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Analyzing Synergistic Interactions Between Silver Nanoparticles and Antibiotics: Implications for Microbial Growth

Undergraduate #344
Discipline: Nanoscience
Subcategory: Nanoscience
Session: 2
Room: Exhibit Hall A

Nana Yaa P. Sakyi Opoku - Oakwood University
Co-Author(s): Tony Graham



The first line of defense against bacterial infections tend to be antibiotics. Although antibiotics have been proven effective in treating these types of infections, bacteria have the ability to develop resistance to these antibiotics. This results in 2 questions: Can a different version of antibiotics be made to combat already resistant bacteria? Can a new form of antibiotics be made which bacteria are unlikely to develop resistance to? The goal of this research is to provide an alternate to traditional antibiotics in the treatment of bacteria by introducing nanoparticles into the making of antibiotics. Silver nanoparticles are known to have intrinsic antimicrobial properties and are being studied as potential supplements or replacements for traditional antibiotic treatments. This study was conducted to investigate the synergy between silver nanoparticles and various antibiotics on the growth of the gram-negative bacteria Escherichia coli. Cultures were incubated in tryptic soy broth and Phosphate Buffered Saline with serially diluted concentrations of varied antibiotics and silver nanoparticles synthesized by sodium citrate reduction of silver nitrate. A checkerboard array was used. Using UV-Vis spectrophotometry the growth of bacteria was quantified after several hours. A well diffusion method was used to determine the potential antimicrobial abilities of the nanoparticles. Evidence of a synergistic interaction between silver nanoparticles and antibiotics was observed. This result albeit preliminary may aid in the development of new antibiotics and drug delivery methods.

Funder Acknowledgement(s): HBCU UP

Faculty Advisor: Dr. Kenneth LaiHing, slaihing@oakwood.edu

Role: Experimental design, Execution of the actual experiment. Data analysis.

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This material is based upon work supported by the National Science Foundation (NSF) under Grant No. DUE-1930047. Any opinions, findings, interpretations, conclusions or recommendations expressed in this material are those of its authors and do not represent the views of the AAAS Board of Directors, the Council of AAAS, AAAS’ membership or the National Science Foundation.

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