Evaluation of Analytical and Sampling Errors in the Prediction of the Active Pharmaceutical Ingredient Concentration in Blends From a Continuous Manufacturing Process
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Abstract
Purpos: A near-infrared (NIR) spectroscopic method was developed for real time analysis of the active pharmaceutical ingredient (API) in blends from a continuous manufacturing process. The sampling and analytical errors of these determinations were estimated through variographic analysis. Methods: Thirty-three calibration blends were prepared in laboratory scale equipment with a concentration range spanning from 70 to 130% of API target concentration. The NIR calibration model was validated using three independent validation sets (prepared in laboratory and pilot plant facilities and in the CM equipment). Real-time NIR spectra were obtained with an interface where three NIR spectrometers monitored the CM process. A variographic study was performed with the NIR predictions of drug concentration in blends. Result: A total of 1800 NIR spectra were obtained throughout a CM run that lasted 2.5 h. Two NIR spectrometers (M1 and M2) monitored the CM run while located in positions b-1 and b-3 of the sensing interface. These two positions yielded very similar results. The average NIR predictions for blends were 101.67% LC for the first run using spectrometer M1 and 103.60% LC with M2. The second run provided an average NIR prediction of 101.19% LC with M1 and 103.16% LC with M2. The average drug concentration in tablets was 100.63% LC for the first run and 100.42% LC for the second run. Variograms showed a low sill and a flat, stable variogram demonstrating good mixing of the blend. Conclusion: The CM process provided tablets with excellent content uniformity. The sampling and analytical errors and the true process variation were easily discerned through variographic analysis.
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Affiliations
- University of Puerto Rico at Mayagüez
- Janssen Ortho LLC
- Rutgers, The State University of New Jersey
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Classification Areas
- PAT
- Oral solid dose