The rising prevalence of microplastics (MPs) in various ecosystems has increased the
demand for advanced detection and mitigation strategies. This review examines the …

Over time, humanity has addressed microbial water contamination in various ways.
Historically, individuals resorted to producing beer to combat the issue. Fast forward to the …

This study presents an innovative approach utilizing artificial intelligence (AI) for the
prediction and classification of water quality parameters based on physico-chemical …

As the pace of industrialization and urbanization accelerates, water quality management
faces increasing challenges, with traditional methods for pollutant source apportionment …

Ensuring the provision of safe drinking water necessitates thorough monitoring of microbial
water quality. While traditional culture-based enumeration of bacterial indicators has served …

The detection of Pseudomonas aeruginosa is a challenging but crucial task to ensure the
bio-safety of drinking water. The current cultivation and molecular qPCR methods are costly …

Abstract Sustainable Development Goals 6 and 9 emphasize the critical role of maintaining
high-quality groundwater for industrial processes. This study aims to contribute to these …

Population growth, urbanization, and the effects of climate change all exacerbate the
problem of global water scarcity, which poses a serious obstacle to sustainable …

River water pollution has increased due to human activities. Initially, numerical and
analytical methods were used to classify river water quality, but machine learning now …

Although artificial intelligence (AI) has been used in chemistry, more or less covertly, for
many decades (databases for data management, programs for designing synthesis …