Evidence map›Paper›PMID 32630555›Full record

ArticleMicromachines2020

Programmable µChopper Device with On-Chip Droplet Mergers for Continuous Assay Calibration.

Nan Shi, Christopher J Easley

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Dynamic sampling fromLab on a chip · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Active Flow Control and Dynamic Analysis in Droplet Microfluidics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2021
    Review
  8. Review
  9. 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

2 authors at 1 institution in 1 country.

Nan ShiDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL 36849, USA.
Christopher J EasleyDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL 36849, USA.ORCID 0000-0002-2403-4147
Auburn University · US

Funding

Unmasking mechanisms of lipolytic dynamics in adipose tissue using high-resolution microfluidic samplingR01DK093810 · NIDDK · AUBURN UNIVERSITY AT AUBURN · PI EASLEY, CHRISTOPHER J · 2012 to 2023
$3.8M
NIDDK NIH HHS R01 DK093810NIH HHS R01 DK093810
6 · The paper itself

Abstract

While droplet-based microfluidics is a powerful technique with transformative applications, most devices are passively operated and thus have limited real-time control over droplet contents. In this report, an automated droplet-based microfluidic device with pneumatic pumps and salt water electrodes was developed to generate and coalesce up to six aqueous-in-oil droplets (2.77 nL each). Custom control software combined six droplets drawn from any of four inlet reservoirs. Using our μChopper method for lock-in fluorescence detection, we first accomplished continuous linear calibration and quantified an unknown sample. Analyte-independent signal drifts and even an abrupt decrease in excitation light intensity were corrected in real-time. The system was then validated with homogeneous insulin immunoassays that showed a nonlinear response. On-chip droplet merging with antibody-oligonucleotide (Ab-oligo) probes, insulin standards, and buffer permitted the real-time calibration and correction of large signal drifts. Full calibrations (LOD

Indexed as

dropletshomogeneous immunoassaylock-in detectionon-chip mergerspneumatic valvesprogrammable droplet formationreal-time calibration

Identifiers

PMID32630555
PMCPMC7344876
OpenAlexW3037135078

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.