Anisotropic material synthesis by capillary flow in a fluid stripe
Anisotropic material synthesis by capillary flow in a fluid stripe
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DOI：
10.1016/j.biomaterials.2011.05.057
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发表时间：
2011-09-01
期刊：
影响因子：
14
通讯作者：
Khademhosseini, Ali
中科院分区：
文献类型：
--
作者：
Hancock, Matthew J.;Piraino, Francesco;Khademhosseini, Ali
我们提出了一种简单的台式技术，可以在生物材料中产生厘米长的浓度梯度，包括可溶性、材料和颗粒梯度。通过在基板上绘制亲水性区域，预聚体溶液的条纹通过疏水边界固定在玻璃载玻片上。在“预湿”条纹的一端添加液滴会引起快速的毛细管流动，使液滴沿着条纹扩散，从而在液滴和预湿溶液的相对浓度中产生梯度。梯度的长度和形状受预湿和液滴体积、条纹厚度、流体粘度和表面张力的控制。梯度生物材料是通过预聚物溶液的梯度交联而产生的。所演示的示例包括均匀生物聚合物内包裹在三维（3D）中的细胞的浓度梯度和生物材料梯度内包裹在3D中的细胞的恒定浓度，表现出细胞扩散的梯度。该技术采用涂层玻璃载玻片，可购买或定制由胶带和疏水喷雾。几乎任何研究人员或学生都可以使用这种方法，并且可以大大减少合成各种梯度生物材料所需的时间。此外，由于该技术采用被动机制，因此非常适合远程或资源贫乏的环境。(C) 2011 Elsevier Ltd.版权所有。
We present a simple bench-top technique to produce centimeter long concentration gradients in biomaterials incorporating soluble, material, and particle gradients. By patterning hydrophilic regions on a substrate, a stripe of prepolymer solution is held in place on a glass slide by a hydrophobic boundary. Adding a droplet to one end of this "pre-wet" stripe causes a rapid capillary flow that spreads the droplet along the stripe to generate a gradient in the relative concentrations of the droplet and pre-wet solutions. The gradient length and shape are controlled by the pre-wet and droplet volumes, stripe thickness, fluid viscosity and surface tension. Gradient biomaterials are produced by crosslinking gradients of prepolymer solutions. Demonstrated examples include a concentration gradient of cells encapsulated in three dimensions (3D) within a homogeneous biopolymer and a constant concentration of cells encapsulated in 3D within a biomaterial gradient exhibiting a gradient in cell spreading. The technique employs coated glass slides that may be purchased or custom made from tape and hydrophobic spray. The approach is accessible to virtually any researcher or student and should dramatically reduce the time required to synthesize a wide range of gradient biomaterials. Moreover, since the technique employs passive mechanisms it is ideal for remote or resource poor settings. (C) 2011 Elsevier Ltd. All rights reserved.