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Updated: Oct 6, 2025

Fabrication of Compressed Hosiery and Measurement of its Pressure Characteristic Exerted on the Lower Limbs
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Continuous direct compression: Development of an empirical predictive model and challenges regarding PAT

B Bekaert1, B Van Snick2, K Pandelaere1

  • 1Laboratory of Pharmaceutical Technology, Department of Pharmaceutics, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent, Belgium.

International Journal of Pharmaceutics: X
|January 13, 2022
PubMed

Keywords:
#BP, Number of blade passes#RMB1, Number of radial mixing blades of the main blenderAPI, Active pharmaceutical ingredientAPI_sd, Spray dried APIBRT, Bulk residence timeBU, Blend uniformityCDC, Continuous direct compressionCDC-50CU, Content uniformityC_P, Caffeine anhydrous powderContinuous direct compressionContinuous manufacturingDCP, Dicalcium phosphate / Emcompress ANFD, Fill depthHM1/HM2, Hold-up mass main blender/Hold-up mass lubricant blenderImp1, Impeller speed main blenderLC, Percentage label claimMCF, Main compression forceMCH, Main compression heightMPT_μ, Metoprolol micronizedMgSt, Magnesium stearate/Ligamed MF-2-VMultivariate data-analysisNIR, Near infraredPATPAT, Process Analytical TechnologyPC, Principle componentPCA, Principle component analysisPCD, Pre-compression displacementPCF, Pre-compression forcePCH, Pre-compression heightPH101, Microcrystalline cellulose / Avicel PH-101PH200, Microcrystalline cellulose / Avicel PH-200PLS, Partial least squaresP_DP, Paracetamol dense powderP_P, Paracetamol powderP_μ, Paracetamol micronizedPredictive modelingQ2, Goodness of predictionR2Y, Goodness of fitRMSEcv, Root mean squared error of cross validationRSDTW, Relative standard deviation of tablet weightSD100, Mannitol / Pearlitol 100 SDT80, Lactose / Tablettose 80T_P, Theophylline anhydrous powderrpm, Revolutions per minuteσForce, Main compression force variabilityσPCD, Variability in pre-compression displacement

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