Literature DB >> 29355655

Process analytical technology in continuous manufacturing of a commercial pharmaceutical product.

Jenny M Vargas1, Sarah Nielsen2, Vanessa Cárdenas3, Anthony Gonzalez4, Efrain Y Aymat4, Elvin Almodovar4, Gustavo Classe4, Yleana Colón4, Eric Sanchez4, Rodolfo J Romañach5.   

Abstract

The implementation of process analytical technology and continuous manufacturing at an FDA approved commercial manufacturing site is described. In this direct compaction process the blends produced were monitored with a Near Infrared (NIR) spectroscopic calibration model developed with partial least squares (PLS) regression. The authors understand that this is the first study where the continuous manufacturing (CM) equipment was used as a gravimetric reference method for the calibration model. A principal component analysis (PCA) model was also developed to identify the powder blend, and determine whether it was similar to the calibration blends. An air diagnostic test was developed to assure that powder was present within the interface when the NIR spectra were obtained. The air diagnostic test as well the PCA and PLS calibration model were integrated into an industrial software platform that collects the real time NIR spectra and applies the calibration models. The PCA test successfully detected an equipment malfunction. Variographic analysis was also performed to estimate the sampling analytical errors that affect the results from the NIR spectroscopic method during commercial production. The system was used to monitor and control a 28 h continuous manufacturing run, where the average drug concentration determined by the NIR method was 101.17% of label claim with a standard deviation of 2.17%, based on 12,633 spectra collected. The average drug concentration for the tablets produced from these blends was 100.86% of label claim with a standard deviation of 0.4%, for 500 tablets analyzed by Fourier Transform Near Infrared (FT-NIR) transmission spectroscopy. The excellent agreement between the mean drug concentration values in the blends and tablets produced provides further evidence of the suitability of the validation strategy that was followed.
Copyright © 2018 Elsevier B.V. All rights reserved.

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Year:  2018        PMID: 29355655     DOI: 10.1016/j.ijpharm.2018.01.003

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  6 in total

Review 1.  Continuous Manufacturing and Molecular Modeling of Pharmaceutical Amorphous Solid Dispersions.

Authors:  Amritha G Nambiar; Maan Singh; Abhishek R Mali; Dolores R Serrano; Rajnish Kumar; Anne Marie Healy; Ashish Kumar Agrawal; Dinesh Kumar
Journal:  AAPS PharmSciTech       Date:  2022-09-02       Impact factor: 4.026

2.  Continuous Manufacturing of Ketoprofen Delayed Release Pellets Using Melt Extrusion Technology: Application of QbD Design Space, Inline Near Infrared, and Inline Pellet Size Analysis.

Authors:  Anh Q Vo; Gerd Kutz; Herman He; Sagar Narala; Suresh Bandari; Michael A Repka
Journal:  J Pharm Sci       Date:  2020-09-08       Impact factor: 3.534

3.  Control of Drug-Excipient Particle Attributes with Droplet Microfluidic-based Extractive Solidification Enables Improved Powder Rheology.

Authors:  Denise Z L Ng; Arif Z Nelson; Gareth Ward; David Lai; Patrick S Doyle; Saif A Khan
Journal:  Pharm Res       Date:  2022-02-04       Impact factor: 4.200

4.  Systematic discovery about NIR spectral assignment from chemical structural property to natural chemical compounds.

Authors:  Lijuan Ma; Yanfang Peng; Yanling Pei; Jingqi Zeng; Haoran Shen; Junjie Cao; Yanjiang Qiao; Zhisheng Wu
Journal:  Sci Rep       Date:  2019-07-01       Impact factor: 4.379

5.  Fiberoptic-Coupled Spectrofluorometer with Array Detection as a Process Analytical Chemistry Tool for Continuous Flow Monitoring of Fluoroquinolone Antibiotics.

Authors:  Nader Shokoufi; Maryam Vosough; Mona Rahimzadegan-Asl; Atefeh Abbasi-Ahd; Mahsa Khatibeghdami
Journal:  Int J Anal Chem       Date:  2020-02-07       Impact factor: 1.885

Review 6.  Process Analytical Technologies and Data Analytics for the Manufacture of Monoclonal Antibodies.

Authors:  Murali K Maruthamuthu; Scott R Rudge; Arezoo M Ardekani; Michael R Ladisch; Mohit S Verma
Journal:  Trends Biotechnol       Date:  2020-08-21       Impact factor: 19.536

  6 in total

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