CD4 T-lymphocytes (CD4 cells) are a type of T lymphocyte that plays an important role in the immune system, helping to fight germs and protect the body from disease. Accurate enumeration of CD4 T cells is crucial for assessing immune health and diagnosing various diseases. This study presents the development and validation of a novel microfluidic biochip system designed for the detection and counting of CD4 T cells using impedance measurements. The proposed system integrated a cell detection chip with a cost-effective signal processing circuit, which included an instrumental amplifier and a highly sensitive lock-in amplifier. The sensing structure, created using advanced microfabrication technology, consists of three microelectrodes and a 50 × 50 μm measurement aperture. The detection principle relied on the impedance imbalance caused by the presence of CD4 T cells in the fluidic flow between adjacent sensing electrodes. The system's performance was validated through extensive experiments, demonstrating high accuracy in detecting and counting CD4 T cells separated from whole blood based on their magnetic properties. The experimental results indicate that the proposed system was simpler, faster, and more cost-effective compared to traditional laser flow cytometry. Furthermore, the system’s portability and ease of use made it highly suitable for point-of-care diagnostics and on-site cell analysis. The utilization of microfabrication technology and impedance measurement not only enhanced efficiency and accuracy but also offered a reliable solution for rapid biological cell detection. Future work will focus on enhancing the throughput and miniaturizing the sensing structure to align with the high standards of conventional flow cytometry while maintaining cost-effectiveness and simplicity. This research lays a solid foundation for the development of advanced lab-on-a-chip technologies for biological cell detection and analysis, promising significant improvements in healthcare diagnostics and monitoring.
Microfluidics is turning out to be essential for the advancement of scientific research, healthcare, and various other applications due to its ability to provide precise control, miniaturization, and integration of fluid samples. Existing research shows a considerable growth rate in the utilization of microfluidics-based techniques, especially in the biomedical field for disease detection, drug analysis, cell analysis, and more. However, the development of microfluidic systems for soil nutrition testing applications is still a challenging task due to the need for micro scale dimensions and a high degree of precision during the fabrication and detection of soil nutrients. The present investigation aims to find the most suitable design for the microfluidic chip that can control and detect microfluid containing soil nutrients, especially nitrites, effectively. To achieve this goal, the parameters of different microchannel (MC) specimens, such as snug height, channel width, obstacle pitch, mean mixture pressure, wall shear stress, strain rate, and total pressure, are analyzed. In addition, the Response Surface Methodology (RSM) is introduced to statistically authenticate the obtained simulation data. As a result, the present investigation proposes the optimal MC design with optimal parameters: snug height of 0.35 mm, channel width of 1.54 mm, obstacle pitch of 2.5 mm, mean mixture pressure of 0.24 MPa, wall shear stress of 1.1 Pa, strain rate of 2259 s−1, and total pressure of 1.42 MPa. Moreover, the functionality of the proposed microfluidic chip was calibrated and predicted using the Deep Neural Network-based Modified Sea Horse Optimizer (DNN-MSHO) algorithm, confirming the presence of nitrites in the used soil samples in a range of 2.81–4.18 ppm, which again proves the efficiency and trustworthiness of the proposed microfluidic chip design and its usability in real soil testing applications.
Experiments on contaminated Taylor flows in a square microchannel were carried out to investigate the effects of surfactant on the bubble shape in the nose and tail regions for different surfactant properties. The nose curvature was found to be proportional to the bubble length at low surfactant concentrations, while it was independent of the concentration at high concentrations. The rate of increase in the nose curvature at the former concentrations can be expressed in terms of the surface coverage ratio. The bubble velocity decreased with increasing the nose curvature, whereas the surface tension reduced by surfactant adsorption worked better to correlate the velocity data. The curvature of the bubble tail increased steeply at low concentrations as a consequence of the early coverage due to interfacial advection. The tail curvature also had a strong correlation with the surface coverage ratio.
Boundary conditions at the surface of a layer of flexible fibers (i.e. the canopy envelope) subjected to fluid flow are proposed for uniform and non-uniform motions of the fibers, where the fibers exhibit identical and individual motions, respectively, to understand the mechanisms of the swaying motion of the canopy. By assuming small deflections, the fibers are treated as rigid rods hinged to a flat wall and the effects of the hydrodynamic force on the fibers are expressed with the moment of fluid forces by averaging the Navier–Stokes equations. For the uniformly moving case, displacement of the envelope is represented by a mass-spring-damper system driven by the hydrodynamic force. As the non-uniformity of the canopy behavior enhances, the effects of the diffusion of fiber velocities and fluid inertia along the fiber stems play a more important role in the envelope displacement equation. Numerical simulations of fluid flow are conducted with the envelope displacement models as the boundary conditions at the canopy surface. The validity of the present models is assessed by comparison with the results of fluid–structure interaction (FSI) simulation, which directly solves the interaction between individual fibers and fluid by an immersed boundary method. With the envelope model for non-uniform displacement, the grid convergence of the numerical result is about a first order rate. The comparison of the terms in the envelope model for non-uniform displacement shows that diffusion of fiber velocities dominates the motion of fibers. The applicability of the model is assessed by varying the number density of the fibers.
Passive micromixers, known for their notable mixing effectiveness and simple manufacturing, are extensively utilized in the lab on chip devices, the bio-medicinal industry, the pharma industry and chemical process. Among the various designs of passive micromixers, the simple T-junction micromixer and the vortex T-junction micromixer are basic designs. In this paper, a comparative study was performed to analyze the influence of bend structural channels on the mixing quality, pressure drop and mixing cost for simple and vortex T micromixers by using numerical simulations. Reynolds numbers (30–120) and angle of bend (θ) ranging from 0° to 180° are the crucial parameters for the investigation. The outcomes suggest that vortex T-junction micromixers with bend structural channels have a greater mixing index than simple T-junction micromixers with bend structural channels, across all the Reynolds values. The findings also suggest that increasing the angle of bend (θ) improves the mixing performance. Additionally, the degree of mixing performance and pressure reduction both exhibit a positive correlation with higher Reynolds numbers.
Contactless dielectrophoresis is an effective method for trapping and manipulating cells in microfluidic devices. However, the efficiency of these devices decreases at higher flow rates. To address the limitation of previous studies, a new pillar shape is introduced and numerically simulated to isolate THP-1 cells and efficiently separate them from red blood cells (RBCs). A comparison is made in two microchannels with the novel pillar shape of two perpendicular ellipses and the circular pillar shape as the reference case. Simulation results demonstrate that the use of two perpendicular ellipticals pillar shape improves the electric characteristics of the device, showing 92.7% higher (nabla {E}_{rms}^{2}) compared to the channel with circular pillars. The working frequency is selected based on the CM factor to isolate THP-1 cells without affecting RBCs. Additionally, the new pillar configuration exhibited 116% higher cell trap efficiency compared to the chip with circular pillars.
This article discusses the significance of Soret and Dufour, non-uniform heat generation, activation energy on radiative 3D flow of trihybrid nanofluid over a sheet with Marangoni convection. The energy equation takes into consideration the impacts of the heat generation, while the concentration equation takes activation energy into account. This trihybrid nanofluid is based on ethylene glycol and contains nanoparticles of titanium dioxide ((Ti{O}_{2})), cobalt ferrite ((CoF{e}_{2}O)), and aluminum oxide ((text{A}{l}_{2}{O}_{3})). For the case of trihybrid nanoparticles, the Yamada–Ota and Xue nanofluid models have been modified. This model is helpful for optimizing heating and cooling systems in fields like energy systems, microelectronics, and aerospace engineering where exact control of thermal properties is essential. By adjusting the characteristics of nanofluids, it also enhances heat transfer rates, which is a critical component in the development of solar collectors and high-efficiency heat exchangers. By using the necessary similarity transformations, non-linear ODEs are obtained from the controlling PDEs. The shooting method (BVP4c) can be utilized to solve this system of highly nonlinear equations numerically. As the surface tension gradient parameter is increased, the velocity distribution, mass transfer, and heat transfer rates all increase but the performance of the thermal and solutal profiles is opposite.