RSM-Based Optimization of Dose Response and Antibacterial Potential of <i>Cannabis sativa</i> (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 was tested against six bacteria according to design of experiments made by Agar diffusion method accompanied by response surface method (RSM) of Minitab 17 software. The different combination

SUBMITTER: Zahid S 

PROVIDER: S-EPMC12657851 | biostudies-literature | 2025 Oct-Dec

REPOSITORIES: biostudies-literature