Removal Of Nickel Research Articles

Controlling metal ion migration in contaminated groundwater with Iraqi clay barriers for water resource protection.

This study investigates the effectiveness of using Iraqi clay as a low-permeability layer to prevent the migration of lead and nickel ions in groundwater-aquifers. Tests of batch operation have been conducted to determine the optimal conditions for removing Pb2+ ions, which were found to be 120 minutes of contact time, a pH of 5, 0.12 g of clay per 100 mL of solution, and an agitation of 250 rpm. These conditions resulted in a 90% removal efficiency for a 50 mg L-1 initial concentration of lead ions. To remove nickel ions with an efficiency of 80%, the optimal conditions were 60 minutes of contact time, a pH of 6, 12 g of clay per 100 mL of solution, and an agitation of 250 rpm. Several sorption models were evaluated, and the Langmuir formula was found to be the most effective. The highest sorption capacities were 1.75 and 137 mg g-1 for nickel and lead ions, respectively. The spread of metal ions was simulated using finite element analysis in the COMSOL multiphysics simulation software, taking into account the presence of a clay barrier. The results showed that the barrier creates low-discharge zones along the down-gradient of the barrier, reducing the rate of pollutant migration to protect the water sources.

Synthesized activated carbon derived from discarded styrofoam and effectively removal of nickel (II) from aqueous solutions

Synthesized activated carbon derived from discarded styrofoam and effectively removal of nickel (II) from aqueous solutions

Biosorption for Nickel Removal with Microbial and Plant-Derived Biomasses: A Review Study

Biosorption for Nickel Removal with Microbial and Plant-Derived Biomasses: A Review Study

Nickel removal from simulated wastewater using a novel bio-electrochemical cell with packed bed rotating cylinder cathode

In the present study, a microbial electrolysis cell (MEC) with a new design using a packed bed rotating cathode was examined for the removal of nickel from simulated wastewater. Effects of the applied voltage, the initial nickel concentration in the catholyte, the catholyte's initial pH, and the cathode's rotation speed were investigated. Results showed that nickel removal efficiency increased with increasing the applied voltage, decreasing the initial concentration of nickel, increasing the pH up to 6, and increasing the rotation speed up to 400 rpm. Many different behaviors of concentration decay with time for packed bed rotating cathode and smooth cylinder rotating cathode were observed. The concentration profile was approximately linear in the case of a smooth rotating electrode and an exponential decay concerning the packed bed electrode. The best-operating conditions were an applied voltage of 1.1 V, an initial nickel concentration of 100 ppm, an initial pH of 6, and a rotation speed of 300 rpm in which a removal efficiency of 99.7% was obtained with an energy consumption of 0.88 kWh/kg Ni that is lower than the energy required for removal of nickel by the conventional electrolysis method. These results demonstrate that the MEC with the new design can be an alternative process to effectively remove Ni from wastewater at lower cost and high efficiency.

Magnetic layered double hydroxide composite as new adsorbent for efficient Cu (II) and Ni (II) ions removal from aqueous samples: Adsorption mechanism investigation and parameters optimization

In this work, the magnetic layered double hydroxide composite as a new adsorbent was synthesized and applied for efficient copper (II) and nickel (II) ions removal from aqueous samples. After fabrication, the adsorbent was identified and characterized via Fourier-transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), Field-emission scanning electron microscopy (FE-SEM), Energy-dispersive X-ray spectroscopy and vibrating sample magnetometer (VSM), while FE-SEM reveals and denote layered structure of present adsorbent. The magnetic strength of 20.34 emu g−1 supplies sufficient magnetic property which leads to a solution fast separation of the adsorbent from the sample solution by an external magnet. Then, central composite design (CCD) based on response surface methodology (RSM) was used to optimize the effects of various parameters on the removal process and accordingly best operational conditions was fixed at: 0.039 g of adsorbent, 6.31 min sonication, pH (8) and 17 mgl−1 of both copper (II) and nickel (II) ions concentrations, respectively. Moreover, the “Lack of Fit p-values” of analysis of variance were obtained to be 0.3758 and 0.8750 for nickel (II) and copper (II) ions, respectively which is not significant value denoting suitability of the current model. Amongst different isotherm and kinetic models, the current adsorption process followed the Freundlich and pseudo-second-order models, while the criterion for judgment is based on their higher correlation coefficients (more than 0.9) compared to other models. Kinetic judgment is based on the closeness of experimental and theoretical adsorption capacity and higher R2 values. The Freundlich model based on the multilayer process occurs owing to the adsorption of ions onto the heterogeneous surface of the adsorbent. The adsorbent showed the maximum adsorption capacities of 200.00 mg g−1 and 109.92 mg g−1 for Cu2+ and Ni2+ ions, respectively. Experimental results explore that the chemical and electrostatic interactions were responsible for the under-study model ions. The relative standard deviations assign to both metal ions adsorption was 1.63–3.78% representing the applicability of the composite for practical purposes.

Dynamic Removal of Nickel (II) on Elaeis guineensis Waste Bed: Study of the Breakage Curve and Simulation.

This research focused on the use of residual fiber from oil palm (Elaeis guineensis) for Ni (II) adsorption in a packed bed column. An analysis was conducted on the effect and statistical incidence of changes in temperature, adsorbent particle size, and bed height on the adsorption process. The results showed that particle size and bed height significantly affect the adsorption of Ni (II) ions, reaching adsorption efficiencies between 87.24 and 99.86%. A maximum adsorption capacity of 13.48 mg/g was obtained in the bed with a break time of 180 min. The Ni (II) adsorption in the dynamic system was evaluated by the analysis of the breakage curve with different theoretical models: Yoon-Nelson, dose-response, and Adams-Bohart; the dose-response model was the most appropriate to describe the behavior of the packed bed with an R2 of 84.56%. The breakthrough curve obtained from Aspen Adsorption® appropriately describes the experimental data with an R2 of 0.999. These results indicate that the evaluated bioadsorbent can be recommended for the elimination of Ni (II) in aqueous solutions in a dynamic system, and the simulation of the process can be a tool for the scalability of the process.

Coagulation removal of nickel (II) ions by ferric chloride: Efficiency and mechanism.

Removal of heavy metal ions, in particular, divalent nickel ions from natural and wastewater, is of great importance for the environment. Nickel (II) ions are very toxic and provoke many diseases. The purpose of this work was to study the possibility of removing toxic nickel (II) ions from polluted water using an iron (III) chloride (FeCl3) coagulant. It is shown that the removal of nickel ions from aqueous solution by iron (III) hydroxide precipitate formed during the coagulation process at pH7 and 8 is described with satisfactory accuracy by the classical adsorption isotherms of Freundlich, Langmuir, and Dubinin-Radushkevich. The studies performed with the use of X-ray powder diffraction and thermal analyses, IR, Raman, and Mössbauer spectroscopy have shown that the uptake of nickel ions by iron (III) hydroxide precipitate is due to simple physical adsorption and is not accompanied by the formation of mixed iron and nickel compounds. No alloying of the formed iron (III) hydroxide precipitate with nickel ions takes place either. The formed iron (III) hydroxide precipitate is a two-line ferrihydrite having the gross formula Fe2 O3 × 3H2 O. Its sorption capacity for nickel ions is almost an order of magnitude higher than that of some mineral and carbon sorbents, and at pH7 and 8, it is 60.5 and 141.9mg/g, respectively. PRACTITIONER POINTS: Coagulant FeCl3 cleans contaminated solutions from Ni(II) ions. Iron (III) hydroxide precipitated at pH 7 and 8 is a two-line ferrihydrite Fe2 O3 × 3H2 O. Removing of Ni(II) ions is described by classical adsorption isotherms. The most complete removal of Ni(II) ions occurs at pH = 8.

Potential of Lemna minor and Eichhornia crassipes for the phytoremediation of water contaminated with Nickel (II).

Phytoextraction of Nickel (II) in water by two types of aquatic macrophytes (Lemna minor and Eichhornia crassipes) was investigated using synthetic aqueous solutions of NiSO4 at concentrations of 0.5, 1.5 and 2.5mg/L. The toxic effects of nickel salt in plants were evaluated through the presence of necrosis and chlorosis. The bioconcentration factor, Nickel (II) removal efficiency and kinetics of removal were also calculated. Results of this study show bioconcentration factors higher than 1000, which categorize L. minor and E. crassipes as hyperaccumulators. Besides, L. minor presented a removal percentage higher than 68%, compared to E. crassipes that did not exceed 50% in any of the three concentrations studied. However, E. crassipes showed better resistance to the effects of nickel and obtained a greater removal capacity during the phytoremediation process that lasted for 10days. In contrast, L. minor suffered necrosis and chlorosis in a concentration-dependent way. Consequently, both macrophytes are sustainable alternatives for nickel removal from contaminated water.

Studying Different Operating Conditions on Reverse Osmosis Performance in the Treatment of Wastewater Containing Nickel (II) Ions.

The reverse osmosis performance in removing nickel ions from artificial wastewater was experimentally and mathematically assessed. The impact of temperature, pressure, feed concentration, and feed flow rate on the permeate flux and Ni (II) rejection % were studied. Experiments were conducted using a SEPA CF042 Membrane Test Skid-TFC BW30XFR with applied pressures of 10, 20, 30, and 40 bar and feed concentrations of 25, 50, 100, and 150 ppm with varying operating temperatures of 25, 35, and 45 °C, while the feed flow rate was changed between 2, 3.2, and 4.4 L/min. The permeate flux and the Ni (II) removal % were directly proportional to the feed temperature and operating pressure, but inversely proportional to the feed concentration, where the permeate flux increased by 49% when the temperature was raised from 25 to 45 °C, while the Ni (II) removal % slightly increased by 4%. In addition, the permeate flux increased by 188% and the Ni (II) removal % increased to 95.19% when the pressure was raised from 10 to 40 bar. The feed flow rate, on the other hand, had a negligible influence on the permeate flux and Ni (II) removal %. The temperature correction factor (TCF) was determined to be directly proportional to the feed temperature, but inversely proportional to the operating pressure; nevertheless, the TCF was unaffected either by the feed flow rate or the feed concentration. Based on the experimental data, mathematical models were generated for both the permeate flux and nickel removal %. The results showed that both models matched the experimental data well.

Nickel removal from wastewater using electrocoagulation process with zinc electrodes under various operating conditions: performance investigation, mechanism exploration, and cost analysis

Economically feasible approaches are needed for wastewater treatment. Electrocoagulation (EC) is an electrochemical treatment method that removes various pollutants from wastewater. It has grown in popularity over conventional treatment methods, especially in industrial wastewater, due to its high performance and the ability to remove toxic compounds. However, it is crucial to reduce the costs associated with EC for widespread implementation. It is also important to decrease nickel (Ni) concentrations in wastewater to prevent potential health and environmental problems. Therefore, this study investigates Ni removal from synthetic and real wastewater using electrocoagulation. Zinc, as a novel electrode, was used as the sacrificial anode. Several operating conditions were assessed, including current density, initial pH, electrolysis time, and spacing between electrodes. The maximum Ni removal efficiency, after 90 min, reached 99.9% at a current density of 10 mA/cm2 when the pH was 9.2 and the gap distance was 4 cm. The Ni removal rate reached 94.4% and 94.9% at a 2- and 6-cm spacing, respectively, after 90 min. Anode morphology, kinetic modeling, electrical energy consumption, and cost analysis were also investigated. The type of corrosion was uniform, which is easily predicted compared to pitting corrosion. The comparison between chemical coagulation and electrocoagulation was also reported. Experimental results indicated that the maximum Ni removal rates reached 99.89% after 90 min. The optimum spacing between electrodes was 4 cm, and the optimum current density was 10 mA/cm2. Additionally, the kinetic data were best represented through the second-order Lagergren model. The results demonstrated that the electrocoagulation performance was better than that of chemical coagulation for Ni removal. The maximum electrical energy consumption was 23.79 KWh/m3 for Ni removal.

In-situ synthesis of 3D multifunctional graphene-based layered double oxide composite for the removal of nickel and acid orange

Graphene-like materials as a prevalent two-dimensional (2D) material have attracted tremendous attention in the water remediation field, yet the inherent nature of aggregation limits its macroscopic practical applications. To address the dilemma, a novel in-situ synthesis strategy, i.e., integrated “self-template” and “structure designing”, was proposed in this study. Specifically, the organic layered double hydroxide (3D-LDH) was employed as self-template and carbon source to construct the functional three-dimensional (3D) graphene loading with layered double oxide (G@LDO). In virtue of the special 3D structure and components, G@LDO exhibited preeminent and ultrafast remediation ability toward acid orange (AO7, 1870.15 mg/g) and nickel (II) (Ni2+, 110.10 mg/g). Moreover, G@LDO maintained the exceptional removal of AO7 and Ni2+ in a wide pH range and even in the authentic water matrices. The removal mechanisms were systematically investigated, unveiling that AO7 removal was strongly associated with metal-complexation, memory effect, and π-π electron donor–acceptor (EDA). While for Ni2+ removal, besides ion-exchange interaction with Mg2+ associated with LDO, the other S component induced the vacancy defect provided additional active sites for Ni2+ capture. In addition, the recycle experiments demonstrated that G@LDO kept above 85% after five runs. Overall, this work not only opens a new avenue for the preparation of graphene-like material, but also provided a theoritical guidance for the authentic application on the removal of dyes and heavy metals.

Effect of salt solution treatment on impurity removal: A case study on phosphogypsum

AbstractThis study gives a brief demonstration of impurity removal efficiency upon salt solution treatment of phosphogypsum (PG). The experimental set up has been designed according to a multi‐variable Box–Behnken Design (BBD) with stirring time, solid: liquid (PG:salt solution) ratio and temperature as the conducted in various salt solutions. PG sample has been treated with sea water, 5% NaCl and 10% NaCl solutions according to the BBD matrix. Fluoride (F), copper (Cu), manganese (Mn), and nickel (Ni) amounts in the PG sample have been measured upon pre‐ and post‐treatment with salt solutions. Among other operating conditions, temperature has been the dominant factor on fluoride removal efficiency, and responses for the factors determined in the experiment runs indicated that a significant correlation could be established between temperature and fluoride removal, sea water being the most efficient salt solution. Higher copper, manganese, and nickel removal efficiencies have been observed in single salt NaCl solution systems however no significant correlation could be established between factors. Results indicate that pre‐treatment of PG located near coastal regions with sea water can be a cost‐effective approach and applicable on industrial scale when fluoride removal is of importance.

Removal and Separation of Cobalt and Nickel from Sulfate Media Using Synergistic System of Decylic Acid and Phosphine Oxide Cyanex 921

Removal and Separation of Cobalt and Nickel from Sulfate Media Using Synergistic System of Decylic Acid and Phosphine Oxide Cyanex 921

Removal of Nickel (II) Ions, Low Level Pollutants, and Total Bacterial Colony Count from Wastewater by Composite Nanofibers Film.

Removal of Nickel (II) Ions, Low Level Pollutants, and Total Bacterial Colony Count from Wastewater by Composite Nanofibers Film.

Enhanced nickel removal and synchronous bioelectricity generation based on substrate types in microbial fuel cell coupled with constructed wetland: performance and microbial response.

In this study, an attempt was made to clarify the impact of substrates on the microbial fuel cell coupled with constructed wetland (CW-MFC) towards the treatment of nickel-containing wastewater. Herein, zeolite (ZEO), coal cinder (COA), ceramsite (CER), and granular activated carbon (GAC) were respectively introduced into lab-scaled CW-MFCs to systematically investigate the operational performances and microbial community response. GAC was deemed as the most effective substrate, and the corresponding device yielded favorable nickel removal efficiencies over 99% at different initial concentrations of nickel. GAC-CW-MFC likewise produced a maximum output voltage of 573mV, power density of 8.95 mW/m2, and internal resistance of 177.9 Ω, respectively. The strong adsorptive capacity of nickel by GAC, accounting for 54.5% of total contaminant content, was mainly responsible for the favorable nickel removal performances of device GAC-CW-MFC. The high-valence Ni2+ was partially reduced to elemental Ni0 on the cathode, which provided evidence for the removal of heavy metals via the cathodic reduction of CW-MFC. The microbial community structure varied considerably as a result of substrates addition. For an introduction of GAC into the CW-MFC, a remarkably enriched population of genera Thermincola, norank_f__Geobacteraceae, Anaerovorax, Bacillus, etc. was noted. This study was dedicated to providing a theoretical guidance for an effective regulation of CW-MFC treatment on nickel-containing wastewater and accompanied by bioelectricity generation via the introduction of optimal substrate.

Effect of complex nutrients, amino acids, vitamins on Ni(II) biosorption from aqueous solution by Ni(II) resistant Saccharomyces cerevisiae AJ208

The paper aims to establish and enhance the microorganism’s successful growth, proper activity, and biosorption potency for Ni(II) biosorption from an aqueous solution using 5,000 mg/l Ni(II) resistant Saccharomyces cerevisiae AJ208. Complex nutrients, amino acids, and vitamins were added to the specifically optimized fermentation media as essential growth factors. Amino acids such as L-cysteine (0.0002 g/ml), L-Proline (0.0002 g/ml), L-Lysine (0.0002 g/ml), L-tryptophan (0.0001 g/ml) and L-Histidine (0.0003 g/ml) led to an increase of more than 87% biosorption. Vitamins such as, Ascorbic acids (0.01 × 10−8 g/ml), folic acids (0.01 × 10−8 g/ml), pyridoxine-HCl (0.01 × 10−8 g/ml),Thiamin-HCl (0.05 × 10−8 g/ml) promotes biosorption more than 91%. The Ni(II) bio-removal increased with complex nutrients like soybean meal, malt extract, and yeast extract at the concentration of 0.03, 0.4, 0.05 in g/ml, and nickel removal reached more than 85%. The multiple linear regression (MLR) and ANN application of the experimental data have predicted Ni(II) percentage removal well. This adsorption shows that the proposed Ni(II) removal process using complex nutrients is environmentally friendly and economically feasible. Novelty statement: This study evaluates a cost-effective approach to bioremediation of Ni(II) by using complex nutrients as a growth factor. Media enriched with complex nutrients is cheap than chemical media. Ni(II) Removal significant increased up to 87%, 88.34%, 96% with soybean meal, L-proline, and L-ascorbic acids at 3,000 mg/l initial Ni(II) concentration using newly developed 5,000 mg/l Ni(II) resistant Saccharomyces cerevisiae AJ208 and their NCBI accession number: MZ027228 (AJ208 ITS 1) and MZ027229 (AJ208 ITS 2).

The Efficiency of Polyaluminum Silicate Chloride Coagulants in Nickel Removal from Aqueous Solutions

Background & Aims: Nickel is one of the toxic heavy metals naturally released into the environment through industrial activities. Coagulation and flocculation are one of the available heavy metal removal methods, but experience has shown that high pH and the addition of coagulant aid are usually required to remove nickel by coagulation and flocculation process. This study aimed to examine the efficiency of polyaluminum silicate chloride (PASiC) coagulant in nickel removal from aqueous solutions. Materials and Methods: This study was conducted experimentally on a laboratory scale using the standard jar testing method. We investigated the effect of pH parameters (4-11), amount of coagulant (7.5-75 mg/L based on aluminum), initial metal concentration (10-400 mg/L), and settling time (15-90 minutes). Nickel concentration was measured by flame atomic absorption spectroscopy. In this study, t test, between-groups ANOVA, and regression were used for analysis. Results: Results showed that the removal efficiency decreased at higher concentrations of nickel metal. Furthermore, increasing the settling time beyond 30 minutes did not significantly change the removal efficiency. PASiC had a removal efficiency of over 99% at an optimum pH of 8, an optimum PASiC concentration of 15 mg/L, an optimum time of 30 minutes, and a nickel concentration of 10-100 mg/L. Conclusion: According to the results, the use of PASiC as a coagulant is a suitable option for removing nickel from polluted wastewater.

Evaluation of Avocado Pear Seed Coat for Removal of Nickel and Chromium Ions from Aqueous Solution

Evaluation of Avocado Pear Seed Coat for Removal of Nickel and Chromium Ions from Aqueous Solution

Upgrading of Sharqy Baghdad Heavy Oil via N-Hexane Solvent

Asphaltenes are a solubility class described as a component of crude oil with undesired characteristics. In this study, Sharqy Baghdad heavy oil upgrading was achieved utilizing the solvent deasphalting approach as asphaltenes are insoluble in paraffinic solvents; they may be removed from heavy crude oil by adding N-Hexane as a solvent to create deasphalted oil (DAO)of higher quality. This method is known as Solvent De-asphalting (SDA). Different effects have been assessed for the SDA process, such as solvent to oil ratio (4-16/1 ml/g), the extraction temperature (23 ºC) room temperature and (68 ºC) reflux temperature at (0.5 h mixing time with 400 rpm mixing speed). The best solvent deasphalting results were obtained at room temperature and 12 ml/g solvents to oil ratio. As a result, the API of DAO was increased by 9.3º compared to the API of Sharqy Baghdad heavy oil. The asphaltene reduction was 61.56%. The Sulfur removal was 32.8%, the Vanadium removal was 36.48%, and the Nickel removal was 46.21%.

Modelling of adsorption of nickel (II) by blend hydrogels (cellulose nanocrystals and corn starch) from aqueous solution using adaptive neuro‐fuzzy inference systems (ANFIS) and artificial neural networks (ANN)

AbstractThe current study looks at the effectiveness of the removal of nickel (II) from aqueous solution using an adsorption method in a laboratory‐size reactor. An artificial neural network (ANN) and an adaptive neuro‐fuzzy inference system (ANFIS) were used in this study to predict blend hydrogels adsorption potential in the removal of nickel (II) from aqueous solution. Four operational variables, including initial Ni (II) concentration (mg/L), pH, contact duration (min), and adsorbent dose (mg/L), were used as an input with removal percentage (%) as the only output; they were studied to assess their impact on the adsorption study in the ANFIS model. In contrast, 70% of the data was used for training, while 15% of the data was used in testing and validation to build the ANN model. Feedforward propagation with the Levenberg–Marquardt algorithm was employed to train the network. The use of ANN and ANFIS models for experiments was used to optimize, construct, and develop prediction models for Ni (II) adsorption using blend hydrogels. The adsorption isotherm and kinetic models were also used to describe the process. The results show that ANN and ANFIS models are promising prediction approaches that can be applied to successfully predict metal ions adsorption. According to this finding, the root mean square errors (RMSE), absolute average relative errors (AARE), average relative errors (ARE), mean squared deviation (MSE), and R2 for Ni (II) in the training dataset were 0.061, 0.078, 0.017, 0.019, and 0.986, respectively, for ANN. In the ANFIS model, the RMSE, AARE, ARE, MSE, and R2 were 0.0129, 0.0119, 0.028, 0.030, and 0.995, respectively. The adsorption process was spontaneous and well explained by the Langmuir model, and chemisorption was the primary control. The morphology, functional groups, thermal characteristics, and crystallinity of blend hydrogels were all assessed.