Performance study of fouling resistant novel ultrafiltration membranes based on the blends of poly (ether ether sulfone)/poly (vinyl pyrrolidone)/nano-titania for the separation of humic acid, dyes and biological macromolecular proteins from aqueous solutions

George, Jenet; Purushothaman, Maheswari; Singh, Isita; Singh, Ishani; Vaidyanathan, Vinoth Kumar

doi:10.1016/j.jhazmat.2021.127467

Cited by 14 publications

(6 citation statements)

References 53 publications

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“…The database was compiled from 83 publications on single-protein fouling in MF and UF filtration systems in the last 30 years (i.e., 1991–2022). ,− ,− The extraction of data from published publications was done manually by extracting the reported values given in the text or tables and using the WebPlotDigitizer 4.5 software for figures. After the data extraction, the parameters that are prevalently reported in the 83 publications were first identified, thus eliminating the need for assumptions of parameter values (such as zeta potential and hydrophilicity of membrane and protein) that would compromise such an effort .…”

Section: Methodsmentioning

confidence: 99%

“…However, membrane fouling due to protein remains a challenging issue that needs to be understood for the better application of membrane filtration in these industries. Various studies have been conducted in the past for understanding protein fouling mechanisms. ,− Empirical equations with some physical understanding have been developed to describe various phenomena, but the applicability of such equations usually is limited to the tested parameters in each study, and hence leads to substantial deviations in the predicted values outside of the tested ranges. , In the absence of a comprehensive understanding as in the case of protein fouling, machine-learning methods, which do not require detailed assumptions and governing equations, could be useful to bridge these gaps.…”

Section: Introductionmentioning

confidence: 99%

“…Only data from the studies that used a single protein type were considered for the current study; the data for mixed-proteins will be studied separately in the future based off the insights here. Although these studies have contributed towards the understanding on protein fouling caused by different parameters, first-principles understanding remains elusive. ,− , While other machine-learning methods are available, NN and RF were employed here as both have been successfully implemented for predicting membrane performance and understanding the relative importance of parameters, respectively, in past studies. ,,, Thus, focusing on single-protein fouling, this study has two main goals, namely, (i) the relative importance of the input parameters on the output parameters via RF; and (ii) the applicability of the NN model in predicting membrane fouling. Ten input parameters were assessed in this study, which incl...…”

Section: Introductionmentioning

confidence: 99%

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Understanding Single-Protein Fouling in Micro- and Ultrafiltration Systems via Machine-Learning-Based Models

Tanudjaja

Chew

2023

Ind. Eng. Chem. Res.

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Protein fouling is a complex mechanism. To enhance understanding on protein fouling of membranes, the target of this study is twofold: (i) to determine the relative influences of parameters via the Random Forest (RF) model and (ii) to evaluate the predictive capability of the Neural Network (NN) model. Membrane pore size is the most dominant influence on fouling followed by transmembrane pressure (TMP), while membrane configuration (i.e., flat-sheet, hollow fiber, or tubular) is the least dominant. The NN model gives modest predictive capability despite inconsistencies and variabilities of the experimental setups and protocols, which invariably affects the important parameters in the database compiled from past publications. The database was divided into microfiltration (MF) and ultrafiltration (UF) subsets based on the membrane pore size values. It was found that the dominant parameters for permeate flux are different, with membrane pore size and protein concentration being dominant for MF and UF, respectively, while TMP is dominant for protein rejection for both cases. For permeate flux, membrane material is the most dominant parameter for the non-BSA database, while membrane pore size remains the most dominant parameter for protein rejection regardless of the protein used. Results show that such data-driven RF and NN models can enhance the understanding on the relative dominance of the parameters on different phenomena and provide adequate prediction of protein fouling, in the absence of any governing equations.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding Single-Protein Fouling in Micro- and Ultrafiltration Systems via Machine-Learning-Based Models

Tanudjaja

Chew

2023

Ind. Eng. Chem. Res.

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“…Cys addition resulted in higher BSA rejection since it created the membrane surface more hydrophilic. (George et al, 2022). The membrane surface forms a hydration layer as a result of the hydrophilic feature, which might limit the space where the BSA component and membrane film can interact as illustrated in Exhibit 6(b).…”

Section: Protein Removalmentioning

confidence: 99%

Permeable and antifouling PSf‐Cys‐CuO ultrafiltration membrane for separation of biological macromolecules proteins

Sabri

Hasbullah

Jye

et al. 2023

Environmental Quality Mgmt

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Membrane technology has been extensively applied for protein separation. A membrane with reliable filtration performance and high removal efficiency is required. In this study, an ultrafiltration (UF) membrane was fabricated by dry‐wet phase inversion to incorporate copper oxide nanoparticles (CuO NPs) with a different ratio of L‐cysteine (Cys) in polysulfone (PSf). The characterization of the membrane involves using scanning electron microscopy (SEM), water contact angle, water content, pore size, and porosity analysis. The membrane performance evaluation includes flux permeation and bovine serum albumin (BSA) removal as a protein foulant. The membrane antifouling feature was examined by dynamic filtration of BSA. It was found that the Cys to CuO NPs ratio of 1.7:1 gives an optimal value on flux permeation and protein removal. The membrane exhibited high removal of BSA with 96.3%, and optimum water flux was achieved at 173.3 L/m2h, respectively. The highest permeability of aqueous BSA permeate at 500 ppm was about 111 L/m2h and 82.5 L/m2h for 1000 ppm. The enhancement of PSf‐Cys‐CuO membrane performance could be due to its lower contact angle (68.7°), high porosity (68%), and ideal pore size (46 nm) as well as showing good morphological structure. Most significantly, the inclusion of Cys improves antifouling capabilities. The membrane showed a lower chance of fouling based on the evaluation of the relative flux reduction and flux recovery ratio. Hence, the availability of Cys has a better impact on the polymer‐based membrane and seems promising for protein separation applications.

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“…Various commercial polymers are available in the market as base polymer membranes, such as polysulfone, poly(ether ether-sulfone) (PEES), polyimides, and polyethylene. PEES is chosen for its exceptional film-forming capabilities, superior mechanical and thermal properties, oxidation resistance, persistence under acidic environments, and flexible ether linkages, which offer good processability, and the benzene-sulfonyl units, which provide strong performance attributes for synthesizing UF membranes. , The flexibility of PEES results from the existence of such an aromatic group in the link between both the benzenesulfonyl and ether groups . Nonetheless, the primary issue with PEES-based base polymer membranes is their inherent hydrophobicity, which renders them susceptible to fouling and, consequently, leads to diminished membrane performance.…”

Section: Introductionmentioning

confidence: 99%

Poly(methyl vinyl ether-alt-maleic acid)-Coated Poly(ether ether) Sulfone Ultrafiltration Membranes Augmented with Silver Nanoparticles for the Removal of Proteins and Pesticides from Aqueous Solutions

Vaidyanathan,

Senthil Kumar,

George

et al. 2023

Ind. Eng. Chem. Res.

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The huge prevalence of pesticides in freshwater sources has led to a current demand for a modified polymer membrane with greater hydrophilic and antifouling qualities. Filtration of those pesticides using membranes remains a challenge due to fouling effects. Here, a ultrafiltration poly(ether ether) sulfone (PEES) polymer membrane was customized by the addition of a biocompatible poly(methyl vinyl ether-alt-maleic acid) (PMVEAMA) copolymer and by the inclusion of silver nanoparticles (AgNPs). The PEES/PMVEAMA/AgNPs polymer membrane was designed by the phase inversion method to efficiently separate proteins and pesticides. The synthesized membranes were characterized by scanning electron microscopy, X-ray diffraction, and attenuated total reflectance-Fourier transform infrared spectroscopy, which revealed the membranes' pore formation, functional group, and crystalline nature. The incorporation of 1.5 wt % AgNPs elevates the performance of the polymer membrane. The modified membrane exhibited a significant increase in contact angle (67°), water content (77%), porosity (83.9%), and flux (329 Lm −2 h −1 ). The PEES/PMVEAMA with 1.5 wt % AgNPs exhibited a molecular cutoff of 8000 Da and accelerated the rejection of pentachlorophenol from 49 to 69%. Meanwhile, the PEES/PMVEAMA/AgNPs hybrid membrane showed a flux recovery ratio of 93% for bovine serum albumin and 95% for pentachlorophenol. Significantly, the AgNPs-functionalized polymer membrane displayed reduced irreversible fouling (4.2% for pentachlorophenol and 6.2% for albumin). Thus, the current study provides a novel perspective that the integration of biobased PMVEAMA and Ag-NPs has enhanced the membrane's antifouling performance and hydrophilicity and also increased its separation of proteins and pesticides from aqueous solutions.

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Performance study of fouling resistant novel ultrafiltration membranes based on the blends of poly (ether ether sulfone)/poly (vinyl pyrrolidone)/nano-titania for the separation of humic acid, dyes and biological macromolecular proteins from aqueous solutions

Cited by 14 publications

References 53 publications

Understanding Single-Protein Fouling in Micro- and Ultrafiltration Systems via Machine-Learning-Based Models

Understanding Single-Protein Fouling in Micro- and Ultrafiltration Systems via Machine-Learning-Based Models

Permeable and antifouling PSf‐Cys‐CuO ultrafiltration membrane for separation of biological macromolecules proteins

Poly(methyl vinyl ether-alt-maleic acid)-Coated Poly(ether ether) Sulfone Ultrafiltration Membranes Augmented with Silver Nanoparticles for the Removal of Proteins and Pesticides from Aqueous Solutions

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