2020
DOI: 10.1002/pi.5974
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Factorial design optimization of polystyrene microspheres obtained by aqueous dispersion polymerization in the presence of poly(2‐ethyl‐2‐oxazoline) reactive stabilizer

Abstract: The present study highlights the use of statistical design to establish an effective model for the synthesis of polystyrene microspheres by aqueous dispersion polymerization using poly(2-ethyl-2-oxazoline) reactive stabilizer. The significant parameters (e.g. solvent polarity, stabilizer and initiator concentration) influencing the characteristic responses of the process such as yield, particle size and size distribution, as well as the interactions between the variables, were identified. The macromonomer conc… Show more

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Cited by 3 publications
(3 citation statements)
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“…The Y axis represents the t-value effect of the factors. The t-value relates to the effect of each factor on each response, where the higher the value is, the more significant a factor is to the response; in this case, the size [ 3 ]. If a factor has a t-value effect above the t-value limit, it is a significant effect, while if below, it is insignificant [ 32 ].…”
Section: Resultsmentioning
confidence: 99%
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“…The Y axis represents the t-value effect of the factors. The t-value relates to the effect of each factor on each response, where the higher the value is, the more significant a factor is to the response; in this case, the size [ 3 ]. If a factor has a t-value effect above the t-value limit, it is a significant effect, while if below, it is insignificant [ 32 ].…”
Section: Resultsmentioning
confidence: 99%
“…The systems were kept at 37 • C with orbital agitation. At regular periods (0, 0.25, 1,3,6,24,48,72,144,192,240, and 312 h (h)), 2 mL of the PBS was retrieved and replaced with fresh PBS. The 2 mL were then analyzed by UV-VIS spectroscopy to determine the concentration of MB at each time.…”
Section: In Vitro Drug Releasementioning
confidence: 99%
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