Evidence map›Paper›PMID 41112863›Full record

ArticleACS nanoscience Au2025

Spatial Composition Influenced by Solvent in High-Entropy Alloy Nanoparticle Synthesis via Polyol Reduction.

Nikhil Rai, Gengnan Li, Jianguo Wen, Subramanian Sankaranarayanan, Arunkumar Subramanian, Xiao-Min Lin

Abstract read
In one paragraph

Article in ACS nanoscience Au, 2025. 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

6 authors.

Nikhil RaiDepartment of Mechanical and Industrial Engineering, University of Illinois Chicago, 842 West Taylor Street, Chicago, Illinois 60607, United States.
Gengnan LiCenter for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0003-0596-0126
Jianguo WenCenter for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0002-3755-0044
Subramanian SankaranarayananDepartment of Mechanical and Industrial Engineering, University of Illinois Chicago, 842 West Taylor Street, Chicago, Illinois 60607, United States.
Arunkumar SubramanianDepartment of Mechanical and Industrial Engineering, University of Illinois Chicago, 842 West Taylor Street, Chicago, Illinois 60607, United States.ORCID https://orcid.org/0000-0001-8779-391X
Xiao-Min LinCenter for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0002-2879-3474

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of nanoparticles in catalytic reactions depends critically on their surface composition. In a multielemental system, this issue becomes even more important. Here, we report that the choice of solvent in polyol reduction synthesis of high entropy alloy (HEA) nanoparticles can have a subtle but significant influence on the elemental distribution near the surface of individual nanoparticles. Our study reveals that long-chain polyethylene glycol typically produces a more uniform multielement distribution within a nanoparticle than short-chain triethylene glycol under identical experimental conditions. We performed electrochemical reduction of metal salts in both solvents to understand the reduction kinetics of metal salts, which shows that a solvent capable of improving the co-reduction of metal salts leads to the synthesis of more homogenized nanoparticles, whereas a solvent with a varying degree of reduction potency will lead to inhomogeneous elemental distribution in an HEA nanoparticle.

Indexed as

CatalystHigh-entropy alloyNanoparticlePolyol reductionSurface segregation

Identifiers

PMID41112863
PMCPMC12532059

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.