Adsorptive dead-end filtration for removal of Cr(<scp>vi</scp>) using novel amine modified polyacrylonitrile ultrafiltration membranes

Mantel, Tomi; Glass, Sarah; Usman, Muhammad; Lyberis, Anastasios; Filiz, Volkan; Ernst, Mathias

doi:10.1039/d2ew00570k

Cited by 7 publications

(2 citation statements)

References 51 publications

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“…The primary focus of this study was to examine the modification of polymer membranes through the introduction of positively charged amine groups. Amine-modified membranes showed great potential to adsorb and remove toxic metals − and textile dyes , from water. These water contaminants can cause significant harm and serious illness if consumed long term .…”

Section: Introductionmentioning

confidence: 99%

Design of Modified Polymer Membranes Using Machine Learning

Glass,

Schmidt,

Merten

et al. 2024

ACS Appl. Mater. Interfaces

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Surface modification is an attractive strategy to adjust the properties of polymer membranes. Unfortunately, predictive structure−processing−property relationships between the modification strategies and membrane performance are often unknown. One possibility to tackle this challenge is the application of data-driven methods such as machine learning. In this study, we applied machine learning methods to data sets containing the performance parameters of modified membranes. The resulting machine learning models were used to predict performance parameters, such as the pure water permeability and the zeta potential of membranes modified with new substances. The predictions had low prediction errors, which allowed us to generalize them to similar membrane modifications and processing conditions. Additionally, machine learning methods were able to identify the impact of substance properties and process parameters on the resulting membrane properties. Our results demonstrate that small data sets, as they are common in materials science, can be used as training data for predictive machine learning models. Therefore, machine learning shows great potential as a tool to expedite the development of high-performance membranes while reducing the time and costs associated with the development process at the same time.

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Section: Introductionmentioning

confidence: 99%

Design of Modified Polymer Membranes Using Machine Learning

Glass,

Schmidt,

Merten

et al. 2024

ACS Appl. Mater. Interfaces

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“…They are primarily used for IEX chromatography within a membrane format and find applications in bioprocessing and pharmaceutical manufacturing for the separation of proteins, nucleic acids and other biomolecules with charge-based separations [ 17 , 18 ]. Studies have explored both commercial and custom-fabricated porous anion-exchange membranes for various applications in water treatment, like the removal of anionic dyes [ 19 , 20 , 21 ], heavy metals [ 15 , 22 , 23 , 24 ] or PFAS [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Characterizing Macroporous Ion Exchange Membrane Adsorbers for Natural Organic Matter (NOM) Removal—Adsorption and Regeneration Behavior

Wullenweber,

Bennert,

Mantel

et al. 2024

Membranes

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Addressing the characterization of Natural Organic Matter (NOM) removal by functionalized membranes in water treatment, this study evaluates the effectiveness of two commercial ion-exchange membrane adsorbers: Sartobind® Q (with quaternary amines) and D (with tertiary amines). Using Suwannee River NOM (SRNOM) as a surrogate, Langmuir adsorption isotherms revealed maximum capacities (Qmax) of 2966 ± 153 mg C/m2 and 2888 ± 112 mg C/m2, respectively. Variations in flux from 50 to 500 LMH had a minimal impact on breakthrough times, proving low diffusion limitations. The macroporous (3–5 µm) functionalized cellulose-based membranes exhibited high permeabilities of 10800 L/(h m2 bar). Q maintained positive zeta potential vs. pH, while D’s zeta potential decreased above pH 7 due to amine deprotonation and turning negative above an isoelectric point of 9.1. Regeneration with 0.01 M NaOH achieved over 95% DOC regeneration for Sartobind® D, characterizing reversibility through a pH-swing. Cyclic adsorption showed that Q maintained its capacity with over 99% DOC regeneration, while D required acidic conditioning after the first regeneration cycle to mitigate capacity reduction and re-deprotonate the adsorber. These results have demonstrated the potential suitability of adsorber membranes, designed originally for biotechnological purposes, for the possible removal of disinfection byproduct precursors in drinking water treatment.

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Microbial Remediation Technologies for Chromium Removal: Mechanism, Challenges and Future Prospect

Monga,

Fulke,

Giripunje

et al. 2023

Environmental Science and Engineering

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Adsorptive dead-end filtration for removal of Cr(vi) using novel amine modified polyacrylonitrile ultrafiltration membranes

Abstract: The present study investigates the concept of combining the processes of ultrafiltration (UF) and ion exchange into one single filtration step.

Cited by 7 publications

References 51 publications

Design of Modified Polymer Membranes Using Machine Learning

Design of Modified Polymer Membranes Using Machine Learning

Characterizing Macroporous Ion Exchange Membrane Adsorbers for Natural Organic Matter (NOM) Removal—Adsorption and Regeneration Behavior

Microbial Remediation Technologies for Chromium Removal: Mechanism, Challenges and Future Prospect

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