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A low-cost, hands-on module to characterize antimicrobial compounds using an interdisciplinary, biophysical approach
- Source :
- PLoS Biology, Vol 13, Iss 1, p e1002044 (2015), PLoS Biology
- Publication Year :
- 2015
- Publisher :
- Public Library of Science (PLoS), 2015.
-
Abstract
- A cost-effective and resource-efficient hands-on educational module that uses an interdisciplinary approach to characterize antimicrobial compounds, combining microbiology experiments and a physics-based analytical model.<br />We have developed a hands-on experimental module that combines biology experiments with a physics-based analytical model in order to characterize antimicrobial compounds. To understand antibiotic resistance, participants perform a disc diffusion assay to test the antimicrobial activity of different compounds and then apply a diffusion-based analytical model to gain insights into the behavior of the active antimicrobial component. In our experience, this module was robust, reproducible, and cost-effective, suggesting that it could be implemented in diverse settings such as undergraduate research, STEM (science, technology, engineering, and math) camps, school programs, and laboratory training workshops. By providing valuable interdisciplinary research experience in science outreach and education initiatives, this module addresses the paucity of structured training or education programs that integrate diverse scientific fields. Its low-cost requirements make it especially suitable for use in resource-limited settings.
- Subjects :
- General Immunology and Microbiology
business.industry
QH301-705.5
General Neuroscience
education
Diffusion assay
Antimicrobial
Microbiology
General Biochemistry, Genetics and Molecular Biology
Anti-Bacterial Agents
Biotechnology
Science outreach
Engineering management
Undergraduate research
Disk Diffusion Antimicrobial Tests
Community Page
Component (UML)
Drug Resistance, Bacterial
Escherichia coli
Or education
Humans
Biology (General)
General Agricultural and Biological Sciences
business
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 15457885 and 15449173
- Volume :
- 13
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS Biology
- Accession number :
- edsair.doi.dedup.....f016719dd56421ae7c9317053b07b278