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Prolonging the Life Span of Membrane in Submerged MBR by the Application of Different Anti-Biofouling Techniques

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MEMBRANES
卷 13, 期 2, 页码 -

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MDPI
DOI: 10.3390/membranes13020217

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membrane bioreactor (MBR); quorum sensing (QS); quorum quenching (QQ); moving bed biofilm reactor (MBBR); moving bed biofilm membrane reactor (MBBMR); model-based anti-fouling strategies

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The membrane bioreactor (MBR) has been a highly efficient technology for treating municipal and industrial wastewater over the past two decades. It offers a single-stage process with smaller space requirements and higher removal efficiency of organic compounds compared to conventional activated sludge processes. However, membrane biofouling remains a major drawback, leading to reduced membrane lifespan and increased operational costs. This review explores anti-biofouling techniques, including quorum quenching and model-based approaches.
The membrane bioreactor (MBR) is an efficient technology for the treatment of municipal and industrial wastewater for the last two decades. It is a single stage process with smaller footprints and a higher removal efficiency of organic compounds compared with the conventional activated sludge process. However, the major drawback of the MBR is membrane biofouling which decreases the life span of the membrane and automatically increases the operational cost. This review is exploring different anti-biofouling techniques of the state-of-the-art, i.e., quorum quenching (QQ) and model-based approaches. The former is a relatively recent strategy used to mitigate biofouling. It disrupts the cell-to-cell communication of bacteria responsible for biofouling in the sludge. For example, the two strains of bacteria Rhodococcus sp. BH4 and Pseudomonas putida are very effective in the disruption of quorum sensing (QS). Thus, they are recognized as useful QQ bacteria. Furthermore, the model-based anti-fouling strategies are also very promising in preventing biofouling at very early stages of initialization. Nevertheless, biofouling is an extremely complex phenomenon and the influence of various parameters whether physical or biological on its development is not completely understood. Advancing digital technologies, combined with novel Big Data analytics and optimization techniques offer great opportunities for creating intelligent systems that can effectively address the challenges of MBR biofouling.

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