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Bioremediation, an advanced and environmentally sustainable technology, utilizes biological microorganisms to mitigate pollution. This review combines insights from two perspectives: one focusing on the mechanisms, applications, and types of bioremediation, and the other examining the transformative potential of integrating Internet of Things (IoT), Artificial Intelligence (AI), and biosensors in pollution management. The first perspective delves into the effectiveness of bioremediation in decomposing and detoxifying hazardous substances, emphasizing its cost-effectiveness and eco-friendliness compared to conventional methods. In-situ and ex-situ bioremediation methods are analyzed, along with intrinsic and engineered techniques, and phytoremediation strategies for heavy metal removal. The review underscores the growing importance of bioremediation in addressing industrial effluents, contaminated soils, and groundwater, with future advancements expected to enhance its efficiency and applicability. From the second perspective, recent advancements in IoT, AI, and biosensors are explored for their potential to revolutionize bioremediation and waste management. IoT facilitates real-time monitoring and remote management, AI enhances data analysis and predictive modelling, and biosensors contribute to precise pollutant detection and environmental monitoring. The review highlights the synergistic integration of these technologies, presenting smart bioremediation systems with real-time feedback loops and adaptive capabilities. Together, these technologies offer scalable solutions for environmental pollution mitigation, marking a significant stride towards sustainable environmental management.
Kuppan et al. (Mon,) studied this question.
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