2015
DOI: 10.1208/s12249-015-0345-6
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A Quality by Experimental Design Approach to Assess the Effect of Formulation and Process Variables on the Extrusion and Spheronization of Drug-Loaded Pellets Containing Polyplasdone® XL-10

Abstract: Abstract. Successful pellet production has been reported in literature with cross-linked poly(vinylpyrrolidone), Polyplasdone ® XL-10 and INF-10. In the present study, a quality by experimental design approach was used to assess several formulation and process parameter effects on the characteristics of Polyplasdone ® XL-10 pellets, including pellet size, shape, yield, usable yield, friability, and number of fines. The hypothesis is that design of experiments and appropriate data analysis allow optimization of… Show more

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Cited by 10 publications
(2 citation statements)
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“…A more extended spheronization time with the lower spheronizer speed provides a suitable environment, resulting in an improved total yield of pellets. A more spheronization time at low spheronizer speed allows moist extrudate particles to aggregate with fine particles and decreases the loss of fine particles from the spheronizer [20]. Hardness, roundness, porosity, bulk densities, tapped densities, friability, flow rate and surface structure of the pellets were also influenced by a change in the spheronization speed [21].…”
Section: Spheronization Load Time and Speedmentioning
confidence: 99%
“…A more extended spheronization time with the lower spheronizer speed provides a suitable environment, resulting in an improved total yield of pellets. A more spheronization time at low spheronizer speed allows moist extrudate particles to aggregate with fine particles and decreases the loss of fine particles from the spheronizer [20]. Hardness, roundness, porosity, bulk densities, tapped densities, friability, flow rate and surface structure of the pellets were also influenced by a change in the spheronization speed [21].…”
Section: Spheronization Load Time and Speedmentioning
confidence: 99%
“…Data‐driven surrogates can represent the original physical models by building relationship between inputs and outputs (responses). For some complex systems, there are even no physical models available, and thus surrogates together with the design of experiments (DoEs) seem to be the only choice 5–7 . Surrogates are cheap‐to‐evaluate and can directly be employed for optimization, control, and design in many engineering fields, for example, chemical engineering, 8–11 pharmaceutical manufacturing, 12 supply chain management, 13,14 and aerospace engineering 15–17 …”
Section: Introductionmentioning
confidence: 99%