In Situ Sensors For Monitoring And Control Of Pharmaceutical Crystallization Processes | 74654
Journal of Remote Sensing & GIS
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Crystallisation is an important unit operation used as separation and purification technique. It is widely employed in the
pharmaceutical, chemical, agrochemical, food and cosmetics industries but also in the electronic, metallurgic and material
industries. More than 90% of the active pharmaceutical ingredients (APIs) on the market are produced by crystallisation and
crystal size, shape and lattice structure (polymorphism) have a profound effect on the properties of the final drug as well as
on the efficiency of the downstream operations (filtration, washing, drying, tableting etc.). Therefore, monitoring and control
this process is fundamental to ensure the quality of the end product. The implementation of process analytical technology
(PAT) tools during the development stage of APIs has largely helped in better understanding and optimizing both batch and,
more recently, continuous crystallisation. Specific instrumentation can be used to monitor on-line, in situ, crystal size and
shape (focused beam reflectance measurement, FBRM, particle vision and measurement, PVM), polymorphism (Raman,
FTIR and NIR spectroscopy) and liquid phase composition (Attenuated total reflectance UV/VIS and FTIR, on-line HPLC).
Furthermore, feedback control strategies based on PAT tools signal can be implemented in order to specifically tailor the
characteristics of the produced crystals and gain higher product quality and process efficiency. In this work, examples of direct
application of PAT tools in batch crystallization processes to improve crystal properties are shown and explained in detail.
Elena Simone graduated with an MSc in Chemical Engineering from the University of Pisa (Italy) and then moved to Loughborough University (UK) to study for a PhD in the Department of Chemical Engineering. After obtaining her doctorate degree she stayed in the same institution for a postdoc. Elena joined the School of Food Science and Nutrition at the University of Leeds in September 2016 as Lecturer in Remote Sensing.
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