Evidence map›Paper›PMID 38893500›Full record

ArticleMolecules (Basel, Switzerland)2024

Kaolin-Derived Porous Silico-Aluminate Nanoparticles as Absorbents for Emergency Disposal of Toluene Leakage.

Xin Wang, Guishi Rao, Feng Zhou, Fuli Bian, Yuan Hu

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 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

5 authors.

Xin WangState Key Laboratory of Fire Science, University of Science and Technology of China, No. 96, Jinzhai Road, Hefei 230026, China.ORCID 0000-0001-5881-4400
Guishi RaoState Key Laboratory of Fire Science, University of Science and Technology of China, No. 96, Jinzhai Road, Hefei 230026, China.
Feng ZhouShanghai Fire Research Institute of Ministry of Emergency Management of China, No. 601, Zhongshan South 2nd Road, Xuhui District, Shanghai 200032, China.
Fuli BianShanghai Fire Research Institute of Ministry of Emergency Management of China, No. 601, Zhongshan South 2nd Road, Xuhui District, Shanghai 200032, China.
Yuan HuState Key Laboratory of Fire Science, University of Science and Technology of China, No. 96, Jinzhai Road, Hefei 230026, China.

Funding

National Key Research and Development Program of China 2022YFC3080800Youth Innovation Promotion Association of the Chinese Academy of Sciences 2021459
6 · The paper itself

Abstract

To rapidly eliminate toluene from aqueous environments during leakage accidents, this paper synthesized porous silico-aluminate nanoparticles (SANs) via a hydrothermal method, using cost-effective and non-toxic natural kaolin as the basic raw material. The morphology and structure of the porous SANs were characterized using scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and BET-specific surface area tests. The effects of different conditions, such as the dosage of porous SANs, initial concentration of toluene, temperature, capture time, and pH, on the adsorption performance of porous SANs were analyzed. The as-prepared SANs exhibited a high removal efficiency and rapid adsorption performance toward toluene in aqueous solution. Finally, the kinetics of the adsorption of toluene in aqueous solution by porous SANs were investigated. The mechanism of the adsorption of toluene by porous SANs was further discussed. These findings provide a cost-effective and highly efficient absorbent for the emergency disposal of toluene leakage accidents.

Indexed as

absorbentsemergency disposalsilico-aluminate nanoparticlestoluene leakage

Identifiers

PMID38893500
PMCPMC11173698

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.