Shape, size and dispersion of plant-driven silver nanoparticles for removal of methylene blue dyes

Isa, Nor Ashidi Mat; Kamis, Wan Zuraida Wan; Inderan, Vicinisvarri; Husin, Nurul Izza; Ahmad, Faheem; Bashirom, Nurulhuda; Lockman, Zainovia

doi:10.1088/1742-6596/1349/1/012115

Cited by 10 publications

(5 citation statements)

References 27 publications

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“…The correlation of catalytic reduction and DO concentration has been recently discussed in the literature. ,− To better understand the impact of DO as well as pH on the rate of reduction, these parameters were monitored in situ at 20 s intervals. We probed the impact of increasing NaBH 4 concentration from 250 to 500 to 1000 mol × MB, with and without a catalyst, ( vide supra ) on the change of pH (purple curve), DO (blue curve), and catalytic rate (red curve) (Figures S4 and S5).…”

Section: Resultsmentioning

confidence: 99%

Tracking the Seconds of a Clock Reaction: A Multiparametric Experimental Study on the Catalytic Reduction of Methylene Blue

et al. 2023

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The catalytic reduction and subsequent reoxidation of methylene blue (MB) is a well-known reaction, commonly referred to as a "clock reaction". Specifically, the reduction process is accompanied by a color change from intense blue to clear and can be readily monitored by UV−vis spectroscopy via the decrease in absorbance at λ max = 664 nm, providing facile access to valuable reaction kinetics. Unsurprisingly, the reduction of methylene blue has become a widely used probe for heterogeneous catalyst reactivity. Yet, despite its broad utility, the mechanism of reduction is not well-understood. Herein, we report an experimental study on the mechanism of MB reduction using Pt/C nanoparticles. Through a multiparametric study incorporating in situ probing of reaction kinetics, pH, dissolved oxygen, and variable catalyst and reductant loading, the multiple factors impacting the reaction are disentangled. We demonstrate that the reaction steps that limit the reduction of MB are the H 2 evolution and reoxidation sequences. We limit these competitive reactions by optimizing reductant concentration and catalyst loading, N 2 purging, and restriction of O 2 redissolution. This achieves a highly competitive activity parameter of 25,740 min −1 g Pt −1 L.

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Section: Resultsmentioning

confidence: 99%

Tracking the Seconds of a Clock Reaction: A Multiparametric Experimental Study on the Catalytic Reduction of Methylene Blue

et al. 2023

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“…The rst reason is the effect of AgNPs size; the smaller the size of AgNPs, the greater the catalytic activity [41]. The catalytic activity of AgNPs depends on its size and other properties, including the uniformity of particles, shape [42], composition, the functionality of AgNPs, the concentration of AgNPs, the concentration of SB [36], and the effect of capping agent [37]. In general, AgNPs have a low shelf-life in an aqueous solution as they tend to agglomerate rapidly.…”

Section: Catalytic Study Of Sse Driven Agnpsmentioning

confidence: 99%

Shortleaf Spikesedge-Driven Silver Nanoparticles for The Reduction of Methylene Blue Dye

Isa¹,

Osman²,

Hamid³

et al. 2021

Preprint

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The textile industry is a heavy producer of wastewater, which may result in the discharge of toxic dyes into the environment. Methylene blue (MB) is an example of the most used dye in the textile industry. It is difficult to degrade MB under normal conditions due to its highly stable molecules. Therefore, a catalyst route is desired in MB reduction. The catalyst chosen in this work was silver nanoparticles (AgNPs) synthesised by a biological method utilising shortleaf spikesedge extract (SSE) as a reducing agent. The formations of SSE driven AgNPs were monitored using visual observation (colour), ultraviolet-visible spectroscopy (UV-vis), and transmission electron microscopy (TEM). The different process variables (concentration of AgNO3, concentration of SSE, reaction time, temperature and pH) upon synthesis of SSE driven AgNPs were evaluated based on the absorbance of surface plasmon resonance (SPR) band. The TEM image showed that SSE driven AgNPs are highly dispersed with a quasi-spherical shape and an average particle size of approximately 17.64 nm. For the catalytic study, the reduction of MB was evaluated using two systems. A detailed batch study of the removal efficiency (%RE) and kinetics was done at ambient temperature, various MB initial concentrations, and reaction time. The batch study for System 2 clearly showed that SSE driven AgNPs exhibited 100% reduction of MB at 30–100 mg/L initial concentration (sample coding of MB30, MB50, MB70 and MB100) between 1.5 and 5.0 min reaction time. The kinetic data best fitted a pseudo-first-order kinetic model with the highest reaction rate of 2.5715 min-1. The reduction of MB occurs via the electron relay effect. These findings demonstrate that the SSE driven AgNPs are a promising candidate with potential influence on coloured wastewater.

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“…However, the preparation process of yolk-shell structures is complicated in practical, making it difficult to precisely control their size parameters [ 14 , 15 ]. Moreover, the use of strong acids and other substances in their fabrication may lead to environmental pollution [ 16 ]. Simulating yolk-shell structures using software requires a significant amount of time, computer storage space, and labor costs for subsequent data processing and analysis.…”

Section: Introductionmentioning

confidence: 99%

A calculation method for optical properties of yolk shell based on deep learning

He,

Ma,

Zhang

et al. 2024

PLoS ONE

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The yolk shell is widely used in optoelectronic devices due to its excellent optical properties. Compared to single metal nanostructures, yolk shells have more controllable degrees of freedom, which may make experiments and simulations more complex. Using neural networks can efficiently simplify the computational process of yolk shell. In our work, the relationship between the size and the absorption efficiency of the yolk-shell structure is established using a backpropagation neural network (BPNN), significantly simplifying the calculation process while ensuring accuracy equivalent to discrete dipole scattering (DDSCAT). The absorption efficiency of the yolk shell was comprehensively described through the forward and reverse prediction processes. In forward prediction, the absorption spectrum of yolk shell is obtained through its size parameter. In reverse prediction, the size parameters of yolk shells are predicted through absorption spectra. A comparison with the traditional DDSCAT demonstrated the high precision prediction capability and fast computation of this method, with minimal memory consumption.

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Shape, size and dispersion of plant-driven silver nanoparticles for removal of methylene blue dyes

Cited by 10 publications

References 27 publications

Tracking the Seconds of a Clock Reaction: A Multiparametric Experimental Study on the Catalytic Reduction of Methylene Blue

Tracking the Seconds of a Clock Reaction: A Multiparametric Experimental Study on the Catalytic Reduction of Methylene Blue

Shortleaf Spikesedge-Driven Silver Nanoparticles for The Reduction of Methylene Blue Dye

A calculation method for optical properties of yolk shell based on deep learning

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