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Microfluidics at Fiber Tip for Nanoliter Delivery and Sampling

Authors: Antoine Barbot; Dominic Wales; Eric Yeatman; Guang‐Zhong Yang;

Microfluidics at Fiber Tip for Nanoliter Delivery and Sampling

Abstract

AbstractDelivery and sampling nanoliter volumes of liquid can benefit new invasive surgical procedures. However, the dead volume and difficulty in generating constant pressure flow limits the use of small tubes such as capillaries. This work demonstrates sub‐millimeter microfluidic chips assembled directly on the tip of a bundle of two hydrophobic coated 100 µm capillaries to deliver nanoliter droplets in liquid environments. Droplets are created in a specially designed nanopipette and propelled by gas through the capillary to the microfluidic chip where a passive valve mechanism separates liquid from gas, allowing their delivery. By adjusting the driving pressure and microfluidic geometry, both partial and full delivery of 10 nanoliter droplets with 0.4 nanoliter maximum error, as well as sampling from the environment are demonstrated. This system will enable drug delivery and sampling with minimally invasive probes, facilitating continuous liquid biopsy for disease monitoring and in vivo drug screening.

Countries
France, United Kingdom
Keywords

Technology, two‐photon polymerization, two‐, Science, Materials Science, Microfluidics, microfluidics, 530, Specimen Handling, Humans, Nanotechnology, Nanoscience & Nanotechnology, [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics, Research Articles, Science & Technology, Multidisciplinary, liquid biopsy, Q, Equipment Design, Microfluidic Analytical Techniques, 540, 620, Chemistry, photon polymerization, Physical Sciences, Science & Technology - Other Topics, [SDV.IB]Life Sciences [q-bio]/Bioengineering

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    23
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Average
Top 10%
Green
gold