Adsorption of copper ion from its aqueous solution by a novel biosorbent Uncaria gambir: Equilibrium, kinetics, and thermodynamic studies

Tong, Kun; Kassim, M. Jain; Azraa, A.

doi:10.1016/j.cej.2011.03.044

Cited by 153 publications

(68 citation statements)

References 51 publications

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“…The positive value of entropy, ∆S θ indicates that the system becomes more disordered at the solid-solution interface during adsorption [33], resulting in the irreversibility of the process [34]. The positive value of enthalpy ∆H θ shows that an endothermic process occurred during adsorption of Ni(II) onto peh-g-opefb.…”

Section: Adsorption Thermodynamicmentioning

confidence: 99%

Preparation and Characterization of Poly(ethyl hydrazide) Grafted Oil Palm Empty Fruit Bunch for Removal of Ni(II) Ion in Aqueous Environment

et al. 2013

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Poly(ethyl hydrazide) grafted oil palm empty fruit bunch (peh-g-opefb) fiber has been successfully prepared by heating poly(methylacrylate)-g-opefb at 60 °C for 4 h in a solution of hydrazine hydrate in ethanol. The chelating ability of peh-g-opefb was evaluated based on removal of Ni(II) ions in aqueous solution. Adsorption of Ni(II) by peh-g-opefb was characterized based on effect of pH, isotherm, kinetic and thermodynamic study. This cheap sorbent based on oil palm empty fruit bunch fiber has a great future potential in water treatment industries based on high adsorption capacity, biodegradability and renewability.

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Section: Adsorption Thermodynamicmentioning

confidence: 99%

Preparation and Characterization of Poly(ethyl hydrazide) Grafted Oil Palm Empty Fruit Bunch for Removal of Ni(II) Ion in Aqueous Environment

et al. 2013

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“…In addition to, ΔG° values at all temperatures were negative and increased as temperature increase, which suggests that the process was spontaneous in nature and the spontaneity decreases with rising temperature. In addition, the value of ΔS° (-13.05 J/mol.K) was found to be negative due to the exchange of metal ions with more mobile ions present on the active sites of the biosorbent, which would cause a decrease in entropy during the adsorption process [14,25]. The negative value of ΔS° suggests that the adsorption process is enthalpy driven [21].…”

Section: Sorption Thermodynamicsmentioning

confidence: 99%

“…Several biosorbents, such as teak leaves powder [3], Tectona grandis L.f. leaves powder [4], Ulva fasciata sp. [5], Enteromorpha prolifera [2], dried yeast biomass [6], Cinnamomum camphora leaves powder [7], Spirulina platensis [8], cassava peel [9], red macroalgae [10], Lyngbya putealis [11], cashew nut shell [12], spent-grain [13], Uncaria gambir [14], have been reported to remove or recover copper from aqueous solutions, The black cumin, has been considered as a new biosorbent for removal of copper ions. However, there are only two studies on the removal of As (III) and arsenate (As (V)) from waste water [15] and the removal of lead from aqueous solutions [16] for the absorptive effect of black cumin.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network (ANN) approach to copper biosorption process

2016

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This paper demonstrates use of artificial neural network (ANN) model for the evaluation of copper biosorption process using black cumin. The experimental variables (temperature, biosorbent mass, initial copper concentration, initial pH) were used as the input to the constructed neural network to predict the adsorbed amounts of copper at any time as the output. The high R 2 -values, 0.89 and 0.93 for training and testing data sets, respectively; between the network prediction and the corresponding experimental data prove that modeling the biosorption process using artificial neuron network is a satisfactory method. Thermodynamic parameters such as Gibbs free energy (ΔG°), the enthalpy (ΔH°) and the entropy change of sorption (ΔS°) were also evaluated. It was found that the biosorption process was spontaneous, favorable and exothermic in nature. The equilibrium sorption of copper ions was determined from the Langmuir equation and found to be 16.13 mg/g at 293 K. A comparison between the model results and experimental data showed that the ANN model is able to predict the removal of copper using black cumin.Keywords: artificial neural network (ANN), black cumin, copper, biosorption Bakır biyosorpsiyon işlemine Yapay Sinir Ağı (ANN) yaklaşımı ÖZ Bu makale, çörek otu kullanılarak bakır biyosorpsiyon işleminin değerlendirilmesi için yapay sinir ağı (ANN) modelinin kullanımını göstermektedir. Deneysel değişkenler (sıcaklık, biyosorbent kütlesi, başlangıç bakır derişimi, başlangıç pH'ı) çıkış olarak, herhangi bir zamanda adsorplanan bakır miktarını tahmin etmek için kurulan sinir ağında girdi olarak kullanılmıştır. Ağ tahmini ve ilgili deneysel veriler arasındaki yüksek R 2 -değerleri, eğitim ve test veri setleri için sırasıyla 0,89 ve 0,93, yapay nöron ağını kullanarak biyosorpsiyon işleminin modellemede yeterli bir yöntem olduğunu kanıtlamaktadır. Gibbs serbest enerji (ΔG°), entalpi (AH°) ve sorpsiyonun entropi değişimi (ΔS°) gibi termodinamik parametreler de değerlendirildi. Biyosorpsiyon işleminin gerçekte kendiliğinden, istemli ve ekzotermik olduğu bulunmuştur. Bakır iyonunun denge sorpsiyonu, Langmuir denklemine göre belirlenmiştir ve 293 K'de 16,13 mg/g olarak bulunmuştur. Model sonuçları ve deneysel veriler arasındaki karşılalaştırma çörek otu kullanılarak bakırın giderilebileceğini göstermektedir.Anahtar Kelimeler: yapay sinir ağı (ANN), çörek otu, bakır, biyosorpsiyon

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“…One of the environmental problems experienced around the world originates from heavy metal pollution in wastewater [1], [2]. When these effluents (heavy metals) are discharged without proper treatment, the quality of receiving waters get degraded over time [3], causing severe harm to the environment and humans.…”

Section: Introductionmentioning

confidence: 99%

EXPERIMENTAL INVESTIGATION OF COPPER REMOVAL FROM AQUEOUS SOLUTION USING MUSA PARADISIACA AS A NOVEL ADSORBENT

Emenike¹,

Omole²,

Ngene³

et al. 2017

WIT Transactions on Ecology and the Environment

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The adoption of agricultural waste materials in the removal of heavy metals from contaminated waters has gained more recognition in recent times. This study capitalizes on the production of adsorbents from one of the predominant agricultural waste materials (Plantain Peel) in Ado-Odo Ota, to access its metal-removal efficiency. This work investigated Cu 2+ adsorption using activated carbon processed from chemically modified unripe plantain (Musa paradisiaca) peel. Adsorption studies were performed using batch experiments wherewith the influence of pH of the solution, initial concentration, temperature and contact time have been cross-examined. The results displayed a 99.8% removal efficiency of Cu 2+ at pH 7.5, 30°C and 150 mg/L concentration. The equilibrium adsorption capacity of unripe Musa paradisiaca peel has been obtained using linear models of Langmuir and Freundlich isotherms. The result is poised to elucidate the metal retention mechanism as a process involving ion exchange as the divalent metal ion binds to the activated unripe plantain peel.

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Adsorption of copper ion from its aqueous solution by a novel biosorbent Uncaria gambir: Equilibrium, kinetics, and thermodynamic studies

Cited by 153 publications

References 51 publications

Preparation and Characterization of Poly(ethyl hydrazide) Grafted Oil Palm Empty Fruit Bunch for Removal of Ni(II) Ion in Aqueous Environment

Preparation and Characterization of Poly(ethyl hydrazide) Grafted Oil Palm Empty Fruit Bunch for Removal of Ni(II) Ion in Aqueous Environment

Artificial neural network (ANN) approach to copper biosorption process

EXPERIMENTAL INVESTIGATION OF COPPER REMOVAL FROM AQUEOUS SOLUTION USING MUSA PARADISIACA AS A NOVEL ADSORBENT

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