Evidence map›Paper›PMID 37755215›Full record

ArticleMembranes2023

Facile Preparation of Durable and Eco-Friendly Superhydrophobic Filter with Self-Healing Ability for Efficient Oil/Water Separation.

Wei Xin Voo, Woon Chan Chong, Hui Chieh Teoh, Woei Jye Lau, Yi Jing Chan, Ying Tao Chung

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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 at 4 institutions in 1 country.

Wei Xin VooLee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Sungai Long Campus, Jalan Sungai Long, Cheras, Kajang 43000, Selangor, Malaysia.
Woon Chan ChongLee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Sungai Long Campus, Jalan Sungai Long, Cheras, Kajang 43000, Selangor, Malaysia.
Hui Chieh TeohLee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Sungai Long Campus, Jalan Sungai Long, Cheras, Kajang 43000, Selangor, Malaysia.
Woei Jye LauAdvanced Membrane Technology Research Centre (AMTEC), Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia.
Yi Jing ChanDepartment of Chemical and Environmental Engineering, University of Nottingham Malaysia, Jalan Broga, Semenyih 43500, Selangor, Malaysia.ORCID 0000-0003-2123-2356
Ying Tao ChungDepartment of Chemical & Petroleum Engineering, Faculty of Engineering, Technology & Built Environment, UCSI University Kuala Lumpur Campus, Jalan Mandarina Damai 1, Cheras, Kuala Lumpur 56000, Malaysia.
Universiti Tunku Abdul Rahman · MYUCSI University · MYUniversity of Nottingham Malaysia Campus · MYUniversity of Technology Malaysia · MY

Funding

Advanced Membrane Technology Research Centre (AMTEC), Universiti Teknologi Malaysia A.J091400.6800.07092Ministry of Higher Education FRGS/1/2022/TK09/UTAR/02/13
6 · The paper itself

Abstract

The superhydrophobic feature is highly desirable for oil/water separation (OWS) operation to achieve excellent separation efficiency. However, using hazardous materials in fabricating superhydrophobic surfaces is always the main concern. Herein, superhydrophobic filters were prepared via an eco-friendly approach by anchoring silica particles (SiO

Indexed as

myristic acidoil/water separationself-healingsuperhydrophobic cotton filter

Identifiers

PMID37755215
PMCPMC10534750
OpenAlexW4386712921

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.