Evidence map›Paper›PMID 35480695›Full record

ArticleRSC advances2021

Improved performance of soy protein adhesive with melamine-urea-formaldehyde prepolymer.

Ke Jiang, Zhenghui Lei, Maoyu Yi, Wenxin Lv, Mingwei Jing, Qiaoling Feng, Hailu Tan, Yuzhu Chen, Hui Xiao

Abstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Ke JiangCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Zhenghui LeiCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Maoyu YiCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Wenxin LvCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Mingwei JingCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Qiaoling FengCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Hailu TanCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Yuzhu ChenCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.
Hui XiaoCollege of Forestry, Sichuan Agricultural University Chengdu 611130 Sichuan China.ORCID https://orcid.org/0000-0002-7415-4374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, soy protein adhesive, as an environmentally friendly bio-based adhesive, has attracted extensive attention. In this study, in order to ameliorate the bonding quality of soy protein isolate (SPI) adhesive, the melamine-urea-formaldehyde prepolymer (MUFP) was synthesized, and different amounts of it were introduced into the SPI adhesive as a cross-linking agent. Fourier transform infrared (FT-IR) spectroscopy, gel permeation chromatography (GPC), thermogravimetric analyze (TGA), and scanning electron microscopy (SEM) were used to analysis the mechanism of modification. The results of plywood test indicated that the wet bonding strength of the adhesives was first increased and then decreased with an increase in the amount of MUFP additive. FT-IR, TGA, and SEM tests suggested that the introduction of MUFP could promote the establishment of a cross-linking structure in the cured adhesive layer to improve the bonding quality of adhesives, but presence of excessive MUFP could introduce hydrophilic groups and adversely affect water resistance.

Identifiers

PMID35480695
PMCPMC9037677

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.