Process Analytical Technique (PAT): An Integral Part of Pharmaceutical Process Automation

Authors

  • Parag Das Oman Pharmaceuticals products Co. LLC., Muscat, Oman.
  • Sruti Ranjan Mishra Department of Pharmaceutical Technology, Jeypore College of Pharmacy, Rondapalli, Jeypore, Koraput, Odisha, India
  • Bhabani Shankar Nayak Department of Pharmaceutical Technology, Jeypore College of Pharmacy, Rondapalli, Jeypore, Koraput, Odisha, India

Keywords:

Process Analytical Technique, Chemometric, Quality by Design, US FDA

Abstract

Process Analytical Technology (PAT) is a system for designing, analyzing and controlling manufacturing process through timely measurements of critical quality and performance attributes of raw materials, in-process materials and processes with the goal of ensuring final product quality as well as reducing manufacturing costs, thereby significantly benefiting the Pharmaceutical Industry in manufacturing area. PAT involves the use of different technologies and tools to build quality into the products. Different techniques are described for typical steps in the production of drug substance and drug product. These methods are mainly based on spectroscopy and other optical sensors, in combination with chemometric multivariate data evaluation tools. Pharmaceutical companies face many challenges while implementing PAT into their new and pre-existing manufacturing processes. To make the Pharmaceutical process Automation effective the implementation of Process Analytical Technique (PAT) in the Process is very important to avoid human interference. So this review includes discussion about the PAT in details which is very important.

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References

Doherty SJ, Lange AJ. Avoiding pitfalls with chemometrics and PAT in the pharmaceutical and biotech industries, TrAC. Trends Anal Chem. 2006; 25: 1097-1102.

Roggo Y, Chalus P, Maurer L, et al. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. J Pharm Biom Anal. 2007; 44(3): 683-700.

McCreery RL, Horn AJ, Spencer J, et al. Non-invasive identification of materials inside USP vials with Raman spectroscopy and a Raman spectral library. J Pharm Sci. 1998; 87: 1-8.

Wiss J, Zilian A. On-line spectroscopic investigations (FTIR/RAMAN) of industrial reactions: synthesis of tributyltinazide and hydrogenation of chloronitrobenzene. Org Process Res Dev. 2003; 7(6): 1059-1066.

Knöpke LR, Nemati N, Köckritz A, et al. Reaction monitoring of heterogeneously catalyzed hydro-genation of imines by coupled ATR-FTIR, UV/Vis, and Raman spectroscopy. Chem Cat Chem. 2, 273-280 (2010).

Wiss J, Lanzlinger M, Wermuth M. Safety Improvement of a Grignard Reaction Using On Line NIR Monitoring. Org Process Res Dev. 2005; 9(3): 365-371.

Barrett P, Glennon B. In-line FBRM monitoring of particle size in dilute agitated suspensions. Part Part Syst Charact. 1999; 16: 207- 211.

Heath AR, Fawell PD, Bahri PA, et al. Estimating average particle size by focused beam reflectance measurement (FBRM). Part Part Syst Charact. 2002; 19: 84-95.

Dang L, Yang H, Black S, et al. The effect of temperature and solvent composition on transformation of ?- to ?-glycine as monitored in situ by FBRM and PVM. Org Process Res Dev. 2009; 13: 1301-1306.

Hu Y, Liang JK, Myerson AS, et al. Crystallization monitoring by Raman spectroscopy: simultaneous measurement of desupersaturation profile and polymorphic form in flufenamic acidsystems. Ind Eng Chem Res. 2005; 44(5): 1233-1240.

Dodda AG, Saranteas K, Henson MA. Using Online Mass Spectrometry to Predict the End Point during Drying of Pharmaceutical Products. Org Process Res Dev. 2015; 19(1): 122-131.

Wiss J, Burgbacher J. Industrial applications of on-line monitoring of drying processes of drug sub-stances using NIR. Org Process Res Dev. 2008; 12(2): 235-242.

Corredor CC, Bu D, Both D. Comparison of near infrared and microwave resonance sensors for at-line moisture determination in powders and tablets. Analytica Chimica Acta. 2011; 696: 84-93.

Hu Y, Vaisman A. A PAT solution for automated mill control. Pharm Tech. 2010; 34(1): 34-39.

Blanco M, Gozalez BR, Bertran E. Monitoring powder blending in pharmaceutical processes by use of near infrared spectroscopy. Talanta. 2002; 56: 203-212.

Sulub Y, LoBrutto R, Vivilecchia R, et al. Content uniformity determination of pharmaceutical tablets using five near-infrared reflectance spectrometers: A process analytical technology (PAT) approach using robust multivariate calibration transfer algorithms. Anal Chim Acta. 2008; 611: 143-150.

Corredor CC, Dongsheng B, Douglas B. Comparison of near infrared and microwave resonance sensors for at-line moisturedetermination in powders and tablets. Analytica Chimica Acta. 2011; 696: 84–93.

Ward HW, Frank ES. On-line determination and control of thewater content in a continuous conversion reactor using NIRspectroscopy. Anal Chim Acta. 2007; 595(1-2): 319-22.

John F, Mac G, Mark JB. Framework for thedevelopment of design and control spaces. J Pharm Innov. 2008; 3: 15–22.

Muteki K, Swaminathan V, Sekulic SS, Reid GL. De-risking Pharmaceutical Tablet Manufacture Through ProcessUnderstanding, Latent Variable Modeling, and Optimization Technologies. AAPS Pharm Sci Tech. 2011; 12(4): 1324-1334.

Muteki K, Yamamoto K, Reid GL, Krishnan M. De-risking Scale-upof a High Shear Wet Granulation Process Using Latent VariableModeling and Near Infrared Spectroscopy. J Pharm Innov. 2011; 6(3): 142-156.

Junker BH, Wang HY. Bioprocess monitoringand computer control: key roots of the current PAT initiative. Biotechnol Bioeng. 2006; 95(2): 226– 261.

Published

2017-02-02
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Parag Das, Sruti Ranjan Mishra, and Bhabani Shankar Nayak. “Process Analytical Technique (PAT): An Integral Part of Pharmaceutical Process Automation”. International Journal of Pharmaceutics and Drug Analysis, vol. 5, no. 2, Feb. 2017, pp. 31-35, https://www.ijpda.org/index.php/journal/article/view/267.

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