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Advanced reclamation of hairwork dyeing effluent using tree-shaped cellulose flocculants and subsequent optimization of dual-membrane performance and fouling behavior

Year: 2020

Journal: J. Clean Prod., Volume 268, SEP 20

Authors: Song, Yuefei; Hu, Qihua; Li, Tiemei; Li, Jiaqi; Jiang, Kai; Gao, Congjie

Organizations: Henan provincial key science and technology research project [192102210045]; Henan Normal University Fund for Excellent Young Scholars [2016YQ03]

Keywords: Wastewater reclamation; Tree-shaped cellulose-based flocculants; Hairwork dyeing effluent; Integrated membrane system; Flocculation mechanism

The purpose of this study is to prepare eco-friendly cationic tree-shaped cellulose-based flocculants (CLFs) through ultrasonic modification as the primary pretreatment, and then realize advanced hairwork dyeing effluent (HDE) reclamation by coupling with dual membrane process. The results showed that the optimal CLF-10 could be obtained by extra ultrasonic processing with a certain conservative time to tune its microstructure appearing in a well-veined and fluffy tree-shaped morphology with relatively uniform particle size distribution. The excellent flocculation performance of CLF-10 in terms of turbidity, total organic carbon (TOC) and dissolved organic carbon (DOC) removal rates reached up to 99.1%, 72.1% and 70.5% at the dosage of 100 mg L-1, and the largest and most dense flocs (Amean of 269 900 mm(2) and Df of 1.80) were formed accordingly. This is precisely because the above mentioned microstructure properties enable it to have smaller steric hindrance effect and more active sites, thus effectively clustering the largest amount of target contaminants. Consequently, the bench-scale test employed CLF-10 agent achieved a higher HDE recovery rate of 80.3% under the circumstance of lower operating pressure and significantly mitigated membrane fouling, and the final cleaner reuse water only contained 76.2 mg.L-1 of total dissolved solids (TDS), 23.9 mg CaCO3.L-1 of total hardness and 1.85 mg.L-1 of DOC. (C) 2020 Elsevier Ltd. All rights reserved.