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• W2896500488 abstract "An exploratory analysis of a large representative dataset obtained in a fluidized bed drying process of a pharmaceutical powder has revealed a significant correlation of spectral intensity with granulate humidity in the whole studied range of 1091.8-2106.5 nm. This effect was explained by the dependence of powder refractive properties, and hence light penetration depth, on the water content. The phenomenon exhibited a close spectral similarity to the well-known stochastic variation of spectral intensities caused by the process turbulence (the so-called scatter effect). Therefore, any traditional scatter-corrective preprocessing incidentally eliminates moisture-correlated variance from the data. To preserve this additional information for a more precise moisture calibration, a time-domain averaging of spectral variables has been suggested. Its application resulted in a distinct improvement of prediction accuracy, as compared to the scatter-corrected data. Further improvement of the model performance was achieved by the application of a dynamic focusing strategy when adjusting the model to a drying process stage. Probe fouling was shown to have a minor effect on prediction accuracy. The study resulted in a considerable reduction of the root-mean-square error of in-line moisture monitoring to 0.1%, which is close to the reference method's reproducibility and significantly better than previously reported results." @default.
• W2896500488 created "2018-10-26" @default.
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• W2896500488 date "2018-10-10" @default.
• W2896500488 modified "2023-09-29" @default.
• W2896500488 title "Accuracy Improvement of In-line Near-Infrared Spectroscopic Moisture Monitoring in a Fluidized Bed Drying Process" @default.
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• W2896500488 doi "https://doi.org/10.3389/fchem.2018.00388" @default.
• W2896500488 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6192013" @default.
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• W2896500488 hasPublicationYear "2018" @default.
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