Evidence map›Paper›PMID 30823370›Full record

ArticleMaterials (Basel, Switzerland)2019

Spherical Composite Powder by Coupling Polymethyl Methacrylate and Boron Nitride via Spray Drying for Cosmetic Application.

Cherng-Yuh Su, Jia-Chang Wang, Chih-Yuan Chen, Kent Chu, Chung-Kwei Lin

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Cherng-Yuh SuDepartment of Mechanical Engineering, National Taipei University of Technology, Taipei 106, Taiwan. cysu@ntut.edu.tw.
Jia-Chang WangDepartment of Mechanical Engineering, National Taipei University of Technology, Taipei 106, Taiwan. jcw@ntut.edu.tw.
Chih-Yuan ChenDepartment of Mechanical Engineering, National Taipei University of Technology, Taipei 106, Taiwan. nb0693@gmail.com.
Kent ChuHeBN Co., Ltd., Taichung 411, Taiwan. kent@nntbn.com.tw.
Chung-Kwei LinAdditive Manufacturing Center for Mass Customization Production, National Taipei University of Technology, Taipei 106, Taiwan. chungkwei@tmu.edu.tw.ORCID 0000-0003-4964-8687
National Taipei University of Technology · TW

Funding

National Taipei University of Technology and Taipei Medical University NTUT-TMU-103-09
6 · The paper itself

Abstract

In the present study, spherical composite powder was successfully prepared via spray drying process using polymethyl methacrylate (PMMA) and hexagonal boron nitride (h-BN) powders. The pristine and as-prepared composite powders were examined using scanning electron microscopy, a particle size analyzer, oil absorption, and specific surface area analyses. These powders were then mixed with linseed oil to prepare samples for UV-Visible-Near Infrared spectroscopy investigation to determine their light absorption ability. Blank and powder-added blemish balm creams were examined using a sun protection factor tester and a thermal conductivity tester. In addition, transmittances of these creams were also evaluated. The experimental results show that spray-dried spherical composite powder exhibited good oil absorption ability. The blemish balm cream with 10 wt.% spray-dried composite powder not only exhibited superior sunscreen protection ability, but also good thermal conductivity.

Indexed as

blemish balm creamboron nitridecosmeticsoptical propertiesPMMAsun protection factor (SPF)thermal conductivity

Identifiers

PMID30823370
PMCPMC6427651
OpenAlexW2917824390

What OpenQuestion holds

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LicenceCC BY
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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.