Evidence map›Paper›PMID 35267674›Full record

ReviewPolymers2022

Recent Progress in Modification Strategies of Nanocellulose-Based Aerogels for Oil Absorption Application.

M A Iskandar, Esam Bashir Yahya, H P S Abdul Khalil, A A Rahman, M A Ismail

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

5 authors.

M A IskandarSchool of Physics, Universiti Sains Malaysia, Penang 11800, Malaysia.
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
A A RahmanSchool of Physics, Universiti Sains Malaysia, Penang 11800, Malaysia.
M A IsmailTeraju Saga Sdn. Bhd. MP813, Jalan Melaka Perdana 2, Taman Melaka Perdana, Alor Gajah, Melaka 78000, Malaysia.

Funding

Ministry of Higher Education FRGS/1/2019/TK05/USM/01/6Teraju Saga Sdn. Bhd. grant No R115 Elemental Analysis and Material Characterization of Industrial Wastes.
6 · The paper itself

Abstract

Oil spills and oily wastewater have become a major environmental problem in recent years, directly impacting the environment and biodiversity. Several techniques have been developed to solve this problem, including biological degradation, chemicals, controlled burning, physical absorption and membrane separation. Recently, biopolymeric aerogels have been proposed as a green solution for this problem, and they possess superior selective oil absorption capacity compared with other approaches. Several modification strategies have been applied to nanocellulose-based aerogel to enhance its poor hydrophobicity, increase its oil absorption capacity, improve its selectivity of oils and make it a compressible and elastic magnetically responsive aerogel, which will ease its recovery after use. This review presents an introduction to nanocellulose-based aerogel and its fabrication approaches. Different applications of nanocellulose aerogel in environmental, medical and industrial fields are presented. Different strategies for the modification of nanocellulose-based aerogel are critically discussed in this review, presenting the most recent works in terms of enhancing the aerogel performance in oil absorption in addition to the potential of these materials in near future.

Indexed as

environmental wastesmodification techniquesnanocellulose aerogelsoil absorption

Identifiers

PMID35267674
PMCPMC8912783

What OpenQuestion holds

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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.