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Introduction: Now a days mobile phones are found everywhere. They have become a necessity. This study aims at finding the presence or absence of drug resistant bacteria on mobile phones.
Method: A total of 5 samples were collected from the cell phones of the students of biotechnology department, Modern college, Shivajinagar. In the lab, swabs were taken from the phones and were streaked on nutrient agar and MacConkey agar. The subsequent bacterial isolates were identified by their cultural, morphological and biochemical characteristics.
Result: The mean of bacterial count per mL was found to be 1.009*109 cfu/ml. Bacteria encountered mostly consisted of gram negative (80%) microorganisms. Isolates belonging to sample A were the most resistant of all and showed resistance to multiple antibiotics used in this study. We have found that the most effective antibiotics against the isolated bacteria were ciprofloxacin and imipenem. Even though the sample A, C, D, E were gram negative in nature they shows resistivity to aztreonam and ceftazidime. Analysis of the MAR index of isolates showed that all 5 isolated bacteria had ratios above 0.2, indicating high resistance.
Conclusion: Pathogenic bacteria were detected with multiple antibiotic resistance indexes. Hands and mobile phones can act as carriers for infectious agents, suggesting the need for hand hygiene and disinfecting mobile phones surfaces.
Keywords:
Bacteria, Antibiotic, Antibiotic Resistance, Student, Mobile Phone.
Cite Article:
"ANTIBIOTIC SUSCIPTIBILITY TESTING OF BACTERIA ISOLATED FROM MOBILE PHONES", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 8, page no.974 - 979, August-2022, Available :http://www.ijrti.org/papers/IJRTI2208167.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator