An Integrated Real-time Monitoring and Statistical Process Control Approach for Coating Process and Product Quality via In-line Optical Coherence Tomography

Journal of Pharmaceutical Innovation - Tập 18 - Trang 1870-1878 - 2023
Stephan Sacher1, Elisabeth Fink1, Vanessa Herndler1, Willibald Stumptner1, Anna Peter1, Manuel Zettl1, Maxwell Korang-Yeboah2, Xin Feng2, Huiquan Wu2, Johannes G. Khinast1,3
1Research Center Pharmaceutical Engineering GmbH, Graz, Austria
2United States Food and Drug Administration, Silver Spring, USA
3Institute for Process and Particle Engineering, Graz University of Technology, Graz, Austria

Tóm tắt

The thickness and other quality aspects of pharmaceutical coatings can be significantly impacted by coating process conditions. Under certain circumstances, they can notably influence the drug product performance such as dissolution profiles. Typically, a target coating thickness range is defined in the coating process. The coating thickness is conventionally measured off-line via weight or diameter gain. However, these established methods do not allow real-time monitoring of the product quality during the coating process. Further, options to react to any deviations are limited due to the lack of real-time information on the actual process and product state. The focus of this study was the development of a data-driven approach for real-time process control. Optical coherence tomography (OCT) is a novel technique for in-line monitoring of pharmaceutical coating processes, which acquires coherent and accurate data on coating thickness and other quality attributes in real-time. Using the quality by design (QbD) principles, this study developed and implemented an integrated approach for tracking the process and the coating layer quality in real-time. Data on coating thickness and roughness were compared with data obtained from optimal process conditions. The integrated real-time process monitoring and control approach was executed and tested in a laboratory scale pan coating process. Coating runs with standard conditions and with intentional process upsets were performed. Using the real-time process trajectory to actively control the coating process, the dissolution profiles of the coated tablets produced in the event runs matched the optimal profiles well. Tracking the coating process trajectory via OCT is a novel method for controlling the coating process and the related product quality attributes in real-time. It can help to realise full benefits of real-time control in addition to end-point determination and can support product development activities as well as the operation during commercial manufacturing.

Tài liệu tham khảo

Dong R, Zeitler JA. Visualising liquid transport through coated pharmaceutical tablets using terahertz pulsed imaging. Int J Pharm. 2022;619:121703. https://doi.org/10.1016/j.ijpharm.2022.121703. Seitavuopio P, Heinämäki J, Rantanen J, Yliruusi J. Monitoring tablet surface roughness during the film coating process. AAPS PharmSciTech. 2006;7:31. https://doi.org/10.1208/pt070231. Wahl PR, Peter A, Wolfgang M, Khinast JG. How to measure coating thickness of tablets: method comparison of optical coherence tomography, near-infrared spectroscopy and weight-, height- and diameter gain. Eur J Pharm Biopharm. 2019;142:344–52. https://doi.org/10.1016/j.ejpb.2019.06.021. Bikiaris D, Koutri I, Alexiadis D, Damtsios A, Karagiannis G. Real time and non-destructive analysis of tablet coating thickness using acoustic microscopy and infrared diffuse reflectance spectroscopy. Int J Pharm. 2012;438:33–44. https://doi.org/10.1016/j.ijpharm.2012.08.056. Ariyasu A, Hattori Y, Otsuka M. Non-destructive prediction of enteric coating layer thickness and drug dissolution rate by near-infrared spectroscopy and X-ray computed tomography. Int J Pharm. 2017;525:282–90. https://doi.org/10.1016/j.ijpharm.2017.04.017. Hattori Y, Sugata M, Kamata H, Nagata M, Nagato T, Hasegawa K, Otsuka M. Real-time monitoring of the tablet-coating process by near-infrared spectroscopy - effects of coating polymer concentrations on pharmaceutical properties of tablets. J Drug Del Sci Techn. 2018;46:111–21. https://doi.org/10.1016/j.jddst.2018.04.018. Barimani S, Kleinebudde P. Evaluation of in-line Raman data for end-point determination of a coating process: comparison of science-based calibration, PLS-regression and univariate data analysis. Eur J Pharm Biopharm. 2017;119:28–35. https://doi.org/10.1016/j.ejpb.2017.05.011. Kim B, Woo YA. Coating process optimization through in-line monitoring for coating weight gain using Raman spectroscopy and design of experiments. J Pharm Biomed Anal. 2018;154:278–84. https://doi.org/10.1016/j.jpba.2018.03.001. May RK, Evans MJ, Zhong S, Warr I, Gladden LF, Shen Y, Zeitler JA. Terahertz in-line sensor for direct coating thickness measurement of individual tablets during film coating in real-time. J Pharm Sci. 2011;100:1535–44. https://doi.org/10.1002/jps.22359. Haaser M, Naelapää K, Gordon KC, Pepper M, Rantanen J, Strachan CJ, Taday PF, Zeitler JA, Rades T. Evaluating the effect of coating equipment on tablet film quality using terahertz pulsed imaging. Eur J Pharm Biopharm. 2013;85:1095–102. https://doi.org/10.1016/j.ejpb.2013.03.019. Lin H, Zhang Z, Markl D, Zeitler JA, Shen Y. A review of the applications of OCT for analysing pharmaceutical film coatings. Appl Sci. 2018;8:2700. https://doi.org/10.3390/app8122700. Sacher S, Wahl P, Weißensteiner M, Wolfgang M, Pokhilchuk Y, Looser B, Thies J, Raffa A, Khinast JG. Shedding light on coatings: real-time monitoring of coating quality at industrial scale. Int J Pharm. 2019;566:57–66. https://doi.org/10.1016/j.ijpharm.2019.05.048. Lin H, Dong Y, Markl D, Williams BM, Zheng Y, Shen Y, Zeitler JA. Measurement of the intertablet coating uniformity of a pharmaceutical pan coating process with combined terahertz and optical coherence tomography in-line sensing. J Pharm Sci. 2017;106:1075–84. https://doi.org/10.1016/j.xphs.2016.12.012. Suzzi D, Radl S, Khinast JG. Local analysis of the tablet coating process: impact of operation conditions on film quality. Chem Eng Sci. 2010;65:5699–715. https://doi.org/10.1016/j.ces.2010.07.007. Denis C, Hemati M, Chulia D, Lanne JY, Buisson B, Daste G, Elbaz F. A model of surface renewal with application to the coating of pharmaceutical tablets in rotary drums. Powd Techn. 2003;130:174–80. https://doi.org/10.1016/S0032-5910(02)00262-0. United States Food and Drug Administration, CDER. Guidance for industry, PAT—a framework for innovative pharmaceutical development, manufacturing, and quality assurance. Rockville, 2004. Borchert SO, Voss T, Schuetzmeier F, Paul J, Cornelissen G, Luttmann R. Development and monitoring of an integrated bioprocess for production of a potential malaria vaccine with Pichia pastoris. J Proc Control. 2015;35:113–26. https://doi.org/10.1016/j.jprocont.2015.08.006. Dumarey M, Hermanto M, Airiau C, Shapland P, Robinson H, Hamilton P, Berry M. Advances in continuous active pharmaceutical ingredient (API) manufacturing: real-time monitoring using multivariate tools. J Pharm Innov. 2019;14:359–72. https://doi.org/10.1007/s12247-018-9348-7. Silva AF, Vercruysse J, Vervaet C, Remon JP, Lopes JA, De Beer T, Sarraguça MC. In-depth evaluation of data collected during a continuous pharmaceutical manufacturing process: a multivariate statistical process monitoring approach. J Pharm Sci. 2019;108:439–50. https://doi.org/10.1016/j.xphs.2018.07.033. Skibsted ETS, Boelens HFM, Westerhuis JA, Witte DT, Smilde AK. Simple assessment of homogeneity in pharmaceutical mixing processes using a near-infrared reflectance probe and control charts. J Pharm Biomed Anal. 2006;41:26–35. https://doi.org/10.1016/j.jpba.2005.10.009. Lin H, Lennox B, Marjanovic O. Application of end-point control and trajectory tracking to batch processes. IFAC Proc. 2010;43:407–12. https://doi.org/10.3182/20100707-3-BE-2012.0051. Wolfgang M, Peter A, Wahl P, Markl D, Zeitler JA, Khinast JG. At-line validation of optical coherence tomography as in-line/at-line coating thickness measurement method. Int J Pharm. 2019;572:118766. https://doi.org/10.1016/j.ijpharm.2019.118766. Yu LX. Pharmaceutical quality by design: product and process development, understanding, and control. Pharm Res. 2008;25:781–91. https://doi.org/10.1007/s11095-007-9511-1. Ball D, Blanchard J, Jacobson-Kram D, McClellan RO, McGovern T, Norwood DL, Vogel WM, Wolff R, Nagao L. Development of safety qualification thresholds and their use in orally inhaled and nasal drug product evaluation. Toxic Sci. 2007;97:226–36. https://doi.org/10.1093/toxsci/kfm058. Zane P, Gieschen H, Kersten E, Mathias N, Ollier C, Johansson P, Van den Bergh A, Van Hemelryck S, Reichel A, Rotgeri A, Schäfer K, Müllertz A, Langguth P. In vivo models and decision trees for formulation development in early drug development: a review of current practices and recommendations for biopharmaceutical development. Eur J Pharm Biopharm. 2019;142:222–31. https://doi.org/10.1016/j.ejpb.2019.06.010. Montgomery DC. Introduction to statistical quality control. 6th ed. John Wiley & Sons, Inc. 2009. Wu H, Kahn M. Quality by design: process trajectory development for a dynamic pharmaceutical coprecipitation process based on an integrated real-time process monitoring strategy. In book: Comprehensive quality by design for pharmaceutical product development and manufacture. 2017. https://doi.org/10.1002/9781119356189.ch9. Rowe RC. Tablet-tablet contact and mutual rubbing within a coating drum - an important factor governing the properties and appearance of tablet film coatings. Int J Pharm. 1988;43:155–9. https://doi.org/10.1016/0378-5173(88)90070-1.