Hofrichter J
J Mol Biol. 1986 Jun 5;189(3):553-71. doi: 10.1016/0022-2836(86)90324-4.
The polymerization kinetics of sickle cell hemoglobin are found to exhibit stochastic variations when observed in very small volumes (approximately 10(-10) cm3). The distribution of progress curves has been measured at several temperatures for a 4.50 mM-hemoglobin S sample using a laser-photolysis, light-scattering technique. The progress curves at a given temperature are superimposable when translated along the time axis, showing that the variability of the kinetic progress curves results primarily from fluctuations in the time at which polymerization is initiated. The shapes of the initial part of the progress curves are well-fitted using the functional form I(t) = Io + As exp (Bt), derived from a dual nucleation model. When the distribution of the measured tenth times is broad, the rate of homogeneous nucleation can be obtained by fitting the exponential tail of the distribution. As the distribution sharpen, the rate of homogeneous nucleation can be estimated by modelling the width of the distribution function using a simple Monte-Carlo simulation of the polymerization kinetics. Using the rates of homogeneous nucleation obtained from the distributions, the rates of heterogeneous nucleation and polymer growth can be obtained from the experimental parameters As and B. The resulting nucleation rates are roughly 1000 times greater than those obtained from an analysis of bulk kinetic data. The results provide strong support for the dual-nucleation mechanism and show that the distribution of progress curves provides a powerful independent method for measuring the rate of homogeneous nucleation and thereby obtaining values for the other principal rates of the mechanism.
当在非常小的体积(约10^(-10) cm³)中观察时,发现镰状细胞血红蛋白的聚合动力学呈现出随机变化。使用激光光解、光散射技术,在几个温度下测量了4.50 mM血红蛋白S样品的进程曲线分布。当沿时间轴平移时,给定温度下的进程曲线是可叠加的,这表明动力学进程曲线的变异性主要源于聚合起始时间的波动。进程曲线初始部分的形状使用从双成核模型导出的函数形式I(t) = Io + As exp (Bt)进行了很好的拟合。当测量的第十次时间分布较宽时,可以通过拟合分布的指数尾部来获得均相成核速率。随着分布变尖锐,可以通过使用聚合动力学的简单蒙特卡罗模拟对分布函数的宽度进行建模来估计均相成核速率。利用从分布中获得的均相成核速率,可以从实验参数As和B中获得异相成核速率和聚合物生长速率。所得的成核速率大约比从体相动力学数据分析中获得的速率大1000倍。这些结果为双成核机制提供了有力支持,并表明进程曲线的分布为测量均相成核速率并由此获得该机制其他主要速率的值提供了一种强大的独立方法。