Identifying Non-Scalable Reaction Conditions at Small Scale

Demonstrates how to generate process information at lab scale quickly and easily. Various examples from users in the pharmaceutical industry will be discussed with emphasis on the evaluation of heat flow data and the subsequent deductions made.The failure to recognize a non-scalable reaction during early development can lead to potential batch failures, purity and yield inconsistencies, re-development of processes and even delays in delivering compounds.

This webinar will demonstrate how to generate process information at lab scale quickly and easily. Various examples from users in the pharmaceutical industry will be discussed with emphasis on the evaluation of heat flow data and the subsequent deductions made. Defining safer and more efficient reaction conditions is discussed, including: Dosing rate, Reaction temperature, Stirring rate, Reaction time. Applications examples presented include: Bromination of disubstituted aniline, Transmetallation and deprotection reactions, Acetylation in pseudo-adiabatic mode, Urea cyclization, Chlorination of dibenzyl phosphite, Grignard reaction

Category:

Science & Technology

Tags:

• non-scalable reaction
• reaction conditions
• batch failures
• lab scale
• heat flow data
• pharmaceutical industry
• dosing rate
• reaction temperature
• stirring rate
• reaction time
• process development
• Urea cyclization
• Grignard reaction
• METTLER TOLEDO
• EasyMax
• Simon Rea
• Pharmaceutical Scientist
• lab reactor