Evidence map›Paper›PMID 32128467›Full record

ArticleBioactive materials2020

A microarray platform designed for high-throughput screening the reaction conditions for the synthesis of micro/nanosized biomedical materials.

Xiaoyu Li, Xiran Yang, Lei Liu, Peipei Zhou, Jianhua Zhou, Xuetao Shi, Yingjun Wang

Open access · goldAbstract read
In one paragraph

Article in Bioactive materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. 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

7 authors at 2 institutions in 1 country.

Xiaoyu LiSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, 510640, PR China.
Xiran YangSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, 510640, PR China.
Lei LiuSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, 510640, PR China.
Peipei ZhouSchool of Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China.
Jianhua ZhouSchool of Engineering, Sun Yat-sen University, Guangzhou, 510275, PR China.
Xuetao ShiSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, 510640, PR China.
Yingjun WangSchool of Materials Science and Engineering, South China University of Technology, Guangzhou, 510640, PR China.
South China University of Technology · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials research usually relies on lengthy and largely trial-and-error methods, high-throughput technology has thereby emerged as an alternative method which is proven to be a simple, rapid, accurate and sensitive technique. Here, we presented a microfluidic platform with a set of 6 × 6 microarray chips for high-throughput synthesis and rapid screening the reaction conditions of biomedical materials. The core design of this platform is to generate concentration gradient inside microarray chips. Considering that calcium phosphates (CaP) are the most important inorganic constituents of biological hard tissues, different phases of calcium phosphates particles were synthesized with various morphogenesis when the reaction conditions such as Ca/P concentration ratio, NaOH concentration were screened using our platform. And this platform is universal and expected to apply to other systems for high-throughput screening and synthesis.

Indexed as

Calcium phosphatesConcentration gradientHigh-throughputMicrofluidics

Identifiers

PMID32128467
PMCPMC7044658
OpenAlexW3009009707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.