Evidence map›Paper›PMID 31222635›Full record

ArticleNanoscale research letters2019

Preparation of ZnO Nanoparticles with High Dispersibility Based on Oriented Attachment (OA) Process.

Dingding Cao, Sheng Gong, Xugang Shu, Dandan Zhu, Shengli Liang

Abstract read
In one paragraph

Article in Nanoscale research letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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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.

Dingding CaoSchool of Chemistry and Chemical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou, 510220, China.
Sheng GongSchool of Chemistry and Chemical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou, 510220, China. gshengjx@163.com.
Xugang ShuSchool of Chemistry and Chemical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou, 510220, China. xgshu@21cn.com.
Dandan ZhuSchool of Chemistry and Chemical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou, 510220, China.
Shengli LiangSchool of Chemistry and Chemical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou, 510220, China.

Funding

Guangdong Education Department 2017KZDXM045Guangdong Science and Technology Department 2018050506081, 2017A050506055, 2017A040405055, 2016A010103036Natural Science Foundation of Guangdong Province 2018A0303130068
6 · The paper itself

Abstract

Understanding nanoparticle growth mechanisms is crucial for the synthesis of nanocrystals with desired biological and chemical properties. Growth of nanocrystals by oriented attachment (OA) is frequently reported as a method supplementary to the classical growth by Ostwald ripening (OR) process. In this work, ZnO nanoparticles (NPs) were prepared by wet chemical method. Size/shape evolution of ZnO NPs in ethanol solution was systematically studied using transmission electron microscopy (TEM), dynamic light scattering (DLS), and X-ray diffraction (XRD). In addition, a detailed process of the nanoparticle growth-based OA mechanism is discussed. Results revealed that reaction conditions affect size/shape of NPs and change their surface structure: prior to OA, the surface of adjacent particles transformed into their "rough" states. We proved that stability of the solution was significantly improved in this state. Such a state is important to design nanoparticles with high stability and as nano-suspensions with special physical and/or chemical properties. This state is a critical step in enhancing OA process.

Indexed as

Growth mechanismNanocrystals synthesisOriented attachment (OA)Suspension propertyZinc oxide

Identifiers

PMID31222635
PMCPMC6586737

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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.