We numerically investigate colloidal dimers with asymmetric interaction strengths to study how the interplay between molecular geometry, excluded volume effects and attractive forces determines the overall phase behavior of such systems. Specifically, our model is constituted by two rigidly-connected tangent hard spheres interacting with other particles in the first instance via identical square-well attractions. Then, one of the square-well interactions is progressively weakened, until only the corresponding bare hard-core repulsion survives, giving rise to a "Janus dumbbell" model. We investigate structure, thermodynamics and phase behavior of the model by means of successive umbrella sampling and Monte Carlo simulations. In most of the cases, the system behaves as a standard simple fluid, characterized by a gas-liquid phase separation, for sufficiently low temperatures. In these conditions we observe a remarkable linear scaling of the critical temperature as a function of the interaction strength. But, as the interaction potential approaches the Janus dumbbell limit, we observe the spontaneous formation of self-assembled lamellar structures, preempting the gas-liquid phase separation. Comparison with previous studies allows us to pinpoint the role of the interaction range in controlling the onset of ordered structures and the competition between the formation of these structures and gas-liquid condensation.
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Langmuir
January 2025
College of Bioresources Chemical and Materials Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
A novel pH-responsive full-bio-based surfactant (Ca-S) containing a dynamic covalent bond is synthesized using renewable cashew phenol, 5-chloro-2-furanaldehyde, and taurine. The structure of Ca-S is characterized by Fourier transform infrared spectroscopy (FTIR) and H nuclear magnetic resonance (NMR) analysis. Limonene containing oil-in-water (O/W) microemulsions are prepared on the basis of the Ca-S surfactant and are applied to the remediation of oil-contaminated soil under low-energy conditions at ambient temperature.
View Article and Find Full Text PDFNucleic Acids Res
January 2025
Department of Genome Sciences, University of Virginia, PO Box 800717, Charlottesville, VA 22908, USA.
Many transcription factors (TFs) have been shown to bind to super-enhancers, forming transcriptional condensates to activate transcription in various cellular systems. However, the genomic and epigenomic determinants of phase-separated transcriptional condensate formation remain poorly understood. Questions regarding which TFs tend to associate with transcriptional condensates and what factors influence their association are largely unanswered.
View Article and Find Full Text PDFJ Sci Food Agric
January 2025
Department of Food Engineering and Technology, Tezpur University, Tezpur, India.
Background: Incorporating β-carotene into food systems improves nutritional value by providing a natural source of vitamin A. However, maintaining its stability during processing and storage is a significant barrier for its bioavailability.
Results: This study investigated the utilization of banana rachis nanocellulose (BRNC) as a natural stabilizer in the formulation of Pickering nanoemulsion (PNE).
Nanoscale
January 2025
Department of Materials Science and Engineering, Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu 804-8550, Japan.
Self-organization realizes various nanostructures to control material properties such as superconducting vortex pinning and thermal conductivity. However, the self-organization of nucleation and growth is constrained by the growth geometric symmetry. To realize highly controlled three-dimensional nanostructures by self-organization, nanostructure formation that breaks the growth geometric symmetry thermodynamically and kinetically, such as tilted or in-plane aligned nanostructures, is a challenging issue.
View Article and Find Full Text PDFThe concentrations of individual proteins vary between cells, both developmentally and stochastically. The functional consequences of this variation remain largely unexplored due to limited experimental tools to manipulate the relationship of protein concentration to activity. Here, we introduce a genetically encoded tool based on a tunable amyloid that enables precise control of protein concentration thresholds in cells.
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