| | Category | PH | P28 | Effects of Sterilization using One Atmosphere Cold Plasma |
| | Abstract | The basis of this study was to analyze the sterilizing effects of cold |
| | plasma in non-pathogenic bacteria. Plasma is very similar to a gas, and is |
| | naturally created during storms when lightning strips the electrons off |
| | atoms at extremely high temperatures. Another way of creating plasma is |
| | with an enormous flux. Flux is the change in magnetic field, and a large |
| | enough flux can influence any charged particle, even electrons. By |
| | generating a large flux, the electrons from atoms in the air can be stripped |
| | off, thus creating a cold plasma. This can be done with a 24 volt DC power |
| | source and a circuit which converts it to 15,000 hertz AC. Next, the |
| | voltage must be stepped up to several thousand volts and run through a |
| | wire. While in the wire, this high voltage, high frequency current emits a |
| | flux which is strong enough to strip the electrons off nearby air particles. |
| | To test the sterilization effects of the plasma, two strains of non- |
| | pathogenic bacteria, Micrococcus luteus and Escherichia coli strain K12, |
| | were exposed to the plasma. Next, the growth of each bacteria strain |
| | was observed over several days and compared to that of a control dish. |
| | Data concerning the growth of each strain was acquired, quantified, and |
| | analyzed using two different methods. For the first method, pictures were |
| | taken of each dish everyday, and a computer program, written in Matlab, |
| | was used to count the number of pixels in a certain range of hues and |
| | compare that number to the total number of pixels. The second method |
| | involved streaking each plate for isolation, so that each proceeding |
| | quadrant had diminishing concentration of bacteria. The number of |
| | quadrants showing growth was then noted, and a two sample T-Test |
| | comparing growth in control dishes to growth in dishes exposed to plasma |
| | was used to analyze the data and test for significance. |
| | Bibliography |