Antibacterial activity of Cannabis sativus against isolated bacterial strains
Keywords:
Cannabis sativa, Antibacterial activityAbstract
Objectives: The current research was carried out to check the antimicrobial activity of Cannabis sativa leaf from Kotli, Azad Jammu and Kashmir against the Staphylococcus aureus and E. coli to check their sensitivity. Bacteria from clinical and non-clinical sources are getting resistant with time to the presently used antibiotics.
Methodology: The young plant cannabis leaves were collected from District Kotli, Azad Kashmir. The collected leaves were washed by using distilled water to remove debris and dust particles and then dried. A Triplet of each extract was used against each bacterium to check their antimicrobial potency. According to the Mean Zones of inhibition, the ethanol extract of Cannabis leaf showed high antimicrobial activity against both microbes. The data collected were analyzed using SPSS statistics 21 whereby; ANOVA (one way) was carried out to show statistical difference using the various zones of inhibition between the test microbes (Staphylococcus aureus and E. coli) exposed to cannabis plant leaf extract with the level of significance less than 0.05% considered significance.
Results: The Ethanol extract showed 31 mm activity against E. coli and 31 mm against Staphylococcus aureus, Acetone Extract of cannabis leaf showed 28.67 mm against E. coli and 25.67 mm against Staphylococcus aureus while the chloroform cannabis leaf extract showed 20.67 mm activity against both the bacteria.
The Mean zone of inhibition of Cannabis Extracts against E. coli are 30.67 ± 0.333 of ethanol, 28.67 ± 0.333 of acetone, 20.67 ± 0.333 of chloroform while the mean zone of inhibition of Cannabis Extracts against Staphylococcus aureus are 30.67 ± 0.333 of ethanol, 25.67 ± 0.333 of acetone, 20.67 ± 0.333 of chloroform.
Conclusion: It is concluded that this high potency of antimicrobial activity can be used against the microbes by using its active property in drug development.
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Copyright (c) 2023 Muhammad Saif ur Rehman, Muhammad Saeed, Sabreen Qayyum, Komal Razzaq, Muhammad Ansar, Taimoor Haider Shah, Akhlaaq Wazeer
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.