On the reliability of lab-scale experiments for the determination of membrane specific flux measurements in organic solvent nanofiltration

Goebel, Rebecca; Schreiber, Mareike; Koleva, V.; Horn, Melanie; Górak, Andrzej; Skiborowski, Mirko

doi:10.1016/j.cherd.2019.06.013

Cited by 14 publications

(6 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Each membrane cell contained a membrane cutout from the same batch of the membrane material to be screened in order to perform an estimation of the mean and standard deviation for membrane flux and ion rejection. The membrane flux, as determined by small samples in lab-scale experiments, is well known to exhibit significant variations due to the inhomogeneity of the membrane material [58]. Retentate and permeate were continuously recycled to the feed vessel.…”

Section: Membrane Setupmentioning

confidence: 99%

Li+ Separation from Multi-Ionic Mixtures by Nanofiltration Membranes: Experiments and Modeling

Hubach,

Pillath,

Knaup

et al. 2023

Modelling

View full text Add to dashboard Cite

Aqueous sources like salt lake brines and seawater are the most abundant source for lithium ions and might contribute to the growing demand for lithium for energy storage. By coupling with the increasingly relevant reverse osmosis systems, nanofiltration can provide a promising process alternative to conventional methods such as water evaporation and salt precipitation from ores or brines for this purpose. One possible model for nanofiltration is the solution-diffusion-electromigration model (SDEM). First, the model was parametrized by determining the permeances from simple electrolyte mixtures containing two salts. Then, the SDEM was used to predict the rejections of complex multi-electrolyte solutions that mimic seawater and reverse osmosis brine, without fitting additional parameters to experimental data of this complex mixture. This allowed predicting ion rejections satisfactorily. Negative rejections due to spontaneously generated electric fields in the membrane could also be qualitatively described. In summary, this SDEM modeling can provide an important contribution to the purification of Li+ from aqueous sources.

show abstract

Section: Membrane Setupmentioning

confidence: 99%

Li+ Separation from Multi-Ionic Mixtures by Nanofiltration Membranes: Experiments and Modeling

Hubach,

Pillath,

Knaup

et al. 2023

Modelling

View full text Add to dashboard Cite

show abstract

“…Nevertheless, significant progress in the commercialization of large‐scale modules for OSN has been limited by the substantial difference between different nanofiltration membrane samples, together with the difference in membrane performance between industrial modules and lab‐scale tests. [ 303 ] Hence, all these hurdles must be carefully addressed to ensure the realization of the industrial application of large‐scale membrane modules for OSN in the near future.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Graphene‐Based Advanced Membrane Applications in Organic Solvent Nanofiltration

Nie

Chuah

Bae

et al. 2020

Adv Funct Materials

View full text Add to dashboard Cite

Owing to the increasing need to mitigate excessive organic solvent waste, the efficient separation and recovery of organic solvents have received major research attention in recent years. The membrane‐based organic solvent nanofiltration (OSN) process has demonstrated its feasibility in addressing this problem with low energy costs, compared to conventional separation techniques, such as adsorption, liquid–liquid extraction, and solvent evaporation. Recently, membranes made of 2D graphene‐based materials have shown great promise because they attain high solvent flux and solute rejection using easy processing methods. Thus, this paper focuses on state‐of‐the‐art studies of graphene‐based membranes used in OSN processes, which include syntheses, characterizations, performance evaluations, membrane fouling, and simulation studies, in combination with the development of the “upper‐bound” line to indicate the performance of graphene‐based membranes. In this paper, critical challenges involved in the development of graphene‐based membranes are also focused on and discussed to map out the future directions of these membranes in industrial OSN processes. In addition to OSN, this paper pertains to a broader audience in other separation processes, particularly in the fields of gas separation and water treatment.

show abstract

“…The sample standard deviation for membrane screening data should be provided and it should be based on at least three independent replicates. 24 Replicates for long processes, in particular continuous operation, are not necessary given that the membrane screening proved the reliability of the membrane performance. New/prospective membrane materials cannot be used in an application if a similar performance to that reported in a previous paper cannot be obtained.…”

Section: Reliable Reports On the Characterization Of Membranesmentioning

confidence: 99%

“…Multiple measurements with different membrane coupons are indispensable because the variation in the flux of the same membrane material could be as high as 33% even under the same experimental conditions due to possible leakages and defects in the membrane material. 24 Despite the need for reliable estimates of uncertainty, around a quarter of the OSN papers surveyed provided performance data as individual data points (Fig. 5).…”

Section: Reliable Reports On the Characterization Of Membranesmentioning

confidence: 99%

Reporting the unreported: the reliability and comparability of the literature on organic solvent nanofiltration

2020

View full text Add to dashboard Cite

show abstract

On the reliability of lab-scale experiments for the determination of membrane specific flux measurements in organic solvent nanofiltration

Cited by 14 publications

References 29 publications

Li+ Separation from Multi-Ionic Mixtures by Nanofiltration Membranes: Experiments and Modeling

Li+ Separation from Multi-Ionic Mixtures by Nanofiltration Membranes: Experiments and Modeling

Graphene‐Based Advanced Membrane Applications in Organic Solvent Nanofiltration

Reporting the unreported: the reliability and comparability of the literature on organic solvent nanofiltration

Contact Info

Product

Resources

About