Evidence map›Paper›PMID 35922529›Full record

ArticleScientific reports2022

Facile and scalable tubing-free sample loading for droplet microfluidics.

Fangchi Shao, Kuangwen Hsieh, Pengfei Zhang, Aniruddha M Kaushik, Tza-Huei Wang

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

5 authors.

Fangchi Shao *Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Kuangwen Hsieh *Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Pengfei ZhangDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Aniruddha M KaushikDepartment of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, 21218, USA. thwang@jhu.edu.

Funding

A Droplet-based single cell platform for pathogen identification and ASTR01AI117032 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LIAO, JOSEPH C, WANG, TZA-HUEI JEFF · 2015 to 2019
$5.7M
A "Culture" Shift: Integrated Bacterial Screening and Antibacterial Susceptibility Test on Microfluidic Digital Array for Bloodstream InfectionsR01AI137272 · NIAID · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF, YANG, SAMUEL · 2018 to 2022
$3.6M
Facile screening for esophageal cancer in LMICsUH3CA211457 · NCI · JOHNS HOPKINS UNIVERSITY · PI MELTZER, STEPHEN J, WANG, TZA-HUEI JEFF · 2019 to 2021
$2.8M
NCI NIH HHS UH3 CA211457NCI NIH HHS UH3CA211457NIAID NIH HHS R01 AI117032NIAID NIH HHS R01AI117032NIAID NIH HHS R01 AI137272
6 · The paper itself

Abstract

Droplet microfluidics has in recent years found a wide range of analytical and bioanalytical applications. In droplet microfluidics, the samples that are discretized into droplets within the devices are predominantly loaded through tubings, but such tubing-based sample loading has drawbacks such as limited scalability for processing many samples, difficulty for automation, and sample wastage. While advances in autosamplers have alleviated some of these drawbacks, sample loading that can instead obviate tubings offers a potentially promising alternative but has been underexplored. To fill the gap, we introduce herein a droplet device that features a new Tubing Eliminated Sample Loading Interface (TESLI). TESLI integrates a network of programmable pneumatic microvalves that regulate vacuum and pressure sources so that successive sub-microliter samples can be directly spotted onto the open-to-atmosphere TESLI inlet, vacuumed into the device, and pressurized into nanoliter droplets within the device with minimal wastage. The same vacuum and pressure regulation also endows TESLI with cleaning and sample switching capabilities, thus enabling scalable processing of many samples in succession. Moreover, we implement a pair of TESLIs in our device to parallelize and alternate their operation as means to minimizing idle time. For demonstration, we use our device to successively process 44 samples into droplets-a number that can further scale. Our results demonstrate the feasibility of tubing-free sample loading and a promising approach for advancing droplet microfluidics.

Indexed as

Microfluidic Analytical TechniquesMicrofluidicsAutomation

Identifiers

PMID35922529
PMCPMC9349288

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.