2014
DOI: 10.3109/10717544.2014.885999
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Optimization of artemether-loaded NLC for intranasal delivery using central composite design

Abstract: The objective of the study was to optimize artemether-loaded nanostructured lipid carriers (ARM-NLC) for intranasal delivery using central composite design. ARM-NLC was prepared by microemulsion method with optimized formulation having particle size of 123.4 nm and zeta potential of À34.4 mV. Differential scanning calorimetry and powder X-ray diffraction studies confirmed that drug existed in amorphous form in NLC formulation. In vitro cytotoxicity assay using SVG p12 cell line and nasal histopathological stud… Show more

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Cited by 126 publications
(78 citation statements)
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“…While 83.53% of loaded 25.19% (amount of drug entrapped in NLC) was considered to be the maintenance dose (towards sustained delivery). Further, the desired polynomial equations, showed a good fit of responses at different concentrations (table 6), thereby supporting the significance of the said model [29].…”
Section: Effect Of Dependent Variables On Responsessupporting
confidence: 65%
See 1 more Smart Citation
“…While 83.53% of loaded 25.19% (amount of drug entrapped in NLC) was considered to be the maintenance dose (towards sustained delivery). Further, the desired polynomial equations, showed a good fit of responses at different concentrations (table 6), thereby supporting the significance of the said model [29].…”
Section: Effect Of Dependent Variables On Responsessupporting
confidence: 65%
“…) as independent variables, while levels-1 and+1 were chosen as low and high, whereas 0 was chosen as the centre point [29]. .…”
Section: Effect Of Dependent Variables On Responsesmentioning
confidence: 99%
“…The heating and cooling rates were 10 C/min and 150 C/min, respectively. All thermal measurements were performed over 40-400 C under a nitrogen purge of 50 ml/min (Sood et al, 2013;Jain et al, 2014).…”
Section: Differential Scanning Calorimetrymentioning
confidence: 99%
“…It was developed by Box and Wilson using RSM 17. It is the most commonly used optimization method with the multi-advantages of fewer test, high precision and predictability.…”
Section: Methodsmentioning
confidence: 99%