Fixed-bed adsorption of atrazine onto microwave irradiated Aegle marmelos Correa fruit shell: Statistical optimization, process design and breakthrough modeling

Sivarajasekar, N.; Balasubramani, K.; Mohanraj, N.; Maran, J. Prakash; Sivamani, S.; Pulikkal, Ajmal Koya; Viswanathan, Karthik

doi:10.1016/j.molliq.2017.06.064

Cited by 43 publications

(7 citation statements)

References 34 publications

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“…Table showed that the models were significant with low p values (< 0.001) for copper removal and adsorption capacity and high F values for copper removal as 12.25 and adsorption capacity as 91.03. R 2 , adjusted R 2 , coefficient of variation and adequate precision were found to be 0.957, 0.879, 5.07% and 10.33, respectively, for percentage copper removal and 0.949, 0.983, 4.86% and 29.68, respectively, for adsorption capacity, which shows the best goodness of fit between experimental and BBD predicted values [41], (Sivarajasekar et al 2017). From experiments, the maximum adsorption capacity of 94.76 mg/g was achieved at an initial concentration of copper, temperature and adsorbent dosage of 100 ppm, 38 °C and 192.5 mg per 100 mL of feed solution with the percentage copper removal of 99.61%.…”

Section: Bbd Modellingmentioning

confidence: 99%

Back-propagation neural network: Box–Behnken design modelling for optimization of copper adsorption on orange zest biochar

Sivamani¹,

Prasad²,

Nithya

et al. 2021

Int. J. Environ. Sci. Technol.

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Heavy metals adsorption by adsorbents prepared from natural materials is a low-cost effective method for their removal from aqueous environments. This study aims to assess the applicability of orange zest biochar to adsorb divalent copper (cupric chloride) from its aqueous solution by maximizing the adsorption capacity using feed-forward back-propagation neural network (FFBPNN)-Box-Behnken design (BBD) modelling. BBD modelling predicted the maximum of 99.61% copper removal at an initial concentration of copper, adsorbent dosage and temperature of 100 ppm, 192.5 mg per 100 mL of feed solution and 38 °C. The results showed the best fit between experimental, BBD and FFBPNN predicted values. Langmuir isotherm fitted well with the experimental data than Freundlich model, and the maximum adsorption capacity was found to be 116.28 mg/g. Also, adsorption kinetic data followed the Lagergren's pseudo-first-order kinetic model. Thus, the obtained results conclude that the orange zest biochar was found to be one of the potential adsorbents for the removal of divalent copper from its aqueous solution.

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Section: Bbd Modellingmentioning

confidence: 99%

Back-propagation neural network: Box–Behnken design modelling for optimization of copper adsorption on orange zest biochar

Sivamani¹,

Prasad²,

Nithya

et al. 2021

Int. J. Environ. Sci. Technol.

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“…63 Despite that, ACs are expensive and, if used to remove polar organic contaminants, demand high usage rates, due to reduced lifetime and low regeneration capacity, what increases the costs of the adsorption process. 65,195,196 Depending on the type of adsorbent, the cost of water treatment using adsorption processes is estimated to be in the range from US $10 to US $200 per million liters, while when using technologies like reverse osmosis, ion exchange, electrodialysis, and electrolysis, the cost can reach US $450 per million liters. 197 To reduce the costs of adsorption technology, the scientific community has been looking for alternative low-cost adsorbents.…”

Section: Cost Estimationmentioning

confidence: 99%

“…The ACs, especially in the granular form, are the most employed adsorbent materials with a great number of studies on its applicability available in the literature . Despite that, ACs are expensive and, if used to remove polar organic contaminants, demand high usage rates, due to reduced lifetime and low regeneration capacity, what increases the costs of the adsorption process. ,, Depending on the type of adsorbent, the cost of water treatment using adsorption processes is estimated to be in the range from US $10 to US $200 per million liters, while when using technologies like reverse osmosis, ion exchange, electrodialysis, and electrolysis, the cost can reach US $450 per million liters …”

Section: Cost Estimationmentioning

confidence: 99%

Adsorption of Pharmaceuticals from Water and Wastewater Using Nonconventional Low-Cost Materials: A Review

Andrade

Oliveira

Silva

et al. 2018

Ind. Eng. Chem. Res.

366

132

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Pharmaceuticals are environmental contaminants that have been widely detected in aquatic media. In this review, the occurrence of pharmaceuticals in the environment, its major causes, and implications along with effective procedures for their removal from contaminated water have been studied. Adsorption stands out as a promising treatment method, since it offers advantages such as lower energy consumption and simpler operation conditions in comparison to other tertiary treatments. Although commercial activated carbon is extensively studied as an adsorbent of pharmaceuticals, its large-scale application is limited by the high costs. Therefore, different nonconventional low-cost materials have been investigated and adsorbents based on clays, biochars, chitosan, agricultural and industrial wastes, and metal–organic frameworks have been addressed in many studies for pharmaceuticals uptake from water and wastewater. This article reviews key publications on this subject, discussing adsorption performance in terms of kinetics, equilibrium, thermodynamics, continuous fixed-bed process, regeneration capability, and historical, economical, and practical aspects.

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“…As the adsorption technique has high-quality treatment processes, it was favored for the expulsion of toxins, for example, dyes. Also, this technique is most desirable for dye removal because of its smooth operation, simpler design setup [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Comparative and Equilibrium Studies on Anionic and Cationic Dyes Removal by Nano-Alumina-Doped Catechol Formaldehyde Composite

Viswanathan¹,

Selvakumar

Sivarajasekar³

et al. 2020

Journal of Chemistry

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Nano-alumina-doped catechol formaldehyde polymeric composite was prepared, characterized, and applied as an adsorbent for the removal of an anionic dye Congo red (CR) and a cationic dye SafraninO (SF), by adsorption process especially from aqueous solutions. Characterizations such as particle size distribution, zeta potential, BET, FTIR, and FESEM-EDAX were carried out for the adsorbent prepared. All experiments were conducted at the batch condition to study the effects of initial dye concentration (CR: 30–90 mg/L and SF: 10–50 mg/L), pH (2–11), temperature (25–55°C), and adsorbent dosage (0.05–0.3 g) on dye removal. The isotherm models (Langmuir, Freundlich, and Temkin) were analyzed for this adsorption work. The kinetic data obtained were analyzed by the pseudo-first-order, pseudo-second-order, Bangham, and Chien–Clayton equations. Dyes adsorption data were well fitted with the Freundlich isotherm equilibrium model and the pseudo-second-order kinetic model. Study results suggested that the nano-alumina-polymeric composite could be an effective adsorbent for anionic dye rather than cationic dye.

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Fixed-bed adsorption of atrazine onto microwave irradiated Aegle marmelos Correa fruit shell: Statistical optimization, process design and breakthrough modeling

Cited by 43 publications

References 34 publications

Back-propagation neural network: Box–Behnken design modelling for optimization of copper adsorption on orange zest biochar

Back-propagation neural network: Box–Behnken design modelling for optimization of copper adsorption on orange zest biochar

Adsorption of Pharmaceuticals from Water and Wastewater Using Nonconventional Low-Cost Materials: A Review

Comparative and Equilibrium Studies on Anionic and Cationic Dyes Removal by Nano-Alumina-Doped Catechol Formaldehyde Composite

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