Evidence map›Paper›PMID 37234558›Full record

ArticleJournal of environmental chemical engineering2023

Dry-spun carbon nanotube ultrafiltration membranes tailored by anti-viral metal oxide coatings for human coronavirus 229E capture in water.

Ahmed O Rashed, Chi Huynh, Andrea Merenda, Julio Rodriguez-Andres, Lingxue Kong, Takeshi Kondo, Joselito M Razal, Ludovic F Dumée

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of environmental chemical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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

8 authors at 4 institutions in 2 countries.

Ahmed O RashedDeakin University, Geelong, Institute for Frontier Materials, 3216 Waurn Ponds, Victoria, Australia.
Chi HuynhLINTEC OF AMERICA, INC. Nano-Science and Technology Center, 2900 E. Plano Pkwy. Suite 100, Plano, TX 75074, United States.
Andrea MerendaSchool of Science, RMIT University, 124 La Trobe Street, Melbourne, VIC 3000, Australia.
Julio Rodriguez-AndresThe Peter Doherty Institute, the University of Melbourne, Victoria 3010, Australia.
Lingxue KongDeakin University, Geelong, Institute for Frontier Materials, 3216 Waurn Ponds, Victoria, Australia.
Takeshi KondoLINTEC OF AMERICA, INC. Nano-Science and Technology Center, 2900 E. Plano Pkwy. Suite 100, Plano, TX 75074, United States.
Joselito M RazalDeakin University, Geelong, Institute for Frontier Materials, 3216 Waurn Ponds, Victoria, Australia.
Ludovic F DuméeKhalifa University, Department of Chemical Engineering, Abu Dhabi, United Arab Emirates.
Deakin University · AUKhalifa University of Science and Technology · AERMIT University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although waterborne virus removal may be achieved using separation membrane technologies, such technologies remain largely inefficient at generating virus-free effluents due to the lack of anti-viral reactivity of conventional membrane materials required to deactivating viruses. Here, a stepwise approach towards simultaneous filtration and disinfection of Human Coronavirus 229E (HCoV-229E) in water effluents, is proposed by engineering dry-spun ultrafiltration carbon nanotube (CNT) membranes, coated with anti-viral SnO

Indexed as

Antiviral metal oxide coatingsCarbon nanotube membraneFast water permeationHuman Coronavirus 229EVirus ultrafiltration

Identifiers

PMID37234558
PMCPMC10201849
OpenAlexW4377229906

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.