Evidence map›Paper›PMID 35048340›Full record

ReviewEnvironmental science and pollution research international2022

Removal of emerging contaminants by emulsion liquid membrane: perspective and challenges.

Nur Dina Zaulkiflee, Abdul Latif Ahmad, Nuur Fahanis Che Lah, Meor Muhammad Hafiz Shah Buddin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Environmental science and pollution research international, 2022. 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
2.3field-weighted citation impact, top 13% 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, 24 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

4 authors at 1 institution in 2 countries.

Nur Dina ZaulkifleeSchool of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Malaysia.
Abdul Latif AhmadSchool of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Malaysia. chlatif@usm.my.ORCID http://orcid.org/0000-0003-1612-3032
Nuur Fahanis Che LahSchool of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Malaysia.
Meor Muhammad Hafiz Shah BuddinSchool of Chemical Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Malaysia.
Universiti Sains Malaysia · MY

Funding

Ministry of Higher Education 203/PJKIMIA/67215002ministry of higher education malaysia FRGS/1/2017/TK02/UITM/03/11usm fellowship USM Fellowship
6 · The paper itself

Abstract

Emerging contaminants (ECs) originated from different agricultural, biological, chemical, and pharmaceutical sectors have been detected in our water sources for many years. Several technologies are employed to minimise EC content in the aqueous phase, including solvent extraction processes, but there is not a solution commonly accepted yet. One of the studied alternatives is based on separation processes of emulsion liquid membrane (ELM) that benefit low solvent inventory and energy needs. However, a better understanding of the process and factors influencing the operating conditions and the emulsion stability of the extraction/stripping process is crucial to enhancing ELM's performance. This article aims to describe the applications of this technique for the EC removal and to comprehensively review the ELM properties and characteristics, phase compositions, and process parameters.

Indexed as

Membranes, ArtificialWater Pollutants, ChemicalEmulsionsSolventsWaterEmulsionsMembranes, ArtificialSolventsWaterWater Pollutants, ChemicalEmerging contaminantsEmulsion liquid membraneWater treatment

Identifiers

PMID35048340
OpenAlexW4205469706

What OpenQuestion holds

Textmetadata
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.