Freeze-drying is a standard procedure in pharmaceutical industry, used to stabilize, store and increase the shelf life of drug products. In this process, the product has to be brought to a very low pressure and the lyophilization chamber has to be perfectly sealed. Even small external leaks can contaminate the entire drug batch. Since a single batch may contain thousands of product vials, freeze-dryer leakages are one of the most critical problems of the entire production chain of lyophilized drugs. We describe a simple mathematical model for lyophilizer leaks and address the problem of identifying and separating internal and external leaks. We propose a leak identification method based on the use of multiple leak detection tests. By using the real data of a pharmaceutical lyophilizer, we show that the proposed method allows to identify internal and external leaks and to estimate their evolution in time.

Leak Detection and Classification in Pharmaceutical Freeze-Dryers: An Identification-Based Approach / Calzavara, G.; Consolini, L.; Ferrari, G.. - 2021-:(2021), pp. 1568-1573. (Intervento presentato al convegno 60th IEEE Conference on Decision and Control, CDC 2021 tenutosi a usa nel 2021) [10.1109/CDC45484.2021.9683753].

Leak Detection and Classification in Pharmaceutical Freeze-Dryers: An Identification-Based Approach

Calzavara G.;Consolini L.
;
Ferrari G.
2021-01-01

Abstract

Freeze-drying is a standard procedure in pharmaceutical industry, used to stabilize, store and increase the shelf life of drug products. In this process, the product has to be brought to a very low pressure and the lyophilization chamber has to be perfectly sealed. Even small external leaks can contaminate the entire drug batch. Since a single batch may contain thousands of product vials, freeze-dryer leakages are one of the most critical problems of the entire production chain of lyophilized drugs. We describe a simple mathematical model for lyophilizer leaks and address the problem of identifying and separating internal and external leaks. We propose a leak identification method based on the use of multiple leak detection tests. By using the real data of a pharmaceutical lyophilizer, we show that the proposed method allows to identify internal and external leaks and to estimate their evolution in time.
2021
978-1-6654-3659-5
Leak Detection and Classification in Pharmaceutical Freeze-Dryers: An Identification-Based Approach / Calzavara, G.; Consolini, L.; Ferrari, G.. - 2021-:(2021), pp. 1568-1573. (Intervento presentato al convegno 60th IEEE Conference on Decision and Control, CDC 2021 tenutosi a usa nel 2021) [10.1109/CDC45484.2021.9683753].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2929693
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