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通过光纤传感和图像分析对反渗透过程中的初期生物污染进行检测

Incipient Biofouling Detection via Fiber Optical Sensing and Image Analysis in Reverse Osmosis Processes.

作者信息

Oesinghaus Helge, Wanken Daniel, Lupp Kilian, Gastl Martina, Elsner Martin, Glas Karl

机构信息

Water System Engineering, Chair of Food Chemistry and Molecular Sensory Science, TUM School of Life Science, Technical University of Munich, Maximus von Imhof Forum 2, 85354 Freising, Germany.

Research Center Weihenstephan for Brewing and Food Quality, Technical University of Munich, Alte Akademie 3, 85354 Freising, Germany.

出版信息

Membranes (Basel). 2023 May 25;13(6):553. doi: 10.3390/membranes13060553.

Abstract

Reverse osmosis (RO) is a widely used membrane technology for producing process water or tap water that is receiving increased attention due to water scarcity caused by climate change. A significant challenge in any membrane filtration is the presence of deposits on the membrane surfaces, which negatively affect filtration performance. Biofouling, the formation of biological deposits, poses a significant challenge in RO processes. Early detection and removal of biofouling are essential for effective sanitation and prevention of biological growth in RO-spiral wound modules. This study introduces two methods for the early detection of biofouling, capable of identifying initial stages of biological growth and biofouling in the spacer-filled feed channel. One method utilizes polymer optical fibre sensors that can be easily integrated into standard spiral wound modules. Additionally, image analysis was used to monitor and analyze biofouling in laboratory experiments, providing a complementary approach. To validate the effectiveness of the developed sensing approaches, accelerated biofouling experiments were conducted using a membrane flat module, and the results were compared with common online and offline detection methods. The reported approaches enable the detection of biofouling before known online parameters become indicative, effectively providing an online detection with sensitivities otherwise only achieved through offline characterization methods.

摘要

反渗透(RO)是一种广泛应用的膜技术,用于生产工艺用水或自来水。由于气候变化导致水资源短缺,该技术正受到越来越多的关注。在任何膜过滤过程中,一个重大挑战是膜表面存在沉积物,这会对过滤性能产生负面影响。生物污垢,即生物沉积物的形成,在反渗透过程中构成了重大挑战。早期检测和去除生物污垢对于反渗透螺旋缠绕模块的有效卫生处理和防止生物生长至关重要。本研究介绍了两种早期检测生物污垢的方法,能够识别间隔填充进料通道中生物生长和生物污垢的初始阶段。一种方法利用聚合物光纤传感器,该传感器可轻松集成到标准螺旋缠绕模块中。此外,在实验室实验中使用图像分析来监测和分析生物污垢,提供了一种补充方法。为了验证所开发传感方法的有效性,使用膜平板模块进行了加速生物污垢实验,并将结果与常见的在线和离线检测方法进行了比较。所报道的方法能够在已知在线参数显示出问题之前检测到生物污垢,有效地提供了一种灵敏度与离线表征方法相当的在线检测。

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