G. Sweedan, E. (2015). Isolation, Identification, and Determination antimicrobial Susceptibility of Bacteria Isolated from Mobile Phones of Student. , 9(3), 6-9. doi: 10.37652/juaps.2015.127544
Enass G. Sweedan. "Isolation, Identification, and Determination antimicrobial Susceptibility of Bacteria Isolated from Mobile Phones of Student". , 9, 3, 2015, 6-9. doi: 10.37652/juaps.2015.127544
G. Sweedan, E. (2015). 'Isolation, Identification, and Determination antimicrobial Susceptibility of Bacteria Isolated from Mobile Phones of Student', , 9(3), pp. 6-9. doi: 10.37652/juaps.2015.127544
G. Sweedan, E. Isolation, Identification, and Determination antimicrobial Susceptibility of Bacteria Isolated from Mobile Phones of Student. , 2015; 9(3): 6-9. doi: 10.37652/juaps.2015.127544

Isolation, Identification, and Determination antimicrobial Susceptibility of Bacteria Isolated from Mobile Phones of Student

Journal of University of Anbar for Pure Science
Article 3, Volume 9, Issue 3, 2015, Pages 6-9    PDF (373.19 K)
Document Type: Research Paper
DOI: 10.37652/juaps.2015.127544
Author
Enass G. Sweedan*
University of Baghdad - College of Science
Abstract
In general from this study it can be concluded that the rate of bacterial contamination of mobile phone is height. A total of 25 samples were collected from the cell phones of the students of college of science biology department, Baghdad University. Bacteria encountered include: (gram positive; S. aureus, coagulase negative staphylococci (S. peidermidis), S. Pyogenes, B. spp.), and gram negative; E. coli, and P. aeruginosa) most of these bacteria species are harmful and cause infection to humans. And in this study was found the percent of contamination in mobile phones of male (61.11%) more than in female (38.88%) mobile phones. The antibiotic sensitivity test showed the variety of resistance of isolated bacteria to antibiotics used in this study, but most isolated bacteria were sensitive to streptomycin and kanamycin except the isolates of B. spp. and P. aeruginosa were the most resistant bacteria for antibiotics used in this study approximately.
Keywords
Mobile phones; Bacteria spp; identification
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