Background
Experimentation in the analytical laboratory can be expensive and labor intensive.
Optimization in the laboratory can significantly improve the efficiency of
the laboratory staff and reduce the cost of chemicals and operations
by reducing the number of experiments required. Optimization allows staff to
focus on experimental development and streamlines the laboratory operations.
What You Will Learn
Gain an understanding of the statistics involved in optimization of
experimental design. Become familiar with practical, ready-to-use
guidelines that can significantly improve your laboratory operations.
Who Should Attend
Anyone responsible for the supervision, operation, or management
of an analytical laboratory performing method development
and/or validation. Anyone responsible for developing and/or validating
analytical methods.
Topics
| • | Diagnosis of the experimental system |
| • | Optimum experimental strategies |
| • | Determining if existing data is sufficient or additional experimentation is required |
| • | Statistics of optimization |
Instructor
Dr. Zanaida Otero-Keil is Associate Professor of
Chemical Engineering at Rowan College of New Jersey and is also an
experienced engineering consultant. Dr. Otero-Keil's research
focuses on optimization, development, and mathematical modeling of
chemical processes and laboratory techniques. She is widely
recognized for her ability to teach these topics in a clear,
understandable way, and with down-to-earth practicality. She
received her Ph.D. in Chemical Engineering from the University
of Delaware and is a registered Professional Engineer in Delaware.
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