BASE - DATA FOR PREDICTIVE MODELLING OF MOBILE PHONE RADIATION IMPACT ON EAR BACTERIA FLORA

Abstract

Mobile phones have become an important part of modern life, providing so many advantages and conveniences. However, the ubiquity of these devices has raised concerns about their potential impact on human health, particularly in relation to the delicate ecosystem of the human ear. This research investigates the effect of mobile phone radiation on the microbial flora isolated from ear wax. The human ear and its functions, the ear microbiome, the characteristics of mobile phone radiation, and its potential biological effects were reviewed. Three distinct bacterial species - Pseudomonas aeruginosa, Staphylococcus aureus, and Staphylococcus epidermidis - were isolated from ear wax samples and identified based on their morphological and biochemical characteristics. The isolated bacteria were then subjected to mobile phone radiation exposure in an experimental setup. The results revealed that radiation inhibited microbial growth and it also significantly reduced the number of colonies formed on exposed plates compared to control plates. This finding is supported by quantitative data on the comparison of colony forming units (CFU/mL) between control and exposed plates over multiple samples and time periods. These results underscore the need for continued research into the biological effects of mobile phone radiation on microbial ecosystems and emphasize potential implications for public health and hygiene practices. The integration of artificial intelligence in predictive modeling could provide valuable insights into the complex interactions between mobile phone radiation and the ear microbiome. This study lays the foundation for future work on developing predictive models to understand and mitigate the impact of mobile phone radiation on the delicate microbial balance in the human ear.