Evidence map›Paper›PMID 35054732›Full record

ArticlePolymers2022

Extraction and Isolation of Cellulose Nanofibers from Carpet Wastes Using Supercritical Carbon Dioxide Approach.

Halimatuddahliana Nasution, Esam Bashir Yahya, H P S Abdul Khalil, Marwan Abdulhakim Shaah, A B Suriani, Azmi Mohamed, Tata Alfatah, C K Abdullah

Open access · goldAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  5. 4Polymers · 2022
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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

8 authors at 3 institutions in 2 countries.

Halimatuddahliana NasutionDepartment of Chemical Engineering, Faculty of Engineering, Universitas Sumatera Utara, Medan 20155, Indonesia.
Esam Bashir YahyaSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0002-1599-1754
H P S Abdul KhalilSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0003-2403-809X
Marwan Abdulhakim ShaahSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.
A B SurianiNanotechnology Research Centre, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris (UPSI), Tanjung Malim 35900, Perak, Malaysia.
Azmi MohamedNanotechnology Research Centre, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris (UPSI), Tanjung Malim 35900, Perak, Malaysia.
Tata AlfatahSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0002-5572-1206
C K AbdullahSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0002-9235-8346
Universiti Sains Malaysia · MYSultan Idris Education University · MYUniversitas Sumatera Utara · ID

Funding

Ministry of Higher Education FRGS/1/2019/TK05/USM/01/6.
6 · The paper itself

Abstract

Cellulose nanofibers (CNFs) are the most advanced bio-nanomaterial utilized in various applications due to their unique physical and structural properties, renewability, biodegradability, and biocompatibility. It has been isolated from diverse sources including plants as well as textile wastes using different isolation techniques, such as acid hydrolysis, high-intensity ultrasonication, and steam explosion process. Here, we planned to extract and isolate CNFs from carpet wastes using a supercritical carbon dioxide (Sc.CO

Indexed as

carpet wastescellulose nanofibers isolationenhanced propertiessupercritical carbon dioxide

Identifiers

PMID35054732
PMCPMC8780019
OpenAlexW4206034665

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.