Evidence map›Paper›PMID 37367769›Full record

ArticleMembranes2023

Efficiency of Fabricated Adsorptive Polysulfone Mixed Matrix Membrane for Acetic Acid Separation.

Kavita Pusphanathan, Hafiza Shukor, Noor Fazliani Shoparwe, Muaz Mohd Zaini Makhtar, Nor' Izzah Zainuddin, Nora Jullok, Masoom Raza Siddiqui, Mahboob Alam, Mohd Rafatullah

Abstract 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. 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

9 authors.

Kavita PusphanathanBioprocess Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Gelugor 11800, Malaysia.ORCID 0009-0008-0759-9075
Hafiza ShukorCentre of Excellence for Biomass Utilization, Faculty of Chemical Engineering Technology, University Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0003-1942-4869
Noor Fazliani ShoparweGold, Rare Earth and Material Technopreneurship Centre (GREAT), Faculty of Bioengineering and Technology, Universiti Malaysia Kelantan, Jeli Campus, Jeli 17600, Malaysia.ORCID 0000-0002-4329-2459
Muaz Mohd Zaini MakhtarBioprocess Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Gelugor 11800, Malaysia.ORCID 0000-0001-8140-213X
Nor' Izzah ZainuddinIndah Water Konsortium, Lorong Perda Utama 13, Bukit Mertajam 14300, Malaysia.
Nora JullokCentre of Excellence for Biomass Utilization, Faculty of Chemical Engineering Technology, University Malaysia Perlis, Arau 02600, Malaysia.ORCID 0000-0003-0735-4402
Masoom Raza SiddiquiChemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-2784-6829
Mahboob AlamDivision of Chemistry and Biotechnology, Dongguk University, 123, Dongdaero, Gyeongju-si 780714, Republic of Korea.ORCID 0000-0002-5188-1130
Mohd RafatullahEnvironmental Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Gelugor 11800, Malaysia.ORCID 0000-0002-4590-3153

Funding

King Saud University RSP2023R326
6 · The paper itself

Abstract

The ultrafiltration mixed matrix membrane (UF MMMs) process represents an applicable approach for the removal of diluted acetic acid at low concentrations, owing to the low pressures applied. The addition of efficient additives represents an approach to further improve membrane porosity and, subsequently, enhance acetic acid removal. This work demonstrates the incorporation of titanium dioxide (TiO

Indexed as

acetic acidmixed matrix membranepolysulfoneultrafiltration

Identifiers

PMID37367769
PMCPMC10301828

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.