Evidence map›Paper›PMID 33525544›Full record

ArticleMaterials (Basel, Switzerland)2021

(Ti,Sn) Solid Solution Based Gas Sensors for New Monitoring of Hydraulic Oil Degradation.

Ambra Fioravanti, Pietro Marani, Giorgio Paolo Massarotti, Stefano Lettieri, Sara Morandi, Maria Cristina Carotta

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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. TiOMaterials (Basel, Switzerland) · 2022
    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

6 authors.

Ambra FioravantiIstituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili (CNR-STEMS), 44124 Ferrara, Italy.ORCID 0000-0001-8593-2525
Pietro MaraniIstituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili (CNR-STEMS), 44124 Ferrara, Italy.
Giorgio Paolo MassarottiLABSON, Universitat Politecnica de Catalunya, 08222 Terrassa, Spain.
Stefano LettieriIstituto di Scienze Applicate e Sistemi Intelligenti "E. Caianiello" (CNR-ISASI), Complesso Universitario di Monte S. Angelo, 80126 Napoli, Italy.ORCID 0000-0002-4471-3024
Sara MorandiDipartimento di Chimica, Università di Torino, 10125 Torino, Italy.ORCID 0000-0003-0577-7911
Maria Cristina CarottaIstituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili (CNR-STEMS), 44124 Ferrara, Italy.

Funding

Regione Emilia-Romagna CUP: F48D18000090009
6 · The paper itself

Abstract

The proper operation of a fluid power system in terms of efficiency and reliability is directly related to the fluid state; therefore, the monitoring of fluid ageing in real time is fundamental to prevent machine failures. For this aim, an innovative methodology based on fluid vapor analysis through metal oxide (shortened: MOX) gas sensors has been developed. Two apparatuses were designed and realized: (i) A dedicated test bench to fast-age the fluid under controlled conditions; (ii) a laboratory MOX sensor system to test the headspace of the aged fluid samples. To prepare the set of MOX gas sensors suitable to detect the analytes' concentrations in the fluid headspace, different functional materials were synthesized in the form of nanopowders, characterizing them by electron microscopy and X-ray diffraction. The powders were deposited through screen-printing technology, realizing thick-film gas sensors on which dynamical responses in the presence of the fluid headspace were obtained. It resulted that gas sensors based on solid solution Ti

Indexed as

hydraulic fluid ageingmineral oil headspace analysisthick film gas sensors(Ti,Sn) solid solution

Identifiers

PMID33525544
PMCPMC7865283

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.