RSM-Based Optimization of Dose Response and Antibacterial Potential of Cannabis sativa (L.) Leaves Using Computational Analysis

Abstract Background: In light of the growing problem of antibiotic resistance, it is imperative to investigate new sources, and plants offer a promising supply of bioactive chemicals. Because of its numerous uses in industry, health, and nutrition as well as its antibacterial qualities, Cannabis sativa (C.sativa) has garnered a lot of study interest. This study sought to determine whether ethanolic extracts from C.sativa leaves have antibacterial properties against six human pathogenic microorganisms. Methodology: The antibacterial activity of C.sativa ethanolic extract