Abstract
Purpose
With the promulgation of industry guidelines, near infrared spectroscopy (NIRS) monitoring the uniformity of solid oral preparations has become one of the most reported studies. The purpose of the present study is to develop a near infrared (NIR) method for the in-line assessment of the active pharmaceutical ingredient (API) content in the fluidized bed mixing process, as well as to introduce a portable NIR sensor to monitor the fluidized bed production visually.
Methods
A portable NIR sensor was used to monitor the content of the API in the fluidized bed mixing process. An experimental fluidized bed was performed and the corresponding NIR spectra were collected in-line. The spectrum selection method of cosine distance for in-line spectra was performed, and four wavelength optimization methods were compared to improve the accuracy of the model.
Results
Throughout the mixing process, the content uniformity of the API was a critical quality attribute (CQA). The partial least squares regression (PLSR) quantitative model of API content was established. The results showed that the cosine distance combined with the multi-variable selection methods (CC, VIP, RATC, and UVE) could obtain more useful information than the single method. The root mean square error of cross validation (RMSECV) and root mean square error of prediction (RMSEP) values of the optimal PLSR model were 1.8588% and 1.5296%, respectively.
Conclusion
Based on the results obtained, this study could be used as a reference for the pilot of in-line monitoring of miniature NIR sensors and the connection of key process parameters to realize intelligent production of solid preparations.
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Data Availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Acknowledgements
The authors are grateful for the supply of the fluidized bed of SMA Pharmatech Co., Ltd. (Zibo, China).
Funding
This work was supported by the National Key Research and Development Program of China (2019YFC1711200), the Major Innovation Project of Shandong Province (2018CXGC1405), Fundamental Research Funds of Shandong University (2019GN092) and Future Scholar Program of Shandong University.
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Zhang, K., Wang, H., Zhong, L. et al. Evaluation and Monitoring of the API Content of a Portable Near Infrared Instrument Combined with Chemometrics Based on Fluidized Bed Mixing Process. J Pharm Innov 17, 1136–1147 (2022). https://doi.org/10.1007/s12247-021-09581-2
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DOI: https://doi.org/10.1007/s12247-021-09581-2