Evidence map›Paper›PMID 27801809›Full record

ArticleSensors (Basel, Switzerland)2016

Comparison of Ultrasonic Welding and Thermal Bonding for the Integration of Thin Film Metal Electrodes in Injection Molded Polymeric Lab-on-Chip Systems for Electrochemistry.

Marco Matteucci, Arto Heiskanen, Kinga Zór, Jenny Emnéus, Rafael Taboryski

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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
1.6field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Recent Advancements towards Full-System Microfluidics.Sensors (Basel, Switzerland) · 2017
    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

5 authors at 1 institution in 1 country.

Marco MatteucciDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kongens Lyngby 2800, Denmark. mamat@nanotech.dtu.dk.
Arto HeiskanenDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kongens Lyngby 2800, Denmark. arto.heiskanen@nanotech.dtu.dk.
Kinga ZórDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kongens Lyngby 2800, Denmark. kinzo@nanotech.dtu.dk.
Jenny EmnéusDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kongens Lyngby 2800, Denmark. jenny.emneus@nanotech.dtu.dk.
Rafael TaboryskiDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kongens Lyngby 2800, Denmark. rata@nanotech.dtu.dk.
Technical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compare ultrasonic welding (UW) and thermal bonding (TB) for the integration of embedded thin-film gold electrodes for electrochemical applications in injection molded (IM) microfluidic chips. The UW bonded chips showed a significantly superior electrochemical performance compared to the ones obtained using TB. Parameters such as metal thickness of electrodes, depth of electrode embedding, delivered power, and height of energy directors (for UW), as well as pressure and temperature (for TB), were systematically studied to evaluate the two bonding methods and requirements for optimal electrochemical performance. The presented technology is intended for easy and effective integration of polymeric Lab-on-Chip systems to encourage their use in research, commercialization and education.

Indexed as

electrochemistryinjection moldingmetal electrodesmicrofluidicsultrasonic welding

Identifiers

PMID27801809
PMCPMC5134454
OpenAlexW2539544102

What OpenQuestion holds

Textmetadata
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.