TY - JOUR
T1 - Time-dependent analysis of polysaccharide fouling by Hermia models
T2 - Reveal the structure of fouling layer
AU - Niu, Bihui
AU - Yang, Ling
AU - Meng, Shujuan
AU - Liang, Dawei
AU - Liu, Hongju
AU - Yang, Linyan
AU - Shen, Liang
AU - Zhao, Qian
N1 - Publisher Copyright:
© 2022
PY - 2022/12/1
Y1 - 2022/12/1
N2 - The Hermia fouling models are often applied in interpreting filtration data to reveal the fouling mechanisms. However, the application of these models is arbitrary and lacks in-depth analysis. In this study, time-dependent Hermia models with forward and reverse processing were employed for the first time to analyze the membrane fouling mechanism and fouling layer structure determined by polysaccharide in dead-end and cross-flow filtration. The applicability of Hermia classic and mass-transfer models was also investigated. Results showed that in cross-flow filtration, the Hermia classic model is more suitable for processing the filtration data with Ca2+ and the Hermia mass-transfer model is more appropriate for fitting the experiment result caused by Mg2+ owning to the differences in affinity of Ca2+ and Mg2+ to polysaccharide. Fitting results further manifested that the differences in concentration could obviously affect structure of polysaccharide fouling layer, and the introduction of Ca2+ and/or Mg2+ changed the spatial conformation and compactness of fouling layer. These results suggested that Hermia fouling models can provide insightful analysis of the fouling layer structure from micro-level to interpret the fouling mechanisms. The influence of cation concentration and type on membrane fouling can be revealed by the processing of Hermia models. In short, time-dependent forward and reverse processing of Hermia classic and mass-transfer models could preliminarily explain the membrane fouling behavior and structure of fouling layer. This work suggests that the Hermia fouling models are more useful than we thought and the time-dependent application of them could provide deep insights into fouling development.
AB - The Hermia fouling models are often applied in interpreting filtration data to reveal the fouling mechanisms. However, the application of these models is arbitrary and lacks in-depth analysis. In this study, time-dependent Hermia models with forward and reverse processing were employed for the first time to analyze the membrane fouling mechanism and fouling layer structure determined by polysaccharide in dead-end and cross-flow filtration. The applicability of Hermia classic and mass-transfer models was also investigated. Results showed that in cross-flow filtration, the Hermia classic model is more suitable for processing the filtration data with Ca2+ and the Hermia mass-transfer model is more appropriate for fitting the experiment result caused by Mg2+ owning to the differences in affinity of Ca2+ and Mg2+ to polysaccharide. Fitting results further manifested that the differences in concentration could obviously affect structure of polysaccharide fouling layer, and the introduction of Ca2+ and/or Mg2+ changed the spatial conformation and compactness of fouling layer. These results suggested that Hermia fouling models can provide insightful analysis of the fouling layer structure from micro-level to interpret the fouling mechanisms. The influence of cation concentration and type on membrane fouling can be revealed by the processing of Hermia models. In short, time-dependent forward and reverse processing of Hermia classic and mass-transfer models could preliminarily explain the membrane fouling behavior and structure of fouling layer. This work suggests that the Hermia fouling models are more useful than we thought and the time-dependent application of them could provide deep insights into fouling development.
KW - Forward and reverse processing
KW - Fouling layer structure
KW - Fouling mechanism
KW - Hermia models
UR - https://www.scopus.com/pages/publications/85137769287
U2 - 10.1016/j.seppur.2022.122093
DO - 10.1016/j.seppur.2022.122093
M3 - 文章
AN - SCOPUS:85137769287
SN - 1383-5866
VL - 302
JO - Separation and Purification Technology
JF - Separation and Purification Technology
M1 - 122093
ER -