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应用不同抗生物污染技术延长浸没式膜生物反应器中膜的寿命

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

作者信息

Sohail Noman, Riedel Ramona, Dorneanu Bogdan, Arellano-Garcia Harvey

机构信息

Department of Biotechnology of Water Treatment, Brandenburg University of Technology Cottbus/Senftenberg, 03046 Cottbus, Germany.

Department of Process and Plant Technology, Brandenburg University of Technology Cottbus/Senftenberg, 03046 Cottbus, Germany.

出版信息

Membranes (Basel). 2023 Feb 9;13(2):217. doi: 10.3390/membranes13020217.

DOI:10.3390/membranes13020217
PMID:36837720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9962460/
Abstract

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 sp. BH4 and 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.

摘要

在过去二十年中,膜生物反应器(MBR)是一种用于处理城市和工业废水的高效技术。与传统活性污泥法相比,它是一种单级工艺,占地面积更小,对有机化合物的去除效率更高。然而,MBR的主要缺点是膜生物污染,这会缩短膜的使用寿命,并自动增加运营成本。本综述探讨了最先进的不同抗生物污染技术,即群体淬灭(QQ)和基于模型的方法。前者是一种相对较新的减轻生物污染的策略。它破坏了污泥中导致生物污染的细菌之间的细胞间通讯。例如,两株细菌sp. BH4和 在破坏群体感应(QS)方面非常有效。因此,它们被认为是有用的QQ细菌。此外,基于模型的抗污染策略在防止生物污染初始化的非常早期阶段也非常有前景。然而,生物污染是一种极其复杂的现象,各种参数(无论是物理参数还是生物参数)对其发展的影响尚未完全了解。先进的数字技术,结合新颖的大数据分析和优化技术,为创建能够有效应对MBR生物污染挑战的智能系统提供了巨大机遇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e0/9962460/0e3e75008c43/membranes-13-00217-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e0/9962460/c0d9aedbb1b8/membranes-13-00217-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e0/9962460/4cca01de6648/membranes-13-00217-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e0/9962460/0e3e75008c43/membranes-13-00217-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e0/9962460/c0d9aedbb1b8/membranes-13-00217-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e0/9962460/4cca01de6648/membranes-13-00217-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e0/9962460/0e3e75008c43/membranes-13-00217-g003.jpg

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本文引用的文献

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Syst Microbiol Biomanuf. 2022;2(1):91-112. doi: 10.1007/s43393-021-00048-6. Epub 2021 Aug 5.
2
A Review on Membrane Biofouling: Prediction, Characterization, and Mitigation.膜生物污染综述:预测、表征与缓解
Membranes (Basel). 2022 Dec 15;12(12):1271. doi: 10.3390/membranes12121271.
3
High propensity of membrane fouling and the underlying mechanisms in a membrane bioreactor during occurrence of sludge bulking.
污泥膨胀发生时膜生物反应器中膜污染的高倾向及潜在机制
Water Res. 2023 Feb 1;229:119456. doi: 10.1016/j.watres.2022.119456. Epub 2022 Dec 4.
4
Biofouling in Membrane Bioreactors: Mechanism, Interactions and Possible Mitigation Using Biosurfactants.膜生物反应器中的生物污垢:生物表面活性剂的作用机制、相互作用及可能的缓解措施。
Appl Biochem Biotechnol. 2023 Mar;195(3):2114-2133. doi: 10.1007/s12010-022-04261-4. Epub 2022 Nov 17.
5
Predicting membrane fouling in a high solid AnMBR treating OFMSW leachate through a genetic algorithm and the optimization of a BP neural network model.通过遗传算法和 BP 神经网络模型的优化,预测高固体浓度 AnMBR 处理 OFMSW 渗滤液中的膜污染。
J Environ Manage. 2022 Apr 1;307:114585. doi: 10.1016/j.jenvman.2022.114585. Epub 2022 Jan 24.
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Modeling, simulation and control of biological and chemical P-removal processes for membrane bioreactors (MBRs) from lab to full-scale applications: State of the art.从实验室规模到全规模应用的膜生物反应器(MBR)中生物和化学除磷过程的建模、模拟和控制:最新技术。
Sci Total Environ. 2022 Feb 25;809:151109. doi: 10.1016/j.scitotenv.2021.151109. Epub 2021 Oct 22.
7
Integrated mathematical model to simulate the performance of a membrane bioreactor.用于模拟膜生物反应器性能的综合数学模型。
Chemosphere. 2021 Dec;284:131319. doi: 10.1016/j.chemosphere.2021.131319. Epub 2021 Jun 24.
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Biological-based control strategies for MBR membrane biofouling: a review.基于生物的膜生物反应器(MBR)膜污染控制策略综述
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Application of cell entrapping beads for Quorum Quenching technique in submerged membrane bioreactor.细胞包埋珠在浸没式膜生物反应器中群体感应淬灭技术的应用。
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