Utilization of iron waste from steel industries in persulfate activation for effective degradation of dye solutions

Mensah, Kenneth; Samy, Mahmoud; Ezz, Hani; Elkady, M.F.; Shokry, Hassan

doi:10.1016/j.jenvman.2022.115108

Cited by 36 publications

(8 citation statements)

References 53 publications

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“…The significant peak at around 45 o is ascribed to the NZVI diffraction plane (110) (JCPDS, file No. 87-0722), whereas there is no peak nearly 35° is imputed to the (311) diffraction plane of Fe 3 O 4 , confirming there is no or rare formation of the iron oxide layer on the NZVI surface during the preparation process 39,40 . Chemical structures of the three zero-valent based nanomaterials were confirmed using FTIR analysis.…”

Section: Resultsmentioning

confidence: 84%

The superior performance of silica gel supported nano zero-valent iron for simultaneous removal of Cr (VI)

Salama

Samy

Shokry

et al. 2022

Sci Rep

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Pure nano zero-valent iron (NZVI) was fabricated under optimum conditions based on material production yield and its efficiency toward acid blue dye-25 decolorization. The optimum prepared bare NZVI was immobilized with two different supports of silica and starch to fabricate their composites nanomaterials. The three different prepared zero-valent iron-based nanomaterials were evaluated for removal of hexavalent chromium (Cr(VI)). The silica-modified NZVI recorded the most outstanding removal efficiency for Cr(VI) compared to pristine NZVI and starch-modified NZVI. The removal efficiency of Cr(VI) was improved under acidic conditions and decreased with raising the initial concentration of Cr(VI). The co-existence of cations, anions, and humic acid reduced Cr(VI) removal efficiency. The removal efficiency was ameliorated from 96.8% to 100% after adding 0.75 mM of H2O2. The reusability of silica-modified NZVI for six cycles of Cr(VI) removal was investigated and the removal mechanism was suggested as the physicochemical process. Based on Langmuir isotherm, the maximal Cr(VI) removal capacity attained 149.25 mg/g. Kinetic and equilibrium data were efficiently fitted using the pseudo-second-order and Langmuir models, respectively confirming the proposed mechanism. Diffusion models affirmed that the adsorption rate was governed by intraparticle diffusion. Adsorption thermodynamic study suggested the spontaneity and exothermic nature of the adsorption process. This study sheds light on the technology that has potential for magnetic separation and long-term use for effective removal of emerging water pollutants.

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Section: Resultsmentioning

confidence: 84%

The superior performance of silica gel supported nano zero-valent iron for simultaneous removal of Cr (VI)

Salama

Samy

Shokry

et al. 2022

Sci Rep

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“…The peaks detected at 1643.65 cm −1 and 1135.76 cm −1 were attributed to the O-H stretch vibration [29]. A peak at 1430.05 cm −1 was also noticed, indicating the bending vibrations of H 2 O adsorbed onto the catalyst material surface [30]. The peaks in the region below 700 cm −1 could identify the metal-oxygen bonds [31], e.g., the peaks at 681.21 cm −1 and 591.67 cm −1 represented the Mg-O bond, and the peak at 424.57 cm −1 denoted the Zn-O bond.…”

Section: Ftir Characterizationmentioning

confidence: 91%

Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Ngulube,

Abdelhaleem,

Fujii

et al. 2024

Sustainability

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Recently, removing dyes from wastewater by photocatalysis has been extensively studied by several researchers. However, there exists a research gap in optimizing the photocatalytic process parameters using artificial intelligence to maintain the associated techno-economic feasibility. Hence, this investigation attempts to optimize the photocatalytic degradation of methylene blue (MB) dye using an artificial neural network (ANN) model to minimize the capital and running costs, which is beneficial for industrial applications. A ZnO/MgO photocatalyst was synthesized, showing an energy band gap of 2.96 eV, crystallinity index of 71.92%, pore volume of 0.529 cm3/g, surface area of 30.536 m2/g, and multiple surface functional groups. An ANN model, with a 4-8-1 topology, trainlm training function, and feed-forward back-propagation algorithm, succeeded in predicting the MB removal efficiency (R2 = 0.946 and mean squared error = 11.2). The ANN-based optimized condition depicted that over 99% of MB could be removed under C0 = 16.42 mg/L, pH = 9.95, and catalyst dosage = 905 mg/L within 174 min. This optimum condition corresponded to a treatment cost of USD 8.52/m3 cheaper than the price estimated from the unoptimized photocatalytic system by ≈7%. The study outputs revealed positive correlations with the sustainable development goals accompanied by pollution reduction, human health protection, and aquatic species conservation.

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“…The peak at 24.67 • is attributed to the (002) diffraction plane of graphene [3]. The sharp peak at 44.4 • is attributed to the (110) diffraction plane of ZVI-NPs, whereas the peaks at 31.7 • , 35.56 • , 51.82 • and 59.92 • are attributed to the iron oxides formed on the ZVI surface due to the oxidation that might be occurred during washing, drying and processing of the nanocomposite [2,31].…”

Section: Characterization Of Zvi Graphene Nanocompositementioning

confidence: 99%

“…The expansion of industrial activities such as cosmetics, leather, ink, textiles and printing contributes to the release of heavily contaminated effluents containing dyes to water streams [1,2]. Azo dyes constitute almost 50% of the global production (700,000 ton/year) and during the dyeing process, about 20% of the dyes can be discharged to water sources [3].…”

Section: Introductionmentioning

confidence: 99%

Novel Biosynthesis of Graphene-Supported Zero-Valent Iron Nanohybrid for Efficient Decolorization of Acid and Basic Dyes

et al. 2022

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Herein, respiratory nitrate reductases (NAR) were utilized in the biosynthesis of zero-valent iron (ZVI) graphene nanocomposite as a simultaneous reducing and capping agent, for the first time, to efficiently adsorb methylene blue (MB) and direct red-81 (DR-81). Under anaerobic conditions, the greenly synthesized graphene was incubated with iron precursor in the presence of crude-NAR enzyme for 48 h to obtain the ZVI graphene composite followed by characterizing this composite using physiochemical analyses. Scanning and transmission electron microscopy, energy dispersive X-ray spectroscopy and X-ray diffraction techniques assured the chemical composition and the interaction between ZVI and graphene. The influences of operating conditions such as contact time, pH and adsorbent dose on the adsorption efficacy were explored in the case of ZVI graphene, graphene and ZVI. ZVI graphene nanocomposite displayed the highest removal efficiency of MB and DR-81 compared to graphene and ZVI-NPs. The removal percentages of DR-81 and MB by ZVI graphene nanocomposites were 88.3 ± 2.66% and 87.6 ± 2.1%, respectively, at pH 7, adsorbent dose 20 mg/50 mL, initial MB or DR-81 concentration of 10 mg/L and shaking speed of 150 rpm. A pseudo first-order model could describe the adsorption kinetics, and the adsorption mechanism was discussed. The promising results of the current study support the potential of the recruitment of ZVI graphene nanocomposites in eliminating various pollutants from industrial effluents on a larger scale. Further, the prepared nanohybrid can be used in other applications such as photocatalysis, Fenton and persulfate activation processes.

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Utilization of iron waste from steel industries in persulfate activation for effective degradation of dye solutions

Cited by 36 publications

References 53 publications

The superior performance of silica gel supported nano zero-valent iron for simultaneous removal of Cr (VI)

The superior performance of silica gel supported nano zero-valent iron for simultaneous removal of Cr (VI)

Synergism of Artificial Intelligence and Techno-Economic for Sustainable Treatment of Methylene Blue Dye-Containing Wastewater by Photocatalysis

Novel Biosynthesis of Graphene-Supported Zero-Valent Iron Nanohybrid for Efficient Decolorization of Acid and Basic Dyes

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