Evidence map›Paper›PMID 30340331›Full record

ArticleMaterials (Basel, Switzerland)2018

Synthesis of Silica Microspheres-Inspired by the Formation of Ice Crystals-With High Homogeneous Particle Sizes and Their Applications in Photonic Crystals.

Xiaoyi Chen, Hongbo Xu, Chunxia Hua, Jiupeng Zhao, Yao Li, Ying Song

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2018. 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. 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

6 authors.

Xiaoyi ChenSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China. cxy84828@126.com.
Hongbo XuSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China. iamxhb@hit.edu.cn.
Chunxia HuaSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China. luwanxibei@163.com.
Jiupeng ZhaoSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China. jpzhao@hit.edu.cn.
Yao LiCenter for Composite Materials and Structure, Harbin Institute of Technology, Harbin 150001, China. yaoli@hit.edu.cn.
Ying SongSchool of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China. songy@hit.edu.cn.

Funding

Foundation of Equipment Development Department 6220914010901International Science & Technology Cooperation Program of China 2013DFR10630, 2015DFE52770National Key Research & Development Program 2016YFB0303903, 2016YFE0201600National Natural Science Foundation of China 51572058, 51502057
6 · The paper itself

Abstract

Silica microspheres (SMs) must possess the performances of desirable monodispersity, narrow particle size distribution, and high sphericity for preparing photonic crystals (PCs) and other materials such as microspheres reference material, etc. We have adopted the techniques of increasing reactant concentration and raising the temperature to improve the synthesis rate of SMs, gaining inspiration from the formation mechanism of ice crystals. SMs with uniform particle sizes (polydispersity index less than 0.05) and good spherical features were fabricated through homogeneous nucleation. The mathematical relationship between particle sizes of SMs and reactant concentrations is further fitted. High accuracy of the regression equation is verified by an F-test and verification experiment. Highly ordered PCs (the stacking fault is about 1.5%, and the point defect is about 10

Indexed as

homogeneous nucleationphotonic crystalsself-assemblysilica microspheres

Identifiers

PMID30340331
PMCPMC6213217

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.