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Biomechanics identification and risk management strategy of volatile organic compound pollution sources integrated with machine learning algorithms
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This study explored biotechnological approaches—including microbial degradation and biofilm-assisted filtration—to mitigate microplastic contamination in water systems, proposing combined biological and engineering strategies for more effective remediation. Risk management strategies for volatile organic compound co-pollution were also assessed.
Microplastic pollution has emerged as a critical environmental issue, posing significant threats to aquatic ecosystems and human health. As an innovative approach, biological techniques have shown great potential in mitigating microplastic contamination in water systems. This study explores the use of biotechnological methods, such as microbial degradation and biofilm-assisted filtration, in combination with conventional water treatment processes to enhance the removal of microplastics. Focusing on Southwest China, where water pollution is exacerbated by rapid urbanization and industrial activities, the research identifies the ecological and technical challenges unique to this region. Experimental approaches include optimizing bio-coagulation using microbial consortia, assessing enzymatic degradation of common microplastic polymers, and evaluating the biomechanical interactions between biological agents and microplastic particles during water filtration. Results aim to provide insights into the efficacy and scalability of integrating biological solutions into existing water treatment frameworks. This study contributes to developing sustainable and eco-friendly strategies for addressing microplastic pollution and safeguarding water quality through biologically informed interventions.
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Microplastics in aquatic environments: Bridging occurrence and mitigation through machine learning detection and bioremediation strategies
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Tiny plastic particles called microplastics are showing up in shockingly high amounts in our water, sometimes millions of particles per liter, and they can end up affecting both aquatic life and, potentially, the food and water we consume. This review paper (summarizing existing research) highlights two promising solutions: certain fungi and algae that can remove over 90% of microplastics from water in lab settings, and AI tools that can quickly detect and track plastic pollution. The catch is that these cleanup methods work great in controlled settings but haven't yet been proven to work reliably in messy, real-world water systems.
Current applications and future impact of machine learning in emerging contaminants: A review
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This review examines how machine learning is being applied to emerging contaminant research including microplastics, covering identification, environmental behavior prediction, bioeffect assessment, and removal optimization of these pollutants.
[Overview of the Application of Machine Learning for Identification and Environmental Risk Assessment of Microplastics].
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This review examines the application of machine learning (ML) methods for identifying microplastics and assessing their environmental risks, covering techniques for improving the accuracy and reliability of microplastic detection across different environmental media. Researchers highlight how ML can systematically analyse pollution characteristics and support ecological risk evaluation of microplastic contamination.
Predicting aqueous sorption of organic pollutants on microplastics with machine learning
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Researchers developed machine learning models to predict how organic pollutants bind to microplastics in water, using data from 475 published experiments. The models outperformed traditional approaches by accounting for properties of both the microplastics and the pollutants simultaneously. The study provides a more universal tool for understanding how microplastics can transport and concentrate harmful chemicals in freshwater systems.
A concept for the biotechnological minimizing of emerging plastics, micro- and nano-plastics pollutants from the environment: A review.
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This review examined biotechnological strategies for remediating plastics, micro-, and nano-plastics from the environment, cataloguing microbial and enzymatic degradation approaches, discussing their mechanistic basis, and proposing an integrated biotechnology framework for minimizing plastic pollution across terrestrial and aquatic systems.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.