Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry.
Quantifying Brownian motion in the presence of simple shear flow with particle diffusometry.
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DOI：
10.1007/s00348-022-03566-8
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发表时间：
2023
影响因子：
2.4
通讯作者：
中科院分区：
文献类型：
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作者：
粒子扩散法是一种从粒子图像测速技术衍生而来的技术，通过计算扩散系数来量化悬浮在静止溶液中的粒子的布朗运动。颗粒扩散测定法已用于病原体检测，通过测量由于来自特定基因靶标的扩增DNA而引起的溶液粘度的变化。然而，颗粒扩散测定法无法在升高的温度和流体流动下计算准确的测量值。因此，这两个电流限制阻碍了可以进一步使用颗粒扩散测定法的潜在应用。在这项工作中，我们扩展了粒子扩散法的可用性，适用于简单的剪切流动和各种温度下的流体样品。创建一系列扩散系数视频来模拟颗粒在流动和温度条件下的布朗运动。我们更新的颗粒扩散分析在三种不同的剪切流多项式下形成了一个校正方程，流量和温度在25 ° C到65 °C之间变化。通过在矩形截面通道中使用注射泵产生恒定流量的实验，对改进算法进行了分析。在模拟分析中，修改后的算法成功地计算了扩散系数与10%的误差，平均流量高达8对所有三种流动类型。补充实验证实了模拟结果。
Particle diffusometry, a technology derived from particle image velocimetry, quantifies the Brownian motion of particles suspended in a quiescent solution by computing the diffusion coefficient. Particle diffusometry has been used for pathogen detection by measuring the change in solution viscosity due to amplified DNA from a specific gene target. However, particle diffusometry fails to calculate accurate measurements at elevated temperatures and fluid flow. Therefore, these two current limitations hinder the potential application where particle diffusometry can further be used. In this work, we expanded the usability of particle diffusometry to be applied to fluid samples with simple shear flow and at various temperatures. A range of diffusion coefficient videos is created to simulate the Brownian motion of particles under flow and temperature conditions. Our updated particle diffusometry analysis forms a correction equation under three different polynomial degrees of shear flow with varying flow rates and temperatures between 25 and 65 °C. An experiment in a channel with a rectangular cross section using a syringe pump to generate a constant flow is done to analyze the modified algorithm. In simulation analysis, the modified algorithm successfully computes the diffusion coefficients with 10% error for an average flow rate of up to 8 on all three flow types. Complementary experiments confirm the simulation results.
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DOI：
10.1016/0378-4371(79)90143-2
发表时间：
1979-01-01
影响因子：
3.3
作者：
SANMIGUEL, M;SANCHO, JM
通讯作者：
SANCHO, JM
影响因子：
2.4
作者：
Samarage, Chaminda R.;Carberry, Josie;Fouras, Andreas
通讯作者：
Fouras, Andreas
影响因子：
6.2
作者：
Colbert AJ;Lee DH;Clayton KN;Wereley ST;Linnes JC;Kinzer-Ursem TL
通讯作者：
Kinzer-Ursem TL
影响因子：
12.6
作者：
Moehling TJ;Lee DH;Henderson ME;McDonald MK;Tsang PH;Kaakeh S;Kim ES;Wereley ST;Kinzer-Ursem TL;Clayton KN;Linnes JC
通讯作者：
Linnes JC
影响因子：
2.4
作者：
Einstein, A
通讯作者：
Einstein, A