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Molecular dynamics of dilute solutions of polymers and DNA with applications.

机译:聚合物和DNA稀溶液的分子动力学及其应用。

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This thesis aims to bridge the macroscopic properties and microscopic behavior of macromolecules in flows. We use Brownian dynamics simulations with the multi-beadspring model without adjustable parameters to predict the behavior in flow of DNA, and conventional polymer molecules, such as polystyrene, and compare the predictions with experimental measurements in extensional and shearing flows. Using parameters obtained a priori from molecular theories and molecular characteristics, we are able to quantitatively or semi-quantitatively predict both the equilibrium and transient deformation properties of individual DNA and other polymer molecules in flowing solutions. From the predictions of molecular deformation in flows, we are able to explain the macroscopic rheological properties of these solutions. The simulations indicate that molecules go through a variety of different conformations (such as Coil, Kink, Fold, Dumbbell, Half-Dumbbell) that affect molecular contributions to the macroscopic properties, such as stress or viscosity, in flows.; With this success in predicting molecular deformations in bulk flows, we then study polymer flow behavior near a solid surface in both simple steady shearing flow and in the flow generated by an evaporating droplet, the latter flow being used in the optical mapping of DNA. The experimental results for DNA molecules in an evaporating droplet indicate that faster evaporation results in better stretching and more taut molecular conformations in the final stage of drying. These results show excellent agreement with the predictions of Brownian dynamics simulations performed by Manish Chopra, a student in our group. The results will be helpful in designing flows for genetic analysis.; Overall, this work can lead to improving understanding of molecular behavior in flows, and such progress will not only benefit the conventional polymer industries, but also emerging technologies, such as high-throughput DNA micro-array analysis.
机译:本论文旨在弥合流动中大分子的宏观特性和微观行为。我们将布朗动力学模拟与没有可调参数的多Beadspring模型一起使用,以预测DNA和常规聚合物分子(例如聚苯乙烯)的流动行为,并将预测结果与拉伸和剪切流动中的实验测量值进行比较。使用从分子理论和分子特性中获得的先验参数,我们能够定量或半定量地预测单个DNA和其他聚合物分子在流动溶液中的平衡和瞬时变形特性。从流动中分子变形的预测,我们能够解释这些溶液的宏观流变性质。模拟表明分子会经历各种不同的构象(例如线圈,扭结,折叠,哑铃,半哑铃),这些构象会影响分子对流体中宏观特性(例如应力或粘度)的贡献。通过成功预测整体流中的分子变形,我们然后研究了简单稳定剪切流和蒸发液滴产生的流中固体表面附近的聚合物流动行为,后者在DNA的光学作图中使用。蒸发液滴中DNA分子的实验结果表明,在干燥的最后阶段,更快的蒸发导致更好的拉伸和更紧密的分子构象。这些结果与我们小组的学生Manish Chopra对布朗动力学模拟的预测非常吻合。结果将有助于设计遗传分析流程。总的来说,这项工作可以增进人们对流动中分子行为的了解,这种进步不仅有益于传统的聚合物行业,也有利于新兴技术,例如高通量DNA微阵列分析。

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