Modification of PVDF membranes by incorporation Fe3O4@Xanthan gum to improve anti-fouling, anti-bacterial, and separation performance

Koyuncu, İsmail; Gül, Bahar Yavuztürk; Esmaeili, Mir Saeed; Pekgenc, Enise; Teber, Oğuz Orhun; Tuncay, Gizem; Karimi, Hamid Reza; Parvaz, Sina; Maleki, Ali; Vatanpour, Vahid

doi:10.1016/j.jece.2022.107784

Cited by 38 publications

(12 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The weight loss of 10% at 100 °C was due to the evaporation and outflow of water from the gum. This weight loss continued with increasing temperature, up to 300 °C, and after it went downhill 48 . About 50% of its weight is reduced between temperatures of 200–300 °C and its residuals weight at 800 °C is about 14%.…”

Section: Resultsmentioning

confidence: 91%

Utilizing magnetic xanthan gum nanocatalyst for the synthesis of acridindion derivatives via functionalized macrocycle Thiacalix[4]arene

Hassanzadeh-Afruzi,

Salehi,

Ranjbar

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

An effective method for synthesizing acridinedione derivatives using a xanthan gum (XG), Thiacalix[4]arene (TC4A), and iron oxide nanoparticles (IONP) have been employed to construct a stable composition, which is named Thiacalix[4]arene-Xanthan Gum@ Iron Oxide Nanoparticles (TC4A-XG@IONP). The process used to fabricate this nanocatalyst includes the in-situ magnetization of XG, its amine modification by APTES to get NH2-XG@IONP hydrogel, the synthesis of TC4A, its functionalization with epichlorohydrine, and eventually its covalent attachment onto the NH2-XG@IONP hydrogel. The structure of the TC4A-XG@IONP was characterized by different analytical methods including Fourier-transform infrared spectroscopy, X-Ray diffraction analysis (XRD), Energy Dispersive X-Ray, Thermal Gravimetry analysis, Brunauer–Emmett–Teller, Field Emission Scanning Electron Microscope and Vibration Sample Magnetomete. With magnetic saturation of 9.10 emu g−1 and ~ 73% char yields, the TC4As-XG@IONP catalytic system demonstrated superparamagnetic property and high thermal stability. The magnetic properties of the TC4A-XG@IONP nanocatalyst system imparted by IONP enable it to be conveniently isolated from the reaction mixture by using an external magnet. In the XRD pattern of the TC4As-XG@IONP nanocatalyst, characteristic peaks were observed. This nanocatalyst is used as an eco-friendly, heterogeneous, and green magnetic catalyst in the synthesis of acridinedione derivatives through the one-pot pseudo-four component reaction of dimedone, various aromatic aldehydes, and ammonium acetate or aniline/substituted aniline. A combination of 10 mg of catalyst (TC4A-XG@IONP), 2 mmol of dimedone, and 1 mmol of aldehyde at 80 °C in a ethanol at 25 mL round bottom flask, the greatest output of acridinedione was 92% in 20 min.This can be attributed to using TC4A-XG@IONP catalyst with several merits as follows: high porosity (pore volume 0.038 cm3 g−1 and Pore size 9.309 nm), large surface area (17.306 m2 g−1), three dimensional structures, and many catalytic sites to active the reactants. Additionally, the presented catalyst could be reused at least four times (92–71%) with little activity loss, suggesting its excellent stability in this multicomponent reaction. Nanocatalysts based on natural biopolymers in combination with magnetic nanoparticles and macrocycles may open up new horizons for researchers in the field.

show abstract

Section: Resultsmentioning

confidence: 91%

Utilizing magnetic xanthan gum nanocatalyst for the synthesis of acridindion derivatives via functionalized macrocycle Thiacalix[4]arene

Hassanzadeh-Afruzi,

Salehi,

Ranjbar

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…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%

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

Tanudjaja

Chew

2023

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

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.

show abstract

“…The integration of nanoparticles into membrane technology has garnered substantial attention in recent years, primarily due to their transformative potential across various applications, notably in the realm of oil–water emulsion separation (Yi et al 2013 ; Sinha Ray et al 2020 ; Nain et al 2022 ). Magnetic nanoparticles (MNPs) stand out owing to their unique physicochemical characteristics and exceptional biocompatibility, making them highly promising as additives in different types of membranes, such as polysulfone (PS), polyvinylidene fluoride (PVDF), and polyethersulfone, all widely employed for the treatment of oily wastewater (Heidi Lynn et al 2012 ; Rashdan et al 2013 ; De Sitter et al 2014 ; Homayoonfal et al 2014 ; Barroso-Solares et al 2018 ; Ramazanov et al 2020 ; Mehrnia et al 2021 ; Mirzaei et al 2021 ; Koyuncu et al 2022 ). The incorporation of MNPs into these membranes has yielded tangible benefits, particularly in terms of bolstering their antifouling properties, thereby enhancing overall performance.…”

Section: Introductionmentioning

confidence: 99%

Flexible, durable, and anti-fouling maghemite copper oxide nanocomposite-based membrane with ultra-high flux and efficiency for oil-in-water emulsions separation

Mubarak,

Selim,

Hawash

et al. 2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

In this study, we developed a novel nanocomposite-based membrane using maghemite copper oxide (MC) to enhance the separation efficiency of poly(vinyl chloride) (PVC) membranes for oil-in-water emulsions. The MC nanocomposite was synthesized using a co-precipitation method and incorporated into a PVC matrix by casting. The resulting nanocomposite-based membrane demonstrated a high degree of crystallinity and well-dispersed nanostructure, as confirmed by TEM, SEM, XRD, and FT-IR analyses. The performance of the membrane was evaluated in terms of water flux, solute rejection, and anti-fouling properties. The pinnacle of performance was unequivocally reached with a solution dosage of 50 mL, a solution concentration of 100 mg L−1, and a pump pressure of 2 bar, ensuring that every facet of the membrane’s potential was fully harnessed. The new fabricated membrane exhibited superior efficiency for oil–water separation, with a rejection rate of 98% and an ultra-high flux of 0.102 L/m2 h compared to pure PVC membranes with about 90% rejection rate and an ultra-high flux of 0.085 L/m2 h. Furthermore, meticulous contact angle measurements revealed that the PMC nanocomposite membrane exhibited markedly lower contact angles (65° with water, 50° with ethanol, and 25° with hexane) compared to PVC membranes. This substantial reduction, transitioning from 85 to 65° with water, 65 to 50° with ethanol, and 45 to 25° with hexane for pure PVC membranes, underscores the profound enhancement in hydrophilicity attributed to the heightened nanoparticle content. Importantly, the rejection efficiency remained stable over five cycles, indicating excellent anti-fouling and cycling stability. The results highlight the potential of the maghemite copper oxide nanocomposite-based PVC membrane as a promising material for effective oil-in-water emulsion separation. This development opens up new possibilities for more flexible, durable, and anti-fouling membranes, making them ideal candidates for potential applications in separation technology. The presented findings provide valuable information for the advancement of membrane technology and its utilization in various industries, addressing the pressing challenge of oil-induced water pollution and promoting environmental sustainability. Graphical Abstract

show abstract

Modification of PVDF membranes by incorporation Fe3O4@Xanthan gum to improve anti-fouling, anti-bacterial, and separation performance

Cited by 38 publications

References 66 publications

Utilizing magnetic xanthan gum nanocatalyst for the synthesis of acridindion derivatives via functionalized macrocycle Thiacalix[4]arene

Utilizing magnetic xanthan gum nanocatalyst for the synthesis of acridindion derivatives via functionalized macrocycle Thiacalix[4]arene

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

Flexible, durable, and anti-fouling maghemite copper oxide nanocomposite-based membrane with ultra-high flux and efficiency for oil-in-water emulsions separation

Contact Info

Product

Resources

About