The rise in the popularity of lipid nanoparticle (LNP)-based formulations necessitates the need for screening tools to quickly predict their colloidal stability in the presence of common excipients. Protein chemists have employed the diffusion interaction parameter () determined using dynamic light scattering as an indicator of formulation stability, yet this approach has not been applied to particulate systems. Herein, measurements of LNPs revealed behavior dissimilar to that of proteins. LNP interactions were inherently weakly attractive and unaffected by increasing concentrations of NaCl. The small change in the value in the presence of different salts was dependent upon salt molecular identity and consistent with the Hofmeister series. In addition, calculation of the hydrodynamic radius at infinite dilution () revealed a slight reduction in the LNP size with increasing NaCl concentration. Overall, while traditional measurements provide limited information about LNP stability, the assay provides insight into physical changes to LNP in the presence of excipients via extrapolation of the diffusion coefficient to infinite dilution.
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http://dx.doi.org/10.1021/acs.analchem.4c06089 | DOI Listing |
Anal Chem
January 2025
School of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide 5005, Australia.
The rise in the popularity of lipid nanoparticle (LNP)-based formulations necessitates the need for screening tools to quickly predict their colloidal stability in the presence of common excipients. Protein chemists have employed the diffusion interaction parameter () determined using dynamic light scattering as an indicator of formulation stability, yet this approach has not been applied to particulate systems. Herein, measurements of LNPs revealed behavior dissimilar to that of proteins.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands.
A new methodology based on the Hamieh thermal model was applied for the determination of the surface properties of solid surfaces. The new approach consisted of the accurate quantification of the London dispersive surface energy of materials using the two-dimensional inverse gas chromatography technique at infinite dilution. This technique used the notion of the net retention volume of adsorbed molecules on the solid catalysts, allowing the determination of the free energy of adsorption.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physical Chemistry, University of Chemistry and Technology, Prague, Technická 5, 166 28, Prague 6, Czech Republic.
Bulk properties of two-phase systems comprising methane and liquid p-xylene were derived experimentally using neutron imaging and theoretically predicted using molecular dynamics (MD). The measured and predicted methane diffusivity in the liquid, Henry's law constant, apparent molar volume, and surface tension compared well within the experimentally studied conditions (273.15 to 303.
View Article and Find Full Text PDFChemphyschem
December 2024
Laboratory of Physical Chemistry, Department of Chemistry, University of Ioannina, 45110, Ioannina, Greece.
The solvation structure and dynamics of the thiocyanate anion at infinite dilution in mixed N, N-Dimethylformamide (DMF)-water liquid solvents was studied using classical molecular dynamics simulation techniques. The results obtained have indicated a preferential solvation of the thiocyanate anions by the water molecules, due to strong hydrogen bonding interactions between the anion and water molecules. A first hydration shell at short intermolecular distances is formed around the SCN anion consisting mainly by water molecules, followed by a second shell consisting by both DMF and water molecules.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal.
This study addresses a critical gap in the existing literature on carbon dioxide and ionic liquid (IL) mixtures, where fragmented and incomplete data, particularly for flow properties, hinder practical applications. Therefore, this work aimed to establish a robust and efficient method for predicting the density of the CO-IL mixtures across diverse operating conditions and IL families using novel validation techniques. Both linear and symbolic regression models provided relevant insights but failed to accurately capture the IL-CO interactions in a mixture that determine the molar volume of CO at infinite dilution when solubilized by a given IL.
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