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WITHDRAWAL OF A CONICAL PIN FROM A POOL OF LIQUID

机译:从液体池中取出锥形销

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The development of biochips leads to a straightforward, fast and cost effective method to obtain valuable genetic information. A key element of the emerging biochip technology is a microarray system, which fabricates high-density samples on solid materials of a microscopic area. In particular, dots of test liquid are printed on solids by a system of pins constituting a microarray. At present, however, the technique cannot make dots of arbitrary equivalent and controllable size. On the other hand, printing pins in microarrays represent themselves as a particular example of dip coating. In the experiments of the present work, a model of tapered stainless steel needle was withdrawn from different glycerine-water mixtures. Thicknesses and volumes of the withdrawn liquid films were measured as a function of the needle geometry, immersion depth, withdrawal rate, and physical parameters of the liquid. The experimental data are analyzed as a function of the capillary number Ca based on the withdrawal speed and compared to the predictions of the modified Landau-Levich-Deryagin (LLD) theory. The results show that for Ca < 10~(-2) the thickness and the volume of the liquid follow the Ca~(2/3)-scaling, while for Ca > 10~(-2) - the Ca~(1/2)-scaling, as it is expected from the LLD theory. Flow visualization is utilized to resolve the detail flow structure. The results put the key element of the pin-printing technology exploited in microarrays into a familiar hydrodynamic context of dip coating. This allows one to expect that under appropriate operational conditions, high-precision sampling could be attainable.
机译:生物芯片的发展导致一种直接,快速且经济高效的方法来获取有价值的遗传信息。新兴生物芯片技术的关键要素是微阵列系统,该系统可在微观区域的固体材料上制造高密度样品。特别地,通过构成微阵列的销钉系统将测试液体的点印刷在固体上。然而,目前,该技术不能制造任意等效且可控制的大小的点。另一方面,微阵列中的印刷销将其自身表示为浸涂的特定示例。在本工作的实验中,从不同的甘油-水混合物中抽出了锥形不锈钢针头模型。根据针的几何形状,浸入深度,抽出速率和液体的物理参数,测量抽出的液膜的厚度和体积。基于抽出速度,将实验数据作为毛细管数Ca的函数进行分析,并与改进的Landau-Levich-Deryagin(LLD)理论的预测进行比较。结果表明,对于Ca <10〜(-2),液体的厚度和体积遵循Ca〜(2/3)的比例变化;而对于Ca> 10〜(-2)-钙〜(1 / 2)缩放,这是LLD理论所期望的。流可视化用于解析详细流结构。结果将微阵列中使用的针式印刷技术的关键要素置于浸涂的熟悉的流体力学环境中。这使人们期望在适当的操作条件下可以实现高精度采样。

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