Evidence map›Paper›PMID 33718722›Full record

ArticleACS omega2021

Shedding Light on Miniaturized Dialysis Using MXene 2D Materials: A Computational Chemistry Approach.

Pegah Zandi, Ebrahim Ghasemy, Mohammad Khedri, Alimorad Rashidi, Reza Maleki, Ahmad Miri Jahromi

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

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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.

Pegah ZandiSchool of Metallurgy and Materials Engineering, College of Engineering, University of Tehran, Tehran 1417466191, Iran.
Ebrahim GhasemyNanotechnology Department, School of New Technologies, Iran University of Science and Technology, Tehran 1684613114, Iran.
Mohammad KhedriDepartment of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 1591634311, Iran.
Alimorad RashidiNanotechnology Research Center, Research Institute of Petroleum Industry (RIPI), Tehran 1485733111, Iran.
Reza MalekiComputational Biology and Chemistry Group (CBCG), Universal Scientific Education and Research Network (USERN), Tehran 1449614535, Iran.
Ahmad Miri JahromiComputational Biology and Chemistry Group (CBCG), Universal Scientific Education and Research Network (USERN), Tehran 1449614535, Iran.
Universal Scientific Education and Research Network · IRAmirkabir University of Technology · IRIran University of Science and Technology · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Materials science can pave the way toward developing novel devices at the service of human life. In recent years, computational materials engineering has been promising in predicting material performance prior to the experiments. Herein, this capability has been carefully employed to tackle severe problems associated with kidney diseases through proposing novel nanolayers to adsorb urea and accordingly causing the wearable artificial kidney (WAK) to be viable. The two-dimensional metal carbide and nitride (MXene) nanosheets can leverage the performance of various devices since they are highly tunable along with fascinating surface chemistry properties. In this study, molecular dynamics (MD) simulations were exploited to investigate the interactions between urea and different MXene nanosheets. To this end, detailed analyses were performed that clarify the suitability of these nanostructures in urea adsorption. The atomistic simulations were carried out on Mn

Identifiers

PMID33718722
PMCPMC7948252
OpenAlexW3134229191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.