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Challenges and Opportunities of Implementing Data Fusion in Process Analytical Technology-A Review.

Tibor CasianBrigitta NagyBéla KovácsDorián László GalataEdit HirschAttila Farkas
Published in: Molecules (Basel, Switzerland) (2022)
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.
Keyphrases
  • electronic health record
  • big data
  • liquid chromatography
  • multidrug resistant
  • transcription factor
  • machine learning
  • mass spectrometry
  • artificial intelligence
  • cross sectional