Evidence map›Paper›PMID 30966659›Full record

ArticlePolymers2018

Highly Efficient Flame Retardant Hybrid Composites Based on Calcium Alginate/Nano-Calcium Borate.

Zhenhui Liu, Zichao Li, Xihui Zhao, Lei Zhang, Qun Li

Abstract read
In one paragraph

Article in Polymers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Zhenhui LiuCollege of Chemistry and Chemical Engineering, Qingdao University, Qingdao 266071, China. 2016020405@qdu.edu.cn.
Zichao LiCollege of Life Sciences, Qingdao University, Qingdao 266071, China;. zichaoli@qdu.edu.cn.
Xihui ZhaoCollege of Chemistry and Chemical Engineering, Qingdao University, Qingdao 266071, China. zhaoxihui@qdu.edu.cn.
Lei ZhangCollege of Chemistry and Chemical Engineering, Qingdao University, Qingdao 266071, China. 2017020832@qdu.edu.cn.
Qun LiCollege of Chemistry and Chemical Engineering, Qingdao University, Qingdao 266071, China. qunli@qdu.edu.cn.ORCID 0000-0003-0532-105X

Funding

National Natural Science Foundation of China 51773102, 51503110Qingdao Postdoctoral Application Research Project 2015134
6 · The paper itself

Abstract

Hybrid composites with low flammability based on renewable calcium alginate and nano-calcium borate were fabricated using an in situ method through a simple, eco-friendly vacuum drying process. The composites were characterized by X-ray diffractometry (XRD), Fourier transform infrared spectrum (FTIR), scanning electron microscopy (SEM), and thermogravimetric analysis (TGA). The combustion behavior and flammability of the composites were assessed by using the limiting oxygen index (LOI) and cone calorimetry (CONE) tests. The composites showed excellent thermal stability and achieved nonflammability with an LOI higher than 60. Pyrolysis was investigated using pyrolysis⁻gas chromatography⁻mass spectrometry (Py-GC-MS) and the results showed that fewer sorts of cracking products were produced from the hybrid composites compared with the calcium alginate. A possible thermal degradation mechanism of composites was proposed based on the experimental data. The combined results indicate that the calcium borate had a nano-effect, accumulating more freely in the hybrid composites and contributing significantly to both the solid phase and gas phase, resulting in an efficient improvement in the flame retardancy of the composites. Our study provides a novel material with promising potentiality for flame retardant applications.

Indexed as

calcium alginateflame retardancynano-calcium boratepyrolysisthermal degradation

Identifiers

PMID30966659
PMCPMC6403745

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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.