A batch modelling approach to monitor a freeze-drying process using in-line Raman spectroscopy

作者：Sarraguca Mafalda Cruz; De Beer Thomas; Vervaet Chris; Remon Jean Paul; Lopes Joao Almeida^*

来源：Talanta, 2010, 83(1): 130-138.

DOI：10.1016/j.talanta.2010.08.051

• Freeze-drying
• D-Mannitol
• Batch process monitoring
• Process analytical technology
• Multi way analysis
• PLS
• PARAFAC

Freeze-drying or lyophilisation is a batch wise industrial process used to remove water from solutions hence stabilizing the solutes for distribution and storage The objective of the present work was to outline a batch modelling approach to monitor a freeze-drying process in-line and in real-time using Raman spectroscopy A 5% (w/v) D-mannitol solution was freeze-dried in this study as model The monitoring of a freeze-drying process using Raman spectroscopy allows following the product behaviour and some process evolution aspects by detecting the changes of the solutes and solvent occurring during the process Herewith real-time solid-state characterization of the final product is also possible
The timely spectroscopic measurements allowed the differentiation between batches operated in normal process conditions and batches having deviations from the normal trajectory Two strategies were employed to develop batch models partial least squares (PLS) using the unfolded data and parallel factor analysis (PARAFAC) It was shown that both strategies were able to developed batch models using in-line Raman spectroscopy allowing to monitor the evolution in real-time of new batches However the computational effort required to develop the PLS model and to evaluate new batches using this model is significant lower compared to the PARAF

• 出版日期2010-11-15