Qbd for Liquid Oral Suspension by Shivang Chaudhary Qbd Expert

November 28, 2017 | Author: toko pojok | Category: Colloid, Generic Drug, Pharmaceutical Drug, Rheology, Solubility
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Short Description

qbd journal...

Description

Definition of

QTPP

Determination of

A MODEL

QUALITY BY DESIGN FOR FORMULATON DEVELOPMENT & PROCESS OPTIMIZATION OF A BIPHASIC LIQUID ORAL DOSAGE FORM-SUSPENSION

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

Designed & Developed by

&Development of Feedback Control system

Formulation Engineer (QbD/PAT System Developer & Implementer) MS (Pharmaceutics)- National Institute of Pharmaceutical Education & Research (NIPER), INDIA PGD (Patents Law)- National academy of Legal Studies & Research (NALSAR), INDIA Implementatn of

Control Strategy

facebook.com/QbD.PAT.Pharmaceutical.Development https://in.linkedin.com/in/shivangchaudhary  +91 -9904474045, +91-7567297579

© Copyrighted by Shivang Chaudhary  [email protected]

© Created & Copyrighted by Shivang Chaudhary

Aim Project

Goal

To Develop : •

Stable & Therapeutic Equivalent (Pharmaceutical Equivalent + Bioequivalent) IR Generic Liquid Oral Suspension



Robust & Rugged Reproducible Manufacturing Process



with a Control Strategy that ensures the quality & performance of the drug product as per Quality by Design

© Created & Copyrighted by Shivang Chaudhary

iNSIDES Targeting

Bullets

QbD & Its Elements

Definition of QTPP

Determination of CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE &

Development of Design Space © Created & Copyrighted by Shivang Chaudhary

PAT &

Development of Feedback Controls Implementation of

Control Strategy © Created & Copyrighted by Shivang Chaudhary

Definition of

QTPP

Determination of

CQAs

What is the meaning of

Quality Risk Assessment of

CMAs & CPPs

Quality by Design?

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

What is QbD? Definition of

QTPP

Determination of

CQAs

Quality The suitability of either a drug substance or a drug product for its intended use.

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

Quality by Design (QbD) A SYSTEMATIC approach • to development • that begins with predefined objectives and • emphasizes product and process understanding • and process control, • based on sound science and quality risk management.

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

Definition of

QTPP

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Define QTPP (Quality Target Product Profile) On the basis of THERAPEUTIC EQUIVALENCE for Generic Drug Product = PHARMACEUTICAL EQUIVALENCE (same dosage form, route of administration, strength & same quality) + BIO-EQUIVALENCE (same pharmacokinetics in terms of Cmax, AUC to reference product)

Determine CQAs (Critical Quality Attributes) Considering QUALITY [Assay, Uniformity of Dosage units,], SAFETY [Impurities (Related substances), Residual Solvents, Microbiological limits], EFFICACY [Dissolution & Absorption] & MULTIDISCIPLINARY [Patient Acceptance & Compliance]

Quality Risk Assessment of CMAs & CPPs with CQAs (1) RISK IDENTIFICATION: by Ishikawa Fishbone (2) RISK ANALYSIS by Relative Risk based Matrix Analysis (3) RISK EVALUATION by Failure Mode Effective Analysis

Designing of Experiments (DoE) & Design Space For SCREENING & OPTIMIZATION of CMAs & CPPs with respect to CQAs by superimposing contour plot to generate OVERLAY PLOT (Proven acceptable Ranges & Edges of failure ) based upon desired ranges of Responses

Process Analytical Technology (PAT) For continuous automatic IN LINE analyzing & FEED BACK controlling critical processing through timely measurements of CMA & CPAS by INLINE ANALYZERS WITH AUTO SENSORS with the ultimate goal of consistently ensuring finished product quality with respect to desired CQAs

Implementation of Control Strategy For CONTROLS OF CMAs, CPPs within Specifications, by Real Time Release Testing, Online Monitoring System, Inline PAT Analyzers based upon previous results on development, Scale Up. Exhibit/ Validation batches.

© Created & Copyrighted by Shivang Chaudhary

Definition of

QTPP

Determination of

CQAs

1 How to define

Quality Risk Assessment of

CMAs & CPPs

Target Product Profile?

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

What is QTPP? Definition of

QTPP

Determination of

CQAs

QUALITY TARGET PRODUCT PROFILE (QTPP) Quality Risk Assessment of

CMAs & CPPs

A Prospective Summary of • the quality characteristics of a drug product • that IDEALLY will be achieved to ensure the desired quality, • taking into account Safety & Efficacy of the drug product.

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Note: • For Pharmaceutical Abbreviated New Drug Application (ANDA- Generics) QTPP will be finalized -on the basis of Therapeutic Equivalence= Pharmaceutical Equivalence (same dosage form, route of administration, strength & same quality) + Bio-Equivalence (same pharmacokinetics in terms of Cmax, AUC; • Thus QTPP of Generics will be defined based on the properties of the drug substance, characterization of the RLD product, and consideration of the RLD label and intended patient population. • For Pharmaceutical New Chemical Entities (NCE-Innovator) QTPP will be finalized on the basis of Therapeutic Safety & Efficacy / New Drug Applications (NDA-Novel Drug Delivery Systems as compared to already approved & available conventional dosage forms)

© Created & Copyrighted by Shivang Chaudhary

PHARMACIST’s POINT OF VIEW Definition of

QTPP

PHYSICIAN”s POINT OF VIEW

PATIENT’S POINT OF VIEW

Quality Target Product Profile (QTPP) of Suspension Therapeutic Equivalence = Pharmaceutical Equivalence + Bio-Equivalence Of Generic Suspension

with Patient Compliance

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

PHARMACEUTICAL Equivalence Similar Dosage FORM : Suspension Dosage DESIGN : IR ROUTE of Administration : Oral Dosage STRENGTH : x mg/ml Drug Product QUALITY :

BIOEquivalence Similar Pharmacokinetics: Rate of Absorption AUC0-t, , AUC0-∞

Extent of Absorption: Cmax 90 % CI of these PK Parameters should fall within bioequivalence limits of 80-125 with reference product

Assay, Uniformity, Impurities, Dissolution, Microbiological Limits, Antioxidant content, Antimicrobial content, PSD, pH, Viscosity/ Sp. Gravity, Leachable/ Extractable within acceptable limits of specification Note: Plastic/ Rubber should not allow permeation, leaching, extraction or sorption

PATIENT Compliance Primary PACKAGING: Container : (Glass/Plastic/Metal) & Closure : (Plastic/Metal/Rubber)

Ease of Storage & Distribution Should be stable against sedimentation, caking, hydrolysis, oxidation, photo degradation & microbial growth with at least 12 months stability at normal room temperature & 28 Days of in-Use Shelf Life

Patient Acceptance Should possess acceptable flavor, taste & odor

Patient Compliance re-dispersible upon shaking/administered (pourable & palatable)/used/ applied similarly © Created & Copyrighted by Shivang Chaudhary with Reference Product labeling

Definition of

QTPP

Determination of

CQAs

2 How to determine

Quality Risk Assessment of

CMAs & CPPs

Critical Attributes of Quality?

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

What is CQA? Definition of

QTPP

Determination of

CQAs

Critical Quality Attribute (CQA) Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

A CQA is a • Physical, • Chemical, • Biological, or • Microbiological property or characteristic that should be within an appropriate limit, range, or distribution to ensure the desired product quality.

Note: CQAs are generally associated with the drug substance, excipients, intermediates (in-process materials) & Finished drug product. on the basis of Quality [Assay, Uniformity of Dosage units, Redispersibility, Reconstitution time, Aerodynamic property], Safety [Impurities (Related substances), Residual Solvents, Osmolarity & Isotonicity, Microbiological limits, Sterility & Particulate matter], Efficacy [Diffusion, Dissolution & Permeation] & Multidisciplinary [Patient Acceptance & Compliance]. Identification of critical quality attributes (CQAs) was based on the severity of harm to a patient (safety and efficacy) resulting from failure to meet that quality attribute of the drug product.

© Created & Copyrighted by Shivang Chaudhary

MULTI DISCIPLINARY

QTPP

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

EFFICACY

Formulation & Process variables have direct impact on this CQA. This will remain as a target element of the drug product profile and should be investigated and discussed in detail in subsequent risk assessment and pharmaceutical development

 CQAs

SAFETY

Critical Quality Attributes (CQA) of Suspension

Definition of

Determination of

QUALITY

!

Formulation and process variables are unlikely to impact this CQA. Therefore, the CQA will not be investigated and discussed in detail in subsequent risk assessment and pharmaceutical development. Formulation & Process variables does not have any impact on this CQA. No need for any further investigation & discussion.

 

Physical Attributes

!

Identification



Assay of Preservative

Positive for Drug Substance But controlled at Drug Substance Release stage itself

Color, Flavor, Taste , Viscosity USP / Sp. Gravity USP & Re-dispersibility should be mostly similar to reference product to ensure physical stability & Patient Acceptance & Compliance

 Content Uniformity

Should Conform to USP Uniformity of Dosage Units: 85.0115.0 % of labeled claim with AV: NMT 15.0 to ensure patient Safety & product Efficacy

 PSD & Dissolution NLT 85 % (Q) of labeled amount of drug / single dose should be dissolved within 30 mins. in pH 1.2- 0.1N HCl (500 ml), USP Apparatus II paddle), 50 rpm to ensure desired bioavailability & efficacy

As per USP Should maintain the microbial quality of the product & to prevent oxidation throughout shelf life & proposed in-use shelf life to ensure patient safety.

!

Extractable & Leachable

Stability data should show evidence that extractable & leachable from the container/closure systems are consistently below acceptable levels to ensure patient safety.



Assay Should be between 90.0 to 110.0 % of labeled claim to ensure safety & efficacy

& Impurities  pH Should be within limits as per

ICH Q3A & Q3B OR Reference Product Characterization to ensure chemical stability of formulation & patient Safety

Microbiological  Limits Should Conform to USP But controlled at Drug Substance & Excipient Release stage itself to ensure microbiological stability & patient safety © Created & Copyrighted by Shivang Chaudhary

Definition of

QTPP

Determination of

CQAs

3 How to assess Risks associated with

Quality Risk Assessment of

CMAs & CPPs

Materials & Process?

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

What is CMA & CPP? Definition of

QTPP

Determination of

CQAs

Critical Material Attribute (CMA) Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Independent formulation variables i.e. physicochemical properties of active(drug substance) & inactive ingredients(excipients) • affecting CQAs of semi-finished and/or finished drug product

Critical Process Parameter (CPP) Independent process parameters • most likely to affect the CQAs of an intermediate or finished drug product & therefore should be monitored or controlled • to ensure the process produces the desired quality product. Note: Risk related to individual CMAs &/or CPPs will be identified, analyzed qualitatively & then evaluated quantitatively in order to reduce the probability of risk through optimization by DoE &/or inline detection by PAT.

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

Critical Processing Parameters

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Type of purification system (ion exchange/reverse osmosis) Rate of filtration Heating temperature & time Type & Position of Impeller Mixing Speed & Time

Order of addition Heating temperature & Time Type & Position of Impeller Mixing Speed & Mixing Time

Order of addition Heating temperature & Time Type & Position of Impeller Mixing Speed & Mixing Time

Type & Principle of milling Milling speed Screen size of mill Type & Size of Filter Rate of filtration

Implementatn of

Control Strategy

RISK ASSESSMENT

Controlled Flocculation Process Map

QTPP

CQAs

RISK EVALUATION

Identification of Factors involved in

Definition of

Determination of

RISK ANALYSIS

Filling rate Capping & Sealing rate Nitrogen purging &/or sparging rate Sealing rate after closure fitting

Critical Attributes of Input Materials Solvent source, purity, polarity, pH, Viscosity/sp. Gravity, Volatility, Microbial content Type & Source of color/ flavor/ sweetener (natural/ semisynthetic/ synthetic), Microbial content of color, flavor & sweetener

Drug substance PSD/SSA, Contact angle, Vehicle purity, polarity, pH, Viscosity, Rheology, Sp. Gravity/ Density, Volatility & Microbial content Type & Concentration of Surfactant Concentration of preservative Source ,Concentration, Viscosity, pH & Microbial contents of hydrocolloids

pH of buffer/salts, Concentration of buffers/salts Purity, Solubility, Compatibility, Stability & Toxicity of Buffers/Salts Vehicle purity, polarity, pH, Viscosity, Sp. Gravity, Volatility, Microbial Physical Attributes , Assay, Impurity, pH & Preservative content of system Dissolution*, Reconstitution time**

Physical Attributes (clarity#/ Homogeneity*) Assay, Impurity, Uniformity of Dosage units, Viscosity/Rheology, Specific Gravity/Density Microbial content of system

Physical Attributes (Clarity#, Homogeneity*), Assay, Impurity, Uniformity of Dosage units, Viscosity/Rheology, Specific Gravity/Density of system, pH & Preservative content of system Dissolved Oxygen of system Microbial content of system Material of container (Glass/Metal/ Plastic) Material of closure (Metal/Plastic/Rubber) Design & Size of container/closure

# Applicable to Solution only; * Applicable to Suspension only; ** Applicable to reconstituted powder only Environment (Temperature and RH)

Manufacturing Process Steps

Vehicle Preparation & Storage Organoleptic addition

Controlled Flocculation by Surfactants & Hydrocolloid

pH adjustment & Final Volume make up with vehicle & final mixing

Filtration in Colloid mill

Filling , Capping & Sealing with nitrogen purging

Quality Attributes of Output Materials

Physical Attributes (color, odor, taste) Vehicle purity, Vehicle polarity Vehicle pH, Vehicle Viscosity/sp. Gravity Vehicle Volatility, Vehicle Microbial content

Physical Attributes (Homogeneity#/Sedimentation*/Caking*) Assay, Uniformity of Dosage units, pH & Preservative content of system Viscosity/Rheology, Specific Gravity/Density & Extractable volume of system, Particle Size distribution*, Zeta Potential*, Redispersibility*,Microbial content of system

Physical Attributes (color, flavor. taste), Assay, Impurity, Uniformity of Dosage units, Viscosity/Rheology, Specific Gravity/Density & Extractable volume of system, pH & Preservative content of system, Dissolution*, Reconstitution time**, Dissolved Oxygen of system Microbial content of system

Physical Attributes (Clarity#, Homogeneity*), Assay, Uniformity of Dosage units*, pH, Impurity, Assay of Preservative content of system, Particle Size distribution*, Zeta potential*, Redispersibility*, Dissolution*, Reconstitution time**

Physical Attributes, Assay, Impurity, Uniformity of dosage units*, Uniformity of Weight**, Viscosity/Rheology, Specific Gravity/Density & Extractable volume of system, pH & Preservative content of system, Dissolved / Headspace Oxygen content of system Microbial content of system Patient Acceptance & Compliance

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION Definition of

QTPP

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

Identification of Risk Factors by

Ishikawa Fishbone Diagram

Determination of

CQAs SOLUBILIZATION BY SURFACTATNT BODYING BY HYDROCOLLOID&/OR VOLUME MAKE UP VISCOSITY OF SYSTEM

Quality Risk Assessment of

CMAs & CPPs

FILTRATION, FILLING, CAPPING & SEALING COLLOID MILL MESH SIZE FILTER SCREEN SIZE

VEHICLE QUANTITY

FILRATION RATE

EXTRACTABLE/LEACHABLE

& Development of Design Space

NITROGEN PURGING RATE

HYDROCOLLOID SOURCE

COLOR SOURCE & CONC.

OXYGEN EXPOSURE

SURFACTANT SOURCE

SWEETENERS SOURCE & CONC FLAVORS SOURCE & CONC

LIGHT EXPOSURE TEMPERATURE

PAT

MATERIAL OF 1° PACKAGING

BUFFER CONCENTRATION

RELATIVE HUMIDITY

TYPE & CONC. OF SURFACTANT CONC. OF COMPLEXING AGENTS

STIRRING RATE (SPEED *TIME)

STIRRING RATE

STIRRING RATE

BIOBURDEN

ENVIRONMENTAL FACTORS

INTERFACIAL TENSION OF SYSTEM API AQUEOUS SOLUBILITY

TYPE & CONC. OF PRESERVATIVE

CO-SOLVENT QUANTITY

RATE OF FILLING & SEALING

DoE

TYPE OF HYDROCOLLOID HYDROCOLLOID CONC.

API PSD & SURFACE AREA

STIRRING RATE pH ADJUSTMENT & ADDITION OF ORGANOLEPTICS

API STABILITY API PURITY RAW MATERIAL

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION Definition of

QTPP

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

Qualitative Risk based Matrix Analysis of

Active Pharmaceutical Ingredient’s (API) Attributes

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

FP CQAs

Appearance Assay Uniformity of Content** Uniformity of Weight*** Impurities pH of System Microbial Limits Antimicrobial content Antioxidant content Extractable Viscosity/specific gravity Particle Size Distribution** Dissolution* Redispersibility** Reconstitution time*** Low Medium High

Physical Form High Low Medium Low Medium Low Low Low Low Low Low

Particle size** Low Low High Medium Medium Low Low Low Low Low Low

Low High Low Low

Solubility* Volatility

Purity

Stability

Microbial Moisture Residual Content content*** Solvent*** Low Low Low Low Low Low Low Low Low Low Low Low Low Medium Medium Medium Low Low High Medium Low High Low Low Medium Low Low Low Low Low Low Low Low

Low Low High Low Low Low Low Low Low High Low

Low Low High Low Low Low Low Low Low High High

Low High Low Low High Low Low Low Low Low Low

Low High Low Low High Medium Low Low Low Low Low

High

Low

Low

Low

Low

Low

Low

Low

High High High

High Low High

Medium Low Low

Low Low Low

Medium Low Low

Low Low Low

Low Low Low

Low Low Low

Broadly acceptable risk. No further investigation is needed Risk is acceptable. Further investigation/justification may be needed in order to reduce the risk. Risk is unacceptable. Further investigation is needed to reduce the risk.

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

RISK ASSESSMENT Detectability of Risk can be increased through In Line PAT System

Active Pharmaceutical Ingredient’s (API) Attributes

QTPP

PhysicoChemical Property of Actives Determination of

CQAs Physical Property Quality Risk Assessment of

CMAs & CPPs Chemical Property

DoE

& Development of Design Space

Biological Property

PAT

RISK EVALUATION

Quantitative Failure Mode Effect Analysis (FMEA) of

Definition of

&Development of Feedback Control system

RISK ANALYSIS

Critical Material Attribute (CMAs)

Failure Mode Effect on IP & FP CQAs with respect to QTPP (Critical (Justification of Failure Mode) Event)

Solid Sate Form

Different Polymorph/ form

Particle Size Distribution (PSD)

Higher PSD

Moisture content

High water content

Residual Solvents

High residual solvent

Solubility

Different Salt/ Form

Volatility

High

Process Impurities

Less Purity

Chemical Stability

poor

Microbial Content

High

P

S

Solubility of drug substance may get affected= Probability2of Risk4can >> Dissolution of drug product may get affected >> BIOAVAILABILITY-EFFICACY may get compromised be Reduced through DoE Optimization BCS Class II/IV Low Solubility drug >> Dissolution of drug product may get affected 4 4 >> BIOAVAILABILITY/EFFICACY may get compromised Rate of degradation may get affected >> Impurity profile may get affected 2 3 >> SAFETY of the product may get compromised Residual solvents are likely to interact with drug substance >> Impurities profile may get affected 2 3 >> SAFETY may get compromised Dissolution of the drug product may get affected 2 3 >> BIOAVAILABILITY-EFFICACY may got compromised Assay & Content Uniformity may be affected 2 3 >> EFFICACY may get compromised Assay & impurity profile of drug product may be affected = 2 3 >> Quality & SAFETY may got compromised Susceptible to dry heat/oxidative/hydrolytic/UV light degradation- impurity profile may get affected 2 3 >> Quality & SAFETY may got compromised MICROBIAL LOAD may get increased during transportation, shipping, storage & in-use 2 3 >> MICROBIOLOGICAL STABILITY may get compromised >> SAFETY of patient may get compromised

Probability*

Severity**

Detect ability***

Very Unlikely Occasional Repeated Regular

Minor Moderate Major Extreme

Always Detected Regularly Detected Likely not Detected Normally not Detected

D

RPN (=P*S*D)

4

32

3

48

2

12

2

12

4

24

4

24

3

18

3

18

4

24

Score 01 02 03 04

Total Risk Priority Number (RPN) more than 30 seek critical attention for DoE for possible failure.

Implementatn of

Control Strategy

Score based on

Score based on

Score based on

PROBABILITY FOR OCCURANCE OF FAILURE

LIKELY SEVERITY IMPACT ON DRUG

PROBABILITY OF FAILURE OF DETECTION.

PRODUCT CQA.

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION Definition of

QTPP

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

CRITICAL

Active Pharmaceutical Ingredient’s (API) Attributes Required to be Optimized &/Or Controlled

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

API Attributes which got RPN more than 30 were get highest priority among all the risks, they should be taken into consideration as most Critical Material Attributes of API , which were required to be optimized &/or controlled © Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION Definition of

QTPP

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

CRITICAL

Active Pharmaceutical Ingredient’s (API) Attributes Required to be Optimized &/Or Controlled

Determination of

CQAs

CMAs of

API

Quality Risk Assessment of

CMAs & CPPs

A

SOLID STATE FORM

B

PARTICLE SIZE

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

Qualitative Risk based Matrix Analysis of

Definition of

Inactive Ingredients’ (Excipients’) Attributes

QTPP

Determination of

CQAs FP CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Appearance Assay Uniformity of Content** Uniformity of Weight*** Impurities pH of System Microbial Limits Antimicrobial content Antioxidant content Extractable Viscosity/specific gravity Particle Size Distribution** Dissolution** Redispersibility** Reconstitution time*** Low Medium High

Surfactants Solvents/ Hydrocolloid (Solubilizing Buffering Co-solvents/ (Suspending / Wetting agent Vehicles agent) agents)

Preservatives

Organoleptic Additives

Anti Microbial

Anti Oxidant

Colors

Flavors

Sweeteners

High High High Low High High Medium Low Low High High

High High High Low Medium Low Low Low Low High Low

High High High Low Low Low Medium Low Low Low High

Low Low Low Low High High Low High High Low Low

Low Low Low Low Medium Low High High Medium Low Low

Low Low Low Low Medium Low Low Medium High Low Low

High Low Low Low Medium Low Medium Low Low Low Low

Low Low Low Low Medium Low Medium Low Low Low Low

Low Low Low Low Medium Low Medium Low Low Low Low

Low

High

Low

Low

Low

Low

Low

Low

Low

Low High High

High High High

Low High High

High Low Low

Low Low Low

Low Low

Low Low Low

Low Low Low

Low Low Low

Broadly acceptable risk. No further investigation is needed Risk is acceptable. Further investigation/justification may be needed in order to reduce the risk. Risk is unacceptable. Further investigation is needed to reduce the risk.

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

Excipient

Solvents/ Cosolvents/ Vehicles

CQAs

CMAs & CPPs

DoE

Surfactants (As a Solubilizing/ Wetting agents)

PAT

Electrolytes (As a Controlled Flocculating Agent)

Hydrocolloid (As a Supporting Structured Vehicle)

Control Strategy

Quantity of Vehicle/ Solvent

Failure Mode (Critical Event)

P

S

D

RPN (=P*S*D)

3

3

3

27

4

3

2

24

2

3

4

24

3

3

3

27

3

4

4

48

3

4

4

48

3

4

4

48

3

4

4

48

3

4

4

48

2

3

4

24

3

4

4

48

3

3

2

18

SOLUBILITY of the weak acidic / weak basic drugs may get affected >> EFFICACY may get compromised

3

3

3

27

CHEMICAL STABILITY of pH sensitive drugs/ preservatives may get affected >> SAFETY of patient may get compromised

3

3

3

27

Less than optimum

MICROBIAL LOAD may get increased during transportation, storage & inuse >> MICROBIOLOGICAL STABILITY may get compromised >> SAFETY of patient may get compromised

3

3

4

36

Less than optimum

LEVEL OF OXIDIZED IMPURITIES of the product may get increased >> CHEMICAL STABILITY may get compromised >> SAFETY of the patient may get compromised

3

3

4

36

Not optimum

Product TASTE may not be palatable & agree able >> Patient COMPLIANCE may get compromised

3

3

2

18

Not optimum

APPEARANCE of the product may not be pleasant >> Patient ACCEPTANCE may get compromised

3

3

2

18

Less than optimum More than optimum

Source of Vehicle/ Solvents/ Cosolvents

Natural without purification

Ionic Nature of Surfactant

Cationic/ Anionic in nature

Less than optimum Concentration of Surfactant

Less than optimum Concentration of Electrolytes More than optimum Source of Hydrocolloid Concentration of Hydrocolloid

Natural Less than optimum

More than optimum

Buffering Agent

Anti-Microbial Implementatn of

CMAs

More than optimum

& Development of Design Space

&Development of Feedback Control system

RISK ASSESSMENT

Inactive Ingredients’ (Excipients’) Attributes

QTPP

Quality Risk Assessment of

RISK EVALUATION

Quantitative Failure Mode Effect Analysis (FMEA) of

Definition of

Determination of

RISK ANALYSIS

Anti-Oxidant Sweetener/ Flavoring agent Coloring agent

pH of the Buffer Concentration of Anti-Microbial Concentration of Anti-Oxidant Concentration of Sweetener/ Flavor Concentration of Coloring Agent

Within Neutral Range Within Acidic/ Basic Range

Effect on IP & FP CQAs with respect to QTPP (Justification of Failure Mode) Drug Substance may NOT get completely SOLUBILIZED or uniformly DISTRIBUTED >> CONTENT UNIFORMITY may get affected >> SAFETY & EFFICACY may get compromised Product may get BULKIER to handle >> Patient ACCEPTANCE & COMPLIANCE may get compromised Source of VEHICLE is natural i.e. PLANT OR ANIMAL BASED ORIGIN >> Potential for microbial attack & growth >> MICROBIOLOGICAL STABILITY may get compromised >> SAFETY of the patient may get compromised If surfactant is positively/ negatively CHARGED >> INCOMPATIBLE with anionic/cationic drugs /preservatives / primary packaging material >> CHEMICAL / MICROBIOLOGICAL STABILITY may get compromised >> SAFETY of the patient may get compromised Drug Substance/ Preservatives may NOT getting effectively SOLUBILIZED/ DISTRIBUTED within system >>SAFETY & EFFICACY may get compromised ZETA POTENTIAL of the system may be too low >> Particles COALESCE & flocculated suspension forms >> Suspension start to form REDISPERSIBLE SEDIMENT >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised ZETA POTENTIAL of the system may be too high >> Particles REPEL each other & forms deflocculated suspension which upon settled down invariably leads to form HARD CAKE >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised VERY LOOSE FLOCS will be formed through reducing forces of repulsion >> Particles repel each other & forms deflocculated suspension which upon settled down invariably leads to form HARD CAKE >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised HARD BOUND FLOCS will be formed by increasing forces of coalescence >> Particles COALESCE & flocculated suspension forms >> Suspension start to form REDISPERSIBLE SEDIMENT >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised Source of hydrocolloid is natural i.e. PLANT OR ANIMAL BASED ORIGIN >> Potential for microbial attack & growth >> MICROBIOLOGICAL STABILITY may get compromised >> SAFETY of the patient may get compromised VISCOSITY of dispersion medium may be too low >> Rate of SEDIMENTATION will be high >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised VISCOSITY of dispersion medium may be too high >> POUR ABILITY of the product may get compromised >> PATIENT COMPLIANCE may get compromised

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION Definition of

QTPP

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

CRITICAL

Inactive Ingredients’ (Excipients’) Attributes Required to be Optimized &/Or Controlled

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Excipients’ Attributes which got RPN more than 30 were get highest priority among all the risks, they should be taken into consideration as most Critical Material Attributes of Excipients, which were required to be optimized &/or controlled © Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

CRITICAL

Definition of

Inactive Ingredients’ (Excipients’) Attributes

QTPP

Required to be Optimized &/Or Controlled

Determination of

CMAs of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

EXCIPIENTS A

SURFACTANT (%w/w)

B

HYDROCOLLOID (%w/w)

C

ANTI MICROBIAL (%w/w)

D

ANTI OXIDANT (%w/w)

E

SWEETENER (%w/w)

F

FLAVOR (%w/w)

G

COLOR (%w/w)

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

Qualitative Risk based Matrix Analysis of

Definition of

Processing Parameters

QTPP

Determination of

CQAs FP CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Physical attributes Assay Uniformity of Content** Uniformity of Weight*** Impurities pH of System Microbial Contents O2 in headspace/ dissolved O2 Antimicrobial content Antioxidant content Extractable Viscosity/specific gravity Particle Size Distribution** Dissolution** Redispersibility** Reconstitution time*** Low Medium High

Solubilizing*/ Solvent/ Wetting** of Controlled Final Volume Organoleptic pH Filtration*/ Vehicle Solids (API+ Flocculation Bodying with make up additives adjustment Milling** in Preparation Preservative) by Hydrocolloid with vehicle addition by buffering Colloid mill & storage by Electrolytes & mixing Surfactants

High Low Low Low High High High High Low Low Low High Low Low Low High

High High High Low High Medium Low High Medium Medium High Low Low High High High

High High High Low Low High Low Low High High Medium Low High Low Low Low

High High High Low Low Medium Medium Low Low Low Low High High Low Low Low

High Low Low Low Low Medium Medium Low Low Low Low Low Low Low Low Low

Low Medium Low Low High High Low Low High High High Low Low High Low High

High High High Low High High Medium High High High High High Low High Low High

High High High Low Low Low Low Low Low Low Low Low High High High High

Filling & Capping

Low Medium Low High High High High High High High High Low Low Low Low Low

Broadly acceptable risk. No further investigation is needed Risk is acceptable. Further investigation/justification may be needed in order to reduce the risk. Risk is unacceptable. Further investigation is needed to reduce the risk.

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

Unit Operations

Critical Process Parameter (CPPs) Rate of Addition Filtration Rate

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Solvent/ Vehicle Preparation with organoleptics & storage

Wetting* of Solids (API+ Preservative) by Surfactants Controlled Flocculation by Surfactants / Electrolytes / Polymers

Heating Rate (Temp*Time)

Bodying with Hydrocolloid*

P

S

D

RPN (=P*S*D)

Higher than Optimum

Physical Attributes, Impurity profile & Microbial Load may get affected >> Safety may get compromised

2 2

3 3

4 4

24 24

Lower than Optimum

Physical Attributes may get affected >> Safety may get compromised

3

3

3

27

Higher than Optimum

Impurity profile & Assay may get affected >> Safety may get compromised

3

3

3

27

3

3

3

27

2 2

3 3

4 4

24 24

3

3

4

36

3

3

4

36

2

3

4

24

3

4

4

48

2

3

4

24

2

3

4

24

Order of addition Impeller Design & Position

Incorrect Improper

Mixing Rate (Speed*Time)

Lower than Optimum

Heating Rate (Temp*Time) Order of Addition Mixing Rate (Speed*Time)

Rate of Addition

Rate of Addition Impeller Design & Position Mixing Rate (Speed*Time) Heating Rate (Temp*Time) Type & Principle of Mill Filter/ Mill Screen Size Rate of Milling

Implementatn of

Filling , Capping & Sealing with nitrogen purging

Effect on IP & FP CQAs with respect to QTPP (Justification of Failure Mode)

Lower than Optimum

Mixing Rate (Speed*Time) pH Adjustment with Buffer &Final Volume make up with vehicle & final mixing

Failure Mode (Critical Event)

Mixing Rate (Speed*Time) with Co-Solvents

Order of Addition

MicroMilling** in Colloid mill

Control Strategy

RISK ASSESSMENT

Processing Parameters

QTPP

CQAs

RISK EVALUATION

Quantitative Failure Mode Effect Analysis (FMEA) of

Definition of

Determination of

RISK ANALYSIS

Filling rate (Speed*Time) Nitrogen purging rate Capping & Sealing rate

Higher than optimum Incorrect Lower than Optimum Incorrect Higher than optimum

Physical Attributes (Color, Odor, Taste) , Content Uniformity & ultimately Assay may get affected >> Safety & Efficacy may get compromised >> PATIENT COMPLIANCE may get compromised Physical Attributes, ZETA POTENTIAL, Content Uniformity & ultimately Assay may get affected >> Sedimentation/Caking may be observed >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised Impurity profile & ultimately Assay may get affected >> CHEMICAL STABILITY may get compromised >> SAFETY may get compromised Physical Attributes, Particle Size Distribution (flocks) Content Uniformity & ultimately Assay may get affected >> Sedimentation/Caking may be observed >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised

Lower than Optimum

Physical Attributes, VISCOSITY, SVR/SHR. Content Uniformity & Ultimately Assay may get affected >> Sedimentation/Caking may be observed >> PHYSICAL STABILITY may get compromised >> SAFETY & EFFICACY may get compromised

3

3

4

36

Higher than Optimum Improper Lower than Optimum

Physical Attributes, Particle Size Distribution, pH/ Solubility, Content Uniformity & Assay may get affected >> Sedimentation/Caking may be observed >> PHYSICAL & CHEMICAL STABILITY may get compromised >> Safety & Efficacy may get compromised

2

3

4

24

2 3

3 3

4 4

24 36

Lower than Optimum

Microbiological Stability may get affected >> Safety may get compromised Impurity profile & Assay may get affected > CHEMICAL STABILITY may get compromised >> SAFETY may get compromised

3

3

4

36

3

3

4

36

2 2

3 3

4 4

24 24

3

3

3

27

3

2

2

12

3

3

4

36

3 3

3 3

4 4

36 36

Higher than Optimum Improper Incorrect Higher than Optimum

Physical Attributes, Impurity profile, Microbial Load, Content Uniformity & ultimately Assay may get affected >> PHYSICAL STABILITY may get compromised >> Quality, SAFETY & EFFICACY may get compromised

Not Optimum

Uniformity of Weight may get affected >> PATIENT ACCEPTANCE may get compromised

Higher than Optimum Lower than optimum Lower than Optimum

Dissolved / Headspace Oxygen may get increased >>Oxidation Impurity profile & Assay may get affected >> Safety may get compromised

© Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION Definition of

QTPP

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

CRITICAL

Processing Parameters Required to be Optimized &/Or Controlled

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Process Parameters which got RPN more than 30 were get highest priority among all the risks, they should be taken into consideration as most Critical Process Parameters , which were required to be optimized &/or controlled © Created & Copyrighted by Shivang Chaudhary

RISK IDENTIFICATION

RISK ANALYSIS

RISK EVALUATION

RISK ASSESSMENT

CRITICAL

Definition of

Processing Parameters

QTPP

Required to be Optimized &/Or Controlled

CPPs of

Determination of

CQAs

CONTROLLED SOLUBILIZATION

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

A

%SURFACTANT

B

%HYDROCOLLOID

C

MIXING TIME

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

Definition of

QTPP

Determination of

CQAs

4 How to evaluate & optimize risks by

Quality Risk Assessment of

CMAs & CPPs

Designing of Experiments?

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

What is DoE & DS? Definition of

QTPP

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Design of Experiments (DoE) A Systematic Series of Experiments, • In which purposeful changes are made to input factors to identify causes for significant changes in the output responses & • Determining the relationship between factors & responses to evaluate all the potential factors simultaneously, systematically and speedily; • With complete understanding of the process to assist in better product development & subsequent process scale-up With pretending the finished product quality & performance.

Design Space The Multidimensional Combination & Interaction of • Critical Material Attributes and • Critical Process Parameters that have been demonstrated to provide assurance of quality. Note: Working within the design space is not considered as a change. Movement out of the design space is considered to be a change © Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

Definition of

CONTROLLED FLOCCULATION(Contd…)

QTPP

Optimization of CMAs & CPPs OF

Suspension Homogenization Process

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

C

STIRRING TIME

B

HYDROCOLLOID

A

SURFACTANT

RISKS PAT

&Development of Feedback Control system

INADEQUATE VISCOSITY

INADEQUATE ZETA POTENTIAL

HIGH RATE OF SEDIMENTATION

CONTENT UNIFORMITY COMPROMISED Implementatn of

QUALITY COMPROMISED

SAFETY COMPROMISED

EFFICACY COMPROMISED

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

Definition of

CONTROLLED FLOCCULATION(Contd…)

QTPP

To Optimize CMAs & CPPs of Liquid Suspension Dosage Form

OBJECTIVE Determination of

Quality Risk Assessment of

CMAs & CPPs

3

NO. OF FACTORS

NO. OF FACTORS

3

NO. OF LEVELS

3

EXPERIMENTAL DESIGN SELECTED

“High”

Medium

C

DoE

BOX BEHNKEN DESIGN STIRRING TIME

CQAs

& Development of Design Space

ADD. CENTER POINTS

2

TOTAL NO OF EXPERIMENTAL RUNS (NO OF TRIALS)

12MP + 3CP =15

“Low” A

SURFACTANT

PAT

&Development of Feedback Control system

3

NO. OF LEVELS

Factors (Variables) Implementatn of

Control Strategy

A B C

SURFACTANT (%) HYDROCOLLOID (%) STIRRING TIME (min)

-1 0.50%w/w 20%w/w 30min

Levels of Factors Studied 0 1.00%w/w 30%w/w 45min

+1 1.50%w/w 40%w/w 60min © Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs Definition of

QTPP

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

CONTROLLED FLOCCULATION(Contd…) CMAs

CPP

CQAs

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

PREDICTION EFFECT EQUATION OF INDIVIDUAL RESPONSE BY QUADRATIC MODEL Sedimentation Volume Ratio = +0.030-0.024A-0.089B-0.020C +0.010AB+2.500E-003AC+2.500E-003BC+0.067A2+0.11B2+0.030C2

Zeta potential= -44.67+12.00A+5.62B+0.38C-2.25 AB-0.25AC+1.00BC -6.92A2-2.67B2-1.17C2

Viscosity = +44.67+3.25A+8.38B+1.13C -0.75AB-0.25AC+0.000BC-1.08A2-3.83B2+0.17C2

Content Uniformity= +1.73-0.20A-0.50B-0.15C +0.000AB+0.050AC+0.000BC+0.41A2+0.76B2+0.26C2

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs Definition of

QTPP

Determination of

CQAs

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

CONTROLLED FLOCCULATION(Contd…) Responses (Effects) Y1 Sedimentation Volume Ratio Y2 Zeta Potential (mV) Y3 Viscosity (cps) Y4 Content Uniformity (AV)

Goal for Individual Responses To achieve the minimum SVR i.e. NMT 0.1 To achieve zeta potential of suspension in the range of -40 to -50 mv To achieve viscosity in the range of 40 to 50 cps To achieve minimum acceptance value in CU i.e. NMT 2.0

By Overlaying contour maps from each responses on top of each other, RSM was used to find the IDEAL “WINDOW” of Operability-Design Space per proven acceptable ranges & Edges of Failure with respect to individual goals

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Factors (Variables) A SURFACTANT (%) B HYDROCOLLOID (%) C STIRRING TIME (min)

Knowledge Space 0.50-1.50 20.0-40.0 30-60

Design Space 0.75-1.25 27.5-37.5 37-53

Control Space 0.85-1.15 30.0-35.0 40-50

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

Definition of

SWEETENER : FLAVOR : COLOR(Contd…)

QTPP

Optimization of

Sweetener Flavor & Color Ratio in liquid oral mixtures

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

3

COLORANT

2

FLAVOR

1

SWEETENER

RISK UNACCEPTABLE TASTE OF LIQUID ORAL MIXTURE

Implementatn of

Control Strategy

PATIENT ACCEPTANCE COMPROMISED

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

Definition of

SWEETENER : FLAVOR : COLOR(Contd…)

QTPP

OBJECTIVE

To Optimize Sweetener : Flavor : Color ratio of Liquid Orals

Determination of

CQAs

EXPERIMENTAL DESIGN SELECTED D-OPTIMAL MIXTURE DESIGN

CMAs & CPPs

SWEETENER

Quality Risk Assessment of

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

• During Optimization of sweetener, flavor & color in liquid orals; ultimate response to be measured was Patient Acceptability Score which was a function of proportion of all 3 components in combination • All 3 factors were components of a mixture, their operating ranges were not same but their total must be 2.0 %w/w of formulation & there were upper bound constraints on the component proportions in the formulation mixture • Thus, Constrained Mixture Design is selected, in opposite to Simplex Mixture, as a special class of RSM for optimization of proportions especially applicable when there are upper or lower bound constraints on the component proportions. TOTAL NO OF EXP RUNS (TRIALS)

Factors (Variables) A SWEETENER (%w/w) B FLAVOR (%w/w) C COLOR (%w/w)

Lower Levels 1.00% 0.50% 0.00%

16

Higher Levels 1.50% 1.00% 0.50%

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs Definition of

QTPP

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

SWEETENER : FLAVOR : COLOR(Contd…) CMAs

CQAs

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

PREDICTION EFFECT EQUATION OF EACH FACTOR BY SPECIAL

CUBIC MODEL

Implementatn of

Control Strategy

Patient Acceptability Score= +3.79A+3.19B+2.67C+2.57AB+4.73AC+1.94BC+15.05ABC

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DEVELOPMENT OF DESIGN SPACE

SWEETENER : FLAVOR : COLOR(Contd…)

QTPP

CQAs

ANALYSIS OF RESPONSES

DoE For

Definition of

Determination of

DESIGN OF EXPERIMMENTS

Responses (Effects) Y1 PATIENT ACCEPTANCE SCORE

Goal for Individual Responses To achieve maximum Patient Acceptance Score as maximum as possible out of 10. & NLT 4.5 out of 5.0

By Overlaying contour maps from each responses on top of each other, RSM was used to find out the IDEAL “WINDOW” of operability-Design Space per proven acceptable ranges & Edges of Failure with respect to ultimate goals

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Factors (Variables) A SWEETENER (%w/w) B FLAVOR (%w/w) C COLOR (%w/w)

Knowledge Space 1.00-1.50% 0.50-1.00% 0.00-0.50%

Design Space 1.10-1.35% 0.52-0.76% 0.05-0.25%

Control Space 1.15-1.30% 0.60-0.70% 0.10-0.20%

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

Definition of

PRESERVATIVE SYSTEM(Contd…)

QTPP

Optimization of

Preservative system for In use Stability of Multidose Liquid Orals

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

C

BUFFERING AGENT

B

ANTIOXIDANT

A

ANTIMICROBIAL

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

RISKS INADEQUATE ANTIMICROBIAL CONC.

INADEQUATE ANTIOXIDANT CONC

MICROBIAL LOAD

IN-USE OXIDATION IMPURITIES SAFETY COMPROMISED

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

Definition of

PRESERVATIVE SYSTEM(Contd…)

QTPP OBJECTIVE

To Optimize Preservative System for In Use Stability Of Multi-dose Sterile Product (Injection, Eye/Ear Drops)

Determination of

CQAs

Quality Risk Assessment of

PAT

&Development of Feedback Control system

A

Control Strategy

2

A B C

ADD. CENTER POINTS

3

TOTAL NO OF EXPERIMENTAL RUNS (NO OF TRIALS)

23 + 3 = 11

ANTIMICROBIAL

Factors (Variables) Implementatn of

NO. OF LEVELS

23 FULL FACTORIAL DESIGN WITH ADD. CENTER POINTS

BUFFERING AGENT

DoE

& Development of Design Space

3

EXPERIMENTAL DESIGN SELECTED

C

CMAs & CPPs

NO. OF FACTORS

Antimicrobial (%W/W) Antioxidant (%W/W) Buffering Agent (%W/W)

-1 0.005 0.050 0.800

Levels of Factors studied Center point (0) 0.010 0.100 1.400

+1 0.015 0.150 2.000

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs Definition of

QTPP

DESIGN OF EXPERIMMENTS

ANALYSIS OF RESPONSES

DEVELOPMENT OF DESIGN SPACE

DoE For

PRESERVATIVE SYSTEM(Contd…) CMAs

CQAs

Determination of

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

PREDICTION EFFECT EQUATION OF EACH FACTOR BY

Implementatn of

Control Strategy

LINEAR MODEL

REDUCTION in Microbial Load after 14 days =+99.42 +0.35A +0.075B +0.15C -0.050AB -0.075AC +0.025ABC OXIDIZED Impurities after 14 days=+0.46 -0.035A -0.18B -0.052C +7.50E-003AB +5.00E-003AC + 0.010BC -2.50E-003ABC

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF CMAs/CPPs

DESIGN OF EXPERIMMENTS

PRESERVATIVE SYSTEM(Contd…)

QTPP

CQAs

DEVELOPMENT OF DESIGN SPACE

DoE For

Definition of

Determination of

ANALYSIS OF RESPONSES

Responses (Effects) 5 Reduction in Microbial Load after 14D in use Y1 %Oxidized Impurities after 14D in use Y2

Goals for Individual Responses To achieve NLT 99.5% reduction in microbial load To minimize the level of oxidized impurities NMT 0.5%

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

Factors (Variables) A Antimicrobial (%W/W) B Antioxidant (%W/W) C Buffering Agent (%W/W)

Knowledge Space 0.005-0.015 0.050-0.150 0.800-2.000

Design Space 0.010-0.015 0.080-0.150 0.800-2.000

Control Space 0.012-0.015 0.100-0.150 1.000-1.500

© Created & Copyrighted by Shivang Chaudhary

Definition of

QTPP

Determination of

CQAs

How to Identify & Optimize CMAs & CPPs of Primary Packaging Process by Stability Studies?

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF PACK CQAs

DESIGN OF $TABILITY STUDY

ANALYSIS OF STABILITY DATA

DEFINING OF PACK CONTROLS

DEFINING OF PACK CONTROLS

PDbD

Definition of

PACKAGING DEVELOPMENT bY DESIGN

QTPP

SELECTION & OPTIMIZATION OF CMAs & CPPs OF

LIQUID ORAL PACKAGING PROCESS

Determination of

FOR LIQUID ORAL SUPENSION DOSAGE FORM DEVELOPMENT AS PER QbD

CQAs

Quality Risk Assessment of

CMAs & CPPs

DoE

& Development of Design Space

C

CAP

B

CAP LINER

A

LINER SEALING & CAPPING

F

POST-GASSING

E

BOTTLE FILLING

D

BOTTLE

RISKS PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

COMPROMISE IN MECHANICAL STRENGTH

COMPROMISE IN PHYSICAL BARRIER

COMPROMISE IN CHEMICAL COMPATABILITY

FAILURE IN BUBBLE TEST, VACUUM / PRESSURE DECAY

OOT / OOS IN WVTR, OTR, LTR OR MICROBIAL LOAD TESTS

OOS IN IMPURITY LIMITDURING SHELF LIFE

CHANCES OF DRUG PRODUCT INTEGRITY LOSS

PRODUCT EXPOSURE TO MOISTURE, OXYGEN, LIGHT, MICROORGANISMS

COMPROMISE IN DRUG PRODUCT SHELF LIFE

COMPROMISE IN QUALITY, SAFETY & EFFICACY © Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF PACK CQAs

DESIGN OF $TABILITY STUDY

ANALYSIS OF STABILITY DATA

VERIFICATION OF PACK CONTROLS

DEFINING OF PACK CONTROLS

PDbD

Definition of

PACKAGING DEVELOPMENT bY DESIGN (Contd)

QTPP

Available Options of Primary Packaging Material A

B

Plastic HDPE

C

Plastic PP

Plastic PET

Determination of

CQAs

PP CAP

PP CAP

PvDC Liner 75 gauge

Quality Risk Assessment of

CMAs & CPPs

PP CAP

PvDC Liner 75 gauge

Plastic HDPE Bottle

Plastic PP Bottle

D

Plastic PET Bottle

F

Glass USP IV

Glass USP II

Al CAP

Al CAP

DoE

PvDC Liner 75 gauge

PvDC Liner 75 gauge

PvDC Liner 75 gauge

& Development of Design Space

Glass USP II Bottle

Glass USP IV Bottle

PAT

&Development of Feedback Control system

G

Glass USP I

Al CAP PvDC Liner 75 gauge

Implementatn of

Control Strategy

Glass USP I Bottle

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF PACK CQAs

DESIGN OF $TABILITY STUDY

Selection of Primary Packaging Material Positive Control (Plastic HDPE)

Tests Determination of

CMAs & CPPs

DoE

& Development of Design Space

PAT

Barrier Properties Oxygen Permeation Water Vapor Permeation Resistance to Acids Resistance to Alkalis Resistance to Alcohols Resistance to Mineral oils Resistance to Solvents Resistance to Heat Resistance to Cold Resistance to Sunlight Resistance to High Humidity Processing / Storage Parameters Clarity / Translucency Toughness / Impact Resistance Autoclavable / Sterilizable Extractable / Leachable Weathering- Flaking –Alkalinity Breathing – Permeation – O2/CO2

Moderate Low Good Very Good Good Fair Good Good Fair Fair Excellent

Low Very Low Fair Good Good Good Fair Fair Good Fair Excellent

Very Low Very Low Fair Good Good Good Good Good Good Fair Excellent

Colorless, Translucent Good Yes Low Low High

Transparent, Clear Fair to Good Yes Low Low Moderate

Transparent, Clear Good Yes Moderate Moderate Low

Transparent, Clear Very Good Yes Moderate Moderate Low

None None Fair Very Poor Poor Fair Poor Good Good Fair Good

None None Excellent Excellent Excellent Excellent Excellent Excellent Excellent Fair Excellent

Translucent Fair Yes Very High Very High None

Negative Control (Glass USP Type I)

Optically Clear, Transparent Good Yes Low Low None

SELECTION CRITERIAS MECHANICAL STRENGTH

Control Strategy

Test Pack (For Selection of Packaging material with PVdC Cap liner & PP Cap) Plastic Plastic Plastic Glass O-PP A-PET C-PET USP Type IV

High Low Fair Good Good Fair Good Fair Excellent Fair Good

&Development of Feedback Control system

Implementatn of

DEFINING OF PACK CONTROLS

PACKAGING DEVELOPMENT bY DESIGN (Contd)

QTPP

Quality Risk Assessment of

VERIFICATION OF PACK CONTROLS

PDbD

Definition of

CQAs

ANALYSIS OF STABILITY DATA

-Strong enough to withstand handling -should fit in packaging line -long life

PHYSICAL BARRIER

CHEMICAL COMPATABILITY

BIOLOGICAL SAFETY

ECONOMICAL ACCEPTABLE

Protection from -heat & moisture -oxygen /any gas / vapor -UV / Visible light -microorganism

Does not react with -Product Contents -Packing Ingredients -not impart its color odor taste to drug product

Extract able/ Leachable Should be -absent / within limits -biological safe -nontoxic

Total Cost, Unit Price acceptable with comparable Advantages

© Created & Copyrighted by Shivang Chaudhary

IDENTIFICATION OF PACK CQAs

DESIGN OF $TABILITY STUDY

Comparative Accelerated Stability Study with different Packaging Material – Scale Up Batch Specification-CQAs (Acceptance Criteria)

Tests Determination of

CQAs Physical Description

DoE

& Development of Design Space

PAT

&Development of Feedback Control system

Implementatn of

Control Strategy

DEFINING OF PACK CONTROLS

PACKAGING DEVELOPMENT bY DESIGN (Contd)

QTPP

CMAs & CPPs

VERIFICATION OF PACK CONTROLS

PDbD

Definition of

Quality Risk Assessment of

ANALYSIS OF STABILITY DATA

Related Substance (Impurity) / HPLC

Assay (API) Assay (Antimicrobial) Assay (Antioxidant) pH of system Microbial Contents Viscosity Specific Gravity Extractable / Leachable Constituents 1Impurity

Clear, Transparent

Initial Analysis (0 Days)

40°±2°C /75±5%RH for 3 Months Positive Control (Plastic HDPE)

Test Pack (For Selection of Packaging material Negative for optimized formula with PVdC Cap liner & PP Cap) Control Plastic Plastic Plastic Glass (Glass PP A-PET C-PET USP Type IV USP Type I) Weathering Complies Complies Complies Complies Flaking 0.35 0.30 0.24 0.29 0.20 0.34 0.28 0.22 0.30 0.28 0.22 0.17 0.14 0.17 0.13 0.20 0.18 0.18 0.19 0.18 0.31 0.30 0.27 0.33 0.23 1.44 1.29 1.11 1.31 1.06

Complies

Complies

Imp A1: NMT 0.5% Imp B2: NMT 0.5% Imp C3: NMT 0.5% Imp D4: NMT 0.5% Max UNK:NMT 0.5% Total : NMT 3.0%

0.15 0.18 0.10 0.07 0.14 0.66

0.39 0.37 0.25 0.19 0.35 1.59

95% to 105%

98.8

96.7

97.1

97.6

98.1

97.5

98.4

90% to 110%

99.7

89.6

91.6

93.9

97.4

94.1

98.9

90% to 110%

98.6

84.4

90.5

92.3

96.5

96.1

97.8

6.5-7.5 Absent 40-50 cps 0.9-1.2 g/ml

7.1 Absent 46 cps 1.1 g/ml

6.8 Absent 44 cps 1.0 g/ml

6.6 Absent 44 cps 1.1 g/ml

6.9 Absent 42 cps 1.1 g/ml

7.1 Absent 42 cps 1.1 g/ml

7.2 Absent 45 cps 1.1 g/ml

Within Limits / Nontoxic-safe

Absent

Absent

Absent

DMT, EG

Absent

8.4 Absent 46 cps 1.1 g/ml Na2O, CaO, K2O, BaO, Al2O3, B2O3

generated due to oxidation

2Impurity

generated due to temperature effect

3Impurity

B2O3, Na2O (
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