Evidence map›Paper›PMID 36145983›Full record

ArticlePolymers2022

Relationships between Size Distribution, Morphological Characteristics, and Viscosity of Cellulose Nanofibril Dispersions.

Gregory Albornoz-Palma, Daniel Ching, Andrea Andrade, Sergio Henríquez-Gallegos, Regis Teixeira Mendonça, Miguel Pereira

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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.

Gregory Albornoz-PalmaDepartamento de Ingeniería Química, Universidad de Concepción, Concepción 4030000, Chile.ORCID 0000-0002-1194-976X
Daniel ChingDepartamento de Ingeniería Química, Universidad de Concepción, Concepción 4030000, Chile.
Andrea AndradeFacultad de Ciencias Forestales, Universidad de Concepción, Concepción 4030000, Chile.ORCID 0000-0001-6140-7785
Sergio Henríquez-GallegosFacultad de Ciencias Forestales, Universidad de Concepción, Concepción 4030000, Chile.ORCID 0000-0002-6711-6193
Regis Teixeira MendonçaFacultad de Ciencias Forestales, Universidad de Concepción, Concepción 4030000, Chile.ORCID 0000-0002-6004-3841
Miguel PereiraDepartamento de Ingeniería Química, Universidad de Concepción, Concepción 4030000, Chile.ORCID 0000-0003-0618-6259

Funding

Agencia Nacional de Investigación y Desarrollo 1201042Agencia Nacional de Investigación y Desarrollo 2018-21181080Agencia Nacional de Investigación y Desarrollo 2019-21190348
6 · The paper itself

Abstract

Rheological parameters of cellulose nanofibril dispersions (CNF) are relevant and commonly used as quality control for producing of this type of material. These parameters are affected by morphological features and size distribution of the nanofibrils. Understanding the effect of size distribution is essential for analyzing the rheological properties, viscosity control, performance of CNFs, and potential dispersion applications. This study aims at comprehending how the morphological characteristics of the CNFs and their size distribution affect the rheological behavior of dispersions. The CNF dispersions were fractionated by size, obtaining six fractions of each, which were analyzed for their morphology and rheology (viscosity, intrinsic viscosity). In the dilute region, the viscosity and intrinsic viscosity behavior of CNF dispersions are linear concerning the size distribution present in the dispersion. In the semi-dilute region, the size of the fibrils and the fiber aggregates have a relevant effect on the viscosity behavior of CNF dispersions, which are satisfactorily related (R

Indexed as

cellulose nanofibrilsdilute dispersionsemi-dilute dispersionviscosity

Identifiers

PMID36145983
PMCPMC9506213

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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.