Uji Efek Tonikum Serbuk Nano Daun Matoa (Pometia pinnata J.R. Forst & G. Forst) pada Mencit Putih Jantan (Mus musculus)

Abstract

Background: Human activities in the modern era are increasing, so the need for stamina-enhancing drugs is also increasing. One of the medicinal plants that can be used by the community as a stamina enhancer/tonicum is matoa leaves (Pometia pinnata J.R. Forst & G. Forst) because matoa leaves contain flavonoid and alkaloid compounds that are thought to be efficacious as a tonic. The application of nano technology in the pharmaceutical field has various advantages, including increasing the solubility of compounds, reducing the dose of treatment and increasing absorption. Objective: The purpose of this study was to determine whether matoa leaf nano powder has a tonic effect on male white mice (Mus musculus), to determine the optimum dose that can provide a tonic effect, and to determine whether or not there is a significant difference in tonic effect between the rotarod method and the swimming (natatory exhaustion) method. Method: The method used is an experimental method with Pretest and Posttest Group Design. Using mice consisting of negative control with a dose of 0.5% CMC-Na, positive control with a dose of 13 mg/kgBB caffeine and 3 groups with doses of 150, 300, 450 mg/kgBB of matoa leaf nano powder. The tonic effect test was carried out by rotarod test and natatory exhaustion test, both of these tests looked at the length of time the mice survived before and after dosing. Results: The results showed that nano powder of matoa leaves had a tonic effect on mice through an increase in endurance time before and after treatment. The higher the dose, the higher the tonicum effect that appears on the experimental animals. Conclusion: Matoa leaf nano powder in both methods with doses of 150, 300, and 450 mg/kgBB can provide a tonic effect and a dose of 300 mg/kgBB provides the most optimal tonic effect. There is a significant difference in tonic effect between the rotarod method and the natatory exhaustion method with a probability result of 0.004.