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The main idea of the proposed methodology is the utilization of experimental residence time distribution (RTD) measurements to (a) determine the contributions of feeding variability, powder segregation and RTD variability on output composition variance and (b) develop a predictive model of the output variance of a continuous mixer.
The sample that exhibited the highest variability (Powder B in Table 3) also had appreciable pre-fortification levels of CYA (approximately 0.05 mg kg−1), and correcting for this relatively high background concentration likely introduced additional error into the result.
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Therefore, real time monitoring of powder bulk density variability and its incorporation into the automatic control system so that its effect can be mitigated proactively and efficiently is highly desired.
The importance of understanding excipient variability in powder blending and its implication for blending homogeneity assessment is highlighted.
Based on the results we proposed a strategy of how to design minimal weight variability into powder-filled capsules.
This article explores the variability in austenitic stainless steel feed-stock powders and its effect upon low-pressure cold spray deposition.
Detailed characterization of these nanoparticles showed a smaller size than that specified by the manufacturer, indicating that batch-to-batch variability can occur in the manufacturing of powders of oxide nanoparticles.
High-temperature calcination of the supported Pt/Pd powder, before the slurry process, can further reduce this variability.
Therefore, this work aims at a better understanding of how changes in powder flow of binary blends can lead to weight variability in pharmaceutical capsule filling.
Even with advanced designs, however, delivery efficiency is still poor mainly due to powder dispersion problems which cause poor lung deposition and high dose variability.
The methodology and the results are reported using two ingredients (garlic and milk powder) illustrating the 'not detected' (censored data) issue and also the inter-ingredient variability.
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