A major issue with nutrition and health is obesity. Many synthetically produced slimming medications that can have serious negative effects have been consumed by people. The purpose of this research is to determine the best formulation with the the Simplex Lattice Design (SLD) method. As a result, a solution to this problem is development of gummy products for a low-calorie diet program using natural ingredients from Bastard cedar leaves (Guazuma ulmifolia) as an antihyperlipidemic. Senna leaves (Cassia Angustifolia) contain anthraquinones, which act as laxatives and senosides in the intestines, increasing the volume of digestive products and increasing intestinal peristalsis. The test results parameters: pH, viscosity, organoleptic, weight uniformity, and texture. The following results were obtained: (a) the pH test revealed that the pH value of gummy candies was in the range of 4.26-4.57; (b) the viscosity test revealed that the viscosity value of the gummy preparations was in the range of 1-5; (c) the organoleptic examinations included color, shape, taste, smell, and texture; (d) the evaluation results of this weight uniformity test met the requirements; (e) According to the requirements, hardness subtests F1 to F7 are performed. The texture test results concluded that the addition of xanthan gum in various variations affected the hardness, gumminess and chewiness of the preparation. The SLD method was used to analyze all of the tests. The formula yielded three best solutions, the best of which was the first formulation with a desirability of 0,728.
In this study, self-emulsifying method was applied to formulate the Centella asiatica L. urban extract
(CeCa). The presence of groups in the extract was established on the basis of FTIR-ATR spectra using
a chemometric approach. Further, the super saturable-CeCa-self micro emulsifying (SS-CeCa-SME)
extracts were formulated using an oleic acid carrier oil, Tween 80 as surfactant and propylene glycol
as co-surfactant with nine variations of component concentration. The FTIR-ATR spectra obtained
were evaluated using a chemometric approach. The chemometric analysis method uses principal
component analysis (PCA) and cluster analysis (CA). The score plot provides precise classification
results by forming three large groups. The results were obtained to become a reference in the
optimization process and further development of pharmaceutical preparations.
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