Assay for Rapid Screening of Phytochemicals as Antimicrobial Agents
Ghosh Saurav1, Indranil Mukherjee1, Ashoke Ranjan Thakur2 & Shaon Ray Chaudhuri1 Show affiliations
- West Bengal University of Technology, India
- Techno India University, India
American Journal of Biochemistry and Biotechnology, Volume 9, Issue 1, pp. 8–11 · doi.org/10.3844/ajbbsp.2013.8.11
Abstract
The present study aims to develop a rapid method for antibiotic sensitivity detection and screening of natural products for antimicrobial activity. The dimension of WBC in blood film was found to get altered when seeded with bacteria and monitored under light microscope. The shrinkage was prevented in response to antibiotic treatment and validated using statistical analysis (two sample one tailed Z test). Thus here is a prompt (4 h) assay system for detection of blood infection, antibiotic sensitivity detection as well as natural antimicrobial candidate molecule screening using identical procedure. The antimicrobial activity of ethanolic leaf extract of Mentha spicata against multidrug resistant Pseudomonas auregenosa from clinical origin was screened using both conventional disc diffusion method and the rapid shrinkage method. Both the methods showed equal efficiency with the later being much faster (4 h) than the conventional method (72 h).
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
Saurav, G., Mukherjee, I., Thakur, A. R. & Chaudhuri, S. R. (2013). Assay for Rapid Screening of Phytochemicals as Antimicrobial Agents. American Journal of Biochemistry and Biotechnology, 9(1), 8–11. https://doi.org/10.3844/ajbbsp.2013.8.11
- Licence
- CC BY 3.0
- Issue
- Volume 9, Issue 1
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
