Studies of Adsorption of Heavy Metals onto Spent Coffee Ground: Equilibrium, Regeneration, and Dynamic Performance in a Fixed-Bed Column

Dávila-Guzmán, Nancy E.; Cerino-Córdova, F. J.; Loredo‐Cancino, Margarita; Rangel-Méndez, J. Rene; Gómez-González, R.; Soto-Regalado, Eduardo

doi:10.1155/2016/9413879

Cited by 37 publications

(22 citation statements)

References 25 publications

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“…After adsorption of Ni 2+ or Cd 2+ at a concentration of 80 ppm, desorption of the metal from the bead was performed using 0.1 M HNO 3 . Nitric acid at a concentration of 0.1 M has been used before for desorption of heavy metals from the SCGs with high desorption efficiency [47]. The effect of time in the percent of desorption was studied in the first cycle of desorption and it can be seen in Figure 15.…”

Section: Adsorption/desorption Studiesmentioning

confidence: 99%

Adsorption of Ni2+ and Cd2+ from Water by Calcium Alginate/Spent Coffee Grounds Composite Beads

2019

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The use of heavy metals in technological applications has led to detrimental effects on human health and the environment. Activated carbon and ion-exchange resins are commonly used to remove pollutants but they are expensive. Therefore, the research of low-cost alternatives derived from natural resources and organic wastes is being considered. The aim of this study considers the use of Calcium Alginate/Spent Coffee Grounds (CA-SCGs) composite beads to adsorb heavy metals from aqueous solutions, particularly, the removal of Ni 2+ or Cd 2+ at concentrations from 10 ppm to 100 ppm. CA-SCGs beads were made of equal proportions of alginate and spent coffee grounds and compared with calcium alginate beads (CA beads) and spent coffee grounds (SCGs) in terms of capacity and rate of adsorption. Three cycles of adsorption/desorption were done. The beads were characterized by Scanning Electron Microscopy coupled with an energy-dispersive X-ray spectroscopy (SEM-EDX), Fourier-transform infrared spectroscopy (FT-IR), Raman spectroscopy, and point of zero charge. Langmuir, Freundlich, and Sips models, and a pseudo-second-order kinetic equation were used. Sips model showed the best correlation with the adsorption of CA-SCGs beads with capacities of adsorption of 91.18 mg/g for cadmium and 20.96 mg/g for nickel. CA-SCGs beads had a greater adsorption than the CA beads, achieving adsorption percentages close to 100% than alginate alone, showing their effectiveness in heavy metal removal.

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Section: Adsorption/desorption Studiesmentioning

confidence: 99%

Adsorption of Ni2+ and Cd2+ from Water by Calcium Alginate/Spent Coffee Grounds Composite Beads

2019

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“…The presence of lignin was confirmed in the broad band at 3305.93 (Arabica) and 3248.24 (Robusta) cm -1 , which is mainly attributed to O-H and N-H stretching [15]. The peak present in 1012 (Arabica) and 1030.89 (Robusta) cm -1 is attributed to the presence of lignin and cellulose due to C-O deformation [16]. Lignocellulosic materials are used in removing contaminants in water [17].…”

Section: Resultsmentioning

confidence: 87%

“…The increase in the value of the breakthrough time is caused by the high dose of adsorbent in the column which resulted to the increase of possible active sites for copper adsorption [16].…”

Section: B Adsorbent Characterizationmentioning

confidence: 99%

Biosorption of Copper (II) from Simulated Wastewater Using Spent Coffee Grounds: A Column Study

Nieva¹,

Buenafe²,

Guinto³

et al. 2019

IJESD

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Biosorption of contaminant like copper using agricultural wastes like spent coffee grounds requires testing the compatibility of the sorbents with the sorbates and finding the optimum conditions for the process. This study is needed to avoid the disruptive effects of biosorption such as the generation of more wastes that eventually disrupts the balance in the environment. This paper is a baseline study to optimize the performance of adsorption of copper in wastewater using two species of spent coffee grounds i.e., Arabica and Robusta. The adsorptive capacities of pure blends of both species were compared to the 50:50 blend in a fixed-bed column. It is aimed to determine the optimum bed height, coffee variety and flow rate inside the column to reduce waste generated through experiments. It was found out that the optimum conditions were 7 cm bed height and 20 mL/min flow rate. The adsorptive capacities of the three varieties were 10.47, 13, and 15.41 mg/g for pure Arabica, 50:50 blend and pure Robusta, respectively.

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“…Compared to the wealth of literature on equilibrium and kinetic parameters for mass transfer, relatively few papers have considered sensitivity to heat transfer parameters 9,21,23,31,[40][41][42][43] . This is partially due to the simplifying assumption made in many studies [2][3][4][5][6][7][8][10][11][12][13][14][15][16][17][24][25][26]30,32,34 to neglect heat transfer and treat the entire bed as isothermal. This assumption is made despite the fact that system-level models of cyclic pressure and temperature-swing-adsorption processes are known to be highly sensitive to temperature variations 20 .…”

Section: Axial Dispersion Is a Complex Function Of Flow Conditions Anmentioning

confidence: 99%

“…Conclusions in the literature regarding sensitivity to axial dispersion are less consistent; while many researchers concluded that adsorption models are insensitive to axial dispersion 3,4,10,12,14,21,26,30 , others found the opposite to be true 16,24,25,33 . Yet others are equivocal in their conclusions.…”

Section: Introductionmentioning

confidence: 98%

Calibration and uncertainty analysis of a fixed-bed adsorption model for CO2 separation

et al. 2018

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Fixed-bed adsorption is widely used in industrial gas separation and is the primary method for atmosphere revitalization in space. This paper analyzes the uncertainty of a one-dimensional, fixed-bed adsorption model due to uncertainty in several model inputs, namely, the linear-drivingforce (LDF) mass transfer coefficient, axial dispersion, heat transfer coefficients, and adsorbent properties. The input parameter uncertainties are determined from a comprehensive survey of experimental data in the literature. The model is first calibrated against experimental data from intra-bed centerline concentration measurements to find the LDF coefficient. We then use this LDF coefficient to extract axial dispersion coefficients from mixed, downstream concentration measurements for both a small-diameter bed (dominated by wall-channeling) and a large-diameter bed (dominated by pellet-driven dispersion). The predicted effluent concentration and temperature profiles are most strongly affected by uncertainty in LDF coefficient, adsorbent density, and void fraction. The uncertainty analysis further reveals that ignoring the effect of wall-channeling on apparent axial dispersion can cause significant error in the predicted breakthrough times of smalldiameter beds.

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Studies of Adsorption of Heavy Metals onto Spent Coffee Ground: Equilibrium, Regeneration, and Dynamic Performance in a Fixed-Bed Column

Cited by 37 publications

References 25 publications

Adsorption of Ni2+ and Cd2+ from Water by Calcium Alginate/Spent Coffee Grounds Composite Beads

Adsorption of Ni2+ and Cd2+ from Water by Calcium Alginate/Spent Coffee Grounds Composite Beads

Biosorption of Copper (II) from Simulated Wastewater Using Spent Coffee Grounds: A Column Study

Calibration and uncertainty analysis of a fixed-bed adsorption model for CO2 separation

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