Evidence map›Paper›PMID 32805986›Full record

ArticleInorganic chemistry2020

An Approach for Magnetic Halloysite Nanocomposite with Selective Loading of Superparamagnetic Magnetite Nanoparticles in the Lumen.

Hady Hamza, Anna Maria Ferretti, Claudia Innocenti, Katarzyna Fidecka, Emanuela Licandro, Claudio Sangregorio, Daniela Maggioni

Open access · hybridAbstract read
In one paragraph

Article in Inorganic chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 2 institutions in 1 country.

Hady HamzaDipartimento di Chimica, Università degli Studi di Milano, Via Golgi 19, 20133 Milano, Italy.ORCID http://orcid.org/0000-0002-7003-4439
Anna Maria FerrettiSCITEC-CNR, Sede Secondaria via G. Fantoli 16/15, 20138 Milano, Italy.ORCID http://orcid.org/0000-0002-7373-7965
Claudia InnocentiICCOM-CNR, via Madonna del Piano 10, 50019 Sesto, Fiorentino, Italy.
Katarzyna FideckaDipartimento di Chimica, Università degli Studi di Milano, Via Golgi 19, 20133 Milano, Italy.
Emanuela LicandroDipartimento di Chimica, Università degli Studi di Milano, Via Golgi 19, 20133 Milano, Italy.ORCID http://orcid.org/0000-0003-0168-9295
Claudio SangregorioICCOM-CNR, via Madonna del Piano 10, 50019 Sesto, Fiorentino, Italy.ORCID http://orcid.org/0000-0002-2655-3901
Daniela MaggioniDipartimento di Chimica, Università degli Studi di Milano, Via Golgi 19, 20133 Milano, Italy.ORCID http://orcid.org/0000-0001-5201-4824
University of Milan · ITInstitute for the Chemistry of OrganoMetallic Compounds · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present for the first time a method for the preparation of magnetic halloysite nanotubes (HNT) by loading of preformed superparamagnetic magnetite nanoparticles (SPION) of diameter size ∼6 nm with a hydrodynamic diameter of ∼10 nm into HNT. We found that the most effective route to reach this goal relies on the modification of the inner lumen of HNT by tetradecylphosphonic acid (TDP) to give HNT-TDP, followed by the loading with preformed oleic acid (OA)-stabilized SPION. Transmission electron microscopy evidenced the presence of highly crystalline magnetic nanoparticles only in the lumen, partially ordered in chainlike structures. Conversely, attempts to obtain the same result by exploiting either the positive charge of the HNT inner lumen employing SPIONs covered with negatively charged capping agents or the

Identifiers

PMID32805986
PMCPMC8009513
OpenAlexW3048498679

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.