Evidence map›Paper›PMID 39124863›Full record

ArticleMolecules (Basel, Switzerland)2024

Preparation of BN Nanoparticle with High Sintering Activity and Its Formation Mechanism.

Qun Li, Kuo Zhang, Xiangming Che, Tengchao Gao, Shuhuan Wang, Guolong Ni

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. 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. 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

6 authors.

Qun LiCollege of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China.
Kuo ZhangCollege of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China.ORCID 0009-0005-1052-3846
Xiangming CheCollege of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China.
Tengchao GaoCollege of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China.
Shuhuan WangCollege of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China.
Guolong NiCollege of Metallurgy and Energy, North China University of Science and Technology, Tangshan 063210, China.

Funding

National Natural Science Foundation of China 52104329Natural Science Foundation of Hebei Province E2021209141Natural Science Foundation of Hebei Province E2022209136Science Research Project of Hebei Education Department, China BJK2022003Youth Scholars Promotion Plan of North China University of Science and Technology, China QNTJ202203
6 · The paper itself

Abstract

Hexagonal boron nitride (h-BN) nanoparticles have attracted increasing attention due to their unique structure and properties. However, it is difficult to synthesize h-BN nanoparticles with uniform spherical morphology due to their crystal characteristic. The morphology control by tuning their precursor synthesis is a promising and effective strategy to solve this problem. Especially, the treatment temperature of precursors plays an important role in the morphology and surface area of h-BN nanoparticles. Herein, h-BN nanoparticles with different morphologies were synthesized via regulating the treatment temperature of precursors. The result shows that treatment temperature will affect the microstructure and state of precursor and further influence the morphology of h-BN products. Benefiting from the unique structure, the h-BN obtained using 250 °C precursors shows higher specific surface area (61.1 m

Indexed as

controllable synthesisformation mechanismh-BN nanoparticlesprecursor treatmentsintering activity

Identifiers

PMID39124863
PMCPMC11313934

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.