The applications of multivariate modeling techniques in continuous tablet manufacturing.

Model	Application	References
PLS, PCA	In the continuous powder blending and tableting process, the PCA model, as an exploratory data analysis tool, was used to explore the effects of experimental variables on PAT spectra. The PLS model was applied to predict the CQAs of the tablet	300
	In the CDC manufacturing process, the PCA model was applied to identify possible outliers or abnormalities. Transmission NIR spectroscopy, combined with the PLS model, was used to measure blending uniformity and detect tablet content uniformity	301
	In the CM line, the PLS model was performed to detect CQAs. The multivariate analysis model could be applied for process monitoring	302
	The PCA model was performed to analyze spectral data. The PLS model, which links spectral data to response variables of interest, was established. The developed multivariate models can be integrated into the online prediction tool	303
	Based on the PCA and PLS model, multivariate monitoring charts could monitor various units in the continuous manufacturing process	304
PLS/PCA, multiblock PCA/PLS	Various latent models were used to describe and monitor the time variables in the continuous twin-screw granulation and drying process. It can detect and diagnose deviations in the continuous manufacturing process	305
PCA, MLR	In the RTRT of the tablet, the multivariate model was developed to predict dissolution profiles in a CDC system. The NIR data were processed by the PCA model. Based on the NIR spectra, MLR could be applied to predict tablet dissolution behavior	204
PLS	Based on the calibration model, the powder density in a continuous line can be predicted	306
	The PLS model was developed to predict blending powder bulk density in the CDC manufacturing process based on the NIR data	283
	Using the NIR tool, the developed off-line PLS calibration model could monitor the continuous pharmaceutical manufacturing process's API concentration	307
	NIR spectroscopy as a PAT tool was used to measure API content combined with the PLS model	308
MLR	MLR models were built to explore the relationship between process conditions and response variables, such as flowability, ejection force, and tablet strength. Based on the model, a design space was developed for high-dose tablets in CM	309
PCA	The PCA model can extract concentration-related information from NIR spectral data	310