: SOP
Development for
Cl
i
Cleaning
-Reproducibility is
No Accident
95 Cleaning ValidationFDA Perspectives on Manual Cleaning
Pre-1993 – Manual Cleaning Can’t Be Validated
• Industry Concern
• Manual Cleaning Impossible to Eliminate
1993 – Manual Cleaning Can Be Validated
• Requires Detailed Procedures
• Requires Effective Training
• Requires Periodic Monitoring
So what are the elements that we need to control in
order to ensure that we meet FDA’s expectations?
96 Cleaning Validation