This document discusses quality by design (QbD) principles and their application to pharmaceutical development and manufacturing. It outlines key QbD concepts like design space, risk assessment, control strategies and process analytical technology. It emphasizes developing a sufficient understanding of processes to describe relationships between critical quality attributes and process parameters. The goal is to establish a design space and control strategy to reliably achieve quality and performance over a product's lifecycle.
This document discusses the new quality paradigm in pharmaceuticals which emphasizes building quality in from the beginning through a systematic quality by design (QbD) approach. It outlines the key elements of QbD including establishing a quality target product profile, identifying critical quality attributes, understanding material attributes and process parameters that impact critical quality attributes through risk assessment, developing a design space, and implementing a control strategy. The new paradigm focuses on science-based approaches, quality risk management, robust quality systems, and an integrated approach across the product lifecycle between industry and regulators.
Quality-by-design(QbD) in pharmaceutical developmentSteffi Thomas
This document discusses Quality by Design (QbD), which is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding based on sound science. The key aspects of QbD include defining critical quality attributes, establishing a design space of input variables and process parameters to ensure quality, and implementing a control strategy. The goals of QbD are to ensure a predefined quality and quality with effective control through understanding how formulation and manufacturing variables influence product quality.
The benefits of applying the QbD principles in the pharmaceutical industry have been well advertised. Most important are the direct benefits to our primary customer; the patient. Per Janet Woodcock M.D. Director, Center for Drug Evaluation and Research (CDER), Food and Drug Administration “All products are designed and developed to be of high quality; QbD provides a structured framework for developing, documenting and presenting development rationale, experience and knowledge of the formulation and the process, and to ensure manufacture of products consistently fit for patient use.” Application of these principles can also benefit the pharmaceutical companies by improving manufacturing efficiency and promoting innovation. However, implementing these principles into the pharmaceutical development culture can be challenging. QbD involves a complex set of interactions, technologies and systems that are not easy to grasp. This presentation will explain the main principles behind a QbD approach and provide guidelines in how to implement the concepts into a pharmaceutical development organization.
This document discusses Quality by Design (QbD) in API manufacturing. It begins by quoting Joseph M. Juran that quality must be built in by design, not tested in. It then defines QbD as a systematic approach that emphasizes product and process understanding and control based on science and risk management. The document outlines some of the key aspects of QbD like design space, quality risk management, and using tools like design of experiments. It compares the traditional and QbD approaches and discusses some of the pros and cons of QbD.
The document discusses Quality by Design (QbD) guidelines from the International Council for Harmonisation (ICH). It describes the key parts of the ICH Q8 guidelines, including pharmaceutical development, quality target product profiles, critical quality attributes, risk assessment, design space, and control strategy. The guidelines provide a systematic approach to developing pharmaceutical products and processes based on sound science and quality risk management. Regulatory agencies support QbD as it can facilitate innovation and streamline product approval and changes.
1. Process analytical technology (PAT) aims to improve understanding and control of pharmaceutical manufacturing processes through measurement of critical quality parameters during processing.
2. Conventional batch processing relies on final testing of samples, which risks discarding good batches if samples fail tests. PAT allows for continuous monitoring and adjustment to ensure consistent quality throughout production.
3. Key aspects of PAT include incorporating advanced sensors and instruments for online and inline measurements of critical attributes, linking these measurements to product quality through multivariate models, and using the enhanced process understanding to design control strategies and quality into the process from the start.
Quality by design in pharmaceutical developmentSHUBHAMGWAGH
This document provides an overview of quality by design (QbD) in pharmaceutical development. It discusses the benefits of QbD including eliminating batch failures and ensuring a better designed product. The key aspects of QbD include establishing a quality target product profile, identifying critical quality attributes, performing a risk assessment, defining a design space, describing a control strategy, and enabling continuous improvement through life cycle management. QbD aims to build quality into the product design and manufacturing process through a systematic and scientific approach.
This document discusses the new quality paradigm in pharmaceuticals which emphasizes building quality in from the beginning through a systematic quality by design (QbD) approach. It outlines the key elements of QbD including establishing a quality target product profile, identifying critical quality attributes, understanding material attributes and process parameters that impact critical quality attributes through risk assessment, developing a design space, and implementing a control strategy. The new paradigm focuses on science-based approaches, quality risk management, robust quality systems, and an integrated approach across the product lifecycle between industry and regulators.
Quality-by-design(QbD) in pharmaceutical developmentSteffi Thomas
This document discusses Quality by Design (QbD), which is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding based on sound science. The key aspects of QbD include defining critical quality attributes, establishing a design space of input variables and process parameters to ensure quality, and implementing a control strategy. The goals of QbD are to ensure a predefined quality and quality with effective control through understanding how formulation and manufacturing variables influence product quality.
The benefits of applying the QbD principles in the pharmaceutical industry have been well advertised. Most important are the direct benefits to our primary customer; the patient. Per Janet Woodcock M.D. Director, Center for Drug Evaluation and Research (CDER), Food and Drug Administration “All products are designed and developed to be of high quality; QbD provides a structured framework for developing, documenting and presenting development rationale, experience and knowledge of the formulation and the process, and to ensure manufacture of products consistently fit for patient use.” Application of these principles can also benefit the pharmaceutical companies by improving manufacturing efficiency and promoting innovation. However, implementing these principles into the pharmaceutical development culture can be challenging. QbD involves a complex set of interactions, technologies and systems that are not easy to grasp. This presentation will explain the main principles behind a QbD approach and provide guidelines in how to implement the concepts into a pharmaceutical development organization.
This document discusses Quality by Design (QbD) in API manufacturing. It begins by quoting Joseph M. Juran that quality must be built in by design, not tested in. It then defines QbD as a systematic approach that emphasizes product and process understanding and control based on science and risk management. The document outlines some of the key aspects of QbD like design space, quality risk management, and using tools like design of experiments. It compares the traditional and QbD approaches and discusses some of the pros and cons of QbD.
The document discusses Quality by Design (QbD) guidelines from the International Council for Harmonisation (ICH). It describes the key parts of the ICH Q8 guidelines, including pharmaceutical development, quality target product profiles, critical quality attributes, risk assessment, design space, and control strategy. The guidelines provide a systematic approach to developing pharmaceutical products and processes based on sound science and quality risk management. Regulatory agencies support QbD as it can facilitate innovation and streamline product approval and changes.
1. Process analytical technology (PAT) aims to improve understanding and control of pharmaceutical manufacturing processes through measurement of critical quality parameters during processing.
2. Conventional batch processing relies on final testing of samples, which risks discarding good batches if samples fail tests. PAT allows for continuous monitoring and adjustment to ensure consistent quality throughout production.
3. Key aspects of PAT include incorporating advanced sensors and instruments for online and inline measurements of critical attributes, linking these measurements to product quality through multivariate models, and using the enhanced process understanding to design control strategies and quality into the process from the start.
Quality by design in pharmaceutical developmentSHUBHAMGWAGH
This document provides an overview of quality by design (QbD) in pharmaceutical development. It discusses the benefits of QbD including eliminating batch failures and ensuring a better designed product. The key aspects of QbD include establishing a quality target product profile, identifying critical quality attributes, performing a risk assessment, defining a design space, describing a control strategy, and enabling continuous improvement through life cycle management. QbD aims to build quality into the product design and manufacturing process through a systematic and scientific approach.
FMEA, DoE & PAT : Three Inseparable Organs of Quality Risk Management (QRM) B...Shivang Chaudhary
The document discusses quality risk management tools for pharmaceutical development including Failure Mode Effects Analysis (FMEA), Design of Experiments (DoE), and Process Analytical Technology (PAT). It provides an example of applying these tools to the development of a generic immediate release tablet. Key steps include:
1) Defining the Quality Target Product Profile (QTPP) and Critical Quality Attributes (CQAs)
2) Conducting a risk assessment of Critical Material Attributes (CMAs) and Critical Process Parameters (CPPs) using FMEA
3) Designing DoE experiments to evaluate the impact of CMAs and CPPs on CQAs
4) Developing a PAT system to continuously monitor
This document summarizes a research article about Quality by Design (QbD), a systematic approach to pharmaceutical development that emphasizes product and process understanding based on sound science and quality risk management. Some key points:
1) QbD aims to develop robust processes to consistently deliver quality products by understanding critical quality attributes and controlling variables throughout the product lifecycle.
2) International guidelines like ICH Q8, Q9, and Q10 provide a framework for QbD implementation and its benefits like reduced regulatory oversight and manufacturing flexibility.
3) The QbD approach involves defining a quality target product profile, identifying critical quality attributes, understanding material and process impacts through risk assessment, and implementing a control strategy within
1) The document presents an overview of Quality by Design (QbD) in pharmaceutical development. It defines QbD, compares the current and QbD approaches, and outlines the benefits, objectives, and elements of QbD.
2) The key elements of QbD discussed are defining objectives, determining critical quality attributes, risk assessment, experimental design, control strategy, and continuous improvement. Ishikawa and risk assessment methods are also summarized.
3) Implementing QbD provides quality medicines to patients, production improvements for manufacturers, and greater confidence for drug regulators by ensuring predefined product quality objectives.
This document provides an overview of quality by design (QbD) in the pharmaceutical industry. It defines QbD as a systematic approach to development that emphasizes product and process understanding based on sound science and quality risk management. The key elements of QbD include identifying critical quality attributes and critical process parameters. QbD aims to design pharmaceutical products and processes to consistently deliver quality and has benefits like reducing batch failures and costs for industry and ensuring consistent quality for consumers.
The key elements of QbD include establishing a quality target product profile, identifying critical quality attributes, performing risk assessments, defining a design space, implementing a control strategy, and enabling continual improvement. QbD helps ensure better designed products and manufacturing processes with fewer problems, satisfying patients' needs more effectively and efficiently. It aims to eliminate waste and reduce costs. While achieving full understanding and implementation of QbD remains an ongoing challenge, its adoption is expected to realize significant benefits for both industry and regulators.
FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part III in the series- deals with the concepts of critical material attributes, critical process parameters , their linage to the the critical Quality attributes of the Product and Quality Risk Management and its pivotal role in the QbD process.Concepts of control strategy are also discussed briefly.
This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide web.
Quality must be built into the product, it cannot be inspected into it. The Pharmaceutical industries are experiencing a “knowledge and experience deficit” regarding the use of QbD concepts.
The document discusses analytical quality by design (AQbD) and its implementation. It compares traditional analytical methods to AQbD methods. AQbD uses a systematic approach including risk assessment, design of experiments, and establishing a method operable design region. A case study demonstrates developing an HPLC method for assay using an AQbD approach including target measurement, design of experiment, method validation, and establishing a method operable design region. The conclusion states AQbD requires defining the right analytical target profile and using appropriate tools to ensure the right analytics are performed at the right time.
This document provides an overview of Quality by Design (QbD), a systematic approach to pharmaceutical development and manufacturing that emphasizes product and process understanding. It discusses key QbD concepts like critical quality attributes, design space, and control strategy. The document also outlines some advantages of QbD like improved quality, flexibility, and reduced regulatory oversight. Finally, it examines implications of QbD for various technical roles, including new skills needed and a shift towards more predictive and science-based approaches.
The document provides an overview of analytical quality by design (AQbD) and a case study on optimizing an HPLC method for quantification of an unknown impurity in a drug product. Key aspects included:
- Defining the analytical target profile (ATP) and critical quality attributes (CQA) for the method
- Conducting a qualitative risk assessment to identify critical method parameters using a prioritization matrix
- Performing a quantitative risk assessment using FMECA to calculate risk priority numbers and identify high, medium, and low risk factors
- Selecting experimental factors (column temperature, particle size, etc.), response variables (resolution, retention time), and constant factors for the design of experiments study.
FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part II in the series- deals with the concepts of Quality Target Product Profile and Critical Quality attributes.This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide web
Pharmaceutical QbD concepts for drug developmentGuru Balaji .S
The document discusses quality by design (QbD) in pharmaceutical development. It defines QbD as a systematic approach that begins with predefined objectives and emphasizes product and process understanding based on science and risk management. Under QbD, the desired product performance profile, target product quality attributes, and critical material attributes are defined to identify and control sources of variability. QbD provides increased flexibility while maintaining quality standards compared to traditional quality testing approaches. Key aspects of implementing QbD include knowledge management, risk management, designing controls based on scientific understanding, and continual improvement using knowledge gained over a product's lifecycle.
The document discusses key concepts in Quality by Design (QbD) for pharmaceutical product development including establishing a Quality Target Product Profile, identifying Critical Quality Attributes and linking them to Critical Material Attributes and Critical Process Parameters through Design of Experiments. It provides examples of establishing a design space for a tablet formulation through a multifactorial study of variables affecting dissolution and for a blending process through assessment of process parameters. The importance of developing a control strategy based on the design space to ensure final product quality is also highlighted.
The document discusses Quality by Design (QbD) principles for pharmaceutical development and manufacturing. It defines key QbD concepts like critical quality attributes, critical process parameters, target product profiles, and control strategies. It provides an example of applying QbD through a risk assessment of a drug product manufacturing process to identify high risks and optimize the process to reduce failures and ensure consistent quality. The conclusions emphasize that QbD is an essential modern approach that links product quality to the manufacturing process through critical attributes and parameters.
Quality by Design (QbD) is a systematic, holistic, and proactive approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding through sound science and quality risk management. It involves defining a Quality Target Product Profile (QTPP) and identifying Critical Quality Attributes (CQAs), then linking raw material attributes and manufacturing process parameters to the CQAs. This allows designing a control strategy and establishing a design space to ensure the output meets the QTPP. QbD focuses on continuous improvement throughout the product's lifecycle.
QBD Quality by design for Immediate release dosage formKushal Saha
Traditional approach of formulating a new drug product is an exhaustive task and involves a number of resources like man, money, time and experimental efforts. While, using this Quality by Design (QBD) approach one can get the pharmaceutical product of desired (best) quality with minimizing above resources as well as knowing the influence of one factor over the desired associated process. Hence aim of this study is the understanding of QBD approach to design product and manufacturing process to get desired pharmaceutical product. QBD follows the concepts of ICH guidelines (Q8, Q9 & Q10) which are essential for processing a pharmaceutical process. In this presentation we are going to focus upon QBD for immediate release dosage forms.
JPBA published-a platform aQbD approach for multiple methods developmentJianmei Kochling
The document describes a platform analytical quality by design (AQbD) approach for developing multiple UHPLC-UV and UHPLC-MS methods for protein analysis. The AQbD approach provides a systematic process for understanding method scientific principles and ensures method robustness is built in during development. The knowledge and understanding gained from developing one method (UHPLC-UV peptide mapping) can be transferred to developing two other methods (UHPLC-MS oxidation method and UHPLC-UV C-terminal heterogeneity method) for analyzing the same protein. Following the AQbD approach helps generate reliable analytical methods that can provide high quality data to support product development and help avoid unnecessary post-approval changes.
FMEA, DoE & PAT : Three Inseparable Organs of Quality Risk Management (QRM) B...Shivang Chaudhary
The document discusses quality risk management tools for pharmaceutical development including Failure Mode Effects Analysis (FMEA), Design of Experiments (DoE), and Process Analytical Technology (PAT). It provides an example of applying these tools to the development of a generic immediate release tablet. Key steps include:
1) Defining the Quality Target Product Profile (QTPP) and Critical Quality Attributes (CQAs)
2) Conducting a risk assessment of Critical Material Attributes (CMAs) and Critical Process Parameters (CPPs) using FMEA
3) Designing DoE experiments to evaluate the impact of CMAs and CPPs on CQAs
4) Developing a PAT system to continuously monitor
This document summarizes a research article about Quality by Design (QbD), a systematic approach to pharmaceutical development that emphasizes product and process understanding based on sound science and quality risk management. Some key points:
1) QbD aims to develop robust processes to consistently deliver quality products by understanding critical quality attributes and controlling variables throughout the product lifecycle.
2) International guidelines like ICH Q8, Q9, and Q10 provide a framework for QbD implementation and its benefits like reduced regulatory oversight and manufacturing flexibility.
3) The QbD approach involves defining a quality target product profile, identifying critical quality attributes, understanding material and process impacts through risk assessment, and implementing a control strategy within
1) The document presents an overview of Quality by Design (QbD) in pharmaceutical development. It defines QbD, compares the current and QbD approaches, and outlines the benefits, objectives, and elements of QbD.
2) The key elements of QbD discussed are defining objectives, determining critical quality attributes, risk assessment, experimental design, control strategy, and continuous improvement. Ishikawa and risk assessment methods are also summarized.
3) Implementing QbD provides quality medicines to patients, production improvements for manufacturers, and greater confidence for drug regulators by ensuring predefined product quality objectives.
This document provides an overview of quality by design (QbD) in the pharmaceutical industry. It defines QbD as a systematic approach to development that emphasizes product and process understanding based on sound science and quality risk management. The key elements of QbD include identifying critical quality attributes and critical process parameters. QbD aims to design pharmaceutical products and processes to consistently deliver quality and has benefits like reducing batch failures and costs for industry and ensuring consistent quality for consumers.
The key elements of QbD include establishing a quality target product profile, identifying critical quality attributes, performing risk assessments, defining a design space, implementing a control strategy, and enabling continual improvement. QbD helps ensure better designed products and manufacturing processes with fewer problems, satisfying patients' needs more effectively and efficiently. It aims to eliminate waste and reduce costs. While achieving full understanding and implementation of QbD remains an ongoing challenge, its adoption is expected to realize significant benefits for both industry and regulators.
FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part III in the series- deals with the concepts of critical material attributes, critical process parameters , their linage to the the critical Quality attributes of the Product and Quality Risk Management and its pivotal role in the QbD process.Concepts of control strategy are also discussed briefly.
This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide web.
Quality must be built into the product, it cannot be inspected into it. The Pharmaceutical industries are experiencing a “knowledge and experience deficit” regarding the use of QbD concepts.
The document discusses analytical quality by design (AQbD) and its implementation. It compares traditional analytical methods to AQbD methods. AQbD uses a systematic approach including risk assessment, design of experiments, and establishing a method operable design region. A case study demonstrates developing an HPLC method for assay using an AQbD approach including target measurement, design of experiment, method validation, and establishing a method operable design region. The conclusion states AQbD requires defining the right analytical target profile and using appropriate tools to ensure the right analytics are performed at the right time.
This document provides an overview of Quality by Design (QbD), a systematic approach to pharmaceutical development and manufacturing that emphasizes product and process understanding. It discusses key QbD concepts like critical quality attributes, design space, and control strategy. The document also outlines some advantages of QbD like improved quality, flexibility, and reduced regulatory oversight. Finally, it examines implications of QbD for various technical roles, including new skills needed and a shift towards more predictive and science-based approaches.
The document provides an overview of analytical quality by design (AQbD) and a case study on optimizing an HPLC method for quantification of an unknown impurity in a drug product. Key aspects included:
- Defining the analytical target profile (ATP) and critical quality attributes (CQA) for the method
- Conducting a qualitative risk assessment to identify critical method parameters using a prioritization matrix
- Performing a quantitative risk assessment using FMECA to calculate risk priority numbers and identify high, medium, and low risk factors
- Selecting experimental factors (column temperature, particle size, etc.), response variables (resolution, retention time), and constant factors for the design of experiments study.
FDA’s emphasis on quality by design began with the recognition that increased testing does not improve product quality (this has long been recognized in other industries).In order for quality to increase, it must be built into the product. To do this requires understanding how formulation and manufacturing process variables influence product quality.Quality by Design (QbD) is a systematic approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management.
This presentation - Part II in the series- deals with the concepts of Quality Target Product Profile and Critical Quality attributes.This presentation was compiled from material freely available from FDA , ICH , EMEA and other free resources on the world wide web
Pharmaceutical QbD concepts for drug developmentGuru Balaji .S
The document discusses quality by design (QbD) in pharmaceutical development. It defines QbD as a systematic approach that begins with predefined objectives and emphasizes product and process understanding based on science and risk management. Under QbD, the desired product performance profile, target product quality attributes, and critical material attributes are defined to identify and control sources of variability. QbD provides increased flexibility while maintaining quality standards compared to traditional quality testing approaches. Key aspects of implementing QbD include knowledge management, risk management, designing controls based on scientific understanding, and continual improvement using knowledge gained over a product's lifecycle.
The document discusses key concepts in Quality by Design (QbD) for pharmaceutical product development including establishing a Quality Target Product Profile, identifying Critical Quality Attributes and linking them to Critical Material Attributes and Critical Process Parameters through Design of Experiments. It provides examples of establishing a design space for a tablet formulation through a multifactorial study of variables affecting dissolution and for a blending process through assessment of process parameters. The importance of developing a control strategy based on the design space to ensure final product quality is also highlighted.
The document discusses Quality by Design (QbD) principles for pharmaceutical development and manufacturing. It defines key QbD concepts like critical quality attributes, critical process parameters, target product profiles, and control strategies. It provides an example of applying QbD through a risk assessment of a drug product manufacturing process to identify high risks and optimize the process to reduce failures and ensure consistent quality. The conclusions emphasize that QbD is an essential modern approach that links product quality to the manufacturing process through critical attributes and parameters.
Quality by Design (QbD) is a systematic, holistic, and proactive approach to pharmaceutical development that begins with predefined objectives and emphasizes product and process understanding through sound science and quality risk management. It involves defining a Quality Target Product Profile (QTPP) and identifying Critical Quality Attributes (CQAs), then linking raw material attributes and manufacturing process parameters to the CQAs. This allows designing a control strategy and establishing a design space to ensure the output meets the QTPP. QbD focuses on continuous improvement throughout the product's lifecycle.
QBD Quality by design for Immediate release dosage formKushal Saha
Traditional approach of formulating a new drug product is an exhaustive task and involves a number of resources like man, money, time and experimental efforts. While, using this Quality by Design (QBD) approach one can get the pharmaceutical product of desired (best) quality with minimizing above resources as well as knowing the influence of one factor over the desired associated process. Hence aim of this study is the understanding of QBD approach to design product and manufacturing process to get desired pharmaceutical product. QBD follows the concepts of ICH guidelines (Q8, Q9 & Q10) which are essential for processing a pharmaceutical process. In this presentation we are going to focus upon QBD for immediate release dosage forms.
JPBA published-a platform aQbD approach for multiple methods developmentJianmei Kochling
The document describes a platform analytical quality by design (AQbD) approach for developing multiple UHPLC-UV and UHPLC-MS methods for protein analysis. The AQbD approach provides a systematic process for understanding method scientific principles and ensures method robustness is built in during development. The knowledge and understanding gained from developing one method (UHPLC-UV peptide mapping) can be transferred to developing two other methods (UHPLC-MS oxidation method and UHPLC-UV C-terminal heterogeneity method) for analyzing the same protein. Following the AQbD approach helps generate reliable analytical methods that can provide high quality data to support product development and help avoid unnecessary post-approval changes.
Jay Henderson is a trade qualified diesel fitter with experience in the shipping, marine, and defense industries. He has over 10 years of experience as a diesel fitter including his current role at Cummins South Pacific. He has qualifications in diesel fitting, small business management, and various health and safety certificates. He is skilled in engine repair, maintenance, and diagnostics. He has achieved engine rebuilds on time and holds leadership roles in his military service as a patrol commander in the Army Reserve.
1. A document lists the names of 10 students and their corresponding numbers from 1 to 10 in two columns for the month of January 2015.
2. The student names are listed in order from Mohd Ashraff Bin Kamarul in the first row to Nur Ain Amalina Binti Faridzuan in the tenth row.
3. The dates from the 1st to the 31st of January 2015 are listed at the top of the two columns.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help enhance one's emotional well-being and mental clarity.
This document discusses the weather patterns of the Northwest and Southwest states. The Northwest states include Idaho, Montana, Oregon, Washington and Wyoming. These states experience cool and wet weather along the coastal regions in January, while inland areas are cooler and drier. In July, the Northwest is warm and dry, with coastal areas cooler than inland due to the moderating influence of the Pacific Ocean. The Southwest states covered are Arizona, California, Colorado, Nevada, New Mexico and Utah. These states experience mild and dry weather in January, with higher elevations colder and snowier. In July, the Southwest is warm and dry, with the hottest temperatures over deserts, while coastal areas are cooler due to winds from the Pacific Ocean.
Dissolution considerations for novel immediate release formulationsstudent
1. Dissolution testing is an important test for assessing the in vivo performance of immediate release dosage forms. It can be used for quality control as well as predicting in vivo drug release.
2. The choice of dissolution medium depends on the Biopharmaceutics Classification System class of the drug. Simple media like SGF can be used for Class 1 drugs while biorelevant media like FaSSIF and FeSSIF are needed for Class 2 drugs.
3. Factors like drug solubility, permeability, dosage form properties and test conditions need to be considered when designing a dissolution test in order to obtain a discriminating and meaningful test.
The document discusses the Quality by Design (QbD) approach to pharmaceutical development according to ICH Q8 Annex. It outlines the key steps in QbD, including defining target product profiles, critical quality attributes, risk assessment, design space, control strategy, and continual improvement. QbD emphasizes developing a systematic understanding of products and processes based on science and risk management to ensure quality.
Neeraj Kumar is a Java developer with over 3 years of experience working on projects involving technologies like Java, Spring MVC, Hibernate, MySQL, and more. He is seeking a position as a software developer and has worked on projects including a sales management system, media scanning application, and learning management system.
The document discusses Quality by Design (QbD), a systematic approach to pharmaceutical development that emphasizes product and process understanding based on sound science. Some key points:
- QbD aims to build quality into products from the design stage to reduce testing and variability. Critical quality attributes, materials, and process parameters are identified.
- A design space defines the multidimensional operating conditions that maintain quality. Processes are in control if they stay within the design space.
- QbD benefits include reduced development time, lower costs, improved troubleshooting and flexibility for changes compared to traditional quality testing approaches.
In-Vitro-In-Vivo Correlation and ApplicationsRameshwar Dass
This document discusses in-vitro in-vivo correlation (IVIVC), which relates an in-vitro property like dissolution to an in-vivo response. It defines IVIVC and outlines its importance for predicting bioavailability changes and minimizing human testing. The document describes parameters and methods used to generate correlation data, including different levels of IVIVC and approaches to modeling the in-vitro and in-vivo release profiles. It also addresses applications like biowaivers and setting dissolution specifications, as well as challenges in reliably establishing IVIVC models.
Quality by-Design (QbD) by Mr. Nitin Kadam.Nitin Kadam
QbD is a systematic approach to pharmaceutical development that emphasizes product and process understanding based on sound science and quality risk management. A QbD-based ANDA should include a demonstration of process understanding through identification of critical process parameters and a control strategy to ensure the product reliably meets predefined objectives. Key aspects of QbD include defining quality target product profiles, identifying critical quality attributes and risks, design of experiments for optimization, and establishing a design space and control strategy.
The CMC Journey in the Regulation of Biologicsenarke
Journey in the Development of Biologics Through End of Phase 3
Our Goals
To better understand the FDA’s CMC requirements and expectations for biologic manufacturing and product testing
To better visualize a cost-effective, risk-managed approach to manage these manufacturing processes and products through clinical development into market approval
To better appreciate the challenges involved with controlling safety, potency, and impurity profiles for these products
Edward Narke discussed the CMC pathway for biologics through clinical development and market approval. The goals are to better understand FDA requirements, visualize a cost-effective approach to manage manufacturing processes, and appreciate challenges in controlling safety, potency, and impurities. Biologics have complex structures that must be characterized and controlled. Assay methods, product specifications, stability data, and comparability between clinical and commercial materials are common reasons INDs are placed on clinical hold. Managing impurities, developing relevant potency assays, and collecting data continuously are important strategies to address these challenges over the course of development.
The document provides an overview of requirements for an Investigational New Drug (IND) application to the FDA. It discusses key components of the IND including chemistry, manufacturing and controls (CMC), preclinical toxicology studies, and clinical trial protocols. The main points are:
1) An IND application is required to begin clinical testing of new drugs, drugs at new dosages, or drug combinations not previously approved.
2) Key sections of the IND include CMC data on drug manufacturing and quality controls, results of preclinical toxicology studies in animals, and protocols for proposed clinical trials.
3) Preclinical studies aim to identify safe starting doses for clinical trials and target organs of toxicity.
DEFINITION,PRINCIPLE, OBJECTIVES, ELEMENTS AND TOOLS OF QUALITY BY DESIGN (Qb...Durgadevi Ganesan
Quality by Design is a concept first outlined by Joseph M. Juran in various publications. He supposed that quality could be planned. The concept of QBD was mention in ICH Q8 guidelines, which states that, “To identify quality can not be tested in products, i.e. Quality should be built in to product by design.”
What is Quality by Design (QbD)?
Quality by Design (QbD) is a strategic approach employed in various industries, including pharmaceuticals, manufacturing, and product development, to ensure the consistent delivery of high-quality products.
Why QbD?
Principle of QbD
Objectives of QbD
ELEMENTS OF PHARMACEUTICAL QUALITY BY DESIGN:
- Quality Target Product Profile
- Critical Quality Attributes
- Product Design and Understanding
- Process Design and Understanding
- Process Design and Understanding
- Design space
- Control Strategy
- Continual Improvement
DESIGN TOOLS
- Prior Knowledge
- Risk Assessment
- Mechanistic Model, Design of Experiments, and Data Analysis
- Process Analytical Technology
This document discusses process changes that may occur over the lifecycle of a drug development process. It defines types of process changes and outlines steps for assessing and implementing changes. These include forming cross-functional teams, using risk analysis tools like FMEA to evaluate impacts, and process analytical technologies to increase understanding and control of critical parameters. The goal is to reduce the frequency of changes by investing in characterization, setting realistic specifications, and combining changes when possible. Case studies of what can go wrong are also presented.
Quality-by-Design In Pharmaceutical DevelopmentPrabhjot kaur
Quality-by-Design In Pharmaceutical Development: Introduction, ICH Q8 guideline, Regulatory and industry views on QbD, Scientifically based QbD - examples of application. M. Pharmacy 2nd Semester (Computer aided drug delivery system)
This presentation provides an overview of Quality by Design (QbD), a systematic approach to pharmaceutical development that begins with predefined product quality objectives. The key aspects of QbD include establishing a Target Product Profile, identifying Critical Quality Attributes, determining material attributes and critical process parameters linked to Critical Quality Attributes, defining a design space, establishing a control strategy, and conducting risk assessments. QbD aims to ensure final drug product quality through understanding manufacturing processes and controls.
quality by design concepts and approach by shubham biyaniShubham Biyani
This document provides an overview of quality by design (QbD) in pharmaceutical development. QbD is a systematic approach that emphasizes product and process understanding based on sound science. The key aspects of a QbD approach include establishing a target product quality profile, identifying critical quality attributes, understanding how material attributes and process parameters impact critical quality attributes, defining a design space, and establishing a control strategy. A QbD approach helps ensure product quality through effective process control and risk management.
The document discusses key concepts of Pharmaceutical Quality by Design (QbD), including defining a quality target product profile, identifying critical quality attributes, understanding the product and manufacturing process through tools like risk assessment and design of experiments, establishing a design space and control strategy, and enabling continual improvement. The goals of QbD are to enhance robustness and control of the manufacturing process to reliably deliver the desired product quality and performance.
This document discusses analytical solutions for assessing the biosimilarity of a potential biosimilar to OPDIVO (nivolumab). It provides a pre-developed analytical master file containing preliminary critical quality attributes of OPDIVO, analytical methodologies to test these attributes, and preliminary reference data using OPDIVO. This master file can help support biosimilar development and provide a head start in assessing biosimilarity compared to de novo development. A comprehensive testing strategy is proposed to thoroughly characterize the biosimilar candidate and establish its biosimilarity to OPDIVO.
The document summarizes ICH Q8 guidelines for pharmaceutical product development using a Quality by Design (QbD) approach. It discusses key QbD concepts like quality target product profiles, critical quality attributes, critical process parameters, and design space. The guidelines suggest determining aspects of drug substances, excipients, manufacturing processes, and container closure systems that are critical to quality. They provide guidance on contents for drug product development documentation, including formulation development, compatibility studies, container closure selection, and ensuring microbiological attributes and stability. The QbD approach aims to build quality into pharmaceutical products from the design stage through understanding and control of material and process variables.
Following post approval changes, all oral products including control release (CR) ones need to be assured of batch to batch consistency of quality as well as consistency of in-vivo release and in turn of clinical performance. Product assay and dissolution do not have mechanistic and statistical properties to be able to predict clinical performance of a batch of a CR product. In-vitro-in-vivo correlations (IVIVC), however, are the predictive, mathematical models relating an in vitro property such as dissolution and an in vivo response, e.g., amount of drug absorbed, thus allowing an evaluation of the QC specifications, change in process, site, formulation and application for a biowaiver etc.
Biopharmaceutics Classification System (BCS) offers an easy but non-robust IVIVC such that the drugs of high permeability and high or low solubility drugs (Class I and II) are expected and indeed show different levels of reliable correlation. Owing to their high absorption numbers and rate limiting dissolution these drugs exhibit IVIVC. Classes III and IV rarely show such correlation. Deconvolution and convolution are mathematical modeling methods based on compartmental mass balance and non-compartmental superposition, respectively. If assumptions are upheld, these methods also give very reliable IVIVC. Illustrative examples will be given in the presentation.
A review of biorelevant dissolution testing, in vivo study design and the predictability of IVIVC model will be presented. Examples of CR products showing IVIVC and their actual applications will be described with human and animal data. Finally, prediction error for relevant pharmacokinetic parameters will be discussed.
This document discusses in-vitro-in-vivo correlations (IVIVC) for oral controlled release products. It covers the relevance and definition of IVIVC, levels of IVIVC, methods for generating in-vitro and in-vivo release profiles, predictability of IVIVC models, and issues related to IVIVC modeling. The key points are that biorelevant dissolution testing can predict in vivo absorption if IVIVC is established, several mathematical models can be used to estimate in vivo release profiles, and IVIVC is useful for quality control but has practical and modeling challenges that must be addressed.
Biodextris specializes in providing analytical development, process development, and quality control testing services for vaccines and biologics in clinical development. Comprised of experienced scientists located in Laval, Quebec, the group has worked together since 2002 developing numerous vaccine and biologic products. They offer a range of analytical, biophysical, physiochemical, immunological, and microbial characterization assays to support product development. Biodextris also provides process development, formulation, biomanufacturing, technology transfer, project management, and regulatory consulting services.
This document provides an overview of Quality by Design (QBD), a systematic approach for developing quality pharmaceutical products. It discusses key QBD elements like quality target product profiles, critical quality attributes, critical material attributes, risk assessment, design space, and control strategy. The document also outlines tools used in QBD like design of experiments and process analytical technology. It highlights advantages of QBD such as improved product quality assurance and opportunities for continual improvement. Finally, it discusses various applications of QBD in areas like chromatography, spectroscopy, biopharmaceuticals, and more.
This document discusses biowaivers, which allow regulatory approval of generic drugs based on evidence of equivalence other than bioequivalence testing. It provides examples of drug products that may be eligible for biowaivers, including immediate and extended release solid oral drugs, topical products, and inhalation products. The key principles for biowaivers include the Biopharmaceutics Classification System, in vitro-in vivo correlation, dissolution profile similarity, quality by design, and in vitro release profiles. Guidance documents from FDA and WHO provide criteria for classifying drug products and assessing biowaiver eligibility.
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Qbd
1. Dissolution Testing and Isothermal
Microcalorimetry in QbD
Outline
O li
• Quality by Design
Q y y g
• Product lifecycle
• Biowaivers
• Process knowledge
Process knowledge
• Predictive Model
• Conclusions
2. Quality by Design
Product Quality Implementation Lifecycle Initiative (PQLI)
• Quality by Design is a systematic approach to
development that begins with predefined objectives
development that begins with predefined objectives
and emphasizes product and process understanding
based on sound science and quality risk
based on sound science and quality risk
management.
– ICH Q8 Pharmaceutical Development
ICH Q8 Ph ti l D l t
– ICH Q9 Quality Risk Management
– ICH Q10 Quality Systems
ICH Q10 Q li S
– FDA Pharmaceutical cGMPs for the 21st Century ‐ A Risk‐
Based Approach. Final Report
Based Approach Final Report
3/2/2010 2
3. Design Space: ICH Q8
Design Space: ICH Q8
• Multi‐dimensional space that
encompasses combinations of
product design, manufacturing
product design, manufacturing
process design, manufacturing
process parameters and raw
process parameters and raw
material quality that provide
assurance of suitable quality and
performance
4. Key Elements of QbD
Key Elements of QbD
• D fi d i
Define design space
– Properties
• Risk assessment
Risk assessment
– Critical vs. Non‐Critical Parmeters
• Control strategy
Control strategy
– Key raw material and excipient properties
– Key processing parameters
• Set points
• Processing times
– Process Analytical Technology (PAT)
Process Analytical Technology (PAT)
– Product testing requirements.
5. Design Space (PQLI)
Design Space (PQLI)
• Integration of prior knowledge
• Creation of a design space is to
develop sufficient process
d l ffi i
understanding to describe the
functional relationships
between Process Parameters
between Process Parameters
and Critical Quality Attributes.
6. Design Space (PQLI)
Design Space (PQLI)
• The functional relationships between Process
Parameters and CQAs are best described with
a predictive model based upon sound
scientific principles, simulations, or
scientific principles simulations or
experimentation.
7. A Process is well understood when…
• All critical sources of variability are
identified and explained;
identified and explained;
• Variability is managed by the process; and,
• Product quality attributes can be
Product quality attributes can be
accurately and reliably predicted over the
design space
• An ability of continuous improvements
• “Real Time" assurance of quality
CONTROL SPACE
8. Evaluating Variability
Evaluating Variability
• Utilize Process
l
capability analysis –
reduce/control
/
“common cause”
variability
p
• Develop effective
Corrective Action and
Preventive Action will
Preventive Action will
eliminate “special
cause variability
cause” variability
9. Risk Assessment in QbD
Risk Assessment in QbD
• Probability – the likelihood of a consequence.
• Severity – the magnitude of the impact of a
the magnitude of the impact of a
consequence.
• Detectability – the level or ability at which a
bili h l l bili hi h
consequence can be measured.
• Sensitivity – the attenuation of interactions
between multivariate dimensions.
between multivariate dimensions
11. The Six Things to Remember
The Six Things to Remember
• We know….
• We want to know…
• We learned …..
We learned
• We control …….
• We understand, agree & approve & revise
• We monitor and release!!!
W it d l !!!
12. Product Lifecycle Challenge
P d Lif l Ch ll
Time 5‐12 years 1‐2 years 20‐ 50 years
Product SUPAC / QbD
NDA
Development
Career
Career
Cycle
Basic
Basic Medical Regulatory
Science Science Science
13. Regulatory Lifecycle of a Product
Regulatory Lifecycle of a Product
What do I have to do when a change is necessary?
• SUPAC 1995
SUPAC 1995
– ingredients, equipment – dissolution test as surrogate
– Scale‐Up and Postapproval Changes: Chemistry, Manufacturing, and Controls, In Vitro
Dissolution Testing, and In Vivo Bioequivalence Documentation
• IVIVC 1997 ER
– Modeling and dissolution as surrogate using a level A correlation
– Extended Release Oral Dosage Forms: Development, Evaluation, and Application of In
Vitro/In Vivo Correlations
• Biowaiver 2000
– Drug classification as surrogate
Drug classification as surrogate
– Waiver of in vivo bio‐equivalence studies for immediate release solid oral dosage forms
containing certain active moieties/active ingredients based on a Biopharmaceutics
Classification System”
y
3/2/2010 13
14. Biowaiver Today
y
BCS Classification
BCS Classification
BCS class 1
Oral Dosage Forms
Level A correlations based on:
1) Deconvolution methods
2) Convolution methods
Bio‐
SUPAC
waiver
3/2/2010 14
15. Biowaiver Tomorrow
BCS class 1 and Extensions to
BCS Classification class 3 and certain class 2 Acids
CQA:
Particle size QbD
Surface area Design Space Biowaiver
Dissolution profile
p
Predictive Model
Predictive Model
Clinical Observations
Therapeutic outcome
3/2/2010 15
16. Example for an predictive model
In vitro/in vivo Correlation
USP: the establishment of a rational relationship between a
USP: “the establishment of a rational relationship between a
biological property, or a parameter derived from a biological
property produced by a dosage form, and a physicochemical
property of characteristic of the same dosage form” (USP 29)
( )
FDA defines IVIVC as “A predictive mathematical model describing
the relationship between an in vitro property of a dosage form
the relationship between an in vitro property of a dosage form
(usually the rate and extent of drug dissolution or release) and a
relevant in vivo response, e.g., plasma drug concentration or
amount of drug absorbed” (FDA September 1997)
17. Deconvolution based IVIVC methods
Deconvolution‐based IVIVC methods
• These methods are
two‐stage modeling
two stage modeling
procedures
• In the first stage, a deconvolution
I h fi d l i
method is used to estimate the time
course of in‐vivo absorption (fraction
absorbed fabs vs. time t).
• In the second stage, the in‐vivo
absorption (or release) time profile
obtained in this first stage is plotted
vs. the time course of the in vitro
vs. the time course of the in‐vitro
dissolution profile.
• Usually a point‐to‐point relationship is
established between the in‐vivo and
in‐vitro parameters of the same time
in vitro parameters of the same time
point (e.g., in‐vivo fraction absorbed Journal of Controlled Release 72 (2001) 127–132
fabs vs in‐vitro fraction dissolved fdis); Regulatory perspectives on in vitro (dissolution) /
• Linear or sigmoidal curves in vivo (bioavailability) correlations
Venkata Ramana S. Uppoor
18. Convolution‐based IVIVC methods
Convolution based IVIVC methods
• Convolution‐based IVIVC methods are one‐
Convolution based IVIVC methods are one
stage modeling approaches, and they directly
relate the time course of the in‐vivo measured
relate the time course of the in vivo measured
plasma concentration to the time profile of
the in‐vitro dissolution.
h i i di l i
• integral or differential equations
g q
Gillespie 1997; Modi et al 2000; Veng‐
Pedersen et al 2000; Balan et al 2001;
Pedersen et al 2000; Balan et al 2001;
O’Hara et al 2001; Pitsiu et al 2001;
Gomeni et al 2002
19. GastroPlus Software
GastroPlus Software
• Ph i h i l
Physicochemical
Data as Input
• Dissolution Data
as Input
• Permeability
20. Dynamic Dissolution of a Lipophilic
Drug
• pKa = 2.8 and 5.7 Basic and Acetic
pKa = 2 8 and 5 7 Basic and Acetic
• logP = 7.01, highly lipophilic
• >99% bound to plasma proteins
• Oral bioavailability variable 58‐70%
(Cheng, et al 1996)
21. Solubility in Blank Buffers
Solubility in Blank Buffers
0.4
0.3
Solubility mg/mL
0.240
m
0.2
0.1
0.002 0.010 0.007 0.011
0.00018
0
U -SG
SP F SGF-SLS pH AC T Buff.
E Buff Blank- Blank- Blank-
pH-1.2 2.0 pH 4.0 FeSSIF pH FaSSIF pH FaSSIF pH
5.0 6.5 7.5
Media and pH
22. Solubility in Biorelevant media.
Solubility in Biorelevant media
5.9
4.690
4.9
olubility mg/mL
3.9 Blanks 3.370
m
Low Quality
2.9
High Quality
1.9
So
0.9
0.205
0.01 0.030 0.01
0 5 0.007 0.020 0.011
-0.1
01
5.0 6.5 7.5
Media and pH
23. Dose/Solubility Ratio
Dose (mg)
4 10
Solubility
pH (mg/mL) Dose/solubility ratio
SGF (without
enzymes) 1.2 0.00018 27777.8 55555.6
SGF-0.25% SLS 2.0 0.240 16.7 41.7
Acetate Buffer 4.1 0.002 2500.0 5000.0
LQ-FeSSIF 5.0 0.030 133.3 333.3
HQ-FeSSIF
HQ F SSIF 5.0
50 0.015
0 015 266.7
266 7 666.7
666 7
LQ-FaSSIF 6.5 0.020 200.0 500.0
HQ FaSSIF
HQ-FaSSIF 6.5 0.205 19.5 48.8
LQ-FaSSIF 7.5 3.370 1.2 3.0
HQ-FaSSIF 7.5 4.690 0.9 2.1
According to BCS, this drug is a poorly soluble drug
24. Dissolution Profiles
100
80
60
% Dissolved
d
0.25% SLS-H2O FaSSIF-500 mL-100 RPM(n=3)
40
FaSSIF-900 mL-75 RPM(n=3) FaSSIF-500 mL-75 RPM(n=6)
USP-SIF pH 6.8 (n=3) USP-Phos. Buff pH 6.8 (n==3)
20 Blank FaSSIF (n=3) Flow Through Cell
0
0 40 80 120 160 200 240
Tim (m
e in)
1. Fast and complete dissolution in 10 min H2O-0.25% SLS.
O 0.25%
2. Incomplete dissolution in biorelevant media (89, 77 and 69%) in
FaSSIF 500-100 RPM, FaSSIF-900 & FaSSIF-500-75 RPM
3. SIF and Phosphate buffer <10%, and insignificant in blank FaSSIF
p , g
4. Insignificant difference between 500 and 900 mL at 75 RPM
3/2/2010 24
25. Dynamic Dissolution
y
pH=2 pH=6.5 pH=7.5 pH=5.0
100
80
ved
% Dissolv
60
40
20
0
0 30 60 90 Time (min)
120 150 180 210 240
Dissolution rate relatively fast in SGF‐SLS, slows down at pH 6.5, then
increases when pH is Changed to 7.5
increases when pH is Changed to 7 5
26. Simulations Results
0.8
0.6
mL)
Observed
ma Conc(ug/m
0.4
0.2
Plasm
0
0 4 8 12 16 20 24
Time(h)
1.
1 AUC ffrom Flow through, FaSSIF-500 mL-100 RPM, FaSSIF-
Fl th h F SSIF 500 L 100 RPM F SSIF
900 ml, 75 RPM and H2O-0.25% SLS are not significantly
different from observed mean value (p>0.05)
2.
2 Cmax from H2O-0 25% SLS is significantly different from
H2O-0.25%
observed mean value (p<0.05
27. Prediction error statistics
Observed values AUC=3.552 μg.h/mL Cmax =0.4796 μg/mL
Predicted Values AUC Cmax
AUC Cmax
Media (ug.h/mL)
(ug h/mL) (ug/mL) %PE %PE
Flow through cells 3.52 0.567 1.0+ 18.2*
FaSSIF-500 mL-100
RPM 3.49
3 49 0.535
0 535 1 7+
1.7 11.6*
11 6*
FaSSIF-900 mL-75 RPM 3.31 0.462 6.9+ 3.6+
FaSSIF-500 mL-75 RPM 2.68 0.426 24.5+ 11.2+
USP-SIF 0.64 0.061 81.9+ 87.3+
H2O-0.25% SLS 3.54 0.803 0.4* 67.4+
Flow thru-No FPE 5.67 0.913 59.6* 90.3*
*means %Higher and + means %Lower than mean observed value
means %Higher, and + means %Lower than mean observed
28. Example Conclusions
p
• Simulations showed that the drug is
Simulations showed that the drug is
completely absorbed and throughout the
GIT.
GIT
• Its bioavailability appears to be dissolution
rate controlled.
• Level A IVIVC can best be established using
Level A IVIVC can best be established using
the flow through cell dissolution
• The drug appears to be a BCS class 2 drug.
29. Oral Dosage Forms
Formulation
Does the change
formulation
impact
NO dissolution
rate
YES
Why did you do it?
Is
YES Dissolution
slower than
slower than
absorption
Behavior
like a IVIVR
NO
Controlled
Release
Does the YES
Dosage form Scale Factor Computer
formulation impact
Dissolution permeability
Simulations
Controlled
IVIVC
Established NO Unlikely to Establish a
R l i hi
Relationship
Relationship R l i hi
Relationship
30. Dissolution Requirements
Dissolution Requirements
Minimum
% released
d
Dissolution
eleased
for BE Minimum/Maximum
Reference Dissolution for BE
% re
%
Product
Reference
Permeability
P bilit Product
Controlled Dissolution
Controlled
time time
31. Conclusions
• The BCS has changed the way we look at drugs and the drug
development process
development process
• The BCS is the mechanistic foundation for Biowaivers
• BCS is a risk management tool
g
• BCS allows us to ask the right questions to find the solutions
in drug development
• S ft
Software can assist to estimate critical formulations variables
i tt ti t iti l f l ti i bl
• Fewer in vivo studies
• QbD is a product specific extension of SUPAC
is a product specific extension of SUPAC
• Need to educate students in QbD
3/2/2010 31
32. Acknowledgements
• Faculty of Pharmacy University of Alberta
• SimulationsPlus
• NSERC
• Merck Frosst
• USP
• Dr M Di Maso
Dr. M. Di Maso
• Arthur Okumo
3/2/2010 32