Liquid–liquid extraction of toluene from its mixtures with aliphatic hydrocarbons using an ionic liquid as the solvent

Shaahmadi, Fariborz; Shahraki, Bahram Hashemi; Farhadi, Asadollah

doi:10.1080/01496395.2018.1449859

Cited by 22 publications

(13 citation statements)

References 45 publications

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“…Especially, precise information about the ST of these fluids and their mixtures is indispensable in exploitation and designing modern industrial processes such as extraction, absorption, and also distillation involving IL (Carvalho, 2008;Oliveira, 2012). In recent years, many researchers have entered the field of laboratory studies of ionic liquids (Asl, 2020;Mosallanejad et al, 2018;Shaahmadi et al, 2018;Tajikmansori et al, 2020), and a number of them have measured the surface tension of compounds containing these substances (Oz, 2020;Shojaeian, 2019). Clearly, the experimental measurement cannot take the properties of each possible IL and its mixture with other compounds because there are infinite numbers of conceivable systems.…”

Section: Introductionmentioning

confidence: 99%

Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence

Setiawan

Daneshfar

Rezvanjou

et al. 2021

Environ Dev Sustain

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The surface tension (ST) of ionic liquids (ILs) and their accompanying mixtures allows engineers to accurately arrange new processes on the industrial scale. Without any doubt, experimental methods for the specification of the ST of every supposable IL and its mixtures with other compounds would be an arduous job. Also, experimental measurements are effortful and prohibitive; thus, a precise estimation of the property via a dependable method would be greatly desirable. For doing this task, a new modeling method according to artificial neural network (ANN) disciplined by four optimization algorithms, namely teaching-learning-based optimization (TLBO), particle swarm optimization (PSO), genetic algorithm (GA) and imperialist competitive algorithm (ICA), has been suggested to estimate ST of the binary ILs mixtures. For training and testing the applied network, a set of 748 data points of binary ST of IL systems within the temperature range of 283.1-348.15 K was utilized. Furthermore, an outlier analysis was used to discover doubtful data points. Gained values of MSE & R 2 were 0.0000007 and 0.993, 0.0000002 and 0.998, 0.0000004 and 0.996 and 0.0000006 and 0.994 for the ICA-ANN, TLBO-ANN, PSO-ANN and GA-ANN, respectively. Results demonstrated that the experimental data and predicted values of the TLBO-ANN model for such target are wholly matched.

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Section: Introductionmentioning

confidence: 99%

Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence

Setiawan

Daneshfar

Rezvanjou

et al. 2021

Environ Dev Sustain

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“…Similar results were observed using [HMim][NTf2], [HMim][TfO], [BMim][TfO], [BMim][MSO4], [EMim][NTf2], and [EMpy][NTf2] ILs. Some other ILs were used for extraction of toluene from aliphatics in the LLE process. − In addition to the mentioned ILs, some DESs were used for separation of aromatics from aliphatic compounds . However, DESs were applied as solvents in LLE of azeotropic mixtures, ,, desulfurization of fuels, − and dearomatization of gasolines, and equilibrium data of aromatic–aliphatic mixtures in the presence of DESs are limited.…”

Section: Introductionmentioning

confidence: 99%

“…To evaluate the performance of the applied solvents in the current work, the plot of the distribution coefficients and selectivity of toluene in terms of weight fraction of toluene in the cyclohexane-rich phase (raffinate) and in the feed was depicted at two studied temperatures of 298. 15…”

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confidence: 99%

Separation of Aromatics from a Cyclic-Aliphatic Hydrocarbon Using Ethylene Glycol and a Choline Chloride-Based Deep Eutectic Solvent

2021

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The separation of aromatic and aliphatic hydrocarbons is a challenging process in the petrochemical industry. In this case, liquid–liquid extraction (LLE) by organic solvents has been widely applied in the industry. However, most of the used traditional solvents are toxic and volatile. In the present work, two non-volatile and environmentally friendly solvents were utilized to separate toluene (as an aromatic) from cyclohexane (cyclic aliphatic) in an LLE process. Ternary phase diagrams of cyclohexane–toluene–solvent [ethylene glycol/deep eutectic solvent (DES)] were determined at 298.15 and 308.15 K and atmospheric pressure. The distribution coefficient and selectivity of applied solvents for toluene were determined and compared with those of previously used ionic liquids (ILs). The results show that the prepared choline chloride–glycerol DES in the current work is an efficient solvent for the extraction of toluene. The selectivity of applied DES was greater than unity and even higher than 9 at low concentrations of the solute. These values are higher than those of all previously used ILs. Two thermodynamic models of NRTL and UNIQUAC were used for the correlation of equilibrium data with a root-mean-square deviation value less than 0.028. Therefore, the mentioned models can be applied successfully for the design of the extraction process using the investigated solvents.

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“…Liquid-liquid extraction (LLE) [32], solidphase extraction (SPE) [33] and dispersive-solid-phase extraction (DSPE) [34] are the most common techniques employed in the treatment of different samples. Among them, LLE is a simple, convenient and widely applicable method for the purification and preconcentration of analytes from aqueous matrices [35]. However, LLE requires a generous amount of samples and organic solvents.…”

Section: Introductionmentioning

confidence: 99%

Application of ultrasound-assisted deep eutectic solvent extraction combined with liquid-liquid extraction method to the extraction of three pesticide residues from fruit and vegetable samples

Chen¹,

An²,

Sun³

et al. 2020

AChrom

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Abstract A simple, inexpensive and sensitive method was developed for the simultaneous determination of three pesticide residues (carbendazim, thiophanate-methyl, and imidacloprid) in fruit and vegetable samples using high performance liquid chromatography (HPLC) based on a combined pretreatment of ultrasound-assisted deep eutectic solvent extraction (UA-DES-E) and liquid-liquid extraction (LLE). In this study, various types of deep eutectic solvents (DESs) were synthesized and the extraction efficiency was compared as extraction solvents. Results showed that glycerol-proline = 9:4 (GP-5) obtained the highest extraction efficiency among different types of DESs. Experiment conditions, including DES volume, extraction time and pH, were systematically optimized using single-factor experiment. Under the optimum conditions, the limits of detection (LODs) and quantification (LOQs) were in the ranges of 0.05–0.2 μg·mL−1 and 0.1–0.5 μg·mL−1, respectively. The relative recoveries of the three pesticides in the fruit and vegetable samples ranged from 85.7 to 113.0% at two spiked levels. Meanwhile, the method achieved excellent linearity with determination coefficients (r) greater than 0.999. Furthermore, the method was successfully applied to the analysis of the pesticides in real fruit and vegetable samples (apple, tomato, and grape).

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Liquid–liquid extraction of toluene from its mixtures with aliphatic hydrocarbons using an ionic liquid as the solvent

Cited by 22 publications

References 45 publications

Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence

Surface tension of binary mixtures containing environmentally friendly ionic liquids: Insights from artificial intelligence

Separation of Aromatics from a Cyclic-Aliphatic Hydrocarbon Using Ethylene Glycol and a Choline Chloride-Based Deep Eutectic Solvent

Application of ultrasound-assisted deep eutectic solvent extraction combined with liquid-liquid extraction method to the extraction of three pesticide residues from fruit and vegetable samples

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