Use of marble and iron waste additives for enhancing arsenic and E. Coli contaminant removal capacity and strength of porous clay ceramic materials for point of use drinking water treatment
TL;DR: In this paper, the performance analysis of new clay-ceramic (CC) water filtration materials is presented, and the results demonstrate new low-cost ways of modifying strength and specific water treatment characteristics.
Abstract: This paper elaborates manufacture and performance analysis of new clay ceramic (CC) water filtration materials. The CC is manufactured from clay and sawdust mix. Waste marble powder and machined iron fines are used as additives to the mix for manufacturing the new modified materials. An equal volume of clay and sawdust were used to manufacture the control CC. Another ceramic, marble clay ceramic (MCC), was manufactured with distinct volume fractions of clay, sawdust, and marble (40:40:10). Third ceramic, ferrous clay ceramic (FCC), was manufactured from an equal volume of clay and sawdust and five percent by volume of iron fines. FCC showcased better arsenic (As (V)) contaminant removal from water at acidic pH while MCC showcased best As (V) removal at around pH of 8. Average flexural strength of MCC was comparatively better than FCC and CC. The modified materials showcased similar percolation rates at par with control CC. MCC showcased comparatively better E. coli removal capabilities than FCC and CC. Only limited volumetric addition of marble powder and iron fines were found to positively affect compressive strength. The results demonstrate new low-cost ways of modifying strength and specific water treatment characteristics of CC using waste materials from local marble-processing and iron-machining industries.
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TL;DR: In this article , a hybrid-ANN framework is proposed to estimate isothermal, kinetic and thermodynamic parameters in multicomponent metal adsorption systems. But the authors focus on the nonlinear interactions between biomaterial modifications and process attributes.
Abstract: With growing environmental consciousness, biomaterials (BMs) have garnered attention as sustainable materials for the adsorption of hazardous water contaminants. These BMs are engineered using surface treatments or physical alterations to enhance their adsorptive properties. The lab-scale methods generally employ a One Variable at a Time (OVAT) approach to analyze the impact of biomaterial modifications, their characteristics and other process variables such as pH, temperature, dosage, etc., on the removal of metals via adsorption. Although implementing the adsorption procedure using BMs seems simple, the conjugate effects of adsorbent properties and process attributes implicate complex nonlinear interactions. As a result, artificial neural networks (ANN) have gained traction in the quest to understand the complex metal adsorption processes on biomaterials, with applications in environmental remediation and water reuse. This review discusses recent progress using ANN frameworks for metal adsorption using modified biomaterials. Subsequently, the paper comprehensively evaluates the development of a hybrid-ANN system to estimate isothermal, kinetic and thermodynamic parameters in multicomponent adsorption systems.
7 citations
01 Jan 2015
TL;DR: In this paper, the equilibrium adsorption of Co(II) by marble slurry was studied and the maximum monolayer coverage (Q from Langmuir isotherm model has been found to be 322.58 mg/g, separation factor indicating a favorable adorption experiment is 0.031.
Abstract: The present paper deals with the equilibrium adsorption of Co(II) by marble slurry. The ad- sorption follows Langmuir, Freundlich and Tempkin isotherms. The maximum monolayer coverage (Q from Langmuir isotherm model has been found to be 322.58 mg/g, separation factor indicating a favorable adsorption experiment is 0.031. Adsorption intensity (1/n) has been calculated using Freundlich isother- m,which indicates favorable adsorption and correlation, values are 4.65 L/g, and 0.991 respectively. The heat of adsorption process has also been estimated using Tempkin isotherm model and found to be 5.07, which widely proves that the adsorption experiments followed both physical and chemical adsorption pro- cesses.
2 citations
Dissertation•
01 Jun 2018
1 citations
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12,240 citations
"Use of marble and iron waste additi..." refers background in this paper
...The value of 1/n < 1 (as shown in Table 5) suggested that the adsorption process was heterogeneous [67,68]....
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TL;DR: It is evident from the literature survey articles that ion-exchange, adsorption and membrane filtration are the most frequently studied for the treatment of heavy metal wastewater.
6,844 citations
"Use of marble and iron waste additi..." refers background in this paper
...The findings indicate that variation in pH influences the surface charge of the MCC, which positively influences the sorption kinetics and sorption capacity of the metal ions on the MCC surfaces [58]....
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