On-line product quality and process failure monitoring in freeze-drying of pharmaceutical products
| Autor: | Alberto Ferrer, Domenico Colucci, Davide Fissore, José Manuel Prats-Montalbán |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Process failure
Noninvasive imaging Computer science General Chemical Engineering media_common.quotation_subject ESTADISTICA E INVESTIGACION OPERATIVA Infrared imaging 02 engineering and technology Fault detection and isolation Freeze-drying 0404 agricultural biotechnology 020401 chemical engineering Quality monitoring Quality (business) 0204 chemical engineering Physical and Theoretical Chemistry Process engineering media_common business.industry 04 agricultural and veterinary sciences 040401 food science Multivariate statistical process control Product (mathematics) Process monitoring infrared imaging process monitoring multivariate statistical process control freeze-drying business |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| Popis: | [EN] In this work the information provided by a noninvasive imaging sensor was used to develop two algorithms for real time fault detection and product quality monitoring during the Vacuum Freeze-Drying of single dose pharmaceuticals. Two algorithms based on multivariate statistical techniques, namely Principal Component Analysis and Partial Least Square Regression, were developed and compared. Five batches obtained under Normal Operating Conditions were used to train a reference model of the process; the classification abilities of these algorithms were tested on five more batches simulating different kind of faults. Good classification performances have been obtained with both algorithms. Coupling the information obtained from an infrared camera with that of other variables obtained from the PLC of the equipment, and from the textural analysis performed on the RGB images of the product, strongly improves the performances of the algorithms. The proposed algorithms can account for the heterogeneity of the batch and aim to reduce the off-specification products. This research work was partially supported by the Spanish Ministry of Economy, Industry and Competitiveness under the project DPI2017-82896-C2-1-R. |
| Databáze: | OpenAIRE |
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