Evidence map›Paper›PMID 39130565›Full record

ArticleACS omega2024

Investigating the Reactive Reinforcement Ability of Maleic Anhydride-Modified Cellulose Nanocrystals via In-Situ Emulsion Polymerization.

Radheesh Sharma Meda, Somya Jain, Shiva Singh, Dakuri Ramakanth, Shakshi Bhardwaj, Yoshikuni Teramoto, Prasenjit Mondal, Pradip K Maji

Abstract read
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In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Radheesh Sharma MedaDepartment of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Saharanpur Campus, Saharanpur 240071, India.ORCID https://orcid.org/0000-0001-7361-743X
Somya JainDepartment of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Saharanpur Campus, Saharanpur 240071, India.
Shiva SinghDepartment of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Saharanpur Campus, Saharanpur 240071, India.ORCID https://orcid.org/0000-0003-4791-2587
Dakuri RamakanthDepartment of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Saharanpur Campus, Saharanpur 240071, India.ORCID https://orcid.org/0000-0002-6463-231X
Shakshi BhardwajDepartment of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Saharanpur Campus, Saharanpur 240071, India.ORCID https://orcid.org/0000-0002-0539-4358
Yoshikuni TeramotoDivision of Forest & Biomaterials Science, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto 6068502, Japan.ORCID https://orcid.org/0000-0003-3850-3570
Prasenjit MondalDepartment of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India.ORCID https://orcid.org/0000-0002-3101-9017
Pradip K MajiDepartment of Polymer and Process Engineering, Indian Institute of Technology Roorkee, Saharanpur Campus, Saharanpur 240071, India.ORCID https://orcid.org/0000-0001-8112-554X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CNC-based nanocomposites have gained substantial interest because of their enhanced thermomechanical properties for high-end engineering applications. The chemical modification of CNCs expands their applicability, making them suitable for use in hydrophobic polymer matrices. The current study investigates the reactive reinforcing ability of maleic anhydride-modified cellulose nanocrystals during the in situ polymerization of a vinyl monomer, i.e., styrene. Highly crystalline nanocellulose (CNCBG) was isolated from

Identifiers

PMID39130565
PMCPMC11307290

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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.