Literature DB >> 17089677

Process analytical technology in the pharmaceutical industry: a toolkit for continuous improvement.

Bradley Scott1, Anne Wilcock.   

Abstract

Process analytical technology (PAT) refers to a series of tools used to ensure that quality is built into products while at the same time improving the understanding of processes, increasing efficiency, and decreasing costs. It has not been widely adopted by the pharmaceutical industry. As the setting for this paper, the current pharmaceutical manufacturing paradigm and PAT guidance to date are discussed prior to the review of PAT principles and tools, benefits, and challenges. The PAT toolkit contains process analyzers, multivariate analysis tools, process control tools, and continuous improvement/knowledge management/information technology systems. The integration and implementation of these tools is complex, and has resulted in uncertainty with respect to both regulation and validation. The paucity of staff knowledgeable in this area may complicate adoption. Studies to quantitate the benefits resulting from the adoption of PAT within the pharmaceutical industry would be a valuable addition to the qualitative studies that are currently available.

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Year:  2006        PMID: 17089677

Source DB:  PubMed          Journal:  PDA J Pharm Sci Technol        ISSN: 1079-7440


  6 in total

1.  Particle size, moisture, and fluidization variations described by indirect in-line physical measurements of fluid bed granulation.

Authors:  Tanja Lipsanen; Tero Närvänen; Heikki Räikkönen; Osmo Antikainen; Jouko Yliruusi
Journal:  AAPS PharmSciTech       Date:  2008-10-17       Impact factor: 3.246

2.  Polymorph Discrimination using Low Wavenumber Raman Spectroscopy.

Authors:  Saikat Roy; Brianna Chamberlin; Adam J Matzger
Journal:  Org Process Res Dev       Date:  2013-06-20       Impact factor: 3.317

3.  Far-Infrared Spectroscopy as a Probe for Polymorph Discrimination.

Authors:  Kuthuru Suresh; Jeffrey S Ashe; Adam J Matzger
Journal:  J Pharm Sci       Date:  2018-12-30       Impact factor: 3.534

4.  Real-time monitoring and model-based prediction of purity and quantity during a chromatographic capture of fibroblast growth factor 2.

Authors:  Dominik Georg Sauer; Michael Melcher; Magdalena Mosor; Nicole Walch; Matthias Berkemeyer; Theresa Scharl-Hirsch; Friedrich Leisch; Alois Jungbauer; Astrid Dürauer
Journal:  Biotechnol Bioeng       Date:  2019-04-17       Impact factor: 4.530

Review 5.  Model-Based Scale-Up Methodologies for Pharmaceutical Granulation.

Authors:  Eun Ha Jang; Yun Sang Park; Min-Soo Kim; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2020-05-14       Impact factor: 6.321

6.  Automated High-Throughput Capillary Circular Dichroism and Intrinsic Fluorescence Spectroscopy for Rapid Determination of Protein Structure.

Authors:  Charles Moore-Kelly; John Welsh; Alison Rodger; Tim R Dafforn; Owen R T Thomas
Journal:  Anal Chem       Date:  2019-10-17       Impact factor: 6.986

  6 in total

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