Systematic and Comparative Study on the Green Separation of Toluene-Alkanol Azeotropic Mixtures Using a Sustainable Deep Eutectic Solvent via Liquid–Liquid Equilibria
Mohammad Alizadeh Sarami, Ali Ghanadzadeh Gilani, Neda Gilani, Niloofar Abedinzadeh
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引用次数: 0
Abstract
In
this study, a deep eutectic solvent composed of choline chloride
and propylene glycol (ChCl:PG, 1:4 molar ratio) was prepared for extracting
alkanols from toluene via liquid–liquid equilibrium (LLE) experiments
at 298.2 K and 101 kPa. A homologous series of alkanols (methanol
to 1-pentanol) was selected to systematically investigate the influence
of alkyl chain length and polarity on intermolecular interactions
and the resulting LLE behavior of {toluene + (C1–C5) alkanols}
binary azeotropic mixtures. The ChCl:PG DES exhibits good chemical
stability, low toxicity, high biodegradability, and aligns with green
chemistry principles, making it a sustainable, environmentally friendly,
and economically viable solvent for industrial applications. Phase
diagrams were constructed and the experimental tie-line data were
correlated using the NRTL thermodynamic model, and the binary interaction
parameters were determined accordingly. The consistency of the obtained
parameters was validated through topological analysis based on the
Gibbs tangent plane criterion. The reliability of the experimental
tie-line data was verified using the Othmer-Tobias correlation. Solute
distribution coefficients and selectivity values were subsequently
calculated to evaluate the separation efficiency of the prepared DES.
This work provides the first experimental LLE data for {toluene +
C1–C5 alkanols + ChCl:PG} ternary systems.
期刊介绍:
The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.