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Purpose of Review <p>This review provides a comprehensive analysis of the current state and future prospects of membrane bioreactors (MBRs), focusing on recent advancements in membrane materials, innovative design concepts, and strategies to optimize biodegradation processes. Additionally, it highlights the transformative role of artificial intelligence (AI), machine learning (ML), and hybrid configurations in advancing MBR.</p> Recent Findings <p> Hybrid MBR systems that incorporate advanced oxidation processes (AOPs) and other processes demonstrate enhanced micropollutant removal and treatment efficiency. MBR with nanocomposite and bio-inspired membranes exhibit improved fouling resistance, water flux, and mechanical strength. Significant innovations also include the application of AI-driven models, such as random forests and neural networks, to predict fouling behavior and optimize operational parameters in MBRs.</p> Summary <p>Recent progress in MBR technology, especially through new membrane materials and hybrid systems, plays an important role in improving MBR performance for contaminant removal and reducing fouling in wastewater treatment. Additionally, incorporating AI and optimizing operational parameters can further improve the efficiency, effectiveness, and reliability of these systems. </p>

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Towards Next-Generation Membrane Bioreactors: Innovations, Challenges, and Future Directions

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • K. Khoiruddin,
  • R. Boopathy,
  • S. Kawi,
  • I. G. Wenten

摘要

Purpose of Review

This review provides a comprehensive analysis of the current state and future prospects of membrane bioreactors (MBRs), focusing on recent advancements in membrane materials, innovative design concepts, and strategies to optimize biodegradation processes. Additionally, it highlights the transformative role of artificial intelligence (AI), machine learning (ML), and hybrid configurations in advancing MBR.

Recent Findings

Hybrid MBR systems that incorporate advanced oxidation processes (AOPs) and other processes demonstrate enhanced micropollutant removal and treatment efficiency. MBR with nanocomposite and bio-inspired membranes exhibit improved fouling resistance, water flux, and mechanical strength. Significant innovations also include the application of AI-driven models, such as random forests and neural networks, to predict fouling behavior and optimize operational parameters in MBRs.

Summary

Recent progress in MBR technology, especially through new membrane materials and hybrid systems, plays an important role in improving MBR performance for contaminant removal and reducing fouling in wastewater treatment. Additionally, incorporating AI and optimizing operational parameters can further improve the efficiency, effectiveness, and reliability of these systems.