2018
DOI: 10.1016/j.ijpharm.2017.12.040
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Real-time process monitoring in a semi-continuous fluid-bed dryer – microwave resonance technology versus near-infrared spectroscopy

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Cited by 22 publications
(6 citation statements)
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“…They analyzed the obtained data by MLR and PLS as a quantitative calibration model, confirming the difference between the two instruments. Unlike with previous NIRS devices, monitoring large amounts of moisture by MRT was difficult, indicating that the NIRS equipment is suitable for continuous process monitoring and control [ 247 ]. Furthermore, Figure 3 shows that PAT using NIR could be utilized for a control strategy determining the endpoint of fluidized drying process [ 248 ].…”
Section: Application Of Pat Framework For Control Strategy Of the Unit Operationsmentioning
confidence: 99%
“…They analyzed the obtained data by MLR and PLS as a quantitative calibration model, confirming the difference between the two instruments. Unlike with previous NIRS devices, monitoring large amounts of moisture by MRT was difficult, indicating that the NIRS equipment is suitable for continuous process monitoring and control [ 247 ]. Furthermore, Figure 3 shows that PAT using NIR could be utilized for a control strategy determining the endpoint of fluidized drying process [ 248 ].…”
Section: Application Of Pat Framework For Control Strategy Of the Unit Operationsmentioning
confidence: 99%
“…Peters et al [106][107][108][109][110] developed a multi resonance microwave sensor, and carried out a series of laboratory and pilot scale-up studies, which could be used in the production of specific drugs (donepezil hydrochloride). Samples with different process parameters were used to establish a satisfactory moisture prediction model.…”
Section: Microwave Resonance Technologymentioning
confidence: 99%
“…As shown here and also described in literature, the residual water content is of high impact for further processing of granules and therefore can be also considered as a cMA. Different papers describe model-based approaches to predict and control the residual water content for continuous fluid bed drying processes [31,33,83,93].Within this thesis a simple drying capacity parameter is presented to estimate dryer performance at different equipment scales (see chapter 7.4).…”
Section: Summary and Qbd Learningmentioning
confidence: 99%