Evidence map›Paper›PMID 36749901›Full record

ArticleBiomacromolecules2023

Efficient Isolation Method for Highly Charged Phosphorylated Cellulose Nanocrystals.

Marcel Kröger, Olamide Badara, Timo Pääkkönen, Inge Schlapp-Hackl, Sami Hietala, Eero Kontturi

Full text read
In one paragraph

Article in Biomacromolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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.

Marcel KrögerDepartment of Bioproducts and Biosystems, Aalto University, FI-00076 Aalto, Finland.
Olamide BadaraDepartment of Bioproducts and Biosystems, Aalto University, FI-00076 Aalto, Finland.
Timo PääkkönenDepartment of Bioproducts and Biosystems, Aalto University, FI-00076 Aalto, Finland.ORCID 0000-0003-0674-3967
Inge Schlapp-HacklDepartment of Bioproducts and Biosystems, Aalto University, FI-00076 Aalto, Finland.ORCID 0000-0001-9436-7134
Sami HietalaDepartment of Chemistry, University of Helsinki, PB 55, FI-00014 Helsinki, Finland.ORCID 0000-0003-1448-1813
Eero KontturiDepartment of Bioproducts and Biosystems, Aalto University, FI-00076 Aalto, Finland.ORCID 0000-0003-1690-5288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorylation of cellulose nanocrystals (CNCs) has remained a marginal activity despite the undisputed application potential in flame-retardant materials, sustainable high-capacity ion-exchange materials, or substrates for biomineralization among others. This is largely due to strenuous extraction methods prone to a combination of poor reproducibility, low degrees of substitution, disappointing yields, and impractical reaction sequences. Here, we demonstrate an improved methodology relying on the modification routines for phosphorylated cellulose nanofibers and hydrolysis by gaseous HCl to isolate CNCs. This allows us to overcome the aforementioned shortcomings and to reliably and reproducibly extract phosphorylated CNCs with exceptionally high surface charge (∼2000 mmol/kg) in a straightforward routine that minimizes water consumption and maximizes yields. The CNCs were characterized by NMR, ζpotential, conductometric titration, thermogravimetry, elemental analysis, wide-angle X-ray scattering, transmission electron microscopy, and atomic force microscopy.

Indexed as

NanofibersNanoparticlesCelluloseMicroscopy, Electron, TransmissionReproducibility of ResultsCellulose

Identifiers

PMID36749901
PMCPMC10015457

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read67
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.