Arsenic Removal from Water by Sugarcane Bagasse: An Application of Response Surface Methodology (RSM)

Tajernia, Hamid; Ebadi, Taghi; Nasernejad, Bahram; Ghafori, Maryam

doi:10.1007/s11270-014-2028-4

Cited by 48 publications

(19 citation statements)

References 52 publications

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“…Higher correlation coefficient values (R 2 > 0.92) were found for all plants for the Freundlich isotherm, except Pteris vittata, which confirmed that the biosorption of As(III) ions is of multilayer type [109]. Removal of As(III) was evaluated on sugarcane bagasse and compared with the efficiency of activated carbon [120] and A. auriculiformis leaves [121]. It was shown that the adsorption of As fits well with the Langmuir as well as Freundlich isotherm models for sugarcane bagasse, activated charcoal (R 2 > 0.98), and A. auriculiformis leaves according to the correlation coefficient values.…”

Section: Freundlich Isotherm Modelmentioning

confidence: 55%

“…Sugarcane bagasse (SCB), an industrial by‐product of the sugar industry contains large quantities of cellulose and lignin and thus can be used as biosorbent for As. Tajernia et al conducted a study to evaluate the feasibility of using SCB to remove As(III) from water and compare the results with the efficiency of activated carbon (AC). It was revealed that AC and SCB removed up to 89 and 98% of As, respectively.…”

Section: Comparative Studies Of As Uptakementioning

confidence: 99%

“…The correlation coefficients indicated that the adsorption of As(III) on the nonliving biomass of B. cereus , Rhodococcus sp. , S. cerevisiae biomass , banana peel , glutaraldehyde cross‐linked chitosan beads , sugarcane bagasse was well defined in terms of the pseudo‐second order model. In addition, As(III) and As(V) adsorption on mosambi peel , Arthrobacter sp.…”

Section: Biosorption Kinetics and Thermodynamicsmentioning

confidence: 99%

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Review on Biosorption of Arsenic From Contaminated Water

Dadwal

Mishra

2017

CLEAN Soil Air Water

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Arsenic contamination in water is a worldwide problem. It is spreading in the environment as a result of numerous natural and anthropogenic sources having a massive influence on health of human and ecological systems. In order to mitigate this problem, there are various conventional technologies available for the removal of arsenic like oxidation, coagulation and flocculation, ion exchange, and membrane processes. However, there are various limitations associated with these techniques such as high cost and generation of toxic byproducts due to which attention has been paid to biosorption in the past few years, as it is an eco‐friendly as well as cost‐effective technique. Arsenic biosorption by various low‐cost adsorbents and biosorbents such as activated carbons, algae, submerged plants, bacteria, fungi, plant, and fruit wastes have been surveyed and critically reviewed in this paper along with their sorption efficiencies. Furthermore, the nonlinear models of adsorption dynamics and thermodynamic feasibility of arsenic biosorption together with detailed analysis of biological mechanisms of arsenic ion uptake by bacteria, fungi and algae has been discussed in detail in the present work. Alternatives of disposal of arsenic loaded sludge obtained after the biosorption of arsenic has also been addressed.

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Section: Freundlich Isotherm Modelmentioning

confidence: 55%

Section: Comparative Studies Of As Uptakementioning

confidence: 99%

Section: Biosorption Kinetics and Thermodynamicsmentioning

confidence: 99%

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Review on Biosorption of Arsenic From Contaminated Water

Dadwal

Mishra

2017

CLEAN Soil Air Water

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“…The broad peak observed at 3,334.33 cm -1 was due to the stretching vibration of the -OH groups. The peak located at 1,730 cm -1 was C=O stretching carbonyl in non-conjugated ketones and ester groups (Tajernia et al, 2014). The band at the region 1,600-1,590 cm -1 was represented skeletal vibrations of the benzene ring, and at the region of 1,420-1,300 cm -1 was attributed to C = C-H in-plane bending indicating several bands of cellulose and xylose (Sharma and Kaur, 2011).…”

Section: Resultsmentioning

confidence: 97%

“…The nature of these oxygen surface groups-carboxyl, carbonyl, phenol, ether, and lactone-is responsible for the basic or acid character of the carbon, which is a key parameter for an efficient adsorption between the adsorbent and the adsorbate (Martins and Nunes, 2015). Biosorption process by agricultural by-product is a friendly approach and has been proved to be a cost-effective and nonhazardous technology for the removal of heavy metals from water (Tajernia et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Adsorption of Fe(II) Solution by Sugarcane Bagasse and Activated Carbon Prepared from Sugarcane Bagasse

Sawasdee¹,

Watcharabundit²

2019

CMUJNS

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Fe(II) contaminant in groundwater is one of the most important in the environmental pollutions as it affects the taste, esthetic quality of the water and turns the color of the water to red-brown. Moreover, when Fe(II) contaminate in large amounts, it is harmful to health. The objective of this study was to evaluate the performance of Fe(II) removal in aqueous solution by the low-cost adsorbents namely, sugarcane bagasse (SB) and activated carbon prepared from sugarcane bagasse (ACSB). The two adsorbents were characterized by BET, FTIR, SEM, and XRF. The adsorption behavior of SB and ACSB for Fe(II) in aqueous solution was investigated as the function of pH (1-5), contact time (5-360 min), initial Fe(II) concentration (50-250 mg/L), and temperature (20-40 o C). The adsorption data were analyzed by isotherm and kinetic models. The experimental equilibrium data were best fitted with the Langmuir isotherm model and the maximum monolayer adsorption capacity values were 39.52 and 131.57 mg/g for the SB and the ACSB respectively. The kinetic adsorption data were found to fit well with the pseudo-second-order kinetic and intraparticle diffusion models. Thermodynamic analysis results showed that the adsorption of Fe(II) was spontaneous and endothermic in nature, and was controlled by physical mechanism. In summary, the findings suggested that SB and ACSB were efficient adsorbents, and ACSB showed higher removal of Fe(II) from aqueous solution.

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Modelling and Optimization of As(III) Adsorption onto Thiol‐Functionalized Bentonite from Aqueous Solutions Using Response Surface Methodology Approach

2018

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The aim of the present work was to investigate thiol‐functionalized bentonite (TFB) as a novel adsorbent for the adsorption of As(III) from aqueous environments and to determine optimal adsorption conditions. The response surface methodology (RSM) was applied to analyze the most significant variables for adsorption including initial pH, temperature (°C, T), initial As(III) concentration (mgL−1, Co), adsorbent dosage (g, m) and contact time (min., t). The optimum adsorption conditions according to the RSM were found to be 5.98, 42.87 °C, 31.02 mgL−1, 0.33 g and 127.48 min for initial pH, T, Co, m and t, respectively. Under these conditions obtained by the model, the maximum percentage of As(III) adsorption and adsorption capacity were found to be 91.01% and 8.56 mgg−1, respectively. The kinetic studies showed that As(III) adsorption followed a pseudo‐second‐order kinetic model and the rate was controlled by both intraparticle and film diffusion. Experimental data were compared with linear isotherm models and it was found that the adsorption data has better fit to the Langmuir isotherm model. Furthermore, the thermodynamic studies showed that the adsorption of As(III) was endothermic, possible and natural. Based on all these conclusions, it can be said that TFB has high potential for As(III) removal from aqueous environments.

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Arsenic Removal from Water by Sugarcane Bagasse: An Application of Response Surface Methodology (RSM)

Cited by 48 publications

References 52 publications

Review on Biosorption of Arsenic From Contaminated Water

Review on Biosorption of Arsenic From Contaminated Water

Adsorption of Fe(II) Solution by Sugarcane Bagasse and Activated Carbon Prepared from Sugarcane Bagasse

Modelling and Optimization of As(III) Adsorption onto Thiol‐Functionalized Bentonite from Aqueous Solutions Using Response Surface Methodology Approach

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