Evidence map›Paper›PMID 34641232›Full record

ArticlePolymers2021

Comparative Study on Different Modified Preparation Methods of Cellulose Nanocrystalline.

Xinhui Wang, Na Wang, Baoming Xu, Yili Wang, Jinyan Lang, Junliang Lu, Guorong Chen, Heng Zhang

Abstract read
In one paragraph

Article in Polymers, 2021. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Xinhui WangCollege of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.
Na WangCollege of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.
Baoming XuCollege of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.
Yili WangCollege of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.
Jinyan LangCollege of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.
Junliang LuCollege of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.
Guorong ChenFujian Provincial Key Laboratory of Fire Retardant Materials, Xiamen 361005, China.
Heng ZhangCollege of Marine Science and Biological Engineering, Qingdao University of Science & Technology, Qingdao 266042, China.ORCID 0000-0002-2238-7758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different modification process routes are used to improve the modified cellulose nanocrystalline (MCNC) with higher fatty acid by esterification reaction and graft polymerization to obtain certain hydrophobic properties. Two preparation methods, product structure and surface activity, are compared and explored. Experimental results show that the modified product is still at the nanometer level and basically retains the crystal structure of the raw cellulose nanocrystalline (CNC). The energy consumption of the two preparation methods is low; however, the esterification method with co-reactant requires short reaction time, and the degree of substitution of the product is high. The modified product prepared by grafting polymerization method has a high HLB value and amphiphilicity, which can effectively reduce the surface tension of water. Therefore, it can be used as a green and environmentally friendly surface-active substance.

Indexed as

CNCesterification reactiongraft copolymerizationhydrophobic modification

Identifiers

PMID34641232
PMCPMC8512115

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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.