Studying competitive sorption behavior of methylene blue and malachite green using multivariate calibration

Issa, Ayman A.; Al‐Degs, Yahya S.; Al-Ghouti, Mohammad A.; Olimat, Amal A.M.

doi:10.1016/j.cej.2013.10.084

Cited by 48 publications

(26 citation statements)

References 35 publications

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“…Few studies have applied multivariate calibration or derivative spectrophotometry in competitive adsorption of dyes . Recently, some researchers applied simple spectrophotometry to quantify dyes after adsorption from solution .…”

Section: Resultsmentioning

confidence: 99%

“…The empirical Freundlich model, which is based on adsorption by a heterogeneous surface, takes the form :

q_{normale} = K_{normalF} C_{normale}^{normaln}

where K F (mg/L) is the equilibrium constant indicative of relative adsorption capacity and n is the model exponent which characterizes quasi‐Gaussian energetic heterogeneity of the surface. A favorable uptake of dye is indicated by higher n values [].…”

Section: Methodsmentioning

confidence: 99%

“…The competition between dyes was assessed by estimating the competition factor as following :

CF = \frac{Q_{\max} (multi - solute)}{Q_{\max} (single - solute)}

where Q max (multi‐solute) and Q max (single‐solute) are the maximum retention capacities estimated from single and multi‐solute systems, respectively. In case of positive competition, the competition factor (CF) is greater than unity and adsorption is enhanced by other solutes.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Application of Partial Least Squares‐Kernel Calibration in Competitive Adsorption Studies Using an Effective Chemically Activated Biochar

Issa

Al‐Degs

El‐Sheikh

et al. 2017

CLEAN Soil Air Water

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In this work, chemically activated pine wood was used to prepare biochar, which was used to study the competitive adsorption behavior of four colorants (allura red (AR), brilliant black (BB), tartrazine (TT), and sunset yellow (SY)). Dye concentrations in mixed solutions were simultaneously estimated by using partial least squares Kernel calibration. The analytical recovery of food dyes was 96.7–103.4% and prediction error was 1.4–9.4%. Adsorption isotherms of dyes (at pH 2 and 25°C) from multi‐solute solutions were measured and the maximum adsorption capacities (according to the Jovanovich's model) were 68.4, 40.0, 29.6, and 23.4 mg/g for SY, AR, TT, and BB, respectively. The biochar had a combined retention capacity of 186.9 mg/g for dyes. The effects of dosage of adsorbent, pH and number of competing solutes on %Removal‐retention capacity were studied. The extent of competition between dyes toward the surface was assessed from the magnitudes of competition factors. The competition factors were 0.69, 0.70, 0.75, and 0.76 for AR, TT, BB, and SY, respectively. During adsorption of mixtures from solution, SY manifested stable performance while allura red negatively competed with the rest of the dyes. Partial least squares Kernel calibration was usefully applied for studying competitive adsorption behavior of four food‐dyes with minimum experimental setup.

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Section: Resultsmentioning

confidence: 99%

“…The empirical Freundlich model, which is based on adsorption by a heterogeneous surface, takes the form :

q_{normale} = K_{normalF} C_{normale}^{normaln}

Section: Methodsmentioning

confidence: 99%

“…The competition between dyes was assessed by estimating the competition factor as following :

CF = \frac{Q_{\max} (multi - solute)}{Q_{\max} (single - solute)}

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Application of Partial Least Squares‐Kernel Calibration in Competitive Adsorption Studies Using an Effective Chemically Activated Biochar

Issa

Al‐Degs

El‐Sheikh

et al. 2017

CLEAN Soil Air Water

Self Cite

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“…Total acidity and basicity of adsorbents were determined using standard Boehm titrations (Issa et al, 2014;Priscila et al, 2015). About 0.25 g of each sample was mixed with 50 mL of 0.01 mol/L aqueous reactant solution (HCl or NaOH).…”

Section: Characterizationmentioning

confidence: 99%

Improvement adsorption capacity of methylene blue onto modified Tamazert kaolin

Boukhemkhem

Rida

2017

Adsorption Science & Technology

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In this study, three adsorbents were prepared with the raw kaolin issued from the Tamazert region in Algeria (Tamazert kaolin (KT)), for the removal of basic dye methylene blue (MB) from aqueous solutions. The first absorbent, KT-1, was obtained by thermal treatment; the second, KT-2, was obtained by thermal followed by acid treatment; and the third, KT-3, was obtained by thermal followed by acid and alkaline treatments. These adsorbents were characterized by powder X ray diffraction, Fourier transform infrared spectroscopy, Brunauer-Emmett-Teller surface area, and scanning electron microscopy. Adsorption equilibrium isotherms of MB were correlated with common isotherm equations such as Langmuir and Freundlich models. The modified kaolins (KT-1, KT-2, and KT-3) showed different capacities of the equilibrium adsorption in comparison with raw kaolin (KT). The maximal adsorption capacity (111 mg g À1 ) was observed with modified kaolin (KT-3). The effect of operating parameters such as the initial dye concentration, contact time, adsorbent dose, pH, and temperature were studied onto KT-3. The removal of MB by adsorbent increased with an increase in adsorbent dose and initial concentration. Kinetics models, the pseudo-first-order, and pseudo-second-order rate equations were applied. The obtained results show that the adsorption of MB by KT-3 was well described by the pseudo-second-order kinetic model. The thermodynamic study revealed that the adsorption process was spontaneous, endothermic, and the positive value of ÁS indicated the affinity of MB molecules to the adsorbent surface. This study showed that this new adsorbent could be a good candidate for some activated carbons.

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“…The main sorption mechanism to both the kaolinite matrix and tuff was ion exchange which accounted for 61%–79% of sorption uptake [53]. The q m o f a mixture of clay minerals with 80% of kaolinite (w/w) has been reported to be equal to 0.77 mmol/g for methylene blue and 0.64 mmol/g for malachite green [53].…”

Section: Sorption Isotherms and Sorption Coefficientmentioning

confidence: 99%

Sorption of Hydrophobic Organic Compounds on Natural Sorbents and Organoclays from Aqueous and Non-Aqueous Solutions: A Mini-Review

Moyo

Tandlich

Wilhelmi

et al. 2014

IJERPH

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Renewed focus on the sorption of hydrophobic organic chemicals (HOCs) onto mineral surfaces and soil components is required due to the increased and wider range of organic pollutants being released into the environment. This mini-review examines the possibility of the contribution and mechanism of HOC sorption onto clay mineral sorbents such as kaolinite, and soil organic matter and the possible role of both in the prevention of environmental contamination by HOCs. Literature data indicates that certain siloxane surfaces can be hydrophobic. Therefore soils can retain HOCs even at low soil organic levels and the extent will depend on the structure of the pollutant and the type and concentration of clay minerals in the sorbent. Clay minerals are wettable by nonpolar solvents and so sorption of HOCs onto them from aqueous and non-aqueous solutions is possible. This is important for two reasons: firstly, the movement and remediation of soil environments will be a function of the concentration and type of clay minerals in the soil. Secondly, low-cost sorbents such as kaolinite and expandable clays can be added to soils or contaminated environments as temporary retention barriers for HOCs. Inorganic cations sorbed onto the kaolinite have a strong influence on the rate and extent of sorption of hydrophobic organic pollutants onto kaolinite. Structural sorbate classes that can be retained by the kaolinite matrix are limited by hydrogen bonding between hydroxyl groups of the octahedral alumosilicate sheet and the tetrahedral sheet with silicon. Soil organic carbon plays a key role in the sorption of HOCs onto soils, but the extent will be strongly affected by the structure of the organic soil matter and the presence of soot. Structural characterisation of soil organic matter in a particular soil should be conducted during a particular contamination event. Contamination by mining extractants and antibiotics will require renewed focus on the use of the QSAR approaches in the context of the sorption of HOCs onto clay minerals from aqueous and non-aqueous solutions.

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Studying competitive sorption behavior of methylene blue and malachite green using multivariate calibration

Cited by 48 publications

References 35 publications

Application of Partial Least Squares‐Kernel Calibration in Competitive Adsorption Studies Using an Effective Chemically Activated Biochar

Application of Partial Least Squares‐Kernel Calibration in Competitive Adsorption Studies Using an Effective Chemically Activated Biochar

Improvement adsorption capacity of methylene blue onto modified Tamazert kaolin

Sorption of Hydrophobic Organic Compounds on Natural Sorbents and Organoclays from Aqueous and Non-Aqueous Solutions: A Mini-Review

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