Citation
Abstract
Palm kernel oil esters nanoemulsion-loaded with chloramphenicol was optimized using response surface methodology (RSM), a multivariate statistical technique. Effect of independent variables (oil amount, lecithin amount and glycerol amount) toward response variables (particle size, polydispersity index, zeta potential and osmolality) were studied using central composite design (CCD). RSM analysis showed that the experimental data could be fitted into a second-order polynomial model. Chloramphenicol-loaded nanoemulsion was formulated by using high pressure homogenizer. The optimized chloramphenicol-loaded nanoemulsion response values for particle size, PDI, zeta potential and osmolality were 95.33nm, 0.238, -36.91mV, and 200mOsm/kg, respectively. The actual values of the formulated nanoemulsion were in good agreement with the predicted values obtained from RSM. The results showed that the optimized compositions have the potential to be used as a parenteral emulsion to cross blood-brain barrier (BBB) for meningitis treatment.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Medicine and Health Science Faculty of Science Institute of Bioscience |
| DOI Number: | https://doi.org/10.1016/j.colsurfb.2013.07.043. |
| Publisher: | Elsevier BV |
| Keywords: | Blood-brain barrier; Central composite design; Chloramphenicol; Meningitis; Nanoemulsion; Response surface methodology |
| Depositing User: | Nurul Ainie Mokhtar |
| Date Deposited: | 25 May 2015 01:24 |
| Last Modified: | 07 Oct 2015 01:15 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.colsurfb.2013.07.043. |
| URI: | http://psasir.upm.edu.my/id/eprint/29660 |
| Statistic Details: | View Download Statistic |
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