NIR spectroscopy has been extensively employed for the in-line monitoring of pharmaceutical processes as one of the key PAT implementation tools. Nevertheless, pharmaceutical processes such as fluid-bed coating have not fully made the most of the NIR in-line monitoring primarily due to a difficulty in handling random in-line spectra. In this study, novel approaches to develop a reasonable dynamic calibration model were proposed; averaging and clustering.
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