Removal of Cr(VI) oxoanion from contaminated water using granular jujube stems as a porous adsorbent

Salmani, Mohammad Hossein; Sahlabadi, Fateme; Eslami, Hadi; Ghaneian, Mohammad Taghi; Balaneji, Iraj Rezapour; Zad, Tahereh Jasemi

doi:10.1016/j.gsd.2018.12.001

Cited by 17 publications

(4 citation statements)

References 34 publications

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“…According to the nonlinear R 2 , the Temkin model had the lowest fit for lead, copper, and cadmium. This behavior is common in adsorption studies (Salmani et al, 2019). The results agree with the data fit to the Langmuir model, indicating the predominance of physisorption.…”

Section: Temkinsupporting

confidence: 85%

Heavy Metal Adsorption From a Multimetal Solution by Bentonite-Kaolin-Zeolite Pellets: Linear and Nonlinear Regression, and Error Analysis

CARBONEL-RAMOS,

CHIRINOS,

AGARWAL

2021

PTQ

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Background: Heavy metal pollution has significant impacts on health and ecosystems; remediation technologies can reduce the cost to solve these problems. Heavy metals present a severe problem in the environment, mainly for their tendency to persist, bioaccumulate and biomagnification in the trophic chain. Removing these toxic compounds from wastewater remains a challenging task. Aim: Heavy metal removal capacity was analyzed using adsorbent pellets made with natural bentonite, kaolin, and zeolite. This study describes the equilibrium adsorption and kinetics of metal removal by using linear and nonlinear regression analysis. Adsorption mechanisms were also analyzed. Methods: The goodness of fit of the adsorption equilibrium data was tested with the four linearized forms of the Langmuir equation, as well as the Freundlich, Temkin, and Dubinin-Radushkevich models. To choose the best-fit model with greater reliability, five error functions were used: R2, X2, SSE, ABS, and ARE. For adsorption kinetics the Pseudo First Order, Pseudo Second Order and Elovich models were studied with linear and nonlinear regression analysis. Results and Discussion: Type I linearization of the Langmuir isotherm showed the best fit for the three metals, with maximum adsorption capacities for lead, copper, and cadmium of 7.27, 1.45 and 0.28 mg/L, respectively. The results show that Pseudo Second Order with linear regression best fitted for lead and copper data and Pseudo First Order model with linear regression for cadmium. Conclusions: Nonlinear regression was found better to fit adsorption equilibrium models and linear regression to fit kinetics models. The main mechanisms responsible for adsorption in the system are thought to be ion exchange between functional groups and cations and surface charge attraction related to Van der Waals forces.

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Section: Temkinsupporting

confidence: 85%

Heavy Metal Adsorption From a Multimetal Solution by Bentonite-Kaolin-Zeolite Pellets: Linear and Nonlinear Regression, and Error Analysis

CARBONEL-RAMOS,

CHIRINOS,

AGARWAL

2021

PTQ

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“…The adsorption capacity of NNB was calculated by applying the following mass balance equation (Eq. (1)):qe=C0-Cem×VWhere, q e is amount of metal ions absorbed on the NNB (mg/g); C 0 and C e are the initial and equilibrium concentration (mg/L) of lead and zinc ions, respectively; V is the volume of metal ions solution (L) and m is mass of used adsorbent (g) [7].…”

Section: Description Of Protocolmentioning

confidence: 99%

Efficient removal of Pb(II) and Zn(II) ions from aqueous solutions by adsorption onto a native natural bentonite

Esmaeili

Eslami

2019

MethodsX

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“…Others studies just cite the popular name of the seed known as “jujube or jujuba fruit” or “jujube seed” [ 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 ], a food commonly present and consumed in the Mediterranean region [ 18 ]. From this compilation, the seeds and their derivatives (husks and pits) are the most investigated parts, and then the leaves, branches and trunk bark.…”

Section: Introductionmentioning

confidence: 99%

Pb(II) Ion Removal Potential in Chemically Modified Ziziphus joazeiro Barks

Santos

Costa²,

Menezes

et al. 2022

IJERPH

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In this study, five types of modified Ziziphus joazeiro barks were investigated for the removal of Pb(II) ions from aqueous solutions. The samples tested were natural barks, natural powder, washed with water, ethanol at 80% (EE) and 0.5 N NaOH. Batch kinetics experiments were performed under the conditions: 24–25 °C, pH 5.5–5.8, 102 mg·L−1 Pb(NO3)2, 100 rpm and 0.1 g of adsorbent, and analyses of pHpzc and Fourier transform infrared spectroscopy. All adsorbents tested showed potential to remove Pb(II) ions, but the adsorbent washed by 0.5 N NaOH obtained the highest experimental performance (25.5 mg·g−1 at 30 min), while the EE had the least performance (20.4 mg·g−1 at 60 min), and maximum removals of 99.9%. The kinetic models pointed to a probable chemisorption due to the best fit of pseudo-second order and Elovich, and Boyd’s model, suggesting that intraparticle diffusion limits the adsorption until the initial minutes of contact. The Langmuir isotherm fitted better to the experimental data for the NaOH adsorbent, with maximum adsorption capacity equal to 62.5 mg·g−1, although the Temkin model partially fitted, both suggesting the occurrence of chemisorption. The adsorption process is reversible (>81% at 20 min) and hence the adsorbents can be recycled and the Pb(II) ions recovered.

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Removal of Cr(VI) oxoanion from contaminated water using granular jujube stems as a porous adsorbent

Cited by 17 publications

References 34 publications

Heavy Metal Adsorption From a Multimetal Solution by Bentonite-Kaolin-Zeolite Pellets: Linear and Nonlinear Regression, and Error Analysis

Heavy Metal Adsorption From a Multimetal Solution by Bentonite-Kaolin-Zeolite Pellets: Linear and Nonlinear Regression, and Error Analysis

Efficient removal of Pb(II) and Zn(II) ions from aqueous solutions by adsorption onto a native natural bentonite

Pb(II) Ion Removal Potential in Chemically Modified Ziziphus joazeiro Barks

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