Evidence map›Paper›PMID 38544060›Full record

ArticleSensors (Basel, Switzerland)2024

Demonstration of a Transparent and Adhesive Sealing Top for Microfluidic Lab-Chip Applications.

Anurag Agarwal, Asif Salahuddin, Mohammed Jalal Ahamed

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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. Article
  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

3 authors.

Anurag AgarwalMicroNano Mechatronics Laboratory, Department of Mechanical Automotive and Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.
Asif SalahuddinMicroNano Mechatronics Laboratory, Department of Mechanical Automotive and Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0003-2118-8842
Mohammed Jalal AhamedMicroNano Mechatronics Laboratory, Department of Mechanical Automotive and Materials Engineering, University of Windsor, Windsor, ON N9B 3P4, Canada.ORCID 0000-0002-3346-6187

Funding

Natural Sciences and Engineering Research Council RGPIN/04943-2016
6 · The paper itself

Abstract

A transparent and adhesive film-based enclosing and sealing method is here presented for out-of-cleanroom-based open-form microfluidic devices. The commercially available polyester flexible film known as Microseal 'B' is presented in this paper as a cover seal for open-form microfluidic devices. This film is adaptable to high working temperatures and is biocompatible. The quality of the sealing film was investigated by leak tests, fluorescence tests, and contact angle measurements. The investigations revealed its sealing strength, fluorescence detection compatibility, and surface wettability. It was found that the proposed sealing polyester film on the 3D-printed device could sustain a gauge pressure of 2.7 atm at a flow rate of 4 mL/min without any leaks. It also provided fluorescence detection compatibility and an intensity-to-background ratio in the range of 2.3 to 4.5 for particle sizes of 5 μm and 15 μm, respectively, which is comparable with the performances of other sealing materials. The film's hydrophobicity is comparable to other polymers used in microfluidics. This paper concludes by showcasing some applications of such transparent tops in classical microfluidic devices used for droplet generation and fluid mixing, in order to demonstrate the prospects of this fabrication technique in lab-on-a-chip devices.

Indexed as

bondingcover glassfluorescenceleakmicrofluidicsprototypingsealing

Identifiers

PMID38544060
PMCPMC10974451

What OpenQuestion holds

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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.