Hydrodynamic focusing and interdistance control of particle-laden flow for microflow cytometry

Shivhare, P. K.; Bhadra, A.; Sajeesh, P.; Prabhakar, Aneesh; Sen, A. K.

doi:10.1007/s10404-016-1752-z

Cited by 17 publications

(10 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the particle Reynolds number is really in the order of less than unity, the inertial lift force of suspended particle from channel wall is negligible [29, 30]. Convection happens much faster than diffusion owing to the high Péclet number so that mixing of feed and side streams is quite slow [31]. For the interface boundary W int between two adjacent immiscible streams, Q F j and Q S j in the forefront of the branch point j can be obtained by integrating velocity profile of rectangular‐slit geometry,

Q_{j}^{F} = \int_{0}^{H} \int_{0}^{W_{normalint}} v_{z}^{F} false(x false) d x d y,

Q_{j}^{S} = \int_{0}^{H} \int_{W_{normalint}}^{W} v_{z}^{S} false(x false) d x d y .

Then, we define the inlet flow ratio χ j as the flow ratio of Q F j to Q S j ,

χ_{j} \equiv Q_{j}^{F} / Q_{j}^{S} .

…”

Section: Methodsmentioning

confidence: 99%

Two‐phase flow in microfluidic‐chip design of hydrodynamic filtration for cell particle sorting

2020

View full text Add to dashboard Cite

As one of the flow-based passive sorting, the hydrodynamic filtration using a microfluidicchip has shown to effectively separate into different sizes of subpopulations from cell or particle suspensions. Its model framework involving two-phase Newtonian or generalized Newtonian fluid (GNF) was developed, by performing the complete analysis of laminar flow and complicated networks of main and multiple branch channels. To predict rigorously what occurs in flow fields, we estimated pressure drop, velocity profile, and the ratio of the flow fraction at each branch point, in which the analytical model was validated with numerical flow simulations. As a model fluid of the GNF, polysaccharide solution based on Carreau type was examined. The objective parameters aiming practical channel design include the number of the branches and the length of narrow section of each branch for arbitrary conditions. The flow fraction and the number of branches are distinctly affected by the viscosity ratio between feed and side flows. As the side flow becomes more viscous, the flow fraction increases but the number of branches decreases, which enables a compact chip designed with fewer branches being operated under the same throughput. Hence, our rational design analysis indicates the significance of constitutive properties of each stream.

show abstract

Q_{j}^{F} = \int_{0}^{H} \int_{0}^{W_{normalint}} v_{z}^{F} false(x false) d x d y,

Q_{j}^{S} = \int_{0}^{H} \int_{W_{normalint}}^{W} v_{z}^{S} false(x false) d x d y .

Then, we define the inlet flow ratio χ j as the flow ratio of Q F j to Q S j ,

χ_{j} \equiv Q_{j}^{F} / Q_{j}^{S} .

…”

Section: Methodsmentioning

confidence: 99%

Two‐phase flow in microfluidic‐chip design of hydrodynamic filtration for cell particle sorting

2020

View full text Add to dashboard Cite

show abstract

“…6b). 73,77,78 Sheath flow here is a non-sample fluid, in most instances a buffer solution, the purpose of which is to modify and geometrically confine the flow field without using more of the often-precious sample. In FACS, 3D confinement is often achieved by concentrically injecting the fluid to be focused from a round nozzle into the sheath flow, which is conceptually simpler, but not easily compatible with planar microfabrication technologies.…”

Section: Stokes Flow-based Confinementsmentioning

confidence: 99%

“…6a and b, theoretical models are also available to predict the inter-particle spacing for a sample being focused. 73 Non-Newtonian fluids do not follow the simplified Navier-Stokes equations presented above. For a discussion on non-Newtonian effects, see section 2.3.…”

Section: Stokes Flow-based Confinementsmentioning

confidence: 99%

Microscale hydrodynamic confinements: shaping liquids across length scales as a toolbox in life sciences

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This gives exceptionally improved estimates of cell populations and avoids adhesion with channel walls. The empirical model, which involves more complex flow physics than the 2D counterpart, has been formulated [80,81]. The 3D flow focusing is an area of active research and has been successfully realized by many research groups [82][83][84][85][86][87][88].…”

Section: Hydrodynamic Flow Focusingmentioning

confidence: 99%

Disease diagnostics using hydrodynamic flow focusing in microfluidic devices: Beyond flow cytometry

Rajawat

Tripathi

2020

Biomed. Eng. Lett.

View full text Add to dashboard Cite

The multi-disciplinary field of microfluidics has the potential to provide solutions to a diverse set of problems. It offers the advantages of high-throughput, continuous, rapid and expeditious analysis requiring minute quantities of sample. However, even as this field has yielded many mass-manufacturable and cost-efficient point-of-care devices, its direct and practical applications into the field of disease diagnostics still remain limited and largely overlooked by the industry. This review focuses on the phenomenon of hydrodynamic focusing and its potential to materialize solutions for appropriate diagnosis and prognosis. The study aims to look beyond its intended cytometric applications and focus on unambiguous disease detection, monitoring, drug delivery, studies conducted on DNA and highlight the instances in the scientific literature that have proposed such approach.

show abstract

Hydrodynamic focusing and interdistance control of particle-laden flow for microflow cytometry

Cited by 17 publications

References 29 publications

Two‐phase flow in microfluidic‐chip design of hydrodynamic filtration for cell particle sorting

Two‐phase flow in microfluidic‐chip design of hydrodynamic filtration for cell particle sorting

Microscale hydrodynamic confinements: shaping liquids across length scales as a toolbox in life sciences

Disease diagnostics using hydrodynamic flow focusing in microfluidic devices: Beyond flow cytometry

Contact Info

Product

Resources

About