Reddy Mallikarjun P V N, Bachal Ketaki, Gandhi Prasanna, Majumder Abhijit
Department of Chemical Engineering, IIT Bombay, Powai 400076, India.
Department of Mechanical Engineering, IIT Bombay, Powai 400076, India.
Biomicrofluidics. 2024 Aug 20;18(4):044106. doi: 10.1063/5.0211140. eCollection 2024 Jul.
Microfluidic concentration gradient generators (-CGGs) are critical in various biochemical assays, including cell migration, drug screening, and antimicrobial susceptibility testing. However, current -CGGs rely on integration with flow systems, limiting their scalability and widespread adoption owing to limited infrastructure and technical expertise. Hence, there is a need for flowless diffusional gradient generators capable of standalone operation, thereby improving throughput and usability. In this study, we model such a diffusional -CGG as an infinite source-sink system to capture two characteristic timescales: (i) gradient generation dictated by the diffusion timescale and (ii) stability determined by the rate of change in reservoir concentrations. Through finite-element simulations, we explored the influence of various geometric parameters such as the channel length, cross-sectional area, node and reservoir volumes, and the solute diffusivity on these timescales, along with experimental confirmation using fluorescent tracer diffusion. Our results show that while the gradient stability strongly depends on the reservoir volumes, diffusion length, and solute diffusion coefficient, they are independent of the node shape or the shape of the channel cross section. However, gradient profiles were found to be the strong functions of the diffusion length, solute diffusivity, and the geometric pattern of the microfluidic grid. Additionally, we showcased the versatility of the design by generating discrete gradient profiles and combinatorial gradients of two and three solutes, thus improving throughput in a wide range of on-chip biological assays. These findings underscore the potential of our microfluidic device as an easy-to-use, inexpensive, efficient, and high-throughput platform for various on-chip biological assays.
微流控浓度梯度发生器(-CGGs)在各种生化检测中至关重要,包括细胞迁移、药物筛选和抗菌药敏试验。然而,目前的-CGGs依赖于与流动系统集成,由于基础设施和技术专业知识有限,限制了它们的可扩展性和广泛应用。因此,需要能够独立运行的无流扩散梯度发生器,从而提高通量和可用性。在本研究中,我们将这种扩散-CGG建模为无限源-汇系统,以捕捉两个特征时间尺度:(i)由扩散时间尺度决定的梯度生成,以及(ii)由储液器浓度变化率决定的稳定性。通过有限元模拟,我们探讨了各种几何参数,如通道长度、横截面积、节点和储液器体积以及溶质扩散率对这些时间尺度的影响,并使用荧光示踪剂扩散进行了实验验证。我们的结果表明,虽然梯度稳定性强烈依赖于储液器体积、扩散长度和溶质扩散系数,但它们与节点形状或通道横截面形状无关。然而,发现梯度分布是扩散长度、溶质扩散率和微流控网格几何图案的强函数。此外,我们通过生成离散梯度分布以及两种和三种溶质的组合梯度展示了该设计的多功能性,从而提高了广泛的芯片上生物检测的通量。这些发现强调了我们的微流控装置作为一种易于使用、廉价、高效且高通量的平台用于各种芯片上生物检测的潜力。