Virus removal by membrane bioreactors: A review of mechanism investigation and modeling efforts

Yifan Zhu, Rong Chen, Yu You Li, Daisuke Sano

Research output: Contribution to journalReview articlepeer-review

18 Citations (Scopus)


The increasing pressure on the global water supply calls for more advanced solutions with higher efficiency and better sustainability, leading to the promptly developing water reclamation and reuse schemes including treatment technologies and risk management strategies where microbial safety is becoming a crucial aspect in the interest of public health. Backed up by the development of membrane technology, membrane bioreactors (MBR) have received substantial attention for their superiority over conventional treatment methods in many ways and are considered promising in the water reclamation realm. This review paper provides an overview of the efforts made to manage and control the potential waterborne viral disease risks raised by the use of effluent from MBR treatment processes, including the mechanisms involved in the virus removal process and the attempts to model the dynamics of the removal process. In principle, generalized and integrated virus removal models that provide insight into real-time monitoring are urgently needed for advanced real-time control purpose. Future studies of approaches that can well handle the inherent uncertainty and nonlinearity of the complex removal process are crucial to the development and promotion of related technologies.

Original languageEnglish
Article number116522
JournalWater Research
Publication statusPublished - 2021 Jan 1


  • Data-driven modeling
  • Membrane bioreactor
  • Process-driven modeling
  • Soft-sensor approach
  • Virus removal modeling

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Ecological Modelling
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution


Dive into the research topics of 'Virus removal by membrane bioreactors: A review of mechanism investigation and modeling efforts'. Together they form a unique fingerprint.

Cite this