Evidence map›Paper›PMID 28467848›Full record

ArticleAnalytical chemistry2017

Automated Microfluidic Droplet-Based Sample Chopper for Detection of Small Fluorescence Differences Using Lock-In Analysis.

Jean T Negou, L Adriana Avila, Xiangpeng Li, Tesfagebriel M Hagos, Christopher J Easley

Abstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Dynamic sampling fromLab on a chip · 2024
    Article
  2. Article
  3. Review
  4. Active Flow Control and Dynamic Analysis in Droplet Microfluidics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2021
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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.

Jean T NegouDepartment of Chemistry and Biochemistry, 179 Chemistry Building, Auburn University , Auburn, Alabama 36849, United States.
L Adriana AvilaDepartment of Chemistry and Biochemistry, 179 Chemistry Building, Auburn University , Auburn, Alabama 36849, United States.
Xiangpeng LiDepartment of Chemistry and Biochemistry, 179 Chemistry Building, Auburn University , Auburn, Alabama 36849, United States.
Tesfagebriel M HagosDepartment of Chemistry and Biochemistry, 179 Chemistry Building, Auburn University , Auburn, Alabama 36849, United States.
Christopher J EasleyDepartment of Chemistry and Biochemistry, 179 Chemistry Building, Auburn University , Auburn, Alabama 36849, United States.ORCID 0000-0002-2403-4147

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 DK093810
6 · The paper itself

Abstract

Fluorescence is widely used for small-volume analysis and is a primary tool for on-chip detection in microfluidic devices, yet additional expertise, more elaborate optics, and phase-locked detectors are needed for ultrasensitive measurements. Recently, we designed a microfluidic analog to an optical beam chopper (μChopper) that alternated formation of picoliter volume sample and reference droplets. Without complex optics, the device negated large signal drifts (1/f noise), allowing absorbance detection in a mere 27 μm optical path. Here, we extend the μChopper concept to fluorescence detection with standard wide-field microscope optics. Precision of droplet control in the μChopper was improved by automation with pneumatic valves, allowing fluorescence measurements to be strictly phase locked at 0.04 Hz bandwidth to droplets generated at 3.50 Hz. A detection limit of 12 pM fluorescein was achieved when sampling 20 droplets, and as few as 310 zeptomoles (3.1 × 10

Indexed as

AutomationFluorescenceMicrofluidic Analytical TechniquesOptical Imaging3T3-L1 CellsAdipocytesAnimalsFatty AcidsMiceParticle SizeSurface PropertiesFatty Acids

Identifiers

PMID28467848
PMCPMC5789453

What OpenQuestion holds

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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.