Monitoring of a Pharmaceuticals Freeze-Drying Process by Model-Based Process Analytical Technology Tools

2013 ◽  
Vol 37 (2) ◽  
pp. 240-248 ◽  
Author(s):  
Serena Bosca ◽  
Davide Fissore
Keyword(s):  
Freeze Drying ◽  
Process Analytical Technology ◽  
Drying Process ◽  
Model Based ◽  
Technology Tools ◽  
Analytical Technology

Implementation of a Process Analytical Technology System in a Freeze-Drying Process Using Raman Spectroscopy for In-Line Process Monitoring

2007 ◽  
Vol 79 (21) ◽  
pp. 7992-8003 ◽  
Author(s):  
T. R. M. De Beer ◽  
M. Allesø ◽  
F. Goethals ◽  
A. Coppens ◽  
Y. Vander Heyden ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Process Monitoring ◽  
Freeze Drying ◽  
Process Analytical Technology ◽  
Drying Process ◽  
Technology System ◽  
Line Process ◽  
Analytical Technology

Potential of Near-Infrared Chemical Imaging as Process Analytical Technology Tool for Continuous Freeze-Drying

2018 ◽  
Vol 90 (7) ◽  
pp. 4354-4362 ◽  
Author(s):  
Davinia Brouckaert ◽  
Laurens De Meyer ◽  
Brecht Vanbillemont ◽  
Pieter-Jan Van Bockstal ◽  
Joris Lammens ◽  
...  
Keyword(s):  
Freeze Drying ◽  
Near Infrared ◽  
Process Analytical Technology ◽  
Chemical Imaging ◽  
Technology Tool ◽  
Analytical Technology

scholarly journals Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process

2018 ◽  
Author(s):  
Domenico Colucci ◽  
José Manuel Prats-Montalban ◽  
Davide Fissore ◽  
Alberto Ferrer Riquelme
Keyword(s):  
Image Analysis ◽  
Process Monitoring ◽  
Freeze Drying ◽  
Reference Model ◽  
Process Analytical Technology ◽  
Infrared Camera ◽  
Drying Process ◽  
Thermal Images ◽  
Multivariate Image Analysis ◽  
Multivariate Image

A new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information after automatic detection and segmentation of the region corresponding to the product in every vial. A reference model was built, using the information of six batches, and different kind of anomalous events, involving either single vials in the batch or the whole batch, were simulated to test the capacity of the MIA-based monitoring system to promptly identify them. Keywords: freeze-drying; process monitoring; infrared image; multivariate image analysis. 

Sign in / Sign up

Export Citation Format

Share Document