Evidence map›Paper›PMID 30970580›Full record

ArticleSensors (Basel, Switzerland)2019

Design and Characterization of Effective Ag, Pt and AgPt Nanoparticles to H₂O₂ Electrosensing from Scrapped Printed Electrodes.

Beatriz Gómez-Monedero, María-Isabel González-Sánchez, Jesús Iniesta, Jerónimo Agrisuelas, Edelmira Valero

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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.

Beatriz Gómez-MonederoDepartment of Physical Chemistry, Higher Technical School of Industrial Engineering, University of Castilla-La Mancha, Campus Universitario s/n, 02071 Albacete, Spain. Beatriz.Gomez@uclm.es.ORCID 0000-0002-5302-9937
María-Isabel González-SánchezDepartment of Physical Chemistry, Higher Technical School of Industrial Engineering, University of Castilla-La Mancha, Campus Universitario s/n, 02071 Albacete, Spain. MIsabel.Gonzalez@uclm.es.
Jesús IniestaDepartment of Physical Chemistry, Institute of Electrochemistry, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain. Jesus.Iniesta@ua.es.
Jerónimo AgrisuelasDepartment of Physical Chemistry, Faculty of Chemistry, University of Valencia, Dr Moliner 50, 46100 Burjassot, Valencia, Spain. Jeronimo.Agrisuelas@uv.es.ORCID 0000-0003-0193-2857
Edelmira ValeroDepartment of Physical Chemistry, Higher Technical School of Industrial Engineering, University of Castilla-La Mancha, Campus Universitario s/n, 02071 Albacete, Spain. Edelmira.Valero@uclm.es.ORCID 0000-0001-8636-4574

Funding

Junta de Comunidades de Castilla-La Mancha SBPLY/17/180501/000276/2 (cofunded with FEDER funds, EU)Junta de Comunidades de Castilla-La Mancha (Youth Employment Initiative, cofunded with ESF funds, EU) Grant BGMMinisterio de Economía y Competitividad BFU2016-75609-P (AEI/FEDER, EU)Ministerio de Economía y Competitividad CTQ2016-76231-C2-2-R
6 · The paper itself

Abstract

The use of disposable screen-printed electrodes (SPEs) has extraordinarily grown in the last years. In this paper, conductive inks from scrapped SPEs were removed by acid leaching, providing high value feedstocks suitable for the electrochemical deposition of Ag, Pt and Ag core-Pt shell-like bimetallic (AgPt) nanoparticles, onto screen-printed carbon electrodes (M

Indexed as

bimetallic nanoparticlesconductive inkshydrogen peroxide sensormetals recoveryplatinum nanoparticlesscreen-printed electrodessilver nanoparticles

Identifiers

PMID30970580
PMCPMC6479472

What OpenQuestion holds

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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.