Physicochemical Technologies for Remediation of Chromium-Containing Waters and Wastewaters

Malaviya, Piyush; Singh, Asha

doi:10.1080/10643380903392817

Cited by 151 publications

(61 citation statements)

References 202 publications

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“…In general, technical applicability, cost-effectiveness and plant simplicity are the key factors in selecting the most suitable treatment method to remove heavy metals (such as copper, arsenic, lead and zinc) and cyanide from contaminated ecosystem (Acheampong et al 2010). However, the latest technologies like photocatalytic reduction, surfactant-based membranes, liquid membranes and surface complexation are more efficient for heavy metals removal from contaminated ecosystems (Malaviya and Singh 2011;Xu et al 2012). …”

Section: Remediation Of Heavy Metalsmentioning

confidence: 99%

Biotechnological advances in bioremediation of heavy metals contaminated ecosystems: an overview with special reference to phytoremediation

Mani

Kumar

2013

Int. J. Environ. Sci. Technol.

503

137

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The ability of heavy metals bioaccumulation to cause toxicity in biological systems-human, animals, microorganisms and plants-is an important issue for environmental health and safety. Recent biotechnological approaches for bioremediation include biomineralization (mineral synthesis by living organisms or biomaterials), biosorption (dead microbial and renewable agricultural biomass), phytostabilization (immobilization in plant roots), hyperaccumulation (exceptional metal concentration in plant shoots), dendroremediation (growing trees in polluted soils), biostimulation (stimulating living microbial population), rhizoremediation (plant and microbe), mycoremediation (stimulating living fungi/mycelial ultrafiltration), cyanoremediation (stimulating algal mass for remediation) and genoremediation (stimulating gene for remediation process). The adequate restoration of the environment requires cooperation, integration and assimilation of such biotechnological advances along with traditional and ethical wisdom to unravel the mystery of nature in the emerging field of bioremediation. This review highlights better understanding of the problems associated with the toxicity of heavy metals to the contaminated ecosystems and their viable, sustainable and eco-friendly bioremediation technologies, especially the mechanisms of phytoremediation of heavy metals along with some case studies in India and abroad. However, the challenges (biosafety assessment and genetic pollution) involved in adopting the new initiatives for cleaning-up the heavy metals-contaminated ecosystems from both ecological and greener point of view must not be ignored.

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Section: Remediation Of Heavy Metalsmentioning

confidence: 99%

Biotechnological advances in bioremediation of heavy metals contaminated ecosystems: an overview with special reference to phytoremediation

Mani

Kumar

2013

Int. J. Environ. Sci. Technol.

503

137

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“…Varying dose of CSO-INPs (0.1, 0.3, 0.5, and 1 mg/ml) was treated for different time interval (10,20,30,40, 50, 60 min) at different pH (2,3,5,8,10) and temperature (28, 38°C), to illustrate the effect of CSO-INPs doses on the adsorption of Cr ions from the aqueous solution. ANN simulation has been done for CSO-INPs doses (0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1 mg/ml) at different pH (2,3,4,5,6,7,8,9,10) and different initial Cr concentration Fig.…”

Section: Effect Of Nanoparticles Dose On Cr Removal Efficiencymentioning

confidence: 99%

“…The batch experiments were performed to evaluate the Cr removal efficiency of CSO-INPs at different pH (2,3,5,8,10), for different doses of CSO-INPs (0.1, 0.3, 0.5, 0.9, 1.0 mg/ml) at different temperatures (28, 38°C) and for different initial pollutant (Cr) concentrations (10, 20 ppm). Once the ANN model has been prepared and validated as discussed in ''ANN modelling and validation'' section, the ANN simulation has been carried out to obtain the Cr removal efficiency for varying inputs pH (2, 3, 4, 5, 6, 7, 8, 9, 10), CSO-INPs doses (0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1 mg/ml), initial pollutant concentrations (10, 15, 20, 25, 30, 35 ppm), temperatures (20, 25, 28, 30, 35, 38, 40, 45°C).…”

Section: Batch Experiments and Ann Model To Evaluate Cr Removal Efficmentioning

confidence: 99%

“…The effluents from these industries contribute a significant amount of chromium to soil, water bodies, and the ground water. Although Cr oxidation states range from (-II) to (?VI), however, only the Cr(?III) and Cr(?VI) states are stable in the natural environment [3]. Chromium (III), the most common form of chromium (Cr) in the natural environment, is not very soluble under normal groundwater conditions due to the formation of insoluble solid Cr(OH) 3 and Cr 2 O 3 form.…”

Section: Introductionmentioning

confidence: 99%

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An artificial neural network (ANN)-based framework for the Cr removal from the spiked water samples by chitosan oligosaccharide-coated iron oxide nanoparticles

Shukla

Kumar

Prakash

et al. 2017

Nanotechnol. Environ. Eng.

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Chromium contamination in water has become a major concern worldwide due to its adverse health effects. Chitosan oligosaccharide-coated iron oxide nanoparticles (CSO-INPs) were used in the present study for the magnetic separation of chromium from a chromium spiked water samples. Transmission electron microscope-energydispersive X-ray spectroscopy elemental mapping and scanning electron microscope-energy-dispersive X-ray spectroscopy elemental analysis were carried out to confirm the successful removal of the contaminant (total Cr) from the spiked water samples. A feedforward artificial neural network (ANN) model has been developed to predict the optimum efficiency of chromium ions removal from aqueous solution by CSO-INPs. Both the batch experiments and the ANN have been applied to assess the impact of various factors such as pH, nanoparticles dose, temperature, and time influencing the Cr removal efficiency of CSO-INPs. Removal efficiency has been found to be higher at low pH, with higher dose of nanoparticles at higher temperature. The ANN simulation further gives us a set of desired conditions (pH 3, CSO-INPs dose 0.7 mg/ml, temperature 28-30°C, time 60 min) to achieve an optimum Cr removal efficiency of CSO-INPs. Graphical AbstractKeywords Chromium Á Chitosan oligosaccharide Á Iron nanoparticles Á Artificial neural network (ANN)

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“…Chromium (VI) is the toxic form of the element which causes severe diseases in human beings like diarrhea, ulcers, eye and skin irritation, kidney dysfunction and probably lung carcinoma (Malaviya and Singh, 2011). Tannery wastewaters contain large quantities of Chemical Oxygen Demand (COD), color, sodium sulphide, nitrate, chloride, chromium and suspended solids (Sharma and Malaviya, 2014).…”

Section: Introductionmentioning

confidence: 99%

Isolation and Characterization of Chromium Tolerant Bacteria From Tannery Effluent at Dindigul District, Tamilnadu, India

M¹,

Nirmala²

2017

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Physicochemical Technologies for Remediation of Chromium-Containing Waters and Wastewaters

Cited by 151 publications

References 202 publications

Biotechnological advances in bioremediation of heavy metals contaminated ecosystems: an overview with special reference to phytoremediation

Biotechnological advances in bioremediation of heavy metals contaminated ecosystems: an overview with special reference to phytoremediation

An artificial neural network (ANN)-based framework for the Cr removal from the spiked water samples by chitosan oligosaccharide-coated iron oxide nanoparticles

Isolation and Characterization of Chromium Tolerant Bacteria From Tannery Effluent at Dindigul District, Tamilnadu, India

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