We synthesized the glutaraldehyde cross-linked hydrogels using four kinds of poly(lysine)s (PLs) and measured the equilibrium swelling ratio (Q) as a function of pH. Also measured was the temperature change of Q at a fixed pH (11.6) in the absence and presence of additives (LiBr, methanol and urea) that affect the secondary structure of PLs. The swelling data were examined using a force balance approach in which the repulsive and attractive interactions among the cross-linked PL chains were considered based on the conformational properties of PLs in aqueous solutions. It was found that the formation of the helical segments in the cross-linked chain has little effect in the gel collapse, but their association acts as the attractive interaction causing the gel to shrink. The formation of the beta-sheet structure within the network also acts as the attractive interaction. These attractive interactions are mainly due to the hydrogen bonding, but hydrophobic interactions between the lysine side chains should be considered. In addition, in the swelling behavior of all the PL gels the polyampholyte nature appears due to electrostatic interactions of the basic groups with the C-terminal carboxyl group.
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http://dx.doi.org/10.1016/j.colsurfb.2011.05.033 | DOI Listing |
Phys Rev Lett
December 2024
School of Physics and Astronomy, Institute of Natural Sciences and MOE-LSC, Shanghai Jiao Tong University, Shanghai 200240, China.
Chemically driven micromotors exhibit a pronounced affinity for nearby surfaces, yet the quantification of this motor-wall interaction strength remains unexplored in experiments. Here, we apply an external force to a self-electrophoretic micromotor which slides along a wall and measures the force necessary to disengage the motor from the wall. Our experiments unveil that the required disengaging force increases with the strength of chemical driving, often surpassing both the motor's effective gravity and its propulsive thrust.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Entomology and Plant Pathology, North Carolina State University, Raleigh, North Carolina, United States of America.
Vector control is essential for eliminating malaria, a vector-borne parasitic disease responsible for over half a million deaths annually. Success of vector control programs hinges on community acceptance of products like long-lasting insecticide-treated nets (LLINs). Communities in malaria-endemic regions often link LLIN efficacy to their ability to control indoor pests such as bed bugs (Cimex lectularius L.
View Article and Find Full Text PDFEnviron Geochem Health
January 2025
Nuclear Technology Research and Development Center, Thailand Institute of Nuclear Technology, Nakhon Nayok, 26120, Thailand.
The present study aimed to investigate the hydrogeochemical patterns and contamination of the radiogeology, especially radon activity, related to geothermal aquifer properties and to perform a risk assessment of annual effective doses covering all hydrothermal spring attractions in Southern Thailand. Radon is an established lung carcinogen; especially longer term exposure to radioactive radon through inhalation could be a cause of lung cancer risk. Altogether 22 hydrothermal spring samples were collected from the six hydrothermal provinces in Southern Thailand in early November of 2023.
View Article and Find Full Text PDFBiomater Sci
January 2025
Research Institute for Biomimetics and Soft Matter, Fujian Provincial Key Laboratory for Soft Functional Materials Research, Department of Physics, College of Physical Science and Technology, Xiamen University, Xiamen 361005, China.
Nature-inspired superhydrophobic materials have attracted considerable interest in blood-contacting biomedical applications due to their remarkable water-repellent and self-cleaning properties. However, the interaction mechanism between blood components and superhydrophobic surfaces remains unclear. To explore the effect of trapped air on platelet adhesion, we designed four distinct hydrophobic titanium dioxide (TiO) nanostructures with different fractions of trapped air.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Computer Science, Hunan University, Changsha 410008, China.
Recently, the impressive performance of large language models (LLMs) on a wide range of tasks has attracted an increasing number of attempts to apply LLMs in drug discovery. However, molecule optimization, a critical task in the drug discovery pipeline, is currently an area that has seen little involvement from LLMs. Most of existing approaches focus solely on capturing the underlying patterns in chemical structures provided by the data, without taking advantage of expert feedback.
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