Recently, three-dimensional (3D) scaffolds produced using poly-Pickering high internal phase emulsions (polyHIPEs) technology are particularly attractive in biomedical application. However, until now the most investigated polyHIPEs are hydrophobic composites originating from synthetic polymers. Here we present an investigation of a hierarchical porous protein scaffold templated from oil-in-water (O/W) HIPEs costabilized by fully natural materials, gelatin, and gelatin nanoparticles. Fairly monodispersed gelatin nanoparticles were first synthesized through a two-step desolvation method, and then they were used as emulsifiers together with gelatin to fabricate stable HIPEs with adjustable droplet size distribution and rheology. Monolithic scaffolds were formed by cross-linking the HIPEs with polymers as low as 2.5 wt % in the continuous phase, which appropriately presented a general high porosity and had an interconnected porous morphology with smooth pore walls and textured structures. Furthermore, the scaffolds were degradable and showed reasonably good biocompatibility; L929 cells could adhere to the surface of the materials and exhibited intensive growth and well-spread morphology. This hierarchical porous protein scaffold could, therefore, have important application as a 3D scaffold that offers enhanced cell adhesion and functionality.
The reaction of BeH+ with background gas H2O may play a role in qubit loss for quantum information processing with Be+ as trapped ions, and yet its reaction mechanism has...
The paper summarizes recent advances in Er and Yb doped mode locked fiber lasers with saturable absorbers such as semiconductor and carbon nanotube saturable absorbers.
The reaction of BeH+ with background gas H2O may play a role in qubit loss for quantum information processing with Be+ as trapped ions, and yet its reaction mechanism has not been well understood until now. In this work, a globally accurate, full-dimensional ground-state potential energy surface (PES) for the BeH+ + H2O reaction was constructed by fitting a total of 170,438 ab initio energy points at the level of RCCSD(T)-F12/aug-cc-pVTZ using the fundamental invariant-neural network method. The total root-mean-square error of the final PES was 0.178 kcal mol-1. For comparison, quasi-classical trajectory calculations were carried out on the PES at the experimental temperature of 150 K. The obtained thermal rate constant and product branching ratio of the BeD+ + H2O reaction agreed quite well with experimental results. In addition, the vibrational state distributions and energy disposals of the products were calculated and rationalized by the sudden vector projection model.
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