Evidence map›Paper›PMID 38835324›Full record

ArticleACS applied materials & interfaces2024

Sensing Volatile Pollutants with Spin-Coated Films Made of Pillar[5]arene Derivatives and Data Validation via Artificial Neural Networks.

Ahmed Nuri Kursunlu, Yaser Acikbas, Ceren Yilmaz, Mustafa Ozmen, Inci Capan, Rifat Capan, Kemal Buyukkabasakal, Ahmet Senocak

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In one paragraph

Article in ACS applied materials & interfaces, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Ahmed Nuri KursunluDepartment of Chemistry, Faculty of Science, University of Selcuk, 42250 Konya, Türkiye.
Yaser AcikbasDepartment of Materials Science and Nanotechnology Engineering, Faculty of Engineering, University of Usak, 64200 Usak, Türkiye.ORCID 0000-0003-3416-1083
Ceren YilmazDepartment of Chemistry, Faculty of Science, University of Selcuk, 42250 Konya, Türkiye.
Mustafa OzmenDepartment of Chemistry, Faculty of Science, University of Selcuk, 42250 Konya, Türkiye.ORCID 0000-0001-5117-9168
Inci CapanDepartment of Physics, Faculty of Science, University of Balikesir, 10145 Balikesir, Türkiye.ORCID 0000-0003-1080-4590
Rifat CapanDepartment of Physics, Faculty of Science, University of Balikesir, 10145 Balikesir, Türkiye.ORCID 0000-0003-3222-9056
Kemal BuyukkabasakalDepartment of Electrical and Electronics Engineering, Faculty of Engineering, University of Usak, 64200 Usak, Türkiye.
Ahmet SenocakDepartment of Chemistry, Gebze Technical University, 41400 Gebze, Kocaeli, Türkiye.ORCID 0000-0002-7503-4059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different types of solvents, aromatic and aliphatic, are used in many industrial sectors, and long-term exposure to these solvents can lead to many occupational diseases. Therefore, it is of great importance to detect volatile organic compounds (VOCs) using economic and ergonomic techniques. In this study, two macromolecules based on pillar[5]arene, named

Indexed as

chemical sensorNARX-ANN modelpillar[5]arenespun thin filmsurface plasmon resonance

Identifiers

PMID38835324
PMCPMC11194768

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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.