Evidence map›Paper›PMID 39310188›Full record

ArticleACS omega2024

Optimized Chemical Bath Deposition for Low Cost, Scalable, and Environmentally Sustainable Synthesis of Star-Like ZnO Nanostructures.

Gisella M Di Mari, Valentina La Matta, Vincenzina Strano, Riccardo Reitano, Pierfrancesco Cerruti, Giovanni Filippone, Salvo Mirabella, Elena Bruno

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Gisella M Di MariDipartimento di Fisica e Astronomia "Ettore Majorana", Università degli Studi di Catania, via S. Sofia 64, Catania 95123, Italy.ORCID https://orcid.org/0000-0002-1513-9684
Valentina La MattaDipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale (INSTM Consortium UdR Naples), University of Naples Federico II, p.le Tecchio 80, Naples 80125, Italy.
Vincenzina StranoCNR-IMM, Catania (University) Unit, via S. Sofia 64, Catania 95123, Italy.ORCID https://orcid.org/0000-0003-2053-4141
Riccardo ReitanoDipartimento di Fisica e Astronomia "Ettore Majorana", Università degli Studi di Catania, via S. Sofia 64, Catania 95123, Italy.
Pierfrancesco CerrutiCNR-IPCB, Via Campi Flegrei 34, Pozzuoli 80078, Italy.
Giovanni FilipponeDipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale (INSTM Consortium UdR Naples), University of Naples Federico II, p.le Tecchio 80, Naples 80125, Italy.ORCID https://orcid.org/0000-0002-4382-3686
Salvo MirabellaDipartimento di Fisica e Astronomia "Ettore Majorana", Università degli Studi di Catania, via S. Sofia 64, Catania 95123, Italy.ORCID https://orcid.org/0000-0002-9559-4862
Elena BrunoDipartimento di Fisica e Astronomia "Ettore Majorana", Università degli Studi di Catania, via S. Sofia 64, Catania 95123, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper highlights an affordable and straightforward method called chemical bath deposition (CBD) for generating different morphologies of ZnO-based nanostructures. In particular, a specific protocol was found to drive the growth versus a high-yield in-plane symmetric six-arm nanostructure, named a nanostar (NS). Each arm of the star consists of a cluster of parallel wires, creating a subnanostructure with a huge surface-to-volume ratio. As-grown NSs present a mixed phase of ZnOHF and ZnO, which converts to ZnO under thermal annealing at 300 °C. The NSs have a highly exposed surface area (13.2702 m

Identifiers

PMID39310188
PMCPMC11411655

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.