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CLEANING VALIDATION
BY
ABHISHEK MORRIS

1
CLEANING VALIDATION
Background
Through its regulatory activities, FDA became aware in the
early 1960's of the potential health hazards of product residues
FDA inspections revealed manufacturing practices leading to
contamination of certain drug preparations with penicillin
Amendments to drug regulations for current good
manufacturing practices (GMPs) were published January 29,
1965 for the control of cross contamination by penicillin.
In October 1965 the Division of Antibiotics and Insulin
Certification, now the National Center for Antibiotics Analysis
(NCAA), published methods for penicillin analysis, titled
“Procedures for Detecting and Measuring Penicillin
Contaminants in Drugs”.
ABHISHEK MORRIS
CLEANING VALIDATION
Background

In 1963 The FDA published a Guide to Inspections
”Validation of Cleaning Processes”, intended to cover
equipment cleaning for chemical residues only. In this
document FDA outlines what is expected:
a) Expects firms to have written procedures (SOPs)
detailing the cleaning processes.
b) Expects firms to have written general procedures on
how cleaning processes will be validated.
c) Expects firms to conduct the validation studies in
accordance with the protocols and to document the
results of studies.
3
ABHISHEK MORRIS
CLEANING VALIDATION
Definition

EU and Australian Code of GMP
“Cleaning validation is documented evidence that an
approved cleaning procedure will provide equipment which is
suitable for processing medicinal products”.

21 CFR 211.176, Penicillin contamination, states:
“If a reasonable possibility exists that a non-penicillin
drug product has been exposed to cross-contamination
with penicillin, the non-penicillin drug product shall be
tested for the presence of penicillin. Such drug product
shall not be marketed if detectable levels are found
when tested according to procedures specified in
‘Procedures for Detecting and Measuring Penicillin
Contamination in Drugs”.
4
ABHISHEK MORRIS
CLEANING VALIDATION
Examples of cGMP requirements

21 CFR 211.67 (a)
“Equipment and utensils shall be cleaned,
maintained, and sanitized at appropriate
intervals to prevent malfunctions or
contamination that would alter the safety,
identity, strength, quality, or purity of the
drug product beyond the official or other
established requirements”.

5
ABHISHEK MORRIS
CLEANING VALIDATION
Examples of cGMP requirements
EU and Australian CMP, 5.18
“Contamination of a starting material or of a product by
another material or product must
be avoided….... The significance of this risk varies with
the type of contaminant and of product being
contaminated. Amongst the most hazardous contaminants
are highly sensitizing materials, biological preparations
containing living organisms, certain hormones, cytotoxics,
and other highly active materials”.

6
ABHISHEK MORRIS
CLEANING VALIDATION
Examples of cGMP requirements

WHO, Annex 4, 4.11
“It is of critical importance that particular attention is
paid to the validation of analytical test methods,
automated systems and cleaning procedures”.

7
ABHISHEK MORRIS
CLEANING VALIDATION
Principle
Pharmaceutical products and active pharmaceutical
ingredients (APIs) can be contaminated by other
pharmaceutical products or APIs, by cleaning agents, by
micro-organisms or by other material (e.g. air-borne
particles, dust, lubricants, raw materials, intermediates).
In many cases, the same equipment may be used for
processing different products. To avoid contamination
of the following pharmaceutical product, adequate
cleaning procedures are essential.
Cleaning procedures must strictly follow carefully
established and validated methods of execution. This
applies equally to the manufacture of pharmaceutical
products and active pharmaceutical ingredients (APIs).

8
ABHISHEK MORRIS
CLEANING VALIDATION
General requirements
Normally only cleaning procedures for product contact
surfaces of the equipment need to be validated.
Consideration should be given to noncontact parts into
which product may migrate. For example, seals,
flanges, mixing shaft, fans of ovens, heating elements
etc.
Cleaning procedures for product changeover in the case
of marketed products should be fully validated.
Cleaning procedures for products and processes which
are very similar, do not need to be individually
validated.”.
Generally in case of batch-to-batch production it is not
necessary to clean after each batch. However, cleaning
intervals and methods should be determined.

9
ABHISHEK MORRIS
CLEANING VALIDATION
General requirements
It is considered acceptable to select a representative
range of similar products and processes concerned and
to justify a validation program which addresses the
critical issues relating to the selected products and
processes. A single validation study under consideration
of the “worst case” can then be carried out which takes
account of the relevant criteria. This practice is termed
"Bracketing” or “grouping

10
ABHISHEK MORRIS
CLEANING VALIDATION
General requirements
At least three consecutive applications of the cleaning
procedure should be performed and shown to be successful
in order to prove that the method is validated.
Raw materials sourced from different suppliers may have
different physical properties and impurity profiles. Such
differences should be considered when designing cleaning
procedures, as the materials may behave differently.
It is usually not considered acceptable to "test until clean".
This concept involves cleaning, sampling and testing, with
repetition of this sequence until an acceptable residue limit
is attained. For the system or equipment with a validated
cleaning process, this practice of "test until clean" should
not be required. The practice of "test until clean" is not
considered to replace the need to validate cleaning
procedures.

11
ABHISHEK MORRIS
CLEANING VALIDATION
General requirements
Products which simulate the physicochemical
properties of the substance to be removed may be used
instead of the substances themselves, where such
substances are either toxic or hazardous.

12
ABHISHEK MORRIS
CLEANING VALIDATION
Some general questions
Several questions should be addressed when evaluating the cleaning
process. For example:
a) At what point does a piece of equipment or system become clean?
b) What does visually clean mean?
c) Does the equipment need to be scrubbed by hand?
d) What is accomplished by hand scrubbing rather than just a solvent
wash?
13
ABHISHEK MORRIS
CLEANING VALIDATION
Some general questions
e) How variable are manual cleaning processes from batch
to
batch and product to product?
f) What is the most appropriate solvent or detergent?
g) Are different cleaning processes required for different
products in contact with a piece of equipment?
h) How many times need a cleaning process be applied to
ensure adequate cleaning of each piece of equipment?
14
ABHISHEK MORRIS
CLEANING VALIDATION
Equipment cleaning strategies

Dedicated
Campaign
Common
Cleaning of processing areas also requires validation.
The general principles outlined in this presentation are
applicable. Sampling methods and limits should be
appropriate to the material be processed.

15
ABHISHEK MORRIS
CLEANING VALIDATION
Some points to consider

Required written procedures that are standardized
Required written protocols
Justification for limits set
Equipment and product mix for common and dedicated
equipment
Use of manual verses automatic cleaning procedures,
such as CIP
Ongoing program of monitoring effectiveness
16
ABHISHEK MORRIS
CLEANING VALIDATION

Some equipment & product considerations
Use of “worst case” (e.g. smallest batch size, smallest number of
maximum daily doses, hardest to clean) product as a marker for
easier other products
Grouping of products
For example grouping based on; those products capable of causing
the largest possible problems if contaminated, or if they contaminate
other products; drug solubility and; equipment.
Identification of items of equipment that contribute most to cross
contamination of the next product
Identification of “worst case” locations in equipment , i.e. the design
of the equipment should be carefully examined.
Critical areas (those hardest to clean) should be identified,
particularly in large systems that employ semi-automatic or fully
automatic clean-in-place (CIP) systems.
17
ABHISHEK MORRIS
CLEANING VALIDATION

Some equipment & product considerations
Dedicated equipment should be used for products which
are difficult to remove (e.g. tarry or gummy residues in
the bulk manufacturing), for equipment which is
difficult to clean (e.g. bags for fluid bed dryers), or for
products with a high safety risk (e.g. biologicals or
products of high potency which may be difficult to
detect below an acceptable limit).

18
ABHISHEK MORRIS
CLEANING VALIDATION
Residue detection
Visual checking
- Suitable for dedicated equipment
- Include in all protocols and routine monitoring
Chemical tests
- Specific methods such as; high performance liquid
chromatography (HPLC), ion selective electrodes, flame
photometry, derivative UV spectroscopy, enzymatic detection
and titration

19
ABHISHEK MORRIS
CLEANING VALIDATION
Residue detection
Methods validation and recovery studies
Involves the use of the sampling and detection method on known
spiked surfaces at representative levels, typically spiked at 50%,
100% and 150% of the acceptable limit and at lower expected
actual levels to show linearity with documented % recovery as
analyzed and to determine the limit of detection and limit of
quantitation. Ideally the expected
values and limits should be multiples of the limits of
quantization.

20
ABHISHEK MORRIS
CLEANING VALIDATION
Residue detection
Chemical tests
a) Non-specific methods that detect the presence of a blend of
ingredients such as: total organic carbon, pH, and conductivity.
b) Specific methods. The FDA prefers specific methods, but
will accept non-specific methods with adequate rationales for
their use.
c) Chemical limits can be expressed as a maximum
concentration in the next product (ug/ml), amount per surface
area (ug/cm2), amount in a swab sample (ug or ug/ml),
maximum carryover in a train (mg or g), or concentration in
rinse water (ug/ml). There can be a calculated safety based
acceptance limit, a lower internal action level, and a lower
process control level based on actual manufacturing and
measuring experience.
21
ABHISHEK MORRIS
CLEANING VALIDATION
Residue detection
c) Chemical limits can be expressed as a maximum
concentration in the next product (ug/ml), amount per surface
area (ug/cm2), amount in a swab sample (ug or ug/ml),
maximum carryover in a train (mg or g), or concentration in
rinse water (ug/ml). There can be a calculated safety based
acceptance limit, a lower internal action level, and a lower
process control level based on actual manufacturing and
measuring experience.

22
ABHISHEK MORRIS
CLEANING VALIDATION
Microbial considerations
a) Endotoxins
b) TAMC
c) The existence of conditions favourable to reproduction of
microorganisms (e.g. moisture, temperature, crevices and rough
surfaces) and
the time of storage should be considered. The aim should be to
prevent excessive microbial contamination.

23
ABHISHEK MORRIS
CLEANING VALIDATION
Microbial considerations
d) The period and when appropriate, conditions of
storage of equipment before cleaning and the time
between cleaning and equipment reuse, should form
part of the validation of cleaning procedures. This is
to provide confidence that routine cleaning and
storage of equipment does not allow microbial
proliferation.
e) In general, equipment should be stored dry, and
under no circumstances should stagnant water be
allowed to remain in
equipment subsequent to cleaning operations.
24
ABHISHEK MORRIS
CLEANING VALIDATION
Detergent considerations
The efficiency of cleaning procedures for the removal of
detergent residues should be evaluated. Acceptable limits
should be defined for levels of detergent after cleaning. Ideally,
there should be no residues detected. The possibility of
detergent breakdown should be considered when validating
cleaning procedures.

25
ABHISHEK MORRIS
CLEANING VALIDATION
Detergent considerations
The composition of detergents should be known.
If such information is not available, alternative detergents
should be selected whose composition can be defined. As a
guide, food regulations may be consulted. The manufacturer
should ensure that he is notified by the detergent supplier of
any critical changes in the formulation of the
detergent.

26
ABHISHEK MORRIS
CLEANING VALIDATION
Sampling methods principle

There are two methods of sampling that are considered to be
acceptable, direct surface sampling (swab method) and indirect
sampling (use of rinse solutions). A combination of the two
methods is generally the most desirable, particularly in
circumstances where accessibility of equipment parts can
mitigate against direct surface sampling.

27
ABHISHEK MORRIS
CLEANING VALIDATION
Sampling methods principle

Direct Surface Sampling (swabbing)
The suitability of the material to be used for sampling and of the
sampling medium should be determined. The ability to recover
samples accurately may be affected by the choice of sampling
material. It is important to ensure that the sampling medium and
solvent are satisfactory and can be readily used.

Rinse Samples
Rinse samples allow sampling of a large surface area. In
addition, inaccessible areas of equipment that cannot be
routinely disassembled can be evaluated. However,
consideration should be given to the
solubility of the contaminant.
28
ABHISHEK MORRIS
CLEANING VALIDATION
Sampling methods considerations

Swab samples
a) Reliable determination of residue
b) Locations must be carefully defined (use difficult to clean
locations).
c) Extrapolate sample area to whole area
d) Method recovery must be validated (e.g. spiking studies, recovery
target, LOD and LOQ, precision, linearity and selectivity)
Rinse samples
a) May be helpful where sites are inaccessible to swabs
b) Useful for cleaning agent residues
c) Must define volumes of rinse agent used
d) Method recovery must be validated
29
ABHISHEK MORRIS
CLEANING VALIDATION
Sampling method considerations

e) The choice of containers used in the analysis of samples is
very important. It has been shown that, in very dilute solutions,
surfactants can adsorb onto the surfaces of sample vials. This
will produce artificially low results in the analysis. Appropriate
spiking studies should be performed to ensure that this
phenomenon is not occurring and will not interfere with the
analytical method.

30
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits - principle

Establishment of Limits
a) The pharmaceutical company's rationale for selecting limits
for product residues should be logically based on a consideration
of the materials involved and their therapeutic dose. The limits
should be practical, achievable and verifiable.
b) The approach for setting limits can be:
i) Product specific Cleaning Validation for all products, or
ii) Grouping into product families and choosing a "worst case"
product
iii) Grouping into groups of risk (e.g. very soluble products,
similar potency, highly toxic products, difficult to detect etc.).
31
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits - principle

Carry-over of product residues should meet defined
criteria, for example the most stringent of the
following three criteria:
(a) No more than 0.001 (0.01%)of the normal
therapeutic dose of any product (or minimum dose if
there are number formulations with different
strengths) will appear in the maximum daily dose of
the following product
(b) No more than 10 ppm of any product will appear
in another
product,
32
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits - principle

(c) No quantity of residue should be visible on the equipment
after cleaning procedures are performed. Spiking studies should
determine the concentration at which most active ingredients
are visible
(d) 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. In practice this may mean that dedicated
plants are used for these
products.

33
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits - principle

e) It should not be assumed that the contaminant will be uniformly
distributed throughout a system. The assumption that a residual
contaminant would be worn off the equipment surface uniformly,
or that the contamination might only occur at the beginning of the
batch, should not be made.
f) In establishing residual limits, it may not be adequate to focus
only on the principal reactant since chemical variations (active
decomposition materials) may be more difficult to remove.

34
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits

Some points to consider:
General
a) Regulatory agencies do not set limits
b) Use of dedicated equipment wherever possible, e.g.
scoops, FBP, blenders, compression machines etc.
c) Total surface areas of all common equipment used
d) Validation data should support a conclusion that
residues have been reduced to an acceptable level

35
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits

Some points to consider:.
Visually clean
a) Accepted by FDA for cleaning between batches of
the same product or different lots of the same
intermediate in a bulk process
b) Useful for both equipment and walls, floors etc. of
processing areas
c) Note that for many residues the visual detection limit
is in the order of 1-4 ug/cm2. It is possible that the
visually clean criteria will be the most stringent criteria.

36
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits

Some points to consider:.
Medical dosage level is probably the most common basis for
limits calculations in the pharmaceutical industry. It is based
on allowing a certain fraction of a daily dose to carry over to a
daily dose of a following product. The fraction that reduces the
dosage is referred to as a safety factor or a risk assessment
factor and takes the form of a fraction such as 1/100th,
1/1000th, or 10,000th of the original daily dose.

37
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits

Some points to consider:.
A commonly used limit is no more than one thousandth
(0.001) of the minimum daily dose of a current product will
appear in the maximum daily dose of a subsequent
Product
Where a there is a large product range, to reduce swabbing
work load, one approach is to identify which product is a
worst case (e.g. based on the smallest number of maximum
daily doses, i.e. batch size divided by maximum daily dose).
38
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits

Some points to consider:.
a) No more than 10ppm of any product will appear in another
product
i) This has its origins in the regulations that apply to food products
in
the US.
ii) Also used in the USP for hazardous substances, such as heavy
metals and impurities.
iii) Assumes that residue is as harmful as a hazardous substance
iv) Useful for materials for which no toxicological data is available,
e.g. cleaning agents

39
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits

b) In the case of small final filling equipment such as filling needles
for vials or tablet punches and dies, it may be necessary to do
separate residue studies on the filling needles or punches and dies to
be sure that there was not enough residue just on that equipment to
contaminate the first few bottles or tablets of the next batch with the
maximum allowable carryover limit (MACO) of the previous
product.

40
ABHISHEK MORRIS
CLEANING VALIDATION
Protocol

The Cleaning Validation Protocol should include, for
example, the following:
a) The objective of the validation process.
b) Responsibilities for performing and approving the
validation study
c) Description of the equipment to be used.
d) The interval between the end of production and the
beginning of the cleaning procedures.
41
ABHISHEK MORRIS
CLEANING VALIDATION
Protocol

e) Cleaning procedures to be used for each product, each
manufacturing system or each piece of equipment.
f) The number of cleaning cycles to be performed
consecutively.
g) Any routine monitoring requirement.
h) Sampling procedures, including the rationale for why a certain
sampling method is used.
i) Clearly defined sampling locations.

42
ABHISHEK MORRIS
CLEANING VALIDATION
Protocol

j) Data on recovery studies where appropriate,
k) Analytical methods including the limit of detection and the
limit of quantitation of those methods or reference to them
l) Acceptance criteria and limits
m) Details of of product “grouping”
n) When Re-validation will be required.
o) A Final Validation Report. The conclusions of this report
should state if the cleaning process has been validated
successfully.

43
ABHISHEK MORRIS
CLEANING VALIDATION
Equipment considerations

In the case of a product changeover, the total surface area of
equipment common to each product has to be determined.
Assuming a swab area of 10 cm2 , the total amount of residue
present is determined by dividing the equipment surface area
(cm2 ) by 10 and multiplying this result by the residue quantity.
This is repeated for all common equipment in the “train” and the
total residue calculated by
adding all results together.

44
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits

We first manufacture product A and then product B, "What is
an acceptable level of product A to carry over and be present in
product B and yet not cause a medical effect in the patient
consuming product B?" The math is.
The maximum allowable carryover, MACO
= (allowable carryover into a single daily dose of next
product) x (# of daily doses in complete batch of next product)

45
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
or,
MACO = ( allowable carryover into a single daily dose of next
product) x (batch size of next product divided by daily dose of
next product)
The allowable carryover of product A into a single dose of
product would be:
(Daily dose of A) divided by (Safety Factor)

46
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Thus, the total maximum allowable carryover depends on four
variables:
The daily dose of product A
The safety factor selected
The batch size of product B
The daily dose of product B

47
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 1
Let's suppose, for the present example, that we have two orally
administered products (A and B) manufactured using the same
equipment. Product A is formulated in two strength, a 500mg
dose and a 850mg dose, each dose is given once a day. The
maximum daily dose of Product B is 8 tablets and the batch
size is 320,000 tablets.

48
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 1
The minimum daily dose of Product A, which is 500mg, is
used in the following calculation.
MACO= (Minimum daily dose of Product A/safety factor of
1000) x (# of daily doses in complete batch of next product)
MACO = 500/1000 x 320,000/8 = 20g

49
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
Let's suppose, for the present example, that we have five
products (A, B, C, D, and E) in the current product grouping,
and they are all products given by the oral route of
administration. Let's further assume that the group of five all
has different dosages and batch sizes as represented in the next
slide.

50
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
PRODUCT
BATCH
SIZE Kg
A
B
C
D
E

MAX
DAILY DOSE mg
100
150
200
250
300

50
100
100
10
150

51
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
The limits calculated will depend upon the specific
sequence of products manufactured, thus there are
20 different combinations and permutations of
possible manufacturing sequences for only a fiveproduct group. Even if the initial product is
specified, then there could be four other products
manufactured subsequently, thus four different
limits. For this reason, many companies use an
equation which takes into account the "worst case"
situations for all products in the same
group.
52
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
If Product A is selected as the initial product. In
order to calculate a limit for carryover of product A
into any other product, we could use the following
equation:
MACO= (DTDA) x (WC#D)/SF
MACO = Maximum allowable carryover
DTDA = Daily therapeutic dose of product A
WC#D = Worst case # doses
SF = Safety factor (usually 1,000)

53
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
The worst case number of doses in the following
product would be determined by a combination of
the largest daily dose (active plus excipients) of any
of the other product in the group and the smallest
batch size of any other product in the
group by the relationship:
Worst case = Smallest batch size*
Largest daily dose*
* of any other product in group
54
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
The data show in Slide 60 for the current group of five
products shows that Product E has the largest Daily Dose
Weight (300 mg) and Product D has the Smallest Batch Size
(10 Kg) of the product group. Thus the Worst Case Number of
Doses would be:
Worst case # doses = 10,000,000 mg = 33,333 doses
300 mg/dose

55
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
The 10 Kg was converted to mg so that the units would agree.
This value would now be substituted back into the MACO
calculation with the following results:
MACO = DTDA x WC#D in following product
SF
MACO = 10 mg x 33,333 = 333 mg
1000
We can now perform a 'worst case' calculation for each of the
five products in the group and this would reduce the number of
calculations from twenty down to five. The resulting
calculations for the group of five products are shown in the
next slide.
56
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 2
PRODUCT
A
B
C
D
E

MACO for all products in group mg
333
990
3330
6660
16650

The MACO for Product A, shown in slide 55, is the maximum
residue that can be present on the surfaces of all common
equipment in the train. This is regardless of which product is
being produced and which product is produced next.

57
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 3
The limit of Product A (which contains the most potent active)
in Product B (which contains the least number of maximum
daily doses per batch)
MACO = D x E mg
where:
D = The minimum daily dose of the smallest strength of
Product A
E = The maximum number of daily doses per batch of Product
B

58
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 3
In a tablet product grouping product A is the most potent. One
thousandth of the minimum daily dose is 0.0006 mg.
Product D has the least number of maximum daily doses per
batch, 50,000.
The MACO limit is 0.0006 x 50,000 = 30mg

59
ABHISHEK MORRIS
CLEANING VALIDATION
Selection of limits
Example 3
From swabbing, the total residue found on all common
equipment is 0.600 mg.
Based on the data, the cleaning procedure is acceptable
regardless of which product is being produced and which
product is produced next.

60
ABHISHEK MORRIS
THANKYOU
ABHISHEK MORRIS

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Basic Concepts of Cleaning validation

  • 2. CLEANING VALIDATION Background Through its regulatory activities, FDA became aware in the early 1960's of the potential health hazards of product residues FDA inspections revealed manufacturing practices leading to contamination of certain drug preparations with penicillin Amendments to drug regulations for current good manufacturing practices (GMPs) were published January 29, 1965 for the control of cross contamination by penicillin. In October 1965 the Division of Antibiotics and Insulin Certification, now the National Center for Antibiotics Analysis (NCAA), published methods for penicillin analysis, titled “Procedures for Detecting and Measuring Penicillin Contaminants in Drugs”. ABHISHEK MORRIS
  • 3. CLEANING VALIDATION Background In 1963 The FDA published a Guide to Inspections ”Validation of Cleaning Processes”, intended to cover equipment cleaning for chemical residues only. In this document FDA outlines what is expected: a) Expects firms to have written procedures (SOPs) detailing the cleaning processes. b) Expects firms to have written general procedures on how cleaning processes will be validated. c) Expects firms to conduct the validation studies in accordance with the protocols and to document the results of studies. 3 ABHISHEK MORRIS
  • 4. CLEANING VALIDATION Definition EU and Australian Code of GMP “Cleaning validation is documented evidence that an approved cleaning procedure will provide equipment which is suitable for processing medicinal products”. 21 CFR 211.176, Penicillin contamination, states: “If a reasonable possibility exists that a non-penicillin drug product has been exposed to cross-contamination with penicillin, the non-penicillin drug product shall be tested for the presence of penicillin. Such drug product shall not be marketed if detectable levels are found when tested according to procedures specified in ‘Procedures for Detecting and Measuring Penicillin Contamination in Drugs”. 4 ABHISHEK MORRIS
  • 5. CLEANING VALIDATION Examples of cGMP requirements 21 CFR 211.67 (a) “Equipment and utensils shall be cleaned, maintained, and sanitized at appropriate intervals to prevent malfunctions or contamination that would alter the safety, identity, strength, quality, or purity of the drug product beyond the official or other established requirements”. 5 ABHISHEK MORRIS
  • 6. CLEANING VALIDATION Examples of cGMP requirements EU and Australian CMP, 5.18 “Contamination of a starting material or of a product by another material or product must be avoided….... The significance of this risk varies with the type of contaminant and of product being contaminated. Amongst the most hazardous contaminants are highly sensitizing materials, biological preparations containing living organisms, certain hormones, cytotoxics, and other highly active materials”. 6 ABHISHEK MORRIS
  • 7. CLEANING VALIDATION Examples of cGMP requirements WHO, Annex 4, 4.11 “It is of critical importance that particular attention is paid to the validation of analytical test methods, automated systems and cleaning procedures”. 7 ABHISHEK MORRIS
  • 8. CLEANING VALIDATION Principle Pharmaceutical products and active pharmaceutical ingredients (APIs) can be contaminated by other pharmaceutical products or APIs, by cleaning agents, by micro-organisms or by other material (e.g. air-borne particles, dust, lubricants, raw materials, intermediates). In many cases, the same equipment may be used for processing different products. To avoid contamination of the following pharmaceutical product, adequate cleaning procedures are essential. Cleaning procedures must strictly follow carefully established and validated methods of execution. This applies equally to the manufacture of pharmaceutical products and active pharmaceutical ingredients (APIs). 8 ABHISHEK MORRIS
  • 9. CLEANING VALIDATION General requirements Normally only cleaning procedures for product contact surfaces of the equipment need to be validated. Consideration should be given to noncontact parts into which product may migrate. For example, seals, flanges, mixing shaft, fans of ovens, heating elements etc. Cleaning procedures for product changeover in the case of marketed products should be fully validated. Cleaning procedures for products and processes which are very similar, do not need to be individually validated.”. Generally in case of batch-to-batch production it is not necessary to clean after each batch. However, cleaning intervals and methods should be determined. 9 ABHISHEK MORRIS
  • 10. CLEANING VALIDATION General requirements It is considered acceptable to select a representative range of similar products and processes concerned and to justify a validation program which addresses the critical issues relating to the selected products and processes. A single validation study under consideration of the “worst case” can then be carried out which takes account of the relevant criteria. This practice is termed "Bracketing” or “grouping 10 ABHISHEK MORRIS
  • 11. CLEANING VALIDATION General requirements At least three consecutive applications of the cleaning procedure should be performed and shown to be successful in order to prove that the method is validated. Raw materials sourced from different suppliers may have different physical properties and impurity profiles. Such differences should be considered when designing cleaning procedures, as the materials may behave differently. It is usually not considered acceptable to "test until clean". This concept involves cleaning, sampling and testing, with repetition of this sequence until an acceptable residue limit is attained. For the system or equipment with a validated cleaning process, this practice of "test until clean" should not be required. The practice of "test until clean" is not considered to replace the need to validate cleaning procedures. 11 ABHISHEK MORRIS
  • 12. CLEANING VALIDATION General requirements Products which simulate the physicochemical properties of the substance to be removed may be used instead of the substances themselves, where such substances are either toxic or hazardous. 12 ABHISHEK MORRIS
  • 13. CLEANING VALIDATION Some general questions Several questions should be addressed when evaluating the cleaning process. For example: a) At what point does a piece of equipment or system become clean? b) What does visually clean mean? c) Does the equipment need to be scrubbed by hand? d) What is accomplished by hand scrubbing rather than just a solvent wash? 13 ABHISHEK MORRIS
  • 14. CLEANING VALIDATION Some general questions e) How variable are manual cleaning processes from batch to batch and product to product? f) What is the most appropriate solvent or detergent? g) Are different cleaning processes required for different products in contact with a piece of equipment? h) How many times need a cleaning process be applied to ensure adequate cleaning of each piece of equipment? 14 ABHISHEK MORRIS
  • 15. CLEANING VALIDATION Equipment cleaning strategies Dedicated Campaign Common Cleaning of processing areas also requires validation. The general principles outlined in this presentation are applicable. Sampling methods and limits should be appropriate to the material be processed. 15 ABHISHEK MORRIS
  • 16. CLEANING VALIDATION Some points to consider Required written procedures that are standardized Required written protocols Justification for limits set Equipment and product mix for common and dedicated equipment Use of manual verses automatic cleaning procedures, such as CIP Ongoing program of monitoring effectiveness 16 ABHISHEK MORRIS
  • 17. CLEANING VALIDATION Some equipment & product considerations Use of “worst case” (e.g. smallest batch size, smallest number of maximum daily doses, hardest to clean) product as a marker for easier other products Grouping of products For example grouping based on; those products capable of causing the largest possible problems if contaminated, or if they contaminate other products; drug solubility and; equipment. Identification of items of equipment that contribute most to cross contamination of the next product Identification of “worst case” locations in equipment , i.e. the design of the equipment should be carefully examined. Critical areas (those hardest to clean) should be identified, particularly in large systems that employ semi-automatic or fully automatic clean-in-place (CIP) systems. 17 ABHISHEK MORRIS
  • 18. CLEANING VALIDATION Some equipment & product considerations Dedicated equipment should be used for products which are difficult to remove (e.g. tarry or gummy residues in the bulk manufacturing), for equipment which is difficult to clean (e.g. bags for fluid bed dryers), or for products with a high safety risk (e.g. biologicals or products of high potency which may be difficult to detect below an acceptable limit). 18 ABHISHEK MORRIS
  • 19. CLEANING VALIDATION Residue detection Visual checking - Suitable for dedicated equipment - Include in all protocols and routine monitoring Chemical tests - Specific methods such as; high performance liquid chromatography (HPLC), ion selective electrodes, flame photometry, derivative UV spectroscopy, enzymatic detection and titration 19 ABHISHEK MORRIS
  • 20. CLEANING VALIDATION Residue detection Methods validation and recovery studies Involves the use of the sampling and detection method on known spiked surfaces at representative levels, typically spiked at 50%, 100% and 150% of the acceptable limit and at lower expected actual levels to show linearity with documented % recovery as analyzed and to determine the limit of detection and limit of quantitation. Ideally the expected values and limits should be multiples of the limits of quantization. 20 ABHISHEK MORRIS
  • 21. CLEANING VALIDATION Residue detection Chemical tests a) Non-specific methods that detect the presence of a blend of ingredients such as: total organic carbon, pH, and conductivity. b) Specific methods. The FDA prefers specific methods, but will accept non-specific methods with adequate rationales for their use. c) Chemical limits can be expressed as a maximum concentration in the next product (ug/ml), amount per surface area (ug/cm2), amount in a swab sample (ug or ug/ml), maximum carryover in a train (mg or g), or concentration in rinse water (ug/ml). There can be a calculated safety based acceptance limit, a lower internal action level, and a lower process control level based on actual manufacturing and measuring experience. 21 ABHISHEK MORRIS
  • 22. CLEANING VALIDATION Residue detection c) Chemical limits can be expressed as a maximum concentration in the next product (ug/ml), amount per surface area (ug/cm2), amount in a swab sample (ug or ug/ml), maximum carryover in a train (mg or g), or concentration in rinse water (ug/ml). There can be a calculated safety based acceptance limit, a lower internal action level, and a lower process control level based on actual manufacturing and measuring experience. 22 ABHISHEK MORRIS
  • 23. CLEANING VALIDATION Microbial considerations a) Endotoxins b) TAMC c) The existence of conditions favourable to reproduction of microorganisms (e.g. moisture, temperature, crevices and rough surfaces) and the time of storage should be considered. The aim should be to prevent excessive microbial contamination. 23 ABHISHEK MORRIS
  • 24. CLEANING VALIDATION Microbial considerations d) The period and when appropriate, conditions of storage of equipment before cleaning and the time between cleaning and equipment reuse, should form part of the validation of cleaning procedures. This is to provide confidence that routine cleaning and storage of equipment does not allow microbial proliferation. e) In general, equipment should be stored dry, and under no circumstances should stagnant water be allowed to remain in equipment subsequent to cleaning operations. 24 ABHISHEK MORRIS
  • 25. CLEANING VALIDATION Detergent considerations The efficiency of cleaning procedures for the removal of detergent residues should be evaluated. Acceptable limits should be defined for levels of detergent after cleaning. Ideally, there should be no residues detected. The possibility of detergent breakdown should be considered when validating cleaning procedures. 25 ABHISHEK MORRIS
  • 26. CLEANING VALIDATION Detergent considerations The composition of detergents should be known. If such information is not available, alternative detergents should be selected whose composition can be defined. As a guide, food regulations may be consulted. The manufacturer should ensure that he is notified by the detergent supplier of any critical changes in the formulation of the detergent. 26 ABHISHEK MORRIS
  • 27. CLEANING VALIDATION Sampling methods principle There are two methods of sampling that are considered to be acceptable, direct surface sampling (swab method) and indirect sampling (use of rinse solutions). A combination of the two methods is generally the most desirable, particularly in circumstances where accessibility of equipment parts can mitigate against direct surface sampling. 27 ABHISHEK MORRIS
  • 28. CLEANING VALIDATION Sampling methods principle Direct Surface Sampling (swabbing) The suitability of the material to be used for sampling and of the sampling medium should be determined. The ability to recover samples accurately may be affected by the choice of sampling material. It is important to ensure that the sampling medium and solvent are satisfactory and can be readily used. Rinse Samples Rinse samples allow sampling of a large surface area. In addition, inaccessible areas of equipment that cannot be routinely disassembled can be evaluated. However, consideration should be given to the solubility of the contaminant. 28 ABHISHEK MORRIS
  • 29. CLEANING VALIDATION Sampling methods considerations Swab samples a) Reliable determination of residue b) Locations must be carefully defined (use difficult to clean locations). c) Extrapolate sample area to whole area d) Method recovery must be validated (e.g. spiking studies, recovery target, LOD and LOQ, precision, linearity and selectivity) Rinse samples a) May be helpful where sites are inaccessible to swabs b) Useful for cleaning agent residues c) Must define volumes of rinse agent used d) Method recovery must be validated 29 ABHISHEK MORRIS
  • 30. CLEANING VALIDATION Sampling method considerations e) The choice of containers used in the analysis of samples is very important. It has been shown that, in very dilute solutions, surfactants can adsorb onto the surfaces of sample vials. This will produce artificially low results in the analysis. Appropriate spiking studies should be performed to ensure that this phenomenon is not occurring and will not interfere with the analytical method. 30 ABHISHEK MORRIS
  • 31. CLEANING VALIDATION Selection of limits - principle Establishment of Limits a) The pharmaceutical company's rationale for selecting limits for product residues should be logically based on a consideration of the materials involved and their therapeutic dose. The limits should be practical, achievable and verifiable. b) The approach for setting limits can be: i) Product specific Cleaning Validation for all products, or ii) Grouping into product families and choosing a "worst case" product iii) Grouping into groups of risk (e.g. very soluble products, similar potency, highly toxic products, difficult to detect etc.). 31 ABHISHEK MORRIS
  • 32. CLEANING VALIDATION Selection of limits - principle Carry-over of product residues should meet defined criteria, for example the most stringent of the following three criteria: (a) No more than 0.001 (0.01%)of the normal therapeutic dose of any product (or minimum dose if there are number formulations with different strengths) will appear in the maximum daily dose of the following product (b) No more than 10 ppm of any product will appear in another product, 32 ABHISHEK MORRIS
  • 33. CLEANING VALIDATION Selection of limits - principle (c) No quantity of residue should be visible on the equipment after cleaning procedures are performed. Spiking studies should determine the concentration at which most active ingredients are visible (d) 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. In practice this may mean that dedicated plants are used for these products. 33 ABHISHEK MORRIS
  • 34. CLEANING VALIDATION Selection of limits - principle e) It should not be assumed that the contaminant will be uniformly distributed throughout a system. The assumption that a residual contaminant would be worn off the equipment surface uniformly, or that the contamination might only occur at the beginning of the batch, should not be made. f) In establishing residual limits, it may not be adequate to focus only on the principal reactant since chemical variations (active decomposition materials) may be more difficult to remove. 34 ABHISHEK MORRIS
  • 35. CLEANING VALIDATION Selection of limits Some points to consider: General a) Regulatory agencies do not set limits b) Use of dedicated equipment wherever possible, e.g. scoops, FBP, blenders, compression machines etc. c) Total surface areas of all common equipment used d) Validation data should support a conclusion that residues have been reduced to an acceptable level 35 ABHISHEK MORRIS
  • 36. CLEANING VALIDATION Selection of limits Some points to consider:. Visually clean a) Accepted by FDA for cleaning between batches of the same product or different lots of the same intermediate in a bulk process b) Useful for both equipment and walls, floors etc. of processing areas c) Note that for many residues the visual detection limit is in the order of 1-4 ug/cm2. It is possible that the visually clean criteria will be the most stringent criteria. 36 ABHISHEK MORRIS
  • 37. CLEANING VALIDATION Selection of limits Some points to consider:. Medical dosage level is probably the most common basis for limits calculations in the pharmaceutical industry. It is based on allowing a certain fraction of a daily dose to carry over to a daily dose of a following product. The fraction that reduces the dosage is referred to as a safety factor or a risk assessment factor and takes the form of a fraction such as 1/100th, 1/1000th, or 10,000th of the original daily dose. 37 ABHISHEK MORRIS
  • 38. CLEANING VALIDATION Selection of limits Some points to consider:. A commonly used limit is no more than one thousandth (0.001) of the minimum daily dose of a current product will appear in the maximum daily dose of a subsequent Product Where a there is a large product range, to reduce swabbing work load, one approach is to identify which product is a worst case (e.g. based on the smallest number of maximum daily doses, i.e. batch size divided by maximum daily dose). 38 ABHISHEK MORRIS
  • 39. CLEANING VALIDATION Selection of limits Some points to consider:. a) No more than 10ppm of any product will appear in another product i) This has its origins in the regulations that apply to food products in the US. ii) Also used in the USP for hazardous substances, such as heavy metals and impurities. iii) Assumes that residue is as harmful as a hazardous substance iv) Useful for materials for which no toxicological data is available, e.g. cleaning agents 39 ABHISHEK MORRIS
  • 40. CLEANING VALIDATION Selection of limits b) In the case of small final filling equipment such as filling needles for vials or tablet punches and dies, it may be necessary to do separate residue studies on the filling needles or punches and dies to be sure that there was not enough residue just on that equipment to contaminate the first few bottles or tablets of the next batch with the maximum allowable carryover limit (MACO) of the previous product. 40 ABHISHEK MORRIS
  • 41. CLEANING VALIDATION Protocol The Cleaning Validation Protocol should include, for example, the following: a) The objective of the validation process. b) Responsibilities for performing and approving the validation study c) Description of the equipment to be used. d) The interval between the end of production and the beginning of the cleaning procedures. 41 ABHISHEK MORRIS
  • 42. CLEANING VALIDATION Protocol e) Cleaning procedures to be used for each product, each manufacturing system or each piece of equipment. f) The number of cleaning cycles to be performed consecutively. g) Any routine monitoring requirement. h) Sampling procedures, including the rationale for why a certain sampling method is used. i) Clearly defined sampling locations. 42 ABHISHEK MORRIS
  • 43. CLEANING VALIDATION Protocol j) Data on recovery studies where appropriate, k) Analytical methods including the limit of detection and the limit of quantitation of those methods or reference to them l) Acceptance criteria and limits m) Details of of product “grouping” n) When Re-validation will be required. o) A Final Validation Report. The conclusions of this report should state if the cleaning process has been validated successfully. 43 ABHISHEK MORRIS
  • 44. CLEANING VALIDATION Equipment considerations In the case of a product changeover, the total surface area of equipment common to each product has to be determined. Assuming a swab area of 10 cm2 , the total amount of residue present is determined by dividing the equipment surface area (cm2 ) by 10 and multiplying this result by the residue quantity. This is repeated for all common equipment in the “train” and the total residue calculated by adding all results together. 44 ABHISHEK MORRIS
  • 45. CLEANING VALIDATION Selection of limits We first manufacture product A and then product B, "What is an acceptable level of product A to carry over and be present in product B and yet not cause a medical effect in the patient consuming product B?" The math is. The maximum allowable carryover, MACO = (allowable carryover into a single daily dose of next product) x (# of daily doses in complete batch of next product) 45 ABHISHEK MORRIS
  • 46. CLEANING VALIDATION Selection of limits or, MACO = ( allowable carryover into a single daily dose of next product) x (batch size of next product divided by daily dose of next product) The allowable carryover of product A into a single dose of product would be: (Daily dose of A) divided by (Safety Factor) 46 ABHISHEK MORRIS
  • 47. CLEANING VALIDATION Selection of limits Thus, the total maximum allowable carryover depends on four variables: The daily dose of product A The safety factor selected The batch size of product B The daily dose of product B 47 ABHISHEK MORRIS
  • 48. CLEANING VALIDATION Selection of limits Example 1 Let's suppose, for the present example, that we have two orally administered products (A and B) manufactured using the same equipment. Product A is formulated in two strength, a 500mg dose and a 850mg dose, each dose is given once a day. The maximum daily dose of Product B is 8 tablets and the batch size is 320,000 tablets. 48 ABHISHEK MORRIS
  • 49. CLEANING VALIDATION Selection of limits Example 1 The minimum daily dose of Product A, which is 500mg, is used in the following calculation. MACO= (Minimum daily dose of Product A/safety factor of 1000) x (# of daily doses in complete batch of next product) MACO = 500/1000 x 320,000/8 = 20g 49 ABHISHEK MORRIS
  • 50. CLEANING VALIDATION Selection of limits Example 2 Let's suppose, for the present example, that we have five products (A, B, C, D, and E) in the current product grouping, and they are all products given by the oral route of administration. Let's further assume that the group of five all has different dosages and batch sizes as represented in the next slide. 50 ABHISHEK MORRIS
  • 51. CLEANING VALIDATION Selection of limits Example 2 PRODUCT BATCH SIZE Kg A B C D E MAX DAILY DOSE mg 100 150 200 250 300 50 100 100 10 150 51 ABHISHEK MORRIS
  • 52. CLEANING VALIDATION Selection of limits Example 2 The limits calculated will depend upon the specific sequence of products manufactured, thus there are 20 different combinations and permutations of possible manufacturing sequences for only a fiveproduct group. Even if the initial product is specified, then there could be four other products manufactured subsequently, thus four different limits. For this reason, many companies use an equation which takes into account the "worst case" situations for all products in the same group. 52 ABHISHEK MORRIS
  • 53. CLEANING VALIDATION Selection of limits Example 2 If Product A is selected as the initial product. In order to calculate a limit for carryover of product A into any other product, we could use the following equation: MACO= (DTDA) x (WC#D)/SF MACO = Maximum allowable carryover DTDA = Daily therapeutic dose of product A WC#D = Worst case # doses SF = Safety factor (usually 1,000) 53 ABHISHEK MORRIS
  • 54. CLEANING VALIDATION Selection of limits Example 2 The worst case number of doses in the following product would be determined by a combination of the largest daily dose (active plus excipients) of any of the other product in the group and the smallest batch size of any other product in the group by the relationship: Worst case = Smallest batch size* Largest daily dose* * of any other product in group 54 ABHISHEK MORRIS
  • 55. CLEANING VALIDATION Selection of limits Example 2 The data show in Slide 60 for the current group of five products shows that Product E has the largest Daily Dose Weight (300 mg) and Product D has the Smallest Batch Size (10 Kg) of the product group. Thus the Worst Case Number of Doses would be: Worst case # doses = 10,000,000 mg = 33,333 doses 300 mg/dose 55 ABHISHEK MORRIS
  • 56. CLEANING VALIDATION Selection of limits Example 2 The 10 Kg was converted to mg so that the units would agree. This value would now be substituted back into the MACO calculation with the following results: MACO = DTDA x WC#D in following product SF MACO = 10 mg x 33,333 = 333 mg 1000 We can now perform a 'worst case' calculation for each of the five products in the group and this would reduce the number of calculations from twenty down to five. The resulting calculations for the group of five products are shown in the next slide. 56 ABHISHEK MORRIS
  • 57. CLEANING VALIDATION Selection of limits Example 2 PRODUCT A B C D E MACO for all products in group mg 333 990 3330 6660 16650 The MACO for Product A, shown in slide 55, is the maximum residue that can be present on the surfaces of all common equipment in the train. This is regardless of which product is being produced and which product is produced next. 57 ABHISHEK MORRIS
  • 58. CLEANING VALIDATION Selection of limits Example 3 The limit of Product A (which contains the most potent active) in Product B (which contains the least number of maximum daily doses per batch) MACO = D x E mg where: D = The minimum daily dose of the smallest strength of Product A E = The maximum number of daily doses per batch of Product B 58 ABHISHEK MORRIS
  • 59. CLEANING VALIDATION Selection of limits Example 3 In a tablet product grouping product A is the most potent. One thousandth of the minimum daily dose is 0.0006 mg. Product D has the least number of maximum daily doses per batch, 50,000. The MACO limit is 0.0006 x 50,000 = 30mg 59 ABHISHEK MORRIS
  • 60. CLEANING VALIDATION Selection of limits Example 3 From swabbing, the total residue found on all common equipment is 0.600 mg. Based on the data, the cleaning procedure is acceptable regardless of which product is being produced and which product is produced next. 60 ABHISHEK MORRIS