Evidence map›Paper›PMID 42706233›Full record

ArticleNature communications2026

Low curvature combined with high amorphization improves SERS sensitivity of semiconducting Rh-Se mesoporous nanospheres toward non-adsorbing resistant pollutants.

Yunqing Kang, Olga Guselnikova, Lei Fu, Norman C-R Chen, José Julio Gutiérrez Moreno, Joel Henzie, Yuqi Guo, Xiangyang Liu, Yingji Zhao, Wei-Hsiang Huang and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2026. 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

18 authors.

Yunqing Kang *Department of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan. yunqing.kang@uq.edu.au.ORCID http://orcid.org/0000-0001-8719-5098
Olga Guselnikova *Institute of Applied Physics, Vienna University of Technology, Vienna, Austria. olga.guselnikova@tuwien.ac.at.ORCID http://orcid.org/0000-0002-2594-9605
Lei FuDepartment of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan.ORCID http://orcid.org/0000-0002-0575-6128
Norman C-R ChenDepartment of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
José Julio Gutiérrez MorenoBarcelona Supercomputing Center, Barcelona, Spain.
Joel HenzieResearch Center for Materials Nanoarchitectonics, National Institute for Materials Science (NIMS), Tsukuba, Japan.ORCID http://orcid.org/0000-0002-9190-2645
Yuqi GuoDepartment of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
Xiangyang LiuDepartment of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
Yingji ZhaoDepartment of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
Wei-Hsiang HuangNational Synchrotron Radiation Research Center (NSRRC), Hsinchu, Taiwan, ROC.ORCID http://orcid.org/0000-0001-9503-0373
Min-Hsin YehSustainable Electrochemical Energy Development (SEED) Center, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC.ORCID http://orcid.org/0000-0002-6150-4750
Yagmur TanisInstitute of Applied Physics, Vienna University of Technology, Vienna, Austria.ORCID http://orcid.org/0009-0000-3690-3314
Markus ValtinerInstitute of Applied Physics, Vienna University of Technology, Vienna, Austria.ORCID http://orcid.org/0000-0001-5410-1067
Stanislav JežekENVITES, spol. s r.o., Brno, Czechia.
Jun ZhouCenter of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an, PR China.ORCID http://orcid.org/0000-0001-5729-7261
Yusuke AsakuraDepartment of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan.
Kevin C-W WuInternational Graduate Program of Molecular Science and Technology (NTU-MST), National Taiwan University, Taipei, Taiwan, ROC.
Yusuke YamauchiDepartment of Materials Process Engineering, Graduate School of Engineering, Nagoya University, Nagoya, Japan. y.yamauchi@uq.edu.au.ORCID http://orcid.org/0000-0001-7854-927X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amorphous metal-selenium (M-Se) alloys hold promise for applications such as catalysis, electronics, and surface-enhanced Raman spectroscopy (SERS) sensing due to their surface reactivity, isotropic properties, and tunable bandgap. However, controlling the synthesis of nanostructured noble-metal-based M-Se materials is difficult, as the strong metallic bonding and low chemical reactivity of noble metals hinder homogeneous selenization. Here we show a one-step micellar self-assembly reduction method to produce amorphous semiconducting Rh-Se mesoporous nanospheres (a-Rh-Se MNs). We systematically investigate how composition, surface curvature, and crystallinity affect SERS performance. a-Rh-Se MNs with low curvature and high amorphization achieve enhanced sensitivity toward typically non-adsorbing, low-polarizability analytes, including hexachlorobenzene, anthracene, and polytetrafluoroethylene microplastics (even in wastewater). Combined experimental and theoretical analyses reveal that co-modulating curvature and amorphization tunes key electronic descriptors (e.g., d-band center and work function), thereby promoting resonant charge transfer. This finding overturns the conventional paradigm that prioritizes high-surface-area substrates. Our work establishes mesostructured a-Rh-Se for SERS applications and provides insights into M-Se surface chemistry for designing advanced SERS materials.

Identifiers

PMID42706233
PMCPMC13550441

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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.