Evidence map›Paper›PMID 34372143›Full record

ArticlePolymers2021

Prediction of Residual Curing Capacity of Melamine-Formaldehyde Resins at an Early Stage of Synthesis by In-Line FTIR Spectroscopy.

Regina Seidl, Stephanie Weiss, Rudolf W Kessler, Waltraud Kessler, Edith M Zikulnig-Rusch, Andreas Kandelbauer

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
8.8field-weighted citation impact, top 3% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  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

6 authors at 2 institutions in 2 countries.

Regina SeidlKompetenzzentrum Holz GmbH, Altenberger Straße 69, 4040 Linz, Austria, c/o W3C, Klagenfurter Straße 87-89, 9300 St. Veit an der Glan, Austria.
Stephanie WeissKompetenzzentrum Holz GmbH, Altenberger Straße 69, 4040 Linz, Austria, c/o W3C, Klagenfurter Straße 87-89, 9300 St. Veit an der Glan, Austria.
Rudolf W KesslerKessler ProData GmbH, 72762 Reutlingen, Germany.
Waltraud KesslerKessler ProData GmbH, 72762 Reutlingen, Germany.
Edith M Zikulnig-RuschKompetenzzentrum Holz GmbH, Altenberger Straße 69, 4040 Linz, Austria, c/o W3C, Klagenfurter Straße 87-89, 9300 St. Veit an der Glan, Austria.
Andreas KandelbauerDepartment of Material Science and Process Engineering, Institute of Wood Technology and Renewable Materials, BOKU-University of Natural Resources and Life Sciences, Konrad Lorenz Strasse 24, 3430 Tulln, Austria.ORCID 0000-0001-9786-964X
Kompetenzzentrum Holz · ATReutlingen University · DE

Funding

Austrian Research Promotion Agency FFG 865905
6 · The paper itself

Abstract

Melamine-formaldehyde (MF) resins are widely used as surface finishes for engineered wood-based panels in decorative laminates. Since no additional glue is applied in lamination, the overall residual curing capacity of MF resins is of great technological importance. Residual curing capacity is measured by differential scanning calorimetry (DSC) as the exothermic curing enthalpy integral of the liquid resin. After resin synthesis is completed, the resulting pre-polymer has a defined chemical structure with a corresponding residual curing capacity. Predicting the residual curing capacity of a resin batch already at an early stage during synthesis would enable corrective measures to be taken by making adjustments while synthesis is still in progress. Thereby, discarding faulty batches could be avoided. Here, by using a batch modelling approach, it is demonstrated how quantitative predictions of MF residual curing capacity can be derived from inline Fourier Transform infrared (FTIR) spectra recorded during resin synthesis using partial least squares regression. Not only is there a strong correlation (R

Indexed as

batch modellingdecorative laminatesinline spectroscopymelamine formaldehyde (MF)process analytics

Identifiers

PMID34372143
PMCPMC8347487
OpenAlexW3191725240

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.