Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Development and Optimization of Nanoemulsion from Ethanolic Extract of Centella asiatica (NanoSECA) Using D-Optimal Mixture Design to Improve Blood-Brain Barrier Permeability

Nor Atiqah Jusril; Syahrul Imran Abu Bakar; Khalilah Abdul Khalil; Wan Mazlina Md Saad; Kwok Wen Ng; Mohd Ilham Adenan

Evidence-based Complementary and Alternative Medicine · 2022

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Summary

This laboratory study describes the development and optimisation of a nanoemulsion formulation derived from ethanolic extract of Centella asiatica (NanoSECA) using D-optimal mixture design methodology. The authors employed statistical experimental design to identify optimal ratios of formulation excipients that enhance biopharmaceutical properties and blood-brain barrier permeability. The work contributes to phytopharmaceutical nanotechnology research, with potential application to improving cerebral bioavailability of traditionally used botanical extracts.

UK applicability

This laboratory formulation research has limited direct applicability to UK farming or food systems policy. However, findings may inform future development of phytopharmaceutical delivery systems for cognitive health applications in the UK nutraceutical and pharmaceutical sectors.

Key measures

Nanoemulsion particle size, zeta potential, encapsulation efficiency, in vitro blood-brain barrier permeability, formulation composition ratios

Outcomes reported

The study reports the optimised nanoemulsion formulation parameters of ethanolic Centella asiatica extract achieved through D-optimal mixture design. The work measured biopharmaceutical properties and permeability characteristics relevant to blood-brain barrier penetration.

Theme
Nutrition & health
Subject
Food processing & bioavailability
Study type
Research
Study design
Laboratory experimental study with statistical design optimisation
Source type
Peer-reviewed study
Status
Published
Geography
Malaysia
System type
Laboratory / in vitro
DOI
10.1155/2022/3483511
Catalogue ID
NRmo9rin9c-0gl

Topic tags

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