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Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review
The release of the FDA’s guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369811/ https://www.ncbi.nlm.nih.gov/pubmed/35956791 http://dx.doi.org/10.3390/molecules27154846 |
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author | Casian, Tibor Nagy, Brigitta Kovács, Béla Galata, Dorián László Hirsch, Edit Farkas, Attila |
author_facet | Casian, Tibor Nagy, Brigitta Kovács, Béla Galata, Dorián László Hirsch, Edit Farkas, Attila |
author_sort | Casian, Tibor |
collection | PubMed |
description | The release of the FDA’s guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed. |
format | Online Article Text |
id | pubmed-9369811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93698112022-08-12 Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review Casian, Tibor Nagy, Brigitta Kovács, Béla Galata, Dorián László Hirsch, Edit Farkas, Attila Molecules Review The release of the FDA’s guidance on Process Analytical Technology has motivated and supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a deeper understanding of the product performance and process interplay. The technical opportunities to reach this high-level control have considerably evolved since 2004 due to the development of advanced analytical sensors and chemometric tools. However, their transfer to the highly regulated pharmaceutical sector has been limited. To this respect, data fusion strategies have been extensively applied in different sectors, such as food or chemical, to provide a more robust performance of the analytical platforms. This survey evaluates the challenges and opportunities of implementing data fusion within the PAT concept by identifying transfer opportunities from other sectors. Special attention is given to the data types available from pharmaceutical manufacturing and their compatibility with data fusion strategies. Furthermore, the integration into Pharma 4.0 is discussed. MDPI 2022-07-28 /pmc/articles/PMC9369811/ /pubmed/35956791 http://dx.doi.org/10.3390/molecules27154846 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Casian, Tibor Nagy, Brigitta Kovács, Béla Galata, Dorián László Hirsch, Edit Farkas, Attila Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review |
title | Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review |
title_full | Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review |
title_fullStr | Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review |
title_full_unstemmed | Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review |
title_short | Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology—A Review |
title_sort | challenges and opportunities of implementing data fusion in process analytical technology—a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369811/ https://www.ncbi.nlm.nih.gov/pubmed/35956791 http://dx.doi.org/10.3390/molecules27154846 |
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