A microfluidic chip integrated with droplet generation, pairing, trapping, merging, mixing and releasing

Chen, Xiaoming; Ren, Carolyn L.

doi:10.1039/c7ra02336g

Cited by 63 publications

(71 citation statements)

References 56 publications

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“…Besides trapping wells, switches are essential in many applications in order to control the path of droplets. In [5], the switch shown in Figure 1b has been recently proposed, which is capable to (a) Realization of passive trapping wells [7] (b) Design of a multi-drop switch [5] Fig. 1.…”

Section: Unsupported Phenomenamentioning

confidence: 99%

“…More precisely, we show that using the proposed framework allows to reduce the design time and costs e.g. of the drug screening device proposed in [7] from one person month and USD 1200, respectively, to just a fraction of that. Finally, we compare the proposed simulation framework to related work and especially to simulations on other abstraction levels (e.g.…”

Section: Introductionmentioning

confidence: 98%

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Advanced Simulation of Droplet Microfluidics

Grimmer

Hamidović

Haselmayr

et al. 2019

J. Emerg. Technol. Comput. Syst.

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The complexity of droplet microfluidics grows with the implementation of parallel processes and multiple functionalities on a single device. This poses a serious challenge to the engineer designing the corresponding microfluidic networks. In today's design processes, the engineer relies on calculations, assumptions, simplifications, as well as his/her experiences and intuitions. In order to validate the obtained specification of the microfluidic network, usually a prototype is fabricated and physical experiments are conducted thus far. In case the design does not implement the desired functionality, this prototyping iteration is repeated -obviously resulting in an expensive and time-consuming design process. In order to avoid unnecessary debugging loops involving fabrication and testing, simulation methods could help to initially validate the specification of the microfluidic network before any prototype is fabricated. However, state-of-the-art simulation tools come with severe limitations, which prevent their utilization for practically-relevant applications. More precisely, they are often not dedicated to droplet microfluidics, cannot handle the required physical phenomena, are not publicly available, and can hardly be extended. In this work, we present an advanced simulation approach for droplet microfluidics which addresses these shortcomings and, eventually, allows to simulate practically-relevant applications. To this end, we propose a simulation framework which directly works on the specification of the design, supports essential physical phenomena, is publicly available, and easy to extend. Evaluations and case studies demonstrate the benefits of the proposed simulator: While current state-of-the-art tools were not applicable for practically-relevant microfluidic networks, the proposed solution allows to reduce the design time and costs e.g. of a drug screening device from one person month and USD 1200, respectively, to just a fraction of that.

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Section: Unsupported Phenomenamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Advanced Simulation of Droplet Microfluidics

Grimmer

Hamidović

Haselmayr

et al. 2019

J. Emerg. Technol. Comput. Syst.

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show abstract

“…[15] Flow chemistry,o nt he other hand, has seen ar apid increase in its use to prepare aw ide variety of moleculesb othi na cademia and industry. [19][20][21][22][23][24][25][26][27][28][29][30] The increased interest in flow chemistry stems from the ability to use it to efficiently control avarietyoffactorsimportant to the success of achemical reaction, for example, reagent quantities,s urfacea rea of reaction, and temperature. [19][20][21][22][23][24][25][26][27][28][29][30] The increased interest in flow chemistry stems from the ability to use it to efficiently control avarietyoffactorsimportant to the success of achemical reaction, for example, reagent quantities,s urfacea rea of reaction, and temperature.…”

Section: Introductionmentioning

confidence: 99%

“…[7][8][9][10][11][12][13][14] The advancement of flow chemistry in the literature has been greatly aided by the development of smaller-sized reactorst hat allow for their use in laboratory settings [16][17][18] and to this end the use of an umber of microfluidic platformsw ith synthetic capabilities have been discussed. [19][20][21][22][23][24][25][26][27][28][29][30] The increased interest in flow chemistry stems from the ability to use it to efficiently control avarietyoffactorsimportant to the success of achemical reaction, for example, reagent quantities,s urfacea rea of reaction, and temperature. [18] Of interest is that the flow device based on angled vortex driven dynamic thin films,c alled the vortex fluidicd evice (VFD;F igure 1A), [25] has not been rigorously investigated in regardst oi ts ability to be used as ap rocessing platform for MCRs, even though its design characteristics, [25] which have been reviewed recently, [31] are favored as such.…”

Section: Introductionmentioning

confidence: 99%

Angled Vortex Fluidic Mediated Multicomponent Photocatalytic and Transition Metal‐Catalyzed Reactions

Raston

Stubbs

2018

Chemistry A European J

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The dynamic thin film formed in an angled rapidly rotating tube in a vortex fluidic device (VFD) is effective in facilitating multicomponent reactions (MCRs) as photocatalytic or metal-mediated processes. Here, we demonstrate the utility of the VFD by using two known MCRs, an Ugi-type three component reaction and an A -coupling reaction. The Ugi-type reaction can be done in either confined or continuous-flow modes of operation of the microfluidic platform whereas the A -coupling reaction was optimized for the confined mode of operation. The examples tested gave excellent yields with short reaction times.

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“…It shows apparent characteristics of low reagent consumption and short reaction time in some applications. 3,18,19 The MTN consists of an array of repetitive trapping units in which each unit has a bypass and a trapping channel containing a hydrodynamic trap. The droplets are coupled with each other and exhibit complex nonlinear dynamics during the trapping process.…”

Section: Introductionmentioning

confidence: 99%

Trapping a moving droplet train by bubble guidance in microfluidic networks

et al. 2018

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Trapping a train of moving droplets into preset positions within a microfluidic device facilitates the longterm observation of biochemical reactions inside the droplets. In this paper, a new bubble-guided trapping method, which can remarkably improve the limited narrow two-phase flow rate range of uniform trapping, was proposed by taking advantage of the unique physical property that bubbles do not coalescence with two-phase fluids and the hydrodynamic characteristic of large flow resistance of bubbles. The flow behaviors of bubble-free and bubble-guided droplet trains were compared and analyzed under the same two-phase flow rates. The experimental results show that the droplets trapped by bubble-free guided trapping exhibit the four trapping modes of sequentially uniform trapping, nonuniform trapping induced by break-up and collision, and failed trapping due to squeezing through, and the droplets exhibit the desired uniform trapping in a relatively small two-phase flow rate range.Compared with bubble-free guided droplets, bubble-guided droplets also show four trapping modes.However, the two-phase flow rate range in which uniform trapping occurs is increased significantly and the uniformity of the trapped droplet array is improved. This investigation is beneficial to enhance the applicability of microfluidic chips for storing droplets in a passive way.

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A microfluidic chip integrated with droplet generation, pairing, trapping, merging, mixing and releasing

Abstract: Developing a microfluidic chip with multiple functions is highly demanded for practical applications, such as chemical analysis, diagnostics, particles synthesis and drug screening.

Cited by 63 publications

References 56 publications

Advanced Simulation of Droplet Microfluidics

Advanced Simulation of Droplet Microfluidics

Angled Vortex Fluidic Mediated Multicomponent Photocatalytic and Transition Metal‐Catalyzed Reactions

Trapping a moving droplet train by bubble guidance in microfluidic networks

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