The industrial implementation of new eco-friendly solvents has highlighted the need to analyse both the structures and thermophysical properties of these solvents. Here, two deep eutectic solvents (DESs) used in the agro-food field were studied: xylitol:choline chloride:water (1:2:3 M ratio), XoCH, and citric acid:choline chloride:water (1:1:6 M ratio), CiCH. The H-bond network between the components of each DES was evaluated and the diffusion coefficients at 298.15 K were calculated using NMR spectroscopy. In addition, seven thermophysical properties were determined from 278.15 to 338.15 K. Also, the solubility of quercetin in water and in the two eutectic mixtures was measured and the interactions between components were studied. NMR experiments revealed the presence of water within the supramolecular structure of XoCH, but CiCH is a "DES-in-water" solution. Based on the results, XoCH is the most compact mixture. Finally, quercetin was remarkably more soluble in the studied DESs than in pure water.
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http://dx.doi.org/10.1016/j.foodchem.2019.125610 | DOI Listing |
Polymers (Basel)
January 2025
Institute of Chemistry and Chemical Technology, Faculty of Natural Sciences and Technology, Riga Technical University, P. Valdena 3, LV-1048 Riga, Latvia.
Despite the impressive properties of additively manufactured products, their inherent anisotropy is a crucial challenge for polymeric parts made via fused filament fabrication (FFF). This study compared the tensile, thermophysical, smoke density, and toxicity characteristics of Ultem 9085 (a blend of polyetherimide and polycarbonate) for samples printed in various orientations (X, Y, and Z). The results revealed that mechanical properties, such as elastic modulus and tensile strength, significantly differed from the Z printing orientation, particularly in the X and Y printing layer orientations.
View Article and Find Full Text PDFData Brief
February 2025
Université Paris-Saclay, CEA, CNRS, SPEC, 91191 Gif-sur-Yvette, France.
Silicate glasses are commonly used for many important industrial applications. As such, the literature provides a wealth of different structural, physical, thermodynamic and mechanical properties for many different chemical compositions of oxide glasses. However, a frequent limitation to existing datasets is that only one or two material properties can be evaluated for a given sample.
View Article and Find Full Text PDFJ Mol Model
January 2025
Escuela Superior de Física y Matemáticas, IPN S/N, Edificio 9 de la Unidad Profesional "Adolfo López Mateos", Col. Lindavista, Alc. Gustavo A. Madero, 07738, Mexico City, Mexico.
Context: "Nanostructure of graphene-reinforced with polymethyl methacrylate" (PMMA-G), and vice versa, is investigated using its molecular structure, in the present work. The PMMA-G nanostructure was constructed by bonding PMMA with graphene nanosheet in a sense to get three different configurations. Each configuration consisted of polymeric structures with three degrees of polymerization (such as monomers, dimers, and trimers polymers, respectively).
View Article and Find Full Text PDFSurface active ionic liquids (SAILs), offer potential advantages for pharmaceutical applications. Given the low permeability of gabapentin, an antiepileptic drug, in the gastrointestinal tract as classified by the Biopharmaceutics Classification Systems (BCS), understanding the micellization behavior of SAILs is essential for developing effective drug delivery systems to improve gabapentin bioavailability. This study explores the micellization and thermophysical behavior of SAILs (2-hydroxyethyl)ammonium laurate [2-HEA][Lau], bis(2-hydroxyethyl)ammonium laurate [BHEA][Lau], and tris(2-hydroxyethyl)ammonium laurate [THEA][Lau] in the presence of aqueous gabapentin solution at varied temperatures through COSMO analysis, electrical conductivity and surface tension measurements.
View Article and Find Full Text PDFSci Rep
January 2025
Renewable Energy Research Group, Isfahan, Iran.
The performance of nanofluids is largely determined by their thermophysical properties. Optimizing these properties can significantly enhance nanofluid performance. This study introduces a hybrid strategy based on computational intelligence to determine the optimal conditions for ternary hybrid nanofluids.
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