Assessment of the hindered transport model in predicting the rejection of trace organic compounds by nanofiltration

Kong, Fan xin; Yang, Hong; Wang, Xiao mao; Xie, Yuefeng F.

doi:10.1016/j.memsci.2015.09.062

Cited by 32 publications

(14 citation statements)

References 42 publications

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“…Considering that diclofenac and ibuprofen are negatively charged, under the experimental conditions electrostatic repulsion contributed to the better rejection obtained for these PhACs relative to carbamazepine. These findings were confirmed by other authors [38], who have shown that negatively charged compounds are more removed by negative surface charged membranes than neutral and positive ones. However, the low overall removal efficiency can be explained by the smaller molecular size of PhACs relative to the pore size of these membranes [37].…”

Section: Pharmaceutical Compound Removalsupporting

confidence: 86%

Removal of Contaminants from Water by Membrane Filtration: A Review

et al. 2022

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Drinking water sources are increasingly subject to various types of contamination due to anthropogenic factors and require proper treatment to remove disease-causing agents. Public drinking water systems use different treatment methods to provide safe and quality drinking water to populations. However, they are ineffective in removing contaminants that are considered a danger to the environment and therefore to humans. Several alternative treatment processes have been proposed, such as membrane filtration, as final purification methods. This paper aims to summarize the type of pollutant compounds, filtration processes, and membranes that have been most studied in this area with particular emphasis on how the modification of membranes, either the manufacturing process or the incorporation of nanomaterials, influences their performance.

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Section: Pharmaceutical Compound Removalsupporting

confidence: 86%

Removal of Contaminants from Water by Membrane Filtration: A Review

et al. 2022

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“…It has been concluded that NF membrane has a complicated exclusion mechanism, which involves combining both sieving and non-sieving mechanisms. Supporting evidence of this statement can be found in various studies that have concluded that steric hindrance plays a predominant role in the rejection mechanism and that electrostatic effect also has a significant role during the separation process of TrOCs [ 59 , 60 , 61 , 62 ]. In addition, T. Fujioka et al [ 63 ] compared the ceramic membrane and polymeric NF membrane by evaluating the rejection of TrOCs.…”

Section: Non-sieving Mechanismmentioning

confidence: 72%

Rejection Mechanism of Ionic Solute Removal by Nanofiltration Membranes: An Overview

et al. 2022

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The toxicity of heavy metals can cause water pollution and has harmful effects on human health and the environment. Various methods are used to overcome this pressing issue and each method has its own advantages and disadvantages. Membrane filtration technology such as nanofiltration (NF) produces high quality water and has a very small footprint, which results in lower energy usage. Nanofiltration is a membrane-based separation technique based on the reverse osmosis separation process developed in the 1980s. NF membranes have a pore size of 1 nm and molecular weight cut off (MWCO) of 300 to 500 Da. The properties of NF membranes are unique since the surface charge of the membranes is dependent on the functional groups of the membrane. The rejection mechanism of NF membrane is unique as it is a combination of various rejection mechanisms such as steric hindrance, electric exclusion, dielectric effect, and hydration mechanism. However, these mechanisms have not been studied in-depth due to their complexity. There are also many factors contributing to the rejection of NF membrane. Many junior researchers would face difficulty in studying NF membrane. Therefore, this paper is designed for researchers new to the field, and will briefly review the rejection mechanisms of NF membrane by both sieving and non-sieving separation processes. This mini-review aims to provide new researchers with a general understanding of the concept of the separation process of charged membranes.

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“…It describes partitioning through steric hindrance and the Donnan equilibrium theory. : Permeate flux (Jj) vs. transmembrane pressure for feed consisting of 2 g Cr 3+ dm -3 , 10 g Cldm -3 , 10 g SO4 2dm -3 (the dotted line shows the pore model fitted to experimental values) [124] Kong et al employed the DSPM and dielectric exclusion model to predict the performance of two NF membranes for the rejection of six haloacetic acids (HAA) and six pharmaceuticals (PhACs) with different molecular weight, hydrophobicity, and charge [125]. Their model could predict the rejection of HAAs with a mean standard error less than 5%.…”

Section: Mathematical Modelling In Nanofiltrationmentioning

confidence: 99%

Mathematical and optimization modelling in desalination: State-of-the-art and future direction

et al. 2019

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The growing water demand across the world necessitates the need for new and improved processes as well as for a better understanding of existing processes. This level of understanding includes predicting system performance in scenarios that cannot always be evaluated experimentally. Mathematical modelling is a crucial component of designing new and improved engineering processes. Through mathematically modelling real life systems, we gain a deeper understanding of processes while being able to predict performance more effectively. Advances in computational capacity and the ease of assessing systems allow researchers to study the feasibility of various systems. Mathematical modelling studies enable optimization performance parameters while minimizing energy requirements and, as such, have been an active area of research in desalination. In this review, the most recent developments in mathematical and optimization modelling in desalination are discussed with respect to transport phenomena, energy consumption, fouling predictions, and the integration of multiple scaling evolution on heat transfer surfaces has been reviewed. Similarly, developments in optimization of novel reverse osmosis (RO) configurations have been analyzed from an energy consumption perspective. Transport models for membranebased desalination processes, including relatively less understood processes such as nanofiltration and forward osmosis are presented, with recent modifications to allow for different solutes and solutions. Mathematical modelling of hybrid systems integrated with RO has also been reviewed. A survey of the literature shows that mathematical and optimization modelling of desalination processes is an exciting area for researchers in which future scholarship includes coupling of renewable energy systems with desalination technologies, as well as more advanced descriptions of fouling evolution other than that of cake filtration in membrane-based processes.

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Assessment of the hindered transport model in predicting the rejection of trace organic compounds by nanofiltration

Cited by 32 publications

References 42 publications

Removal of Contaminants from Water by Membrane Filtration: A Review

Removal of Contaminants from Water by Membrane Filtration: A Review

Rejection Mechanism of Ionic Solute Removal by Nanofiltration Membranes: An Overview

Mathematical and optimization modelling in desalination: State-of-the-art and future direction

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