Evidence map›Paper›PMID 37000567›Full record

ArticleLab on a chip2023

Towards an active droplet-based microfluidic platform for programmable fluid handling.

Xiaobao Cao, Tomas Buryska, Tianjin Yang, Jing Wang, Peter Fischer, Aaron Streets, Stavros Stavrakis, Andrew deMello

Abstract read
In one paragraph

Article in Lab on a chip, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Droplet-Based Microfluidics: Applications in Pharmaceuticals.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiaobao CaoGuangzhou Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong Province, China.
Tomas BuryskaInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland. stavros.stavrakis@chem.ethz.ch.ORCID 0000-0003-3740-1679
Tianjin YangInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland. stavros.stavrakis@chem.ethz.ch.
Jing WangInstitute of Environmental Engineering, ETH Zürich, 8093, Zürich, Switzerland.ORCID 0000-0003-2078-137X
Peter FischerIFNH Food Process Engineering Group, ETH Zürich, 8092, Zürich, Switzerland.ORCID 0000-0002-2992-5037
Aaron StreetsDepartment of Bioengineering, University of California, Berkeley, California, USA.ORCID 0000-0002-3909-8389
Stavros StavrakisInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland. stavros.stavrakis@chem.ethz.ch.ORCID 0000-0002-0888-5953
Andrew deMelloInstitute for Chemical and Bioengineering, ETH Zürich, 8093 Zürich, Switzerland. stavros.stavrakis@chem.ethz.ch.ORCID 0000-0003-1943-1356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droplet-based microfluidic systems have emerged as powerful alternatives to conventional high throughput screening platforms, due to their operational flexibility, high-throughput nature and ability to efficiently process small fluid volumes. However, the challenges associated with performing bespoke operations on user-defined droplets often limit their utility in screening applications that involve complex workflows. To this end, the marriage of droplet- and valve-based microfluidic technologies offers the prospect of balancing the controllability of droplet manipulations and analytical throughput. In this spirit, we present a microfluidic platform that combines the capabilities of integrated microvalve technology with droplet-based sample compartmentalization to realize a highly adaptable programmable fluid handling functionality. The microfluidic device consists of a programmable formulator linked to an automated droplet generation device and storage array. The formulator leverages multiple inputs coupled to a mixing ring to produce combinatorial solution mixtures, with a peristaltic pump enabling titration of reagents into the ring with picoliter resolution. The platform allows for the execution of user-defined reaction protocols within an array of storage chambers by consecutively merging programmable sequences of pL-volume droplets containing specified reagents. The precision in formulating solutions with small differences in concentration is perfectly suited for the accurate estimation of kinetic parameters. The utility of our platform is showcased through the performance of enzymatic kinetic measurements of beta-galactosidase and horseradish peroxidase with fluorogenic substrates. The presented platform provides for a range of automated manipulations and paves the way for a more diverse range of droplet-based biological experiments.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsLab-On-A-Chip Devices

Identifiers

PMID37000567
PMCPMC10091362

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.