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Designing robust chromatographic processes with proven predictive approach

Designing robust chromatographic processes with proven predictive approach

Categories

Date of beginning

Tuesday, 06 November 2018

Duration

2 days

Deadline for abstracts

-

City

Basel

Country

Switzerland

Contact

Hannah May

E-Mail

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Expected participants

0

Participants

0

Memo

This course will present an overview of the state of the art in process chromatography. The attendees will learn how to develop preparative chromatographic processes. They will gain knowledge on the scale-up and optimization of these processes.



The course will cover the fundamentals of process chromatography and the tutors will present a rational and proven methodology for the design of efficient and robust chromatographic processes. They will show how this approach serves both the design of new processes and the resolution of issues encountered in the daily life of chromatographers.



The methodology rests upon the rigorous description of the physical phenomena at stake, which includes thermodynamics, kinetics of mass transfer and hydrodynamics of the separation. Predictive models are derived from the understanding of these phenomena and are then used to assess the impact of operating parameters on the process performances.



Major applications will also be presented, spanning across the tone-scale glucose/fructose separation or the purification of therapeutic protein with stringent purity constraints. Various case studies inspired from real industrial examples or taken from the most recent literature will illustrate that the general approach presented during these two day applies as a roadmap, irrespective of the application, and ultimately leads to the development of reliable and robust processes.



Brochure: https://go.evvnt.com/225922-2?pid=5569



Time: 09:00 to 17:00.



Venue details: Radisson Blu Hotel, 25 Steinentorstrasse, Basel, 4001, Switzerland.



Price:

Course fee: EUR 1699.0.



Speakers: Roger-Marc Nicoud, PhD, David Pfister, PhD