Sabín J, Prieto G, Ruso J M, Sarmiento F
Biophysics and Interfaces Group, Department of Applied Physics, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Eur Phys J E Soft Matter. 2007 Oct;24(2):201-10. doi: 10.1140/epje/i2007-10231-3. Epub 2007 Nov 14.
We present a study of the fractal dimension of clusters of large unilamellar vesicles (LUVs) formed by egg yolk phosphatidylcholine (EYPC), dimyristoylphosphocholine (DMPC) and dipalmitoylphosphocholine (DPPC) induced by Ca2+ . Fractal dimensions were calculated by application of two methods, measuring the angular dependency of the light scattered by the clusters and following the evolution of the cluster size. In all cases, the fractal dimensions fell in the range from 2.1 to 1.8, corresponding to two regimes: diffusion-limited cluster aggregation (DLCA) and reaction-limited cluster aggregation (RLCA). Whereas DMPC clusters showed a typical transition from the RLCA to the DLCA aggregation, EYPC exhibited an unusual behaviour, since the aggregation was limited for a higher concentration than the critical aggregation concentration. The behaviour of DPPC was intermediate, with a transition from the RLCA to the DLCA regimes with cluster sizes depending on Ca2+ concentration. Studies on the reversibility of the aggregates show that EYPC and DPPC clusters can be re-dispersed by dilution with water. DMPC does not present reversibility. Reversibility is evidence of the existence of secondary minima in the DLVO potential between two liposomes. To predict these secondary minima, a correction of the DLVO model was necessary taking into account a repulsive force of hydration.
我们展示了一项关于由钙离子诱导形成的蛋黄磷脂酰胆碱(EYPC)、二肉豆蔻酰磷脂酰胆碱(DMPC)和二棕榈酰磷脂酰胆碱(DPPC)的大单层囊泡(LUVs)聚集体分形维数的研究。通过两种方法计算分形维数,一种是测量聚集体散射光的角度依赖性,另一种是跟踪聚集体尺寸的演变。在所有情况下,分形维数落在2.1至1.8的范围内,对应于两种机制:扩散限制聚集体聚集(DLCA)和反应限制聚集体聚集(RLCA)。虽然DMPC聚集体显示出从RLCA到DLCA聚集的典型转变,但EYPC表现出不寻常的行为,因为在高于临界聚集浓度时聚集受到限制。DPPC的行为处于中间状态,随着聚集体尺寸取决于钙离子浓度,从RLCA到DLCA机制有一个转变。对聚集体可逆性的研究表明,EYPC和DPPC聚集体可以通过用水稀释而重新分散。DMPC不存在可逆性。可逆性是两个脂质体之间DLVO势中存在次级最小值的证据。为了预测这些次级最小值,有必要考虑水化排斥力对DLVO模型进行修正。