Optimization of Experimental Design in the Analytical Laboratory

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.

Diagnosis of the experimental system
Optimum experimental strategies
Determining if existing data is sufficient or additional experimentation is required
Statistics of optimization

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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