A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear Regression
Membrane fouling is a complicated issue in microfiltration and ultrafiltration. Clearly identifying the dominant fouling mechanisms during the filtration process is of great significance for the phased and targeted control of fouling. To this end, we propose a semi-empirical multiple linear regressi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Membranes |
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| Online Access: | https://www.mdpi.com/2077-0375/10/8/171 |
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| author | Hao Xu Kang Xiao Jinlan Yu Bin Huang Xiaomao Wang Shuai Liang Chunhai Wei Xianghua Wen Xia Huang |
| author_facet | Hao Xu Kang Xiao Jinlan Yu Bin Huang Xiaomao Wang Shuai Liang Chunhai Wei Xianghua Wen Xia Huang |
| author_sort | Hao Xu |
| collection | DOAJ |
| description | Membrane fouling is a complicated issue in microfiltration and ultrafiltration. Clearly identifying the dominant fouling mechanisms during the filtration process is of great significance for the phased and targeted control of fouling. To this end, we propose a semi-empirical multiple linear regression model to describe flux decline, incorporating the five fouling mechanisms (the first and second kinds of standard blocking, complete blocking, intermediate blocking, and cake filtration) based on the additivity of the permeate volume contributed by different coexisting mechanisms. A piecewise fitting protocol was established to distinguish the fouling stages and find the significant mechanisms in each stage. This approach was applied to a case study of a microfiltration membrane filtering a model foulant solution composed of polysaccharide, protein, and humic substances, and the model fitting unequivocally revealed that the dominant fouling mechanism evolved in the sequence of initial adaptation, fast adsorption followed by slow adsorption inside the membrane pores, and the gradual growth of a cake/gel layer on the membrane surface. The results were in good agreement with the permeate properties (total organic carbon, ultraviolet absorbance, and fluorescence) during the filtration process. This modeling approach proves to be simple and reliable for identifying the main fouling mechanisms during membrane filtration with statistical confidence. |
| first_indexed | 2024-03-10T18:07:15Z |
| format | Article |
| id | doaj.art-09b514a4468e470b9be382e4f9c4384e |
| institution | Directory Open Access Journal |
| issn | 2077-0375 |
| language | English |
| last_indexed | 2024-03-10T18:07:15Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Membranes |
| spelling | doaj.art-09b514a4468e470b9be382e4f9c4384e2023-11-20T08:23:05ZengMDPI AGMembranes2077-03752020-07-0110817110.3390/membranes10080171A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear RegressionHao Xu0Kang Xiao1Jinlan Yu2Bin Huang3Xiaomao Wang4Shuai Liang5Chunhai Wei6Xianghua Wen7Xia Huang8College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaSchool of Civil Engineering, Guangzhou University, Guangzhou 510006, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, ChinaCollege of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, ChinaSchool of Civil Engineering, Guangzhou University, Guangzhou 510006, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, ChinaMembrane fouling is a complicated issue in microfiltration and ultrafiltration. Clearly identifying the dominant fouling mechanisms during the filtration process is of great significance for the phased and targeted control of fouling. To this end, we propose a semi-empirical multiple linear regression model to describe flux decline, incorporating the five fouling mechanisms (the first and second kinds of standard blocking, complete blocking, intermediate blocking, and cake filtration) based on the additivity of the permeate volume contributed by different coexisting mechanisms. A piecewise fitting protocol was established to distinguish the fouling stages and find the significant mechanisms in each stage. This approach was applied to a case study of a microfiltration membrane filtering a model foulant solution composed of polysaccharide, protein, and humic substances, and the model fitting unequivocally revealed that the dominant fouling mechanism evolved in the sequence of initial adaptation, fast adsorption followed by slow adsorption inside the membrane pores, and the gradual growth of a cake/gel layer on the membrane surface. The results were in good agreement with the permeate properties (total organic carbon, ultraviolet absorbance, and fluorescence) during the filtration process. This modeling approach proves to be simple and reliable for identifying the main fouling mechanisms during membrane filtration with statistical confidence.https://www.mdpi.com/2077-0375/10/8/171fouling development modelfiltration lawpore blockingmultiple linear regressionstatistical test |
| spellingShingle | Hao Xu Kang Xiao Jinlan Yu Bin Huang Xiaomao Wang Shuai Liang Chunhai Wei Xianghua Wen Xia Huang A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear Regression Membranes fouling development model filtration law pore blocking multiple linear regression statistical test |
| title | A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear Regression |
| title_full | A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear Regression |
| title_fullStr | A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear Regression |
| title_full_unstemmed | A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear Regression |
| title_short | A Simple Method to Identify the Dominant Fouling Mechanisms during Membrane Filtration Based on Piecewise Multiple Linear Regression |
| title_sort | simple method to identify the dominant fouling mechanisms during membrane filtration based on piecewise multiple linear regression |
| topic | fouling development model filtration law pore blocking multiple linear regression statistical test |
| url | https://www.mdpi.com/2077-0375/10/8/171 |
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