Control and analysis of oriented thin films of lipid inverse bicontinuous cubic phases using grazing incidence small-angle X-ray scattering.
Control and analysis of oriented thin films of lipid inverse bicontinuous cubic phases using grazing incidence small-angle X-ray scattering.
复制标题
使用掠入射小角 X 射线散射控制和分析脂质反双连续立方相的定向薄膜。
作者：
Martyn Rittman;H. Amenitsch;M. Rappolt;B. Sartori;B. O'driscoll;A. Squires
脂质立方相是在各种生物系统中自然形成的复杂纳米结构，其应用包括药物输送和纳米模板。大多数关于脂质立方相的 X 射线散射研究都使用未定向的多域样品作为块状凝胶或微米尺寸立方体的悬浮液。我们提出了一种以新形式研究立方相的方法，作为支撑薄膜，可以使用掠入射小角度 X 射线散射 (GISAXS) 进行分析。我们提供三种脂质系统的 GISAXS 数据：植烷三醇和两种等级的油酸甘油酯（研究级和工业级）。薄膜的使用带来了许多优点。首先，样品表现出关于基底法线的高度单轴取向。其次，新的形态允许使用受控的温度和湿度环境精确控制基底中间相几何形状和晶格参数，并且我们证明了定向金刚石和螺旋体反双连续立方以及层状相的可控形成。最后，薄膜形态允许通过亚分钟时间尺度上的湿度变化诱导这些中间相结构之间的可逆相变，并且我们提供了监测这些转变的时间分辨 GISAXS 数据。
Lipid cubic phases are complex nanostructures that form naturally in a variety of biological systems, with applications including drug delivery and nanotemplating. Most X-ray scattering studies on lipid cubic phases have used unoriented polydomain samples as either bulk gels or suspensions of micrometer-sized cubosomes. We present a method of investigating cubic phases in a new form, as supported thin films that can be analyzed using grazing incidence small-angle X-ray scattering (GISAXS). We present GISAXS data on three lipid systems: phytantriol and two grades of monoolein (research and industrial). The use of thin films brings a number of advantages. First, the samples exhibit a high degree of uniaxial orientation about the substrate normal. Second, the new morphology allows precise control of the substrate mesophase geometry and lattice parameter using a controlled temperature and humidity environment, and we demonstrate the controllable formation of oriented diamond and gyroid inverse bicontinuous cubic along with lamellar phases. Finally, the thin film morphology allows the induction of reversible phase transitions between these mesophase structures by changes in humidity on subminute time scales, and we present time-resolved GISAXS data monitoring these transformations.
影响因子：
2.9
作者：
Caffrey M;Li D;Dukkipati A
通讯作者：
Dukkipati A
影响因子：
3.9
作者：
Conn, Charlotte E.;Ces, Oscar;Seddon, John M.
通讯作者：
Seddon, John M.