Design and Evaluation of Three-Dimensional Zigzag Chaotic Micromixers for Biochemical Applications

Hu, Xingjian; Yang, Fan; Zhao, Haiyan; Guo, Mingzhao; Wang, Yujun

doi:10.1021/acs.iecr.1c02435

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…Microfluidics involves handling of fluids at the submeter length scales − and is important in various applications such as unit operations (mixing, heat and mass transfer), biochemical analysis, drug delivery, and chemical synthesis − that encompass various fields, viz. chemistry, medicine, and environmental sciences. , Micromixers provide the tool to precisely conduct the mixing between fluids.…”

Section: Introductionmentioning

confidence: 99%

Mixing Enhancement of Newtonian Liquids in a Curvature Induced Split and Recombine Micromixer

Ghosh

Atta

2023

Ind. Eng. Chem. Res.

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The influence of a curvature induced flow path in the form of a split and recombine microchannel is studied and compared with the output of a straight type micromixer. The mixing efficiency of ethanol into water is analyzed for diffusion dominated flows. Apart from parametric variations, the Dean flow analysis at different locations of the channels showed higher capability of the curvature induced geometries. The aspect of layer mixing is also examined by the strength of the expansion or contraction along the flow path, which signifies the effect of curvature upon the extent of mixing. Mixing efficiency as high as 94% has been achieved for the elliptical type of micromixer. Additionally, the influence of curvature toward the gradual increase and enhancement of mixing has been demonstrated with the gradual increase of the area of contact available in the split and recombine sections.

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Section: Introductionmentioning

confidence: 99%

Mixing Enhancement of Newtonian Liquids in a Curvature Induced Split and Recombine Micromixer

Ghosh

Atta

2023

Ind. Eng. Chem. Res.

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“…Efficient mixing is central to many applications, including process intensification, enhanced oil recovery, chemical synthesis, and micro/nanoparticle production. − Mixing in microfluidics − is also integral to lab-on-a-chip devices such as blood and saliva analysis and blood plasma mixing . The microconfined mixing process can be particularly challenging because the flow rates in the microchannels are usually very low and the fluids in the microchannels flow in a laminar regime.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations on Geometry Modulated Solute Mixing in Viscoelastic Media

Mahapatra

Bandopadhyay

2023

Ind. Eng. Chem. Res.

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In this study, geometrically modified microchannels fabricated using a stereolithography technique are employed to analyze micromixing of polymeric solutions. Experimental and numerical analyses were conducted to evaluate the qualitative and quantitative validity of the Newtonian fluid flow inside the geometrically modified channels. An in-house image processing code was used to analyze the dye concentration distributions resulting from complex fluid transport and mixing within the modified channels. Our analysis illustrates the existence of inertioelastic instability in the geometrically modified microchannels for the transport of viscoelastic fluids. In addition, the presence of inertio-elastic instability significantly enhances the mixing efficiency as a result of the interaction between viscoelasticity and modified channel geometry. This analysis provides important physical insights into the cost-effective design and operation of microfluidic devices that handle viscoelastic fluids, which could be useful in designing and analyzing a passive micromixer that transports bio/polymeric fluids.

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Machine learning and metaheuristics in microfluidic transport characterization and optimization:CFDand experimental study integrated with predictive modelling

Kouhkord,

Amirmahani,

Hassani

et al. 2024

Can J Chem Eng

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This study presents a comprehensive numerical and experimental analysis on microfluidic cell lysis through computational fluid dynamics (CFD), data‐driven modelling, and multi‐objective optimization. The proposed intelligent framework integrates artificial intelligence and CFD for data generation and extraction, alongside machine learning analysis and experimental studies for transport phenomena characterization in the cell lysis process. The framework explores compound effects of various inflow Reynolds numbers and geometrical parameters, including obstacle configurations and microchannel thickness. It shows substantial effects on flow patterns and mixing in varied microfluidic designs. A surrogate model, developed via central composite design, exhibits high accuracy in assessing system functionality (). The height of the implemented baffles from its lower value to the upper bound resulted in more than 42% and 14% increase in the mixing index at low and high Reynolds numbers, respectively, with minimal impact on pressure drop. The framework introduces data‐driven modelling coupled with multi‐objective optimization by desirability function (DF), non‐dominated sorting genetic algorithm (NSGA‐II), and differential evolution (DE). In the optimization of microfluidic processes, machine learning algorithms outperform desirability‐based methods, and the DE algorithm surpasses the NSGA‐II. An optimum micromixing reducing the mixing length by over 50% and mixing index above 97% achieved, fabricated, and experimental investigations conducted to validate numerical process. Through the precise control of microfluidic variables and the exploitation of microtransfer phenomena, it is possible to enhance the efficiency and selectivity of cell lysis. This not only improves the accuracy of diagnostic information but also opens up new avenues for personalized medicine and therapeutic development.

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Design and Evaluation of Three-Dimensional Zigzag Chaotic Micromixers for Biochemical Applications

Cited by 5 publications

References 31 publications

Mixing Enhancement of Newtonian Liquids in a Curvature Induced Split and Recombine Micromixer

Mixing Enhancement of Newtonian Liquids in a Curvature Induced Split and Recombine Micromixer

Experimental Investigations on Geometry Modulated Solute Mixing in Viscoelastic Media

Machine learning and metaheuristics in microfluidic transport characterization and optimization:CFDand experimental study integrated with predictive modelling

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