Ye Q, van Osdol W W, Biltonen R L
University of Virginia, Department of Biochemistry and Pharmacology, Charlottesville.
Biophys J. 1991 Nov;60(5):1002-7. doi: 10.1016/S0006-3495(91)82137-3.
The relaxation kinetics of the gel-liquid crystalline transition of phosphatidylcholine (DC14PC, DC16PC, and DC18PC) multilamellar vesicles have been examined using volume-perturbation calorimetry. The time-dependent temperature and pressure changes associated with a periodic volume perturbation are monitored in real time. Data collected in the time domain are transformed to the frequency domain using Fourier series representations of the perturbation and response functions. Because a very small perturbation is imposed during the experiment, linear response theory is suitable for analysis of the relaxation process. The Laplace transform of the classical Kolmogorov-Avrami relation of transition kinetics is used to describe the dynamic response in the frequency domain. For DC14PC and DC16PC, the relaxation process is better fit with an effective dimensionality of n = 2 rather than n = 1. For DC18PC, we estimate that an effective dimensionality of approximately 1.5 will best fit the data. These results indicate that the gel-liquid crystalline transition of these lipid bilayers follows the classical Kolmogorov-Avrami kinetic model with an effective dimensionality greater than 1 and the assumption of simple exponential decay (n = 1) commonly used in data analysis may not always be valid for lipid transitions. Insofar as the dimensionality of the relaxation reflects the geometry of fluctuating lipid clusters, this parameter may be useful in connecting experimental thermodynamic and kinetic results with those obtained from Monte Carlo simulations.
利用体积扰动量热法研究了磷脂酰胆碱(DC14PC、DC16PC和DC18PC)多层囊泡凝胶-液晶转变的弛豫动力学。实时监测与周期性体积扰动相关的随时间变化的温度和压力变化。利用扰动和响应函数的傅里叶级数表示,将在时域中收集的数据转换到频域。由于实验过程中施加的扰动非常小,线性响应理论适用于弛豫过程的分析。采用转变动力学经典Kolmogorov-Avrami关系的拉普拉斯变换来描述频域中的动态响应。对于DC14PC和DC16PC,弛豫过程用有效维度n = 2比n = 1能更好地拟合。对于DC18PC,我们估计有效维度约为1.5最能拟合数据。这些结果表明,这些脂质双层的凝胶-液晶转变遵循经典的Kolmogorov-Avrami动力学模型,有效维度大于1,数据分析中常用的简单指数衰减假设(n = 1)可能并不总是适用于脂质转变。就弛豫的维度反映波动脂质簇的几何形状而言,该参数可能有助于将实验热力学和动力学结果与蒙特卡罗模拟得到的结果联系起来。