Design and development of a microfluidic droplet generator with vision sensing for lab-on-a-chip devices

Hettiarachchi, Samith; Melroy, Gehan; Mudugamuwa, Amith; Sampath, W. H. P.; Premachandra, H. A. G. C.; Amarasinghe, Y. W. R.; Dau, Van Thanh

doi:10.1016/j.sna.2021.113047

Cited by 37 publications

(15 citation statements)

References 25 publications

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“…In our case, however, as also in our previous study featuring controlled encapsulation in a flow-focusing geometry [ 28 ], we observed stable droplet generation. The lack of unstable droplet formation in PMMA devices echoed some previous works available in the literature [ 48 , 49 , 50 ].…”

Section: Methodssupporting

confidence: 72%

Viscoelastic Particle Encapsulation Using a Hyaluronic Acid Solution in a T-Junction Microfluidic Device

Jeyasountharan

Giudice

2023

Micromachines

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The encapsulation of particles and cells in droplets is highly relevant in biomedical engineering as well as in material science. So far, however, the majority of the studies in this area have focused on the encapsulation of particles or cells suspended in Newtonian liquids. We here studied the particle encapsulation phenomenon in a T-junction microfluidic device, using a non-Newtonian viscoelastic hyaluronic acid solution in phosphate buffer saline as suspending liquid for the particles. We first studied the non-Newtonian droplet formation mechanism, finding that the data for the normalised droplet length scaled as the Newtonian ones. We then performed viscoelastic encapsulation experiments, where we exploited the fact that particles self-assembled in equally-spaced structures before approaching the encapsulation area, to then identify some experimental conditions for which the single encapsulation efficiency was larger than the stochastic limit predicted by the Poisson statistics.

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Section: Methodssupporting

confidence: 72%

Viscoelastic Particle Encapsulation Using a Hyaluronic Acid Solution in a T-Junction Microfluidic Device

Jeyasountharan

Giudice

2023

Micromachines

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“…Microfluidic devices rely on physics to achieve precise control of fluid flow and to manipulate flow properties, such as mixing, separation, 58,59 and droplet formation. 60 The flow rate, pressure, and geometry of the channels and devices affect the behaviour of fluids, and thus, the design and optimization of microfluidic devices require a thorough understanding of fluid dynamics.…”

Section: Fluid Dynamicsmentioning

confidence: 99%

Microfluidics: a concise review of the history, principles, design, applications, and future outlook

Hajam,

Khan

2024

Biomater. Sci.

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“…The maximum throughput of the droplet generation is about 5 Hz, which is similar to other imaging-based feedback droplet generation (0.1-10 Hz). 43,44 Dispersive phase microscopy for bio-molecular imaging…”

Section: On-demand Droplet Generation and Cell Encapsulationmentioning

confidence: 99%

Dispersive phase microscopy incorporated with droplet-based microfluidics for biofactory-on-a-chip

Luo

Huang

et al. 2023

Lab Chip

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Design and development of a microfluidic droplet generator with vision sensing for lab-on-a-chip devices

Cited by 37 publications

References 25 publications

Viscoelastic Particle Encapsulation Using a Hyaluronic Acid Solution in a T-Junction Microfluidic Device

Viscoelastic Particle Encapsulation Using a Hyaluronic Acid Solution in a T-Junction Microfluidic Device

Microfluidics: a concise review of the history, principles, design, applications, and future outlook

Dispersive phase microscopy incorporated with droplet-based microfluidics for biofactory-on-a-chip

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