Evidence map›Paper›PMID 31258177›Full record

ArticleJournal of materials science2018

Optimization of mesoporous titanosilicate catalysts for cyclohexene epoxidation via statistically guided synthesis.

A S Perera, P Trogadas, M M Nigra, H Yu, M-O Coppens

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of materials science, 2018. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Effects of Aluminosilicate Gel Treatment and TiOGels (Basel, Switzerland) · 2023
    Article
  3. 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

5 authors.

A S Perera1Centre for Nature Inspired Engineering, University College London, Torrington Place, London, WC1E 7JE UK.ORCID 0000-0003-2139-040X
P Trogadas1Centre for Nature Inspired Engineering, University College London, Torrington Place, London, WC1E 7JE UK.ORCID 0000-0002-5223-5886
M M Nigra2Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.ORCID 0000-0002-0188-0447
H Yu2Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE UK.ORCID 0000-0002-1810-2537
M-O Coppens1Centre for Nature Inspired Engineering, University College London, Torrington Place, London, WC1E 7JE UK.ORCID 0000-0002-1092-1212

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An efficient approach to improve the catalytic activity of titanosilicates is introduced. The Doehlert matrix (DM) statistical model was utilized to probe the synthetic parameters of mesoporous titanosilicate microspheres (MTSM), in order to increase their catalytic activity with a minimal number of experiments. Synthesis optimization was carried out by varying two parameters simultaneously: homogenizing temperature and surfactant weight. Thirteen different MTSM samples were synthesized in two sequential 'matrices' according to Doehlert conditions and were used to catalyse the epoxidation of cyclohexene with

Identifiers

PMID31258177
PMCPMC6566288

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.