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气升式辅助微滤过程中微藻膜污染行为及性能的实验研究与统计分析。

Experimental studies and statistical analysis of membrane fouling behavior and performance in microfiltration of microalgae by a gas sparging assisted process.

机构信息

Department of Chemical Engineering, Amirkabir University of Technology, No. 424, Hafez Ave., Tehran, Iran.

Department of Chemical Engineering, Amirkabir University of Technology, No. 424, Hafez Ave., Tehran, Iran.

出版信息

Bioresour Technol. 2014 Jun;162:350-7. doi: 10.1016/j.biortech.2014.03.160. Epub 2014 Apr 8.

DOI:10.1016/j.biortech.2014.03.160
PMID:24768909
Abstract

Response surface methodology (RSM) and central composite design (CCD) were applied for modeling and optimization of cross-flow microfiltration of Chlorella sp. suspension. The effects of operating conditions, namely transmembrane pressure (TMP), feed flow rate (Qf) and optical density of feed suspension (ODf), on the permeate flux and their interactions were determined. Analysis of variance (ANOVA) was performed to test the significance of response surface model. The effect of gas sparging technique and different gas-liquid two phase flow regimes on the permeate flux was also investigated. Maximum flux enhancement was 61% and 15% for Chlorella sp. with optical densities of 1.0 and 3.0, respectively. These results indicated that gas sparging technique was more efficient in low concentration microalgae microfiltration in which up to 60% enhancement was achieved in slug flow pattern. Additionally, variations in the transmission of exopolysaccharides (EPS) and its effects on the fouling phenomenon were evaluated.

摘要

响应面法(RSM)和中心复合设计(CCD)被应用于微滤藻悬浮液的错流过滤过程建模和优化。考察了操作条件,即跨膜压力(TMP)、进料流速(Qf)和进料悬浮液的光密度(ODf)对渗透通量及其相互作用的影响。采用方差分析(ANOVA)对响应面模型的显著性进行了检验。还研究了气体喷射技术和不同的气-液两相流型对渗透通量的影响。对于光密度分别为 1.0 和 3.0 的小球藻,最大通量增强分别为 61%和 15%。这些结果表明,气体喷射技术在低浓度微藻微滤中更为有效,在射流流型中可实现高达 60%的增强。此外,还评估了胞外多糖(EPS)的传输变化及其对污染现象的影响。

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Modeling and Optimization of Gas Sparging-Assisted Bacterial Cultivation Broth Microfiltration by Response Surface Methodology and Genetic Algorithm.基于响应面法和遗传算法的气体鼓泡辅助细菌培养液微滤建模与优化
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Response surface methodology for the modeling and optimization of oil-in-water emulsion separation using gas sparging assisted microfiltration.使用气体鼓泡辅助微滤法对水包油乳液分离进行建模和优化的响应面方法。
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