↓ Skip to main content

Ultrasonic emulsification of parenteral valproic acid-loaded nanoemulsion with response surface methodology and evaluation of its stability

Overview of attention for article published in Ultrasonics Sonochemistry, September 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
135 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Ultrasonic emulsification of parenteral valproic acid-loaded nanoemulsion with response surface methodology and evaluation of its stability
Published in
Ultrasonics Sonochemistry, September 2015
DOI 10.1016/j.ultsonch.2015.09.015
Pubmed ID
Authors

Suk Fei Tan, Hamid Reza Fard Masoumi, Roghayeh Abedi Karjiban, Johnson Stanslas, Brian P. Kirby, Mahiran Basri, Hamidon Bin Basri

Abstract

Response surface methodology (RSM) was used to optimize the formulation of a nanoemulsion for central delivery following parenteral administration. A mixture of medium-chain triglyceride (MCT) and safflower seed oil (SSO) was determined as a sole phase from the emulsification properties. Similarly, a natural surfactant (lecithin) and non-ionic surfactant (Tween 80) (ratio 1:2) were used in the formulation. A central composite design (CCD) with three-factor at five-levels was used to optimize the processing method of high energy ultrasonicator. Effects of pre-sonication ultrasonic intensity (A), sonication time (B), and temperature (C) were studied on the preparation of nanoemulsion loaded with valproic acid. Influence of the aforementioned specifically the effects of the ultrasonic processing parameters on droplet size and polydispersity index were investigated. From the analysis, it was found that the interaction between ultrasonic intensity and sonication time was the most influential factor on the droplet size of nanoemulsion formulated. Ultrasonic intensity (A) significantly affects the polydispersity index value. With this optimization method, a favorable droplet size of a nanoemulsion with reasonable polydispersity index was able to be formulated within a short sonication time. A valproic acid loaded nanoemulsion can be obtained with 60% power intensity for 15min at 60°C. Droplet size of 43.21±0.11nm with polydispersity index of 0.211 were produced. The drug content was then increased to 1.5%. Stability study of nanoemulsion containing 1.5% of valproic acid had a good stability as there are no significant changes in physicochemical aspects such as droplet size and polydispersity index. With the characteristisation study of pH, viscosity, transmission electron microscope (TEM) and stability assessment study the formulated nanoemulsion has the potential to penetrate blood-brain barrier in the treatment of epilepsy.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 1%
Indonesia 1 <1%
India 1 <1%
Peru 1 <1%
Unknown 130 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 14%
Student > Ph. D. Student 19 14%
Researcher 13 10%
Student > Bachelor 13 10%
Student > Postgraduate 8 6%
Other 23 17%
Unknown 40 30%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 16 12%
Medicine and Dentistry 15 11%
Agricultural and Biological Sciences 14 10%
Chemistry 13 10%
Chemical Engineering 8 6%
Other 23 17%
Unknown 46 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 November 2015.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Ultrasonics Sonochemistry
#903
of 1,394 outputs
Outputs of similar age
#210,121
of 286,825 outputs
Outputs of similar age from Ultrasonics Sonochemistry
#12
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,394 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.