Evidence map›Paper›PMID 37605899›Full record

ArticleThe Analyst2023

Droplet-based μChopper device with a 3D-printed pneumatic valving layer and a simple photometer for absorbance based fructosamine quantification in human serum.

Yvette Kayirangwa, Md Mohibullah, Christopher J Easley

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Dynamic sampling fromLab on a chip · 2024
    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

3 authors at 1 institution in 1 country.

Yvette KayirangwaDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA. chris.easley@auburn.edu.ORCID http://orcid.org/0000-0002-8223-1595
Md MohibullahDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA. chris.easley@auburn.edu.
Christopher J EasleyDepartment of Chemistry and Biochemistry, Auburn University, Auburn, AL, USA. chris.easley@auburn.edu.ORCID http://orcid.org/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 DK093810
6 · The paper itself

Abstract

The development of microfluidic systems for biological assays presents challenges, particularly in adapting traditional optical absorbance assays to smaller volumes or to microfluidic formats. This often requires assay modification or translation to a fluorescence version, which can be impractical. To address this issue, our group has developed the μChopper device, which uses microfluidic droplet formation as a surrogate for an optical beam chopper, allowing for lock-in analysis and improved limits of detection with both absorbance and fluorescence optics without modifying the optical path length. Here, we have adapted the μChopper to low-cost optics using a light-emitting diode (LED) source and photodiode detector, and we have fabricated the pnuematically valved devices entirely by 3D printing instead of traditional photolithography. Using a hybrid device structure, fluidic channels were made in polydimethylsiloxane (PDMS) by moulding onto a 3D-printed master then bonding to a prefabricated thin layer, and the pneumatic layer was directly made of 3D-printed resin. This hybrid structure allowed an optical slit to be fabricated directly under fluidic channels, with the LED interfaced closely above the channel. Vacuum-operated, normally closed valves provided precise temporal control of droplet formation from 0.6 to 2.0 Hz. The system was validated against the standard plate reader format using a colorimetric fructosamine assay and by quantifying fructosamine in human serum from normal and diabetic patients, where strong correlation was shown. Showing a standard benefit of microfluidics in analysis, the device required 6.4-fold less serum volume for each assay. This μChopper device and lower cost optical system should be applicable to various absorbance based assays in low volumes, and the reliance on inexpensive 3D printers makes it more accessible to users without cleanroom facilities.

Indexed as

Microfluidic Analytical TechniquesFructosamineHumansMicrofluidicsPrinting, Three-DimensionalSoftwareFructosamine

Identifiers

PMID37605899
PMCPMC10530610
OpenAlexW4385733980

What OpenQuestion holds

Textmetadata
LicenceTDM
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.