Evidence map›Paper›PMID 34641084›Full record

ArticlePolymers2021

Preparation of Polyurethane Adhesives from Crude and Purified Liquefied Wood Sawdust.

Wen Jiang, Reza Hosseinpourpia, Vladimirs Biziks, Sheikh Ali Ahmed, Holger Militz, Stergios Adamopoulos

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

6 authors.

Wen JiangDepartment of Forestry and Wood Technology, Linnaeus University, Lückligs Plats 1, 35195 Växjö, Sweden.ORCID 0000-0002-1630-1305
Reza HosseinpourpiaDepartment of Forestry and Wood Technology, Linnaeus University, Lückligs Plats 1, 35195 Växjö, Sweden.ORCID 0000-0003-0883-2306
Vladimirs BiziksInstitute of Wood Biology and Wood Products, Georg-August University Göettingen, Büsgenweg 4, 37077 Göttingen, Germany.ORCID 0000-0003-4121-7604
Sheikh Ali AhmedDepartment of Forestry and Wood Technology, Linnaeus University, Lückligs Plats 1, 35195 Växjö, Sweden.ORCID 0000-0002-6390-7377
Holger MilitzInstitute of Wood Biology and Wood Products, Georg-August University Göettingen, Büsgenweg 4, 37077 Göttingen, Germany.
Stergios AdamopoulosDepartment of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Vallvägen 9C, 75007 Uppsala, Sweden.

Funding

Södra Skogsägarnas Stiftelse för Forskning, Utveckling och Utbildning Bio-based polyurethane adhesives for cross-laminated timber (CLT)
6 · The paper itself

Abstract

Polyurethane (PU) adhesives were prepared with bio-polyols obtained via acid-catalyzed polyhydric alcohol liquefaction of wood sawdust and polymeric diphenylmethane diisocyanate (pMDI). Two polyols, i.e., crude and purified liquefied wood (CLW and PLW), were obtained from the liquefaction process with a high yield of 99.7%. PU adhesives, namely CLWPU and PLWPU, were then prepared by reaction of CLW or PLW with pMDI at various isocyanate to hydroxyl group (NCO:OH) molar ratios of 0.5:1, 1:1, 1.5:1, and 2:1. The chemical structure and thermal behavior of the bio-polyols and the cured PU adhesives were analyzed by Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). Performance of the adhesives was evaluated by single-lap joint shear tests according to EN 302-1:2003, and by adhesive penetration. The highest shear strength was found at the NCO:OH molar ratio of 1.5:1 as 4.82 ± 1.01 N/mm

Indexed as

adhesive penetrationbio-polyolbond strengthethylene glycolFTIRliquefactionpMDITGA

Identifiers

PMID34641084
PMCPMC8512079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.