Uptake of phenol from aqueous solution by burned water hyacinth

Uddin, M. T.; Islam, M. A.; Abedin, Mohammad Zoynal

doi:10.2478/v10026-008-0027-1

Cited by 60 publications

(78 citation statements)

References 34 publications

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“…Thus, with an increase in adsorbent dosage, the amount of dye adsorbed onto unit weight of adsorbent gets reduced causing a decrease in q value. Similar behavior has been reported in case of adsorption of Congo Red (Rajamohan 2009) and phenol (Uddin et al 2008) onto water hyacinth root.…”

Section: Resultssupporting

confidence: 84%

Uptake of Indosol Dark-blue GL dye from aqueous solution by water hyacinth roots powder: adsorption and desorption study

Khan

Mukhlish

Mazumder

et al. 2013

Int. J. Environ. Sci. Technol.

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Adsorption characteristics of water hyacinth roots powder for the removal of Indosol Dark-blue GL dye were investigated in batch mode. Operating variables, such as initial solution pH, presence of detergent, adsorbent dosage, initial concentration and contact time, were studied. The results showed that the adsorption of dye increased with increasing the initial concentration and contact time. The adsorption is highly pH dependent and adsorption capacity increased with decrease in pH. Kinetic study revealed that the uptake of Indosol Dark-blue GL was very rapid within the first 15 min and equilibrium time was independent of initial concentration. Batch equilibrium experiments were carried out at different pH and found that equilibrium data fitted well to Langmuir isotherm model. The maximum sorption capacity of the adsorbent was found as 86 mg g -1 at pH 3 which reduced to 64 mg g -1 at pH 5. The presence of detergent reduced the sorption capacity of the adsorbent significantly. Using equilibrium and kinetic data, the forward and backward rate constants were determined from the unified approach model. Desorption study revealed that the dye can be recovered by swing the pH from low to high.

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Section: Resultssupporting

confidence: 84%

Uptake of Indosol Dark-blue GL dye from aqueous solution by water hyacinth roots powder: adsorption and desorption study

Khan

Mukhlish

Mazumder

et al. 2013

Int. J. Environ. Sci. Technol.

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“…This result indicates that up to 90-95 % of the total phenol uptake occurs in the first rapid phase (60 min) and thereafter the adsorption rate is decreased. The higher adsorption rate at the initial period (first 40 min) may be due to large number of vacant sites on the adsorbent and as a result there exist increased concentration gradients between adsorbate in solution and adsorbate on adsorbent surface (Uddin et al 2007). ANN model prediction in accordance with the experimental data (Fig.…”

Section: Effect Of Contact Timesupporting

confidence: 63%

“…The percentage removal of phenol increased with the increasing absorbent dosage (0.5-4.0 g). It is attributed due to increase in adsorbent surface area and availability of more adsorption sites (Mehrizad et al 2009;Uddin et al 2007). The results also revealed that the adsorption efficiency increases with the increasing dose (Rengaraj et al 2002).…”

Section: Effect Of Adsorbent Dosagementioning

confidence: 99%

“…12) in Langmuir isotherm advocates the monolayer coverage of phenol onto OPA (Uddin et al 2007). The essential features of Langmuir isotherm can be expressed in terms of a dimensionless constant separation factor (R L ).…”

Section: Adsorption Isothermmentioning

confidence: 99%

“…At high pH, OH -ions would compete with the phenolate ions for sorption sites. Sorption of excess of OH -ions could create a negative charge on the OPA surface resulting repulsion of negatively charged phenoxide ions, and therefore, adsorption is decreased (Uddin et al 2007). The experimental data and ANN-calculated outputs are compared with ANN model and shows a good performance in the prediction of the experimental data (Fig.…”

Section: Effect Of Phmentioning

confidence: 99%

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Neural network model and isotherm study for removal of phenol from aqueous solution by orange peel ash

et al. 2014

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Artificial Neural Network model and isotherm study were done to predict the removal efficiency of phenol. An inexpensive adsorbent was developed from orange peel ash (OPA) for effective uptake of phenol from aqueous solution. The influence of different experimental parameters (initial concentration, pH, adsorbents dose, contact time, stirring rate and temperature) on phenol uptake efficiency was evaluated. Phenol was adsorbed by the OPA up to maximum of 97.34 %. Adsorption of phenol on OPA correlated well with the Langmuir isotherm model, implying monolayer coverage of phenol onto the surface of the adsorbent. The maximum adsorption capacity was found to be 3.55 mg g -1 at 303 K. Pseudo-second-order kinetic model provided a better correlation for the experimental data. Moreover, the activation energy of the adsorption process (E a ) was found to be -18.001 kJ mol -1 indicating physorption nature of phenol onto OPA. A negative enthalpy (DH°) value indicated that the adsorption process was exothermic. Again multi-layer Neural Network model was in very good agreement with the experimental results.

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Adsorption of Arsenite from Groundwater Using Titanium Dioxide

Paraguay

Cortes

Pérez-Robles

et al. 2013

CLEAN Soil Air Water

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The present research focused in the feasibility of using a common, inexpensive, and non‐toxic material as titanium dioxide (TiO2) for arsenite (As(III)) removal from aqueous solutions. Batch experiments were conducted to test the effects of adsorbent dose, contact time, and stirring speed. The As(III) removal has been carried out under natural environment conditions (temperature 23 ± 3°C and water pH 8 ± 0.2). Results show that the kinetic rate of As(III) adsorption was higher in the first 30 min and decreases thereafter. The maximum removal efficiency was 96% with 1.5 g/L in 1.5 h of contact time. The As–TiO2 system has reached equilibrium in 1 h, regardless of the titanium dioxide dosage. The adsorption process was best described by the Freundlich's isotherm model, which indicates that the multilayer adsorption should be involved in the process of As(III) removal. The contact between the As(III) and TiO2 was done mainly by convection and diffusion. The mass transfer coefficient (β) has been found between 0.8 × 10−5 and 12.3 × 10−5 cm/s. The thermodynamic analysis showed a feasible, spontaneous, and exothermic adsorption process. TiO2 is a safe substance for human health and is a feasible and efficient alternative treatment for arsenic removal from water.Chronic exposures at low‐level of arsenic will cause adverse health effects. TiO2 is a feasible low‐cost material for remove arsenic. Reaction mechanisms, the zeta potential and adsorption kinetics were analyzed. A dose of 1.5 g/L removed 92% (Co = 120 µg As/L) of arsenic in 0.9 h. This conditions allows to get a treated water quality in agreement with the international standards (<10 µg/L).

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Uptake of phenol from aqueous solution by burned water hyacinth

Cited by 60 publications

References 34 publications

Uptake of Indosol Dark-blue GL dye from aqueous solution by water hyacinth roots powder: adsorption and desorption study

Uptake of Indosol Dark-blue GL dye from aqueous solution by water hyacinth roots powder: adsorption and desorption study

Neural network model and isotherm study for removal of phenol from aqueous solution by orange peel ash

Adsorption of Arsenite from Groundwater Using Titanium Dioxide

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