Recent Trends in Water Bacteria by Bibliographic Analysis

Water bacteria research is very important for environmental sustainability and public health. Some bacteria, such as Shewanella oneidensis, aid in heavy metal removal, while others, like Escherichia coli, pose health risks by contaminating drinking water. This study employs bibliographic analysis using VOSviewer to examine recent advancements in water bacteria research. By analyzing citation networks and research trends, we identify key bacterial species and their applications, including wastewater treatment, bioremediation, and bio-based materials. Additionally, we explore the utilization of big data and machine learning in this field. Traditional methods rely on isolated studies, but AI-driven models trained on extensive datasets can optimize microbial water treatment strategies, predict contamination risks, and enhance decision-making. The findings highlight the potential of interdisciplinary approaches in water bacteria research, paving the way for more effective and sustainable water management solutions. This study provides insights into both current progress and future directions in the field.