Formulation optimization of palm kernel oil esters nanoemulsion-loaded with chloramphenicol suitable for meningitis treatment

Siti Hajar Musa, Mahiran Basri, Hamid Reza Fard Masoumi, Roghayeh Abedi Karjiban, Emilia Abd Malek, Hamidon Basri, Ahmad Fuad Shamsuddin

Research output: Contribution to journalArticle

46 Citations (Scopus)

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 95.33. nm, 0.238, -36.91. mV, and 200. mOsm/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.

Original languageEnglish
Pages (from-to)113-119
Number of pages7
JournalColloids and Surfaces B: Biointerfaces
Volume112
DOIs
Publication statusPublished - 1 Dec 2013

Fingerprint

meningitis
Palm oil
Chloramphenicol
Zeta potential
Meningitis
esters
Esters
oils
Particle size
Lecithin
Particle Size
formulations
Osmolar Concentration
optimization
Surface analysis
Polydispersity
Glycerol
Emulsions
methodology
Lecithins

Keywords

  • Blood-brain barrier (BBB)
  • Central composite design (CCD)
  • Chloramphenicol
  • Meningitis
  • Nanoemulsion
  • Response surface methodology (RSM)

ASJC Scopus subject areas

  • Biotechnology
  • Colloid and Surface Chemistry
  • Physical and Theoretical Chemistry
  • Surfaces and Interfaces

Cite this

Formulation optimization of palm kernel oil esters nanoemulsion-loaded with chloramphenicol suitable for meningitis treatment. / Musa, Siti Hajar; Basri, Mahiran; Masoumi, Hamid Reza Fard; Karjiban, Roghayeh Abedi; Malek, Emilia Abd; Basri, Hamidon; Shamsuddin, Ahmad Fuad.

In: Colloids and Surfaces B: Biointerfaces, Vol. 112, 01.12.2013, p. 113-119.

Research output: Contribution to journalArticle

Musa, Siti Hajar ; Basri, Mahiran ; Masoumi, Hamid Reza Fard ; Karjiban, Roghayeh Abedi ; Malek, Emilia Abd ; Basri, Hamidon ; Shamsuddin, Ahmad Fuad. / Formulation optimization of palm kernel oil esters nanoemulsion-loaded with chloramphenicol suitable for meningitis treatment. In: Colloids and Surfaces B: Biointerfaces. 2013 ; Vol. 112. pp. 113-119.
@article{aedfb2827a2542d898975ed2c7732988,
title = "Formulation optimization of palm kernel oil esters nanoemulsion-loaded with chloramphenicol suitable for meningitis treatment",
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 95.33. nm, 0.238, -36.91. mV, and 200. mOsm/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.",
keywords = "Blood-brain barrier (BBB), Central composite design (CCD), Chloramphenicol, Meningitis, Nanoemulsion, Response surface methodology (RSM)",
author = "Musa, {Siti Hajar} and Mahiran Basri and Masoumi, {Hamid Reza Fard} and Karjiban, {Roghayeh Abedi} and Malek, {Emilia Abd} and Hamidon Basri and Shamsuddin, {Ahmad Fuad}",
year = "2013",
month = "12",
day = "1",
doi = "10.1016/j.colsurfb.2013.07.043",
language = "English",
volume = "112",
pages = "113--119",
journal = "Colloids and Surfaces B: Biointerfaces",
issn = "0927-7765",
publisher = "Elsevier",

}

TY - JOUR

T1 - Formulation optimization of palm kernel oil esters nanoemulsion-loaded with chloramphenicol suitable for meningitis treatment

AU - Musa, Siti Hajar

AU - Basri, Mahiran

AU - Masoumi, Hamid Reza Fard

AU - Karjiban, Roghayeh Abedi

AU - Malek, Emilia Abd

AU - Basri, Hamidon

AU - Shamsuddin, Ahmad Fuad

PY - 2013/12/1

Y1 - 2013/12/1

N2 - 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 95.33. nm, 0.238, -36.91. mV, and 200. mOsm/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.

AB - 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 95.33. nm, 0.238, -36.91. mV, and 200. mOsm/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.

KW - Blood-brain barrier (BBB)

KW - Central composite design (CCD)

KW - Chloramphenicol

KW - Meningitis

KW - Nanoemulsion

KW - Response surface methodology (RSM)

UR - http://www.scopus.com/inward/record.url?scp=84883170322&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883170322&partnerID=8YFLogxK

U2 - 10.1016/j.colsurfb.2013.07.043

DO - 10.1016/j.colsurfb.2013.07.043

M3 - Article

C2 - 23974000

AN - SCOPUS:84883170322

VL - 112

SP - 113

EP - 119

JO - Colloids and Surfaces B: Biointerfaces

JF - Colloids and Surfaces B: Biointerfaces

SN - 0927-7765

ER -