This paper proposes a systematic work process for the rapid determination of resistance to vapor flow given by the products being freeze-dried. This approach couples mathematical modeling and 3D nondestructive X-ray imaging to reconstruct the internal structure of lyophilized samples. Knowledge of the internal structure is fundamental to better understand the relationship between freezing and within-product heterogeneity as well as between freezing and the drying behavior of the product being lyophilized. The method was validated upon mannitol-based formulations using various freezing protocols. This stepwise approach was demonstrated to be helpful to lyophilization professionals for the control of within-product heterogeneity and for the optimization of the cycle.

Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images / Pisano, R.; Barresi, A. A.; Capozzi, L. C.; Novajra, G.; Oddone, I.; VITALE BROVARONE, C.. - In: DRYING TECHNOLOGY. - ISSN 0737-3937. - STAMPA. - 35:8(2017), pp. 933-938. [10.1080/07373937.2016.1222540]

Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images

Pisano R.;Barresi A. A.;Capozzi L. C.;Novajra G.;Oddone I.;VITALE BROVARONE C.
2017

Abstract

This paper proposes a systematic work process for the rapid determination of resistance to vapor flow given by the products being freeze-dried. This approach couples mathematical modeling and 3D nondestructive X-ray imaging to reconstruct the internal structure of lyophilized samples. Knowledge of the internal structure is fundamental to better understand the relationship between freezing and within-product heterogeneity as well as between freezing and the drying behavior of the product being lyophilized. The method was validated upon mannitol-based formulations using various freezing protocols. This stepwise approach was demonstrated to be helpful to lyophilization professionals for the control of within-product heterogeneity and for the optimization of the cycle.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2670552