Cadmium, lead and mercury biosorption on waste fungal biomass issued from fermentation industry. I. Equilibrium studies

Švecová, Lenka; Spanelova, Marketa; Kubal, Martin; Guibal, Eric

doi:10.1016/j.seppur.2006.03.024

Cited by 112 publications

(49 citation statements)

References 37 publications

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“…The present study reports that increase in the pH value from 3 to 6 caused an increase in the cadmium uptake and it reached the maximum level at pH 6 and reduced in higher pH. This could be attributed to formation of soluble cadmium hydroxides/complexes (Kacar et al, 2000;Say et al, 2003;Svecova et al, 2006;Mashitah et al, 2008;Al Garni et al, 2009). Conversely, Singh et al (2005) reported that the adsorption of cadmium was higher in alkaline pH.…”

Section: Discussionsupporting

confidence: 52%

“…phosphate fertilizer, mining, pigments, alloy industries and sewage sludge). Removal of toxic heavy metals from industrial waste waters is essential from the stand point of environmental pollution control (Guangyu and Thiruvenkatachari, 2003;Say et al, 2003;Svecova et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, there is a need for a rapid, economical and environmentally benign technology for the removal of metals from polluted environment. The ability of microorganisms to accumulate metal ions from aqueous solutions has been widely reported (Tangaromsuk et al, 2002; AL-Garni, 2005; Svecova et al, 2006;EL-Sherif et al, 2008;Zamil et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

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Biosorption of Cadmium from Aqueous Solutions Using A local Fungus Aspergillus cristatus (Glaucus Group)

Hassan¹,

El-Kassas²

2011

Afr. J. Biotechnol.

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Section: Discussionsupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Biosorption of Cadmium from Aqueous Solutions Using A local Fungus Aspergillus cristatus (Glaucus Group)

Hassan¹,

El-Kassas²

2011

Afr. J. Biotechnol.

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“…The amount of heavy metals released into the aqueous environment has been increasing as a result of anthropogenic activities such as mining, sludge disposal, and electroplating, with the effects of these metals on the ecosystem causing global concern (Shojaeimehr et al, 2014;Svecova et al, 2006;Wang et al, 2013). Adsorption offers an alternative to the remediation of industrial and municipal wastewater effluent as conventional technologies such as ion exchange, reverse osmosis, filtration, electrochemical treatment, and membrane technologies are expensive and generate large amounts of sludge waste (O'Connell et al, 2008b).…”

Section: Introductionmentioning

confidence: 99%

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Hamid

Jenidi

Thielemans

et al. 2016

Industrial Crops and Products

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This study observed the influence of temperature, initial Cu(II) ion concentration, and sorbent dosage on the Cu(II) removal from the water matrix using surface-oxidized cellulose nanowhiskers (CNWs) bearing carboxylate functionalities. In addition, this study focused on the actual conditions in a wastewater treatment plant. Conductometric titration of CNWs suspensions showed a surface charge of 54 and 410 mmol/kg for the unmodified and modified CNWs, respectively, which indicated that the modified CNWs provide a relatively high surface area per unit mass than the unmodified CNWs. In addition, the stability of the modified CNWs was tested under different conditions and proved that the functional groups were permanent and not degraded. Response surface methodology (RSM) and artificial neural network (ANN) models were employed in order to optimize the system and to create a predictive model to evaluate the Cu(II) removal performance of the modified CNWs. The performance of the ANN and RSM models were statistically evaluated in terms of the coefficient of determination (R 2 ), 2 absolute average deviation (AAD), and the root mean squared error (RMSE) on predicted experiment outcomes. Moreover, to confirm the model suitability, unseen experiments were conducted for 14 new trials not belonging to the training data set and located both inside and outside of the training set boundaries. Result showed that the ANN model (R 2 =0.9925, AAD = 1.15%, RMSE = 1.66) outperformed the RSM model (R 2 =0.9541, AAD = 7.07%, RMSE = 3.99) in terms of the R 2 , AAD, and RMSE when predicting the Cu (II) removal and is thus more reliable. The Langmuir and Freundlich isotherm models were applied to the equilibrium data and the results revealed that Langmuir isotherm (R 2 = 0.9998) had better correlation than the Freundlich isotherm (R 2 = 0.9461). Experimental data were also tested in terms of kinetics studies using pseudo-first order and pseudo-second order kinetic models. The results showed that the pseudo-second-order model accurately described the kinetics of adsorption.

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“…In particular, fungi have a positive potential for the development of cost-effective biosorbents since they can be grown using unsophisticated fermentation techniques and inexpensive growth media, while producing high yields of biomass. Furthermore, many species are extensively used in a variety of large scale industrial fermentation processes where, after enzyme extraction and biochemical transformations, the biomass cannot be re-used and constitutes a waste material that is generally poorly valorised [6]. Hence, the use of waste-biomasses in biosorption application could be helpful not only to the environment, in solving the solid waste disposal problem, but also to the economy [2,7].…”

Section: Introductionmentioning

confidence: 99%

Fungal Waste-Biomasses as Potential Low-Cost Biosorbents for Decolorization of Textile Wastewaters

Prigione

Grosso

Tigini

et al. 2012

Water

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Abstract:The biosorption potential of three fungal waste-biomasses (Acremonium strictum, Acremonium sp. and Penicillium sp.) from pharmaceutical companies was compared with that of a selected biomass (Cunninghamella elegans), already proven to be very effective in dye biosorption. Among the waste-biomasses, A. strictum was the most efficient (decolorization percentage up to 90% within 30 min) with regard to three simulated dye baths; nevertheless it was less active than C. elegans which was able to produce a quick and substantial decolorization of all the simulated dye baths (up to 97% within 30 min). The biomasses of A. strictum and C. elegans were then tested for the treatment of nine real exhausted dye baths. A. strictum was effective at acidic or neutral pH, whereas C. elegans confirmed its high efficiency and versatility towards exhausted dye baths characterised by different classes of dyes (acid, disperse, vat, reactive) and variation in pH and ionic strength. Finally, the effect of pH on the biosorption process was evaluated to provide a realistic estimation of the validity of the laboratory results in an industrial setting. The C. elegans biomass was highly effective from pH 3 to pH 11 (for amounts of adsorbed dye up to 1054 and 667 mg of dye g −1 biomass dry weight, respectively); thus, this biomass can be considered an excellent and exceptionally versatile biosorbent material.

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Cadmium, lead and mercury biosorption on waste fungal biomass issued from fermentation industry. I. Equilibrium studies

Cited by 112 publications

References 37 publications

Biosorption of Cadmium from Aqueous Solutions Using A local Fungus Aspergillus cristatus (Glaucus Group)

Biosorption of Cadmium from Aqueous Solutions Using A local Fungus Aspergillus cristatus (Glaucus Group)

Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models

Fungal Waste-Biomasses as Potential Low-Cost Biosorbents for Decolorization of Textile Wastewaters

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