Poly-herbal tablet formulation by design expert tool and in vitro anti-lipase activity

Abstract

Background Traditional medicine being ethnic is preferred worldwide even in these modern days. Obesity is a lifestyle disorder. Many chemically synthesized medicines are available. Poly-herbal medicines can be one of the safest alternatives with less side effects in treating obese patients. Results The in vitro anti-lipase activity was carried out for a different concentration. The formulation of the poly-herbal tablets was designed using the Design Expert software. The pre-compression and post-compression studies show that the formulation F6 showed better results of all the formulations designed. Stability study results showed that the poly-herbal tablets were stable throughout the studies. Conclusion The results show that F6 is the better formulation based on the tablet evaluation, and all the extracts showed inhibitory activity against pancreatic lipase indicating its active role in the treatment of obesity.

D-optimal mixture design optimized solid formulation containing fruits extracts of Momordica charantia and Abelmoschus esculentus

“…Since, in formulation development, the responses of interest are a function of the composition of the mixture, With D-optimal mixture design, the interactions of the mixture's composition could be modeled, graphically or mathematically, to reveal regions of desirable formulation compositions that meet the product's quality criteria. Our findings that the D-optimal mixture approach provides a model that adequately predicted the optimal design space are similar to those reported in other studies [37][38][39]58].…”

“…The D-optimal mixture design is the most popular response surface methodology used in formulation studies [37][38][39]. It investigates the main effects and interaction effects between the independent variables of the experiment on the responses.…”

“…Thus, it requires a rigorous approach to select excipients that could improve the extract's unfavorable physicochemical properties such as hygroscopicity and stickiness to meet the predetermined product's critical quality attributes (CQAs). In recent years, response surface methodology (RSM) utilizing D-optimal mixture design has emerged as the preferred statistical formulation approach for analyzing the interrelations between mixture composition and CQAs [37][38][39]. The popularity of this statistical approach could be due to its reliability in reducing the time and cost of identifying desirable formulation compositions that meet the product's quality criteria [40].…”

Synergistic effects of Momordica charantia, Nigella sativa, and Anethum graveolens on metabolic syndrome targets: In vitro enzyme inhibition and in silico analyses

“…In this research, we have selected Nigella sativa (seed), Momordica charantia (fruit), and Anethum graveolens L (fruit) for their established use in MetS management. We prepared a polyherbal formulation using a Three-factor, 2-level factorial design, with varying concentrations of the selected herbs as followed by the previous literature [ 16 , 17 ]. This paper elucidates the mode of action of these formulations in inhibiting PNLIP, GAA, and HMGCR, as assessed by in vitro assays and in silico molecular docking and dynamics studies.…”