Process analytical technology in continuous manufacturing of a commercial pharmaceutical product

• Published in: International journal of pharmaceutics Vol. 538; no. 1-2; pp. 167 - 178
• Main Authors: Vargas, Jenny M., Nielsen, Sarah, Cárdenas, Vanessa, Gonzalez, Anthony, Aymat, Efrain Y., Almodovar, Elvin, Classe, Gustavo, Colón, Yleana, Sanchez, Eric, Romañach, Rodolfo J.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01-03-2018
• Subjects: Calibration; Chemistry, Pharmaceutical - methods; Drug Compounding - methods; Drug Labeling; Equipment Design; Least-Squares Analysis; Pharmaceutical Preparations - administration & dosage; Pharmaceutical Preparations - chemistry; Principal Component Analysis; Spectroscopy, Fourier Transform Infrared; Spectroscopy, Near-Infrared - methods; Tablets; Technology, Pharmaceutical - methods
• DOI: 10.1016/j.ijpharm.2018.01.003
• EISSN: 1873-3476
• ISSN: 0378-5173

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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.