Evidence map›Paper›PMID 34071424›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Enhanced Sensing Behavior of Three-Dimensional Microfluidic Paper-Based Analytical Devices (3D-μPADs) with Evaporation-Free Enclosed Channels for Point-of-Care Testing.

Jaehyung Jeon, Chanyong Park, Dinesh Veeran Ponnuvelu, Sungsu Park

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. 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. Review
  2. Article
  3. 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

4 authors.

Jaehyung JeonSchool of Mechanical Engineering, Sungkyunkwan University, Seoburo 2066, Jangan-gu, Suwon 16419, Korea.
Chanyong ParkSchool of Mechanical Engineering, Sungkyunkwan University, Seoburo 2066, Jangan-gu, Suwon 16419, Korea.ORCID 0000-0001-5880-9695
Dinesh Veeran PonnuveluSchool of Mechanical Engineering, Sungkyunkwan University, Seoburo 2066, Jangan-gu, Suwon 16419, Korea.
Sungsu ParkSchool of Mechanical Engineering, Sungkyunkwan University, Seoburo 2066, Jangan-gu, Suwon 16419, Korea.ORCID 0000-0003-3062-1302

Funding

Ministry of Science and ICT, South Korea H-GUARD-2018M3A6B2057299Ministry of Trade, Industry and Energy 20008413
6 · The paper itself

Abstract

Despite the potential in fabrication of microfluidic paper-based analytical devices (μPADs) for point-of-care testing (POCT) kits, the development of simple, accurate, and rapid devices with higher sensitivity remains challenging. Here, we report a novel method for 3D-μPAD fabrication with enclosed channels using vat photopolymerization to avoid fluid evaporation. In detail, height of the enclosed channels was adjusted from 0.3 to 0.17 mm by varying the UV exposure time from 1 to 4 s for the top barrier, whereas the exposure time for the bottom and side barriers was fixed. As a result, sample flow in the enclosed channels of 3D-μPADs showed lesser wicking speed with very scant evaporation compared to that in the hemi channels in the 3D-μPADs. The stoppage of evaporation in the enclosed channels significantly improved the gray intensity and uniformity in the detection zone of the 3D-μPADs, resulting in as low as 0.3 mM glucose detection. Thus 3D-μPADs with enclosed channels showed enhanced sensitivity compared to the 3D-μPADs with hemi channels when dealing with a small volume sample. Our work provides a new insight into 3D-μPAD design with enclosed channels, which redefines the methodology in 3D printing.

Indexed as

3D printingenclosed channelevaporationpaper-based analytical devicespoint-of-care testingsmall-volume sample

Identifiers

PMID34071424
PMCPMC8229230

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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.