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Simulation of the formation of densely crosslinked polymeric networks for use as biomaterials.

机译:模拟用作生物材料的致密交联聚合物网络的形成。

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A method simulating the formation of densely crosslinked polymeric networks was developed that incorporates both intramolecular as well as intermolecular interactions and the subsequent effects they have on the end network structure. The all-atom nature of the model allows for the simulation of network formation in a variety of conditions including differing solvent qualities and presence of inert species, as well as non-local effects such as polymerization in the presence of a template molecule. Our all-atom kinetic gelation technique utilized an off-lattice approach that tracked the position and interaction of all atoms throughout the simulation.; This model was subsequently used to study the creation of polymeric networks capable of recognizing and binding one specific molecule out of a host of competing species. Namely, our all-atom kinetic gelation model was used to study the formation of a material capable of recognizing the important biological molecule, D-glucose. One method for the formation of a glucose-responsive material is the molecular imprinting technique, whereby the target molecule is included in the polymerization and acts as a template. In the simulation of this process, electronic structure theory was first used to determine the relevant properties of the monomers of interest. Parameters for a CHARMM-style force field were then derived from these results. Finally, simulation of the imprinted network formation was done using the all-atom kinetic gelation simulation, which highlighted the interactions central to recognition. These results were then verified experimentally.; The imprinting method was then modified to allow for the formation of materials capable of binding large molecules such as proteins. Microparticles capable of binding significant amounts of the protein bovine serum albumin (BSA) were synthesized using this new surface imprinting technique. Densely crosslinked microparticles of a mean diameter of 1.6 mum were formed with a controlled surface chemistry amenable to molecular recognition. Studies of equilibrium protein binding showed significant amounts (18% by weight) of BSA were adsorbed with high affinity while other model proteins were rejected. Possible applications for such materials include bioseparations media, antibody analogues, sensing elements, and recognitive elements for MEMS devices.
机译:开发了一种模拟紧密交联的聚合物网络形成的方法,该方法结合了分子内以及分子间的相互作用以及它们对末端网络结构的后续影响。该模型的全原子性质允许在各种条件下模拟网络形成,包括不同的溶剂质量和惰性物种的存在,以及非局部效应,例如在模板分子存在下的聚合。我们的全原子动力学凝胶化技术利用非晶格方法跟踪整个模拟过程中所有原子的位置和相互作用。该模型随后用于研究能够识别并结合众多竞争物种中的一个特定分子的聚合物网络的创建。即,我们的全原子动力学凝胶化模型用于研究能够识别重要生物分子D-葡萄糖的材料的形成。形成葡萄糖反应性材料的一种方法是分子印迹技术,其中目标分子包含在聚合反应中并充当模板。在此过程的模拟中,首先使用电子结构理论确定目标单体的相关性能。然后,从这些结果中得出CHARMM型力场的参数。最后,使用全原子动力学胶凝模拟对印迹网络的形成进行了模拟,这突出了识别的核心相互作用。然后,通过实验验证了这些结果。然后修改压印方法,以允许形成能够结合大分子(例如蛋白质)的材料。使用这种新的表面印迹技术合成了能够结合大量蛋白质牛血清白蛋白(BSA)的微粒。形成平均直径为1.6微米的致密交联微粒,其表面化学结构可控,易于进行分子识别。平衡蛋白结合的研究表明,大量(18%重量)的BSA被高亲和力吸附,而其他模型蛋白则被排斥。这种材料的可能应用包括用于MEMS装置的生物分离介质,抗体类似物,传感元件和识别元件。

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