E20: Quality-by-Design Fundamentals for Optimal Operation in the Analytical Laboratory

 One-Day Course
Date to be announced; 8:30am – 5:00pm

 Dr. Zenaida Otero Gephardt, Otero Associates, Wilmington, DE

This is Part 1 of a two-day course that includes the fundamentals of quality by design in the analytical laboratory.  The background and basic principles of QbD will be discussed in the context of applications in the pharmaceutical and chemical industries.  The conceptual framework for QbD operation in the analytical laboratory will be discussed in detail with emphasis on critical quality attributes and critical process parameters (CQA, CPP).  QbD in experimental program design, and data collection and analysis will be highlighted. Building quality in all aspects and phases of analytical laboratory experimentation and processing results in better decisions and more efficient and cost-effective operation. Course participants will be able to immediately use the techniques presented to enhance their effectiveness in data collection and analysis.  Practical applications will be used to demonstrate QbD techniques throughout the course.

This is Part 1 of a two-day course: Quality-by-Design: A New Paradigm for the Analytical Laboratory Part 1&2.  Part 1 and 2 can be combined as a two-day course; a discount will be offered over separately registering for the two one-day courses.  Click here for the two-day course description

Analytical chemists at all levels will benefit from this course. Laboratory supervisors and technical personnel involved in data analysis and reporting will also benefit.

1. Introduction to QbD and General Background
2. Building Quality from the Initial Concept in Experiments and Assays
3. QbD Steps for Optimization of Experimental Programs
4. Critical Quality Attributes (CQA) and Critical Process Parameters (CPP)
5. Data Quality Measures
6. Metrics for Comparisons to Specifications
7. Metrics for Detection of Variables’ Impact on Experiments and Investigation
8. Continuous Improvement Techniques in the Laboratory
9. QbD of Experiments (Design of Experiments): Basics and Motivation

Dr. Zenaida Otero Gephardt is Associate Professor of Chemical Engineering at Rowan University (Glassboro, NJ) where she has served as Director of Engineering and Assistant Dean. Dr. Gephardt is also a consultant through Otero Associates.  Her research focuses on optimization, development and mathematical modeling of chemical processes and laboratory techniques.  She has developed statistical models and experimental designs for a wide range of chemical processes including high pressure, supercritical systems, multi-phase systems and aquaculture applications. Dr. Gephardt has worked with a wide range of system scales ranging from bench scale laboratory systems to large-scale industrial applications, and has over 20 years experience in analysis and optimization applications in the chemical process industry.  She teaches on-site courses for industry and provides analysis and experimental design support.  Dr. Gephardt is a Fellow of the American Institute of Chemical Engineers (AIChE) and is a registered Professional Engineer in Delaware. She holds a Ph.D. in chemical engineering from the University of Delaware.