Silvia J. R. Vargas, Thaís S. Soares, Filipe H. B. Sosa and Maria C. Hespanhol*,
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引用次数: 0
Abstract
The valorization of lignocellulosic biomass is essential for developing sustainable bioprocesses and producing high-value compounds such as phenolics. However, the efficient separation of these compounds remains challenging due to their structural diversity. This study explored the use of aqueous biphasic systems (ABS) composed of poly(propylene glycol)-block-poly(ethylene glycol)-block-poly(propylene glycol), Pluronic 10R5, and different biodegradable ammonium salts (acetate, tartrate, and citrate) for the extraction of phenolic compounds. Phase diagrams were constructed at three temperatures (289.2, 298.2, and 313.2 K) and characterized by the binodal curve, tie-line length, and slope of the tie-line, with phase inversion phenomena observed for the first time in reverse Pluronic-based systems. The system with ammonium citrate exhibited the best performance in terms of extraction efficiency, biodegradability, and pH compatibility, resulting in stable phenolic compound stability. Five model compounds were evaluated, yielding partition coefficients ranging from 3.5 to 6.5 and extractions exceeding 80% in the polymer-rich phase. These findings demonstrate the potential of sustainable ABS as an effective platform for selective recovery processes in lignocellulosic biorefineries.
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.