Prediction of sizes and frequencies of nanoliter-sized droplets in cylindrical T-junction microfluidics

Zhang, Shuheng; Guivier-Curien, Carine; Veesler, Stéphane; Candoni, Nadine

doi:10.1016/j.ces.2015.07.046

Cited by 30 publications

(35 citation statements)

References 28 publications

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“…In a previous study in our group, Candoni et al investigated the hydrodynamic effects of operational parameters (i.e., vD/vC, vTOT et Ca) on droplet generation regimes and characteristics for PEEK & Teflon circular-channel systems with experiments and simulations, using Tjunctions [27]. Empirical relations were determined to define the operating range that ensures homogeneous droplets of ethanol in FC70 oil.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 3 shows the generation of a droplet array with a concentration gradient. According Candoni et al [27], droplet size and frequency are controlled by both total flow-rate and flow-rate ratio. Hence, in order to keep size and volume constant among all droplets in the array, we keep the flow-rate of the oil and the sum of the flow-rates of all the dispersed phases constant.…”

Section: Droplet Factory Peek and Teflon Microfluidic Junctionmentioning

confidence: 99%

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Microfluidic platform for optimization of crystallization conditions

Zhang

Gerard

Ikni

et al. 2017

Journal of Crystal Growth

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International audienceWe describe a universal, high-throughput droplet-based microfluidic platform for crystallization. It is suitable for a multitude of applications, due to its flexibility, ease of use, compatibility with all solvents and low cost. The platform offers four modular functions: droplet formation, on-line characterization, incubation and observation. We use it to generate droplet arrays with a concentration gradient in continuous long tubing, without using surfactant. We control droplet properties (size, frequency and spacing) in long tubing by using hydrodynamic empirical relations. We measure droplet chemical composition using both an off-line and a real-time on-line method. Applying this platform to a complicated chemical environment, membrane proteins, we successfully handle crystallization, suggesting that the platform is likely to perform well in other circumstances. We validate the platform for fine-gradient screening and optimization of crystallization conditions. Additional on-line detection methods may well be integrated into this platform in the future, for instance, an on-line diffraction technique. We believe this method could find applications in fields such as fluid interaction engineering, live cell study and enzyme kinetics

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Section: Resultsmentioning

confidence: 99%

Section: Droplet Factory Peek and Teflon Microfluidic Junctionmentioning

confidence: 99%

Microfluidic platform for optimization of crystallization conditions

Zhang

Gerard

Ikni

et al. 2017

Journal of Crystal Growth

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“…Crystals of various organic molecules obtained in aqueous and organic solvents are presented in figs 2d-2h [6]. The microfluidic set-up [7] in Fig. 3 allows us to determine the properties of nucleation described above theoretically: metastable zone width, nucleation rate J, effective interfacial energy  ef of the critical nucleus and polymorphism.…”

Section: Nucleation In Nanoliter Dropletsmentioning

confidence: 99%

“…Observation is enhanced by reducing the volume of crystallization [3], and hence the number of crystals. The techniques presented here are droplet-based microfluidics [4][5][6][7][8][9] and micro-injection in oil [10][11][12][13]. The second idea consists in inducing nucleation where and when we choose controlling nucleation, which is no longer spontaneous.…”

Section: Introductionmentioning

confidence: 99%

Addressing the Stochasticity of Nucleation: Practical Approaches

Candoni

Hammadi

Grossier

et al. 2015

Advances in Organic Crystal Chemistry

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“…Many researches have been done on the physical properties of slug flow, e.g. surface tension, viscosity, flow rate, micro-channel geometry, droplet size, jetting frequency, and so on [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Preparation of micro water droplets in micro-channel by digital jetting

Zhang

Xu²,

Liu³

et al. 2016

Proceedings of the 2015 4th International Conference on Sustainable Energy and Environmental Engineering

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Abstract. For the precise manipulation in lab-on-a-chip, the slug flow of two-phase or multi-phase forming in the micro-channel has been highly concerned to develop the new digital jetting technology. This paper focused on the water-oil two-phase slug flow to realize the digital jetting by micro water droplets. The water and oil streams entered the nozzle simultaneously to form water-oil two-phase slug flow steadily. The water droplets presented the monodispersion property in micro-channel before jetting out of nozzle, however, they took the polymerization property in container after jetting out of nozzle under some conditions.

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Prediction of sizes and frequencies of nanoliter-sized droplets in cylindrical T-junction microfluidics

Cited by 30 publications

References 28 publications

Microfluidic platform for optimization of crystallization conditions

Microfluidic platform for optimization of crystallization conditions

Addressing the Stochasticity of Nucleation: Practical Approaches

Preparation of micro water droplets in micro-channel by digital jetting

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