Evidence map›Paper›PMID 36365843›Full record

ArticleSensors (Basel, Switzerland)2022

Inkjet-Printed Temperature Sensors Characterized according to Standards.

Jonas Jäger, Adrian Schwenck, Daniela Walter, André Bülau, Kerstin Gläser, André Zimmermann

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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. Study of Single and MultipassSensors (Basel, Switzerland) · 2023
    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

6 authors.

Jonas JägerHahn-Schickard, Allmandring 9b, 70569 Stuttgart, Germany.ORCID 0000-0001-8877-8244
Adrian SchwenckHahn-Schickard, Allmandring 9b, 70569 Stuttgart, Germany.ORCID 0000-0002-3071-0412
Daniela WalterHahn-Schickard, Allmandring 9b, 70569 Stuttgart, Germany.ORCID 0000-0002-4285-4907
André BülauHahn-Schickard, Allmandring 9b, 70569 Stuttgart, Germany.ORCID 0000-0002-9585-3422
Kerstin GläserHahn-Schickard, Allmandring 9b, 70569 Stuttgart, Germany.
André ZimmermannHahn-Schickard, Allmandring 9b, 70569 Stuttgart, Germany.ORCID 0000-0003-1824-9376

Funding

Ministry of Economic Affairs, Labour and Tourism of Baden-Württemberg, Germany TechPat nano
6 · The paper itself

Abstract

This paper describes the characterization of inkjet-printed resistive temperature sensors according to the international standard IEC 61928-2. The goal is to evaluate such sensors comprehensively, to identify important manufacturing processes, and to generate data for inkjet-printed temperature sensors according to the mentioned standard for the first time, which will enable future comparisons across different publications. Temperature sensors were printed with a silver nanoparticle ink on injection-molded parts. After printing, the sensors were sintered with different parameters to investigate their influences on the performance. Temperature sensors were characterized in a temperature range from 10 °C to 85 °C at 60% RH. It turned out that the highest tested sintering temperature of 200 °C, the longest dwell time of 24 h, and a coating with fluoropolymer resulted in the best sensor properties, which are a high temperature coefficient of resistance, low hysteresis, low non-repeatability, and low maximum error. The determined hysteresis, non-repeatability, and maximum error are below 1.4% of the full-scale output (FSO), and the temperature coefficient of resistance is 1.23-1.31 × 10

Indexed as

characterizationdrifthysteresisinkjetmaximum errornanoparticlenon-repeatabilitytemperature sensor

Identifiers

PMID36365843
PMCPMC9654304

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.