Im Hong Rae, Kim Chang-Min, Choi Paula Jungwon, Jang Am
Department of Global Smart City, Sungkyunkwan University (SKKU), 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, Republic of Korea.
Department of Global Smart City, Sungkyunkwan University (SKKU), 2066, Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do 16419, Republic of Korea; Future and Fusion Lab of Architectural, Civil and Environmental Engineering, Korea University, Seoul 02841, Republic of Korea.
Chemosphere. 2024 May;356:141778. doi: 10.1016/j.chemosphere.2024.141778. Epub 2024 Mar 28.
Physical fouling characteristics on silicon carbide (SiC) membranes induced by various organic matter compounds vary depending on the presence of calcium ions (Ca). Both destructive techniques (morphological surface analysis) and non-destructive techniques (fouling properties monitoring) were used to determine the fouling mechanisms and behavior during the membrane filtration systems. Destructive analysis and a modified Hermia model were employed to assess the fouling mechanisms. Fouling behavior was also analyzed through non-destructive monitoring techniques including optical coherence tomography (OCT) and three-dimensional laser scanning confocal microscopy (3D-LSM). At concentrations of 10, 30, and 100 mg/L without Ca, the flux decreased by 57-95% for humic acid (HA) and anionic polyacrylamide (APAM). APAM exhibited a notable removal rate of up to 56% without Ca. At concentration of 10, 30, and 100 mg/L in the absence of Ca, the flux decreased by 6-8% for sodium alginate (SA). However, the addition of Ca led to a reduction in the flux for SA by up to 91% and resulted in a removal rate of 40%. Furthermore, addition of Ca led to an alteration of the fouling characteristics of HA and SA. In the case of HA, higher concentrations resulted in elevated thickness and roughness with correlation coefficients of 0.991 and 0.992, respectively. For SA, increased SA concentration led to a thicker (correlation coefficient of 0.999) but smoother surfaces (correlation coefficients of 0.502). Monitoring of these physical characteristics of the fouling layer through non-destructive analysis is crucial for effective fouling management, optimization of the system performance and extending the lifespan of the membrane. By continuously assessing the fouling layer thickness and surface roughness, we expect to be able to provide insights on the fouling behavior, identify trends, that can help scientists and engineers to make informed decisions regarding fouling control strategies in future.
由各种有机物质化合物引起的碳化硅(SiC)膜上的物理污染特性因钙离子(Ca)的存在而有所不同。破坏性技术(形态表面分析)和非破坏性技术(污染特性监测)都被用于确定膜过滤系统中的污染机制和行为。采用破坏性分析和改进的赫米亚模型来评估污染机制。还通过包括光学相干断层扫描(OCT)和三维激光扫描共聚焦显微镜(3D-LSM)在内的非破坏性监测技术对污染行为进行了分析。在无钙条件下,腐殖酸(HA)和阴离子聚丙烯酰胺(APAM)浓度分别为10、30和100mg/L时,通量下降了57 - 95%。无钙时,APAM的去除率高达56%。在无钙条件下,海藻酸钠(SA)浓度为10、30和100mg/L时,通量下降了6 - 8%。然而,添加钙导致SA的通量下降高达91%,去除率为40%。此外,添加钙导致HA和SA的污染特性发生改变。对于HA,较高浓度导致厚度和粗糙度增加,相关系数分别为0.991和0.992。对于SA,SA浓度增加导致表面更厚(相关系数为0.999)但更光滑(相关系数为0.502)。通过非破坏性分析监测污染层的这些物理特性对于有效的污染管理、系统性能优化和延长膜的使用寿命至关重要。通过持续评估污染层厚度和表面粗糙度,我们期望能够深入了解污染行为,识别趋势,这有助于科学家和工程师在未来就污染控制策略做出明智决策。