Standard Guide for Multivariate Data Analysis in Pharmaceutical Development and Manufacturing Applications
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Multivariate Analysis in the Pharmaceutical Industry
Author: Ana Patricia Ferreira
Publisher: Academic Press
Published: 2018-04-24
Total Pages: 465
ISBN-13: 012811066X
DOWNLOAD EBOOKMultivariate Analysis in the Pharmaceutical Industry provides industry practitioners with guidance on multivariate data methods and their applications over the lifecycle of a pharmaceutical product, from process development, to routine manufacturing, focusing on the challenges specific to each step. It includes an overview of regulatory guidance specific to the use of these methods, along with perspectives on the applications of these methods that allow for testing, monitoring and controlling products and processes. The book seeks to put multivariate analysis into a pharmaceutical context for the benefit of pharmaceutical practitioners, potential practitioners, managers and regulators. Users will find a resources that addresses an unmet need on how pharmaceutical industry professionals can extract value from data that is routinely collected on products and processes, especially as these techniques become more widely used, and ultimately, expected by regulators. Targets pharmaceutical industry practitioners and regulatory staff by addressing industry specific challenges Includes case studies from different pharmaceutical companies and across product lifecycle of to introduce readers to the breadth of applications Contains information on the current regulatory framework which will shape how multivariate analysis (MVA) is used in years to come
Pharmaceutical Quality by Design
Author: Walkiria S. Schlindwein
Publisher: John Wiley & Sons
Published: 2018-01-05
Total Pages: 319
ISBN-13: 1118895215
DOWNLOAD EBOOKA practical guide to Quality by Design for pharmaceutical product development Pharmaceutical Quality by Design: A Practical Approach outlines a new and proven approach to pharmaceutical product development which is now being rolled out across the pharmaceutical industry internationally. Written by experts in the field, the text explores the QbD approach to product development. This innovative approach is based on the application of product and process understanding underpinned by a systematic methodology which can enable pharmaceutical companies to ensure that quality is built into the product. Familiarity with Quality by Design is essential for scientists working in the pharmaceutical industry. The authors take a practical approach and put the focus on the industrial aspects of the new QbD approach to pharmaceutical product development and manufacturing. The text covers quality risk management tools and analysis, applications of QbD to analytical methods, regulatory aspects, quality systems and knowledge management. In addition, the book explores the development and manufacture of drug substance and product, design of experiments, the role of excipients, multivariate analysis, and include several examples of applications of QbD in actual practice. This important resource: Covers the essential information about Quality by Design (QbD) that is at the heart of modern pharmaceutical development Puts the focus on the industrial aspects of the new QbD approach Includes several illustrative examples of applications of QbD in practice Offers advanced specialist topics that can be systematically applied to industry Pharmaceutical Quality by Design offers a guide to the principles and application of Quality by Design (QbD), the holistic approach to manufacturing that offers a complete understanding of the manufacturing processes involved, in order to yield consistent and high quality products.
Using Multivariate Analysis for Pharmaceutical Drug Product Development
Author: Yifan Wang
Publisher:
Published: 2016
Total Pages: 208
ISBN-13:
DOWNLOAD EBOOKManufacturing of pharmaceutical products has a prominent role in the healthcare industry. Generally, the ultimate aim of pharmaceutical development is to release to the market products with acceptable quality. As advanced pharmaceutical manufacturing technologies such as continuous tablet manufacturing, are developed and embraced, it is essential to adopt a scientific, risk-based, and proactive approach for pharmaceutical development. The work presented in this dissertation focuses on using multivariate analysis tools to establish a predictive capability for pharmaceutical process and product development, especially when the amount of materials available is limited. Importantly, the methodologies developed in this dissertation can be applied easily to powder handling and processing in a wider range of industries, such as cosmetic, catalyst, chemical, petrochemical, and food. In this work, methods for analyzing flow properties of raw materials and predict process performance were developed. A method to analyze shear cell data of powders measured under different initial consolidation stresses was introduced. The method was shown to reduce significantly the complexity of shear cell data, and to enabled comparison of materials measured under different initial consolidation stresses. In addition, a predictive correlation between material flow properties and feeder performance was developed. By using multivariate models, the feeding performance of a material with given flow properties can be predicted and quantified. Using a quality-by-design approach, the cohesion of a powder mixture can be predicted based on the concentration of each ingredient. The prediction model was further supplemented by a study investigating two mixing systems. Using statistical analysis, the effect of lubrication on blend flow properties was discussed. By quantifying the correlations between different flow property measurements, mixing systems that have different mixing mechanism were compared. Disadvantages of widely used dissolution comparison methods were addressed. Statistically reliable methodologies to analyze, compare, and predict drug in vitro release profiles were proposed. The proposed methods were shown to be able to consider the self-correlated intrinsic nature of dissolution profiles, and to use within-group variability to estimate the reliability of observations. Additionally, the work presented a case study to improve real-time release testing for advanced tablet manufacturing processes by achieving predictive capability for nondestructive dissolution testing. Using hierarchical multivariate analysis, the validated prediction models were able to predict dissolution profile of an individual tablet based on its NIR spectrum.
Method Validation in Pharmaceutical Analysis
Author: Joachim Ermer
Publisher: John Wiley & Sons
Published: 2014-08-27
Total Pages: 451
ISBN-13: 3527672184
DOWNLOAD EBOOKThis second edition of a global bestseller has been completely redesigned and extensively rewritten to take into account the new Quality by Design (QbD) and lifecycle concepts in pharmaceutical manufacturing. As in the first edition, the fundamental requirements for analytical method validation are covered, but the second edition describes how these are applied systematically throughout the entire analytical lifecycle. QbD principles require adoption of a systematic approach to development and validation that begin with predefined objectives. For analytical methods these predefined objectives are established as an Analytical Target Profile (ATP). The book chapters are aligned with recently introduced standards and guidelines for manufacturing processes validation and follow the three stages of the analytical lifecycle: Method Design, Method Performance Qualification, and Continued Method Performance Verification. Case studies and examples from the pharmaceutical industry illustrate the concepts and guidelines presented, and the standards and regulations from the US (FDA), European (EMA) and global (ICH) regulatory authorities are considered throughout. The undisputed gold standard in the field.
Near-Infrared Spectroscopy
Author: Yukihiro Ozaki
Publisher: Springer Nature
Published: 2020-11-13
Total Pages: 593
ISBN-13: 9811586489
DOWNLOAD EBOOKThis book provides knowledge of the basic theory, spectral analysis methods, chemometrics, instrumentation, and applications of near-infrared (NIR) spectroscopy—not as a handbook but rather as a sourcebook of NIR spectroscopy. Thus, some emphasis is placed on the description of basic knowledge that is important in learning and using NIR spectroscopy. The book also deals with applications for a variety of research fields that are very useful for a wide range of readers from graduate students to scientists and engineers in both academia and industry. For readers who are novices in NIR spectroscopy, this book provides a good introduction, and for those who already are familiar with the field it affords an excellent means of strengthening their knowledge about NIR spectroscopy and keeping abreast of recent developments.
Introduction to Quality by Design in Pharmaceutical Manufacturing and Analytical Development
Author: Márcia Cristina Breitkreitz
Publisher: Springer Nature
Published: 2023-07-13
Total Pages: 268
ISBN-13: 3031315057
DOWNLOAD EBOOKWritten by twenty-five authors from academia, pharmaceutical industry and Pharmacopeias worldwide, this monograph covers the fundamentals and applications of Quality by Design (QbD) and Analytical Quality by Design (AQbD) in a practical and didactic manner. The book starts by describing the motivation and the urgent need for the implementation of the QbD framework in pharmaceutical development, along with the definition of its major elements: Quality Target Product Profile (QTTP), Critical Quality Attributes (CQAs), Critical Process Parameters (CPPs), Critical Material Attributes (CMAs) and the importance of using multivariate methods of Design of Experiments (DOE). The concept of life cycle and regulatory perspectives are discussed. Three chapters are entirely dedicated to DOE theory from screening to optimization designs. Moreover, a comprehensive discussion on modelling and data treatment is presented. Practical aspects of QbD and DOE for pharmaceutical product and process of different dosage forms is included, as well as a practical guide of the input process variables, material attributes, intermediate, and final quality attributes for the most representative pharmaceutical processes. Analytical Quality by Design (AQbD) is also deeply explored, including risk analysis, definitions of Analytical Target Profile (ATP), Method Operable Design Region (MODR) and the life cycle approach, taking into account the compendial and regulatory perspectives. A detailed example of a new chromatographic method for the quality control of a pharmaceutical topical product based on the AQbD procedure is shown. Finally, advanced statistical approaches and DOE methods for extraction studies of bioactive compounds are also presented. The vast amount of information offered in this book provides a comprehensive perspective on QbD, AQbD and DOE principles, essential tools for modern pharmaceutical and analytical development.
Multivariate Data Analysis
Author: Kim H. Esbensen
Publisher: Multivariate Data Analysis
Published: 2002
Total Pages: 622
ISBN-13: 9788299333030
DOWNLOAD EBOOK"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for Windows 95, Windows NT 3.51 or later versions) including data sets for the exercises is available. Tutorial exercises based on data from real-world applications are used throughout the book to illustrate the use of the techniques introduced, providing the reader with a working knowledge of modern multivariate data analysis and experimental design. All exercises use The Unscrambler, a de facto industry standard for multivariate data analysis software packages. Multivariate Data Analysis in Practice is an excellent self-study text for scientists, chemists and engineers from all disciplines (non-statisticians) wishing to exploit the power of practical multivariate methods. It is very suitable for teaching purposes at the introductory level, and it can always be supplemented with higher level theoretical literature."Résumé de l'éditeur.
PAT Applied in Biopharmaceutical Process Development And Manufacturing
Author: Cenk Undey
Publisher: CRC Press
Published: 2011-12-07
Total Pages: 330
ISBN-13: 1439829454
DOWNLOAD EBOOKAs with all of pharmaceutical production, the regulatory environment for the production of therapeutics has been changing as a direct result of the US FDA-initiated Quality by Design (QbD) guidelines and corresponding activities of the International Committee for Harmonization (ICH). Given the rapid growth in the biopharmaceutical area and the complexity of the molecules, the optimum use of which are still being developed, there is a great need for flexible and proactive teams in order to satisfy the regulatory requirements during process development. Process Analytical Technologies (PAT) applied in biopharmaceutical process development and manufacturing have received significant attention in recent years as an enabler to the QbD paradigm. PAT Applied in Biopharmaceutical Process Development and Manufacturing covers technological advances in measurement sciences, data acquisition, monitoring, and control. Technical leaders present real-life case studies in areas including measuring and monitoring raw materials, cell culture, purification, and cleaning and lyophilization processes via advanced PAT. They also explore how data are collected and analyzed using advanced analytical techniques such as multivariate data analysis, monitoring, and control in real-time. Invaluable for experienced practitioners in PAT in biopharmaceuticals, this book is an excellent reference guide for regulatory officials and a vital training aid for students who need to learn the state of the art in this interdisciplinary and exciting area.
Applied Multivariate Statistical Analysis
Author: Wolfgang Karl Härdle
Publisher: Springer
Published: 2015-02-26
Total Pages: 581
ISBN-13: 3662451719
DOWNLOAD EBOOKFocusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields. All of the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de. The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.
