BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Simulation of wet milling of active pharmaceutical ingredients by 
 a population balance model
DTSTART:20170809T110000
DTEND:20170809T120000
DTSTAMP:20260427T233143Z
UID:b1d781260d6ee3089044de1310e7d09eda422d6078cd5455f7d94f6f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Vladimir Gorbachev\n\nVolgograd State Technical University (VS
 TU)\nNext Generation Scientist 2017\, NOP Proj. Integrat. & Part. Eng.\, T
 echnical Research & Development\, Global Drug Discovery\, Novartis Pharma 
 AG\, Basel\, Switzerland\n\nThe shape\, size distribution and surface prop
 erties of active pharmaceutical ingredient (API) particles are critical qu
 ality attributes which can affect not only the API’s process ability\, b
 ut also the dissolution kinetics of the resulting formulated drug. Althoug
 h wet milling is successfully applied in the chemical and pharmaceutical i
 ndustry for many years to modify particle shape and the size distribution\
 ,1 the milling processes are mostly developed empirically by trial and err
 or. A better understanding of the effect of specific milling operations on
  particle properties would benefit process development in the pharmaceutic
 al industry.2\,3\nThe objective of this work is to develop and implement a
  population balance model to describe the particle breakage in a conical r
 otor-/stator wet mill. A variety of breakage mechanisms compete concurrent
 ly and particles can additionally partially dissolve during milling depend
 ing on the energy input\, particle size and solubility. Particle Size Dist
 ribution is also determined and validated with literature data. As part of
  this work\, the dominant effects was identified and was included in the m
 odel. The resulting population balance model facilitate the scale-up of we
 t milling processes from lab to pilot plant.\nMoreover\, significant part 
 of work is devoted to CFD-simulation and opportunity the scale-up of cryst
 allization process from lab to pilot plan and determination of influence o
 f basic input parameters like: type of crystallization\, impellers type\, 
 mode of mixing etc.\n\nReferences:\n[1] Stadler\, R\, Polke R\, Schwedes J
 .\, Vock F.\, Chem-Ing-Tech 62 (1990) 907-915.\n[2] Luciani C.V.\, Conder 
 E.W.\, Seibert K.D.\, Org. Process Res. Dev. 19 (2015) 582-589.\n[3] Juhnk
 e M.\, John E.\, Chem. Eng. Technol. 37 (2014) 757-764.\n 
LOCATION:Emosson
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR