Evidence map›Paper›PMID 32357447›Full record

ArticleMembranes2020

Assessing the Performance of Thin-Film Nanofiltration Membranes with Embedded Montmorillonites.

Micah Belle Marie Yap Ang, Amira Beatriz Gaces Deang, Ruth R Aquino, Blessie A Basilia, Shu-Hsien Huang, Kueir-Rarn Lee, Juin-Yih Lai

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2020. 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
1.2field-weighted citation impact, top 23% 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, 20 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

7 authors at 2 institutions in 2 countries.

Micah Belle Marie Yap AngR&D Center for Membrane Technology and Department of Chemical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan.ORCID 0000-0002-8624-1803
Amira Beatriz Gaces DeangSchool of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila 1002, Philippines.
Ruth R AquinoSchool of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila 1002, Philippines.
Blessie A BasiliaSchool of Chemical, Biological, and Materials Engineering and Sciences, Mapúa University, Manila 1002, Philippines.
Shu-Hsien HuangR&D Center for Membrane Technology and Department of Chemical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan.
Kueir-Rarn LeeR&D Center for Membrane Technology and Department of Chemical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan.
Juin-Yih LaiR&D Center for Membrane Technology and Department of Chemical Engineering, Chung Yuan Christian University, Taoyuan 32023, Taiwan.
Chung Yuan Christian University · TWMapúa University · PH

Funding

Ministry of Science and Technology, Taiwan MOST 106-2221-E-033-062-MY3Ministry of Science and Technology, Taiwan MOST 108-2218-E-033-007-MY3Ministry of Science and Technology, Taiwan MOST, 108-2622-E-197-011-CC3Ministry of Science and Technology, Taiwan MOST 108-2811-E-033-501
6 · The paper itself

Abstract

In this study, the basal spacing of montmorillonite (MMT) was modified through ion exchange. Two kinds of MMT were used: sodium-modified MMT (Na-MMT) and organo-modified MMT (O-MMT). These two particles were incorporated separately into the thin-film nanocomposite polyamide membrane through the interfacial polymerization of piperazine and trimesoyl chloride in n-hexane. The membrane with O-MMT (TFN

Indexed as

membrane separationmontmorillonitenanofiltrationpolyamidethin-film nanocomposite

Identifiers

PMID32357447
PMCPMC7281585
OpenAlexW3020247411

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.