Title of article :
Formulating Self-Microemulsifying Drug Delivery Systems from Bay Leaves (Eugenia polyantha Wight) with Virgin Coconut Oil and Its AntiDiabetic Activity
Author/Authors :
Prihapsara, Fea Faculty of Mathematics and Natural Science - Sebelas Maret University, Surakarta, Central Java, Indonesia , Artanti, Anif Nur Faculty of Mathematics and Natural Science - Sebelas Maret University, Surakarta, Central Java, Indonesia , Harini, Marti Faculty of Mathematics and Natural Science - Sebelas Maret University, Surakarta, Central Java, Indonesia , Widiyani, Tetri Faculty of Mathematics and Natural Science - Sebelas Maret University, Surakarta, Central Java, Indonesia , Zuhra Nazilla, Syahnidar Faculty of Mathematics and Natural Science - Sebelas Maret University, Surakarta, Central Java, Indonesia , Widoninggar, Rengganis Faculty of Mathematics and Natural Science - Sebelas Maret University, Surakarta, Central Java, Indonesia
Abstract :
Insulin resistance is a pathological condition associated with the inability of target tissues to insulin
response. Bay leaf (Eugenia polyantha Wight) extract has been used for the treatment of insulin-resistant type-2
diabetes mellitus (IRDM), but it has low solubility and bioavailability. To overcome these problems, chloroform
extract of bay leaves was formulated into a self-micro emulsifying drug delivery system (SMEDDS) using
virgin coconut oil (VCO) as a carrier oil. This study aims to generate a micro-herbal medicine and to determine
the effect of a micro-herbal, derived from bay leaves, as an anti-IRDM agent. Homogeneous formulations were
evaluated for extract loading, emulsification time, size, size distribution, and the polydispersity index of the
nano-emulsion droplets. In addition, their anti-IRDM activities were investigated on insulin-resistant rats using
extracts, SMEDDS, metformin, negative control, and normal groups. Each group consisted of five randomly
selected male Wistar rats. Blood cholesterol levels were measured at 0, 80, and 95 days. Data were analyzed by
using ANOVA. The results showed that the optimum SMEDDS formula was tween 80: PEG 400: VCO
(48%:32%:20%) in a total volume of 5 mL. It has less than 1-minute emulsification time with an average 141.4
µm of droplet size and 0.254 of polydispersity index. Morphological observation revealed that the
microemulsion particles were spherical and stable in a variety of pH media. The hypoglycemic effects of singledose metformin, SMEDDS, and the combination of a half dose of SMEEDS with metformin were 28.3%,
15.6%, and 34.6%, respectively. The combination of a half dose of SMEDDS (91.75 mg/kg BW) and a half
dose of metformin (22.5 mg/kg BW) provides the best anti-diabetic activity of bay leaves micro-herbal.
Keywords :
ADMRI , antidiabetic , bay leaves , diabetic , SMEDDS , VCO
Journal title :
Iranian Journal of Pharmaceutical Sciences (IJPS)