Evidence map›Paper›PMID 33670467›Full record

ArticlePolymers2021

Microfabrication with Very Low-Average Power of Green Light to Produce PDMS Microchips.

Lucero M Hernandez-Cedillo, Francisco G Vázquez-Cuevas, Rafael Quintero-Torres, Jose L Aragón, Miguel Angel Ocampo Mortera, Cesar L Ordóñez-Romero, Jorge L Domínguez-Juárez

Abstract read
In one paragraph

Article in Polymers, 2021. 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. 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

7 authors.

Lucero M Hernandez-CedilloCentro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Juriquilla, Querétaro 76230, Mexico.
Francisco G Vázquez-CuevasDepartment of Cellular and Molecular Neurobiology, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Boulevard Juriquilla #3001, Juriquilla, Querétaro 76230, Mexico.
Rafael Quintero-TorresCentro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Juriquilla, Querétaro 76230, Mexico.ORCID 0000-0003-0078-0070
Jose L AragónCentro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Juriquilla, Querétaro 76230, Mexico.ORCID 0000-0001-7719-2942
Miguel Angel Ocampo MorteraCentro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Juriquilla, Querétaro 76230, Mexico.
Cesar L Ordóñez-RomeroInstituto de Física, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Jorge L Domínguez-JuárezCentro de Física Aplicada y Tecnología Avanzada, Universidad Nacional Autónoma de México, Juriquilla, Querétaro 76230, Mexico.ORCID 0000-0001-5010-6012

Funding

Consejo Nacional de Ciencia y Tecnología CATEDRAS-CONACYT1039Universidad Nacional Autónoma de México PAPIME-PE101319
6 · The paper itself

Abstract

In this article, we show an alternative low-cost fabrication method to obtain poly(dimethyl siloxane) (PDMS) microfluidic devices. The proposed method allows the inscription of micron resolution channels on polystyrene (PS) surfaces, used as a mold for the wanted microchip's production, by applying a high absorption coating film on the PS surface to ablate it with a focused low-power visible laser. The method allows for obtaining micro-resolution channels at powers between 2 and 10 mW and can realize any two-dimensional polymeric devices. The effect of the main processing parameters on the channel's geometry is presented.

Indexed as

laser ablationlow-cost fabrication toolmicrofabricationPDMS devicespolymeric microchip

Identifiers

PMID33670467
PMCPMC7921959

What OpenQuestion holds

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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.