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Dissolution of solid matter into aqueous solution is one of the most challenging physicochemical aspects related to drug development. While influenced by several parameters, the effect of pH remains the most important one to be fully understood. The dissolution process is essentially controlled by activity at the surface of the molecular crystals, which is difficult to characterize experimentally. To address this, a combination of atomic force microscopy (AFM) with molecular dynamics (MD) simulation is reported. AFM allows for direct visualization of the crystal surface of basic and acidic model compounds (carvedilol and ibuprofen) in contact with an aqueous medium with varying pH. A dramatic increase in surface mobility in the solid-liquid interface could be observed experimentally as a function of pH. The AFM approach opens up for a more detailed understanding of the behavior of particulate matter in solution with importance at different levels, ranging from engineering aspects related to crystallization, and biological considerations related to bioavailability of the final drug product.
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http://dx.doi.org/10.1021/acs.molpharmaceut.2c00087 | DOI Listing |
ACS Nano
September 2025
CINBIO and Departamento de Química Orgánica. Campus Lagoas-Marcosende, Universidade de Vigo, Vigo E-36310, Spain.
Archimedean spirals are architectural motifs that are found in nature. The facial asymmetry of amphiphilic molecules or macromolecules has been a key parameter in the preparation of these well-organized two-dimensional nanostructures in the laboratory. This facial asymmetry is also present in the helical grooves of chiral helical substituted poly(phenylacetylene)s (PPAs) and poly(diphenylacetylene)s (PDPAs), making them excellent candidates for self-assembly into 2D Archimedean nanospirals or nanotoroids.
View Article and Find Full Text PDFSmall
September 2025
College of Science, Nanjing Forestry University, Nanjing, 210037, China.
Inspired by the rigid exoskeleton and elastic inner tissues of crustaceans, a bilayer gel integrating high-strength rigidity and soft cushioning with high interfacial adhesion (1060 ± 40 J m ) is developed via a stepwise solid-liquid phase crosslinking strategy. Herein, a prefrozen high-concentration polyvinyl alcohol (PVA) solution forms a solid-state structural framework, while a subsequently cast low-concentration PVA solution generates a flexible layer. Partial thawing of the frozen gel during casting triggers molecular chain interpenetration at the interface, synergistically enhanced by controlled molecular penetration, freeze-thaw cycles, and salt-induced crystallization.
View Article and Find Full Text PDFAdv Mater
September 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Liquid crystal elastomers (LCEs) are important soft actuators that show strong promise in many fields where traditional rigid actuators or robotics are impractical. However, their real-world applications are lacking primarily due to inadequate actuation performance and complicated fabrication processes. Here, a novel design is reported that significantly enhances actuation performance while simplifying the fabrication process.
View Article and Find Full Text PDFFEBS Open Bio
September 2025
School of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Hyperlipidemia is a common chronic disease characterized by elevated levels of lipids in the blood. There is some evidence that suggests that berberine (BBR) might be beneficial for the treatment of hyperlipidemia. However, its low intestinal bioavailability limits its potential therapeutic action.
View Article and Find Full Text PDFPhys Chem Chem Phys
September 2025
State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Selenium, as an important semiconductor material, exhibits significant potential for understanding lattice dynamics and thermoelectric applications through its thermal transport properties. Conventional empirical potentials are often unable to accurately describe the phonon transport properties of selenium crystals, which limits in-depth understanding of their thermal conduction mechanisms. To address this issue, this study developed a high-precision machine learning potential (MLP), with training datasets generated molecular dynamics simulations.
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