Dispersion stability of multi-walled carbon nanotubes in catanionic surfactant mixtures

Javadian, Soheila; Motaee, Ali; Sharifi, Maryam; Aghdastinat, Hasti; Taghavi, Fariba

doi:10.1016/j.colsurfa.2017.07.081

Cited by 42 publications

(10 citation statements)

References 49 publications

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“…The much smaller fraction of active laccase indicates that substantial amounts of laccase were inactivated by the reaction with As (III). As the reaction sites of laccase were coppers, a dialysis tube with 3 kDa molecular weight cutoff was utilized to detect the concentration of copper released during the reaction, 42 and it was found that neither protein nor laccase activity was detected in any of the filtrates. Figure 3A presents copper concentrations measured in the filtrates of solutions that had experienced reactions at different time, and its concentration increased to 33.8 ± 2.35 μg L −1 with the reaction time.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

Inactivation of Laccase by the Attack of As (III) Reaction in Water

Lü

Dong

et al. 2018

Environ. Sci. Technol.

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Laccase is a multicopper oxidase containing four coppers as reaction sites, including one type 1, one type 2, and two type 3. We here provide the first experimental data showing that As (III) can be effectively removed from water and transformed to As (V) through reactions mediated by laccase with the presence of oxygen. To this end, the As (III) removal, As (V) yields, total protein, active laccase, and copper concentrations in the aqueous phase were determined, respectively. Additionally, electron paramagnetic resonance spectra and UV-vis spectra were applied to probe possible structural changes of the laccase during the reaction. The data offer the first evidence that laccase can be inactivated by As (III) attack thus leading to the release of type 2 copper. The released copper has no reactivity with the As (III). These findings provide new ideas into a significant pathway likely to master the environmental transformation of arsenite, and advance the understanding of laccase inactivation mechanisms, thus providing a foundation for optimization of enzyme-based processes and potential development for removal and remediation of arsenite contamination in the environment.

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Section: ■ Results and Discussionmentioning

confidence: 99%

Inactivation of Laccase by the Attack of As (III) Reaction in Water

Lü

Dong

et al. 2018

Environ. Sci. Technol.

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“…Briefly, dispersions were prepared by mixing 125 mg of graphite powder in 25 mL of aqueous solutions containing the abovementioned concentrations of the surfactants. The as-prepared dispersions were stirred for 15 h using a magnetic stirrer (model, MS-MP8) and then sonicated for 5 h using an ultrasonic cleaner set (model, WUC-D10H) at an average power of 100 W. To reduce the effect of increasing temperature that can cause chemical degradation during the sonication process, the temperature was kept within a range of 25–30 °C using an ice bath . Next, the dispersions were centrifuged for 10 min at 10 000 rpm (Heal Force, model Neofuge 15) to remove most of the larger flakes.…”

Section: Methodsmentioning

confidence: 99%

Influence of Adsorption Energy in Graphene Production via Surfactant-Assisted Exfoliation of Graphite: A Graphene-Dispersant Design

Motaee

Javadian

Khosravian

2021

ACS Appl. Nano Mater.

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It has been reported that the dispersing ability of a given surfactant in surfactant-assisted liquid-phase exfoliation of graphite is extremely affected by its adsorption energy on graphene nanosheets. This study employs computational and experimental techniques to analyze the true relationship between adsorption energy and the dispersing ability of a group of surfactants in the surfactant-assisted liquid-phase exfoliation of graphite. In the first section, adsorption energies computed for a group of homologous surfactants with different hydrocarbon tail lengths are used to predict dispersing-ability trends. It is found that the adsorption energy of the surfactants correlates directly with their tail length. In light of the literature, it is therefore expected that the surfactant with the highest adsorption energy is most effective at dispersing. The experimental section examines this expectation and shows that this is not guaranteed as a general rule. Based on the experimental results, this expectation can be met when surfactant concentrations are quite below surfactants’ critical micelle concentrations (CMCs) but fails at concentrations near or exceeding CMCs. Finally, quantum computation and molecular dynamics simulations are employed to justify the dispersing-ability trend observed at higher concentrations. Results demonstrate that the molecular size of the surfactants becomes considerable at these concentrations. In view of this, a new quantity, “adsorption energy per molecular volume”, is proposed to explain the behavior of the surfactants at high concentrations. Using this new quantity, the dispersing-ability trend observed at higher concentrations is explained.

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“…All resulting aqueous solutions were sonicated for 1 h with an ultrasonic homogenizer (Bandelin Sonopuls® UW2200) with active intervals of 0.1 s, passive intervals of 0.9 s, amplitude fixed at 50% and a power equals to 200 W. Subsequently, the solutions were centrifuged for 5 min at 2680 g0 in order to bring bundles as well as residual catalyst particles to the bottom of the centrifuge tubes [17], [19], [25], [27], [36]. The supernatants were selected and further characterized.…”

Section: Dispersion Of Mwnt In Various Surfactants Solutionmentioning

confidence: 99%

Optimization of highly concentrated dispersions of multi-walled carbon nanotubes with emphasis on surfactant content and carbon nanotubes quality

Pontoreau

Emmanuel²,

Bourda³

et al. 2020

Nanotechnology

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Optimized multi-wall carbon nanotubes (MWNT) suspensions in aqueous solution have been obtained by joint use of ultrasonification and surfactant. A simple experimental procedure has been established to efficiently evaluate the dependence of the surfactant concentration on the MWNT concentration stable in suspension. The study of 3 different surfactants and MWNT provided by 3 suppliers showed that a threshold surfactant concentration exists above which the MWNT concentration is maximum. Furthermore, it is demonstrated that the maximum MWNT concentration achievable varies from 0.50 to 7.5 g/L depending mainly on quality of the MWNT determined by Raman spectroscopy analysis.

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Dispersion stability of multi-walled carbon nanotubes in catanionic surfactant mixtures

Cited by 42 publications

References 49 publications

Inactivation of Laccase by the Attack of As (III) Reaction in Water

Inactivation of Laccase by the Attack of As (III) Reaction in Water

Influence of Adsorption Energy in Graphene Production via Surfactant-Assisted Exfoliation of Graphite: A Graphene-Dispersant Design

Optimization of highly concentrated dispersions of multi-walled carbon nanotubes with emphasis on surfactant content and carbon nanotubes quality

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