Bio-derived carboxymethyl cellulose-graft-gallic acid antiscalant with remarkable antibacterial activity for reverse osmosis scaling and biofouling control

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Liping Xiong , Wei Yu , Chenglin Ji , Longyufan Liu , Jiaheng Teng , Cheng Chen , Hongjun Lin , Liguo Shen
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Abstract

Reverse osmosis (RO) system, extensively utilized in desalination process, faced multiple challenges of various membrane fouling, including scaling and biofouling. The development of multifunctional, environmentally benign antiscalants presents a promising avenue to address these issues. In this study, a series of carboxymethyl cellulose-graft-gallic acid (CMC-g-GA) polymers were prepared by varying the mass ratio of carboxymethyl cellulose to gallic acid (GA), employed for the inhibition of calcium sulphate scale and bacteria. Static scale inhibition and RO experiments were conducted to comprehensively investigate the scale inhibition properties and mechanisms of CMC-g-GA. Results revealed that the static scale inhibition efficiency of CMC-g-GA reached 98.5 % at the optimal dosage of 10 mg/L. Furthermore, the membrane flux was sustained at 82.9 % after 3 h of RO operation using 2 mg/L CMC-g-GA, far higher than 14.4 % observed in the control group without antiscalant, which exhibited a pronounced flux decline. Molecular dynamics simulations and crystal characterization results confirmed that the effectiveness of CMC-g-GA was attributed to its carboxyl and phenolic hydroxyl groups, which bonded calcium ions and interacted with calcium sulphate crystals, preventing scale formation and distorting normal crystal growth. Additionally, the incorporation of GA endowed CMC-g-GA with robust antibacterial properties. These findings provided novel insights for the design and optimization of antiscalants to improve their functionality and broaden their potential applications.

Abstract Image

Abstract Image

生物源羧甲基纤维素接枝没食子酸抗垢剂,具有显著的反渗透结垢和生物结垢抑制活性
反渗透(RO)系统广泛应用于海水淡化过程,面临各种膜污染的多重挑战,包括结垢和生物污染。开发多功能、环保的抗垢剂为解决这些问题提供了一条有希望的途径。本研究通过改变羧甲基纤维素与没食子酸(GA)的质量比,制备了一系列羧甲基纤维素-接枝没食子酸(CMC-g-GA)聚合物,用于抑制硫酸钙结垢和细菌。通过静态阻垢实验和反渗透实验,全面考察了CMC-g-GA的阻垢性能和机理。结果表明,在最佳投加量为10 mg/L时,CMC-g-GA的静态阻垢率可达98.5%。使用2 mg/L CMC-g-GA进行反渗透操作3 h后,膜通量维持在82.9%,远高于不使用抗垢剂的对照组的14.4%,后者的通量明显下降。分子动力学模拟和晶体表征结果证实,CMC-g-GA的有效性归因于其羧基和酚羟基,它们结合钙离子并与硫酸钙晶体相互作用,防止结垢和扭曲正常晶体生长。此外,GA的掺入使CMC-g-GA具有强大的抗菌性能。这些发现为抗垢剂的设计和优化提供了新的见解,以提高其功能和扩大其潜在的应用范围。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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