Evidence map›Paper›PMID 31694184›Full record

ArticlePolymers2019

Extraction of Cellulose Nanofibers via Eco-friendly Supercritical Carbon Dioxide Treatment Followed by Mild Acid Hydrolysis and the Fabrication of Cellulose Nanopapers.

M S Nurul Atiqah, Deepu A Gopakumar, Owolabi F A T, Yasir Beeran Pottathara, Samsul Rizal, N A Sri Aprilia, D Hermawan, M T T Paridah, Sabu Thomas, Abdul Khalil H P S

Abstract read
In one paragraph

Article in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

10 authors.

M S Nurul AtiqahSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0001-6153-3415
Deepu A GopakumarSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0001-9394-6302
Owolabi F A TSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0002-5346-8016
Yasir Beeran PottatharaFaculty of Mechanical Engineering, University of Maribor, 2000 Maribor, Slovenia.ORCID 0000-0002-8271-6162
Samsul RizalDepartment of Mechanical Engineering, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia.
N A Sri ApriliaDepartment of Chemical Engineering, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia.
D HermawanDepartment of Forest Product, Faculty of Forestry, Kampus IPB, Darmaga, Bogor Agricultural University, Bogor 16001, West Java, Indonesia.
M T T ParidahInstitute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia, Serdang, Selangor 43400, Malaysia.ORCID 0000-0002-2961-6031
Sabu ThomasSchool of Chemical Sciences, Mahatma Gandhi University, Kottayam, Kerala 686560, India.
Abdul Khalil H P SSchool of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia.ORCID 0000-0003-2403-809X

Funding

Universiti Sains Malaysia RUI: 1001/PTEKIND/814255
6 · The paper itself

Abstract

The conventional isolation of cellulose nanofibers (CNFs) process involves high energy input which leads to compromising the pulp fiber's physical and chemical properties, in addition to the issue of elemental chlorine-based bleaching, which is associated with serious environmental issues. This study investigates the characteristic functional properties of CNFs extracted via total chlorine-free (TCF) bleached kenaf fiber followed by an eco-friendly supercritical carbon dioxide (SC-CO

Indexed as

cellulose nanofiberscellulose nanopaperkenaf fibersupercritical carbon dioxidetotal chlorine free bleaching

Identifiers

PMID31694184
PMCPMC6918378

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.