Evidence map›Paper›PMID 36703481›Full record

ArticleCommunications chemistry2020

Metallically gradated silicon nanowire and palladium nanoparticle composites as robust hydrogenation catalysts.

Yoichi M A Yamada, Heeyoel Baek, Takuma Sato, Aiko Nakao, Yasuhiro Uozumi

Abstract read
In one paragraph

Article in Communications chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

5 authors.

Yoichi M A YamadaRIKEN Center for Sustainable Resource Science, Wako, Saitama, 351-0198, Japan. ymayamada@riken.jp.ORCID http://orcid.org/0000-0002-3901-5926
Heeyoel BaekRIKEN Center for Sustainable Resource Science, Wako, Saitama, 351-0198, Japan.
Takuma SatoRIKEN Center for Sustainable Resource Science, Wako, Saitama, 351-0198, Japan.
Aiko NakaoBioengineering Laboratory, RIKEN, Wako, Saitama, 351-0198, Japan.
Yasuhiro UozumiInstitute for Molecular Science (IMS), Okazaki, Aichi, 444-8787, Japan.ORCID http://orcid.org/0000-0001-6805-3422

Funding

Japan Agency for Medical Research and Development (AMED) 19ak0101115hMEXT | Japan Society for the Promotion of Science (JSPS) #24550126, #20655035, #15K05510MEXT | JST | Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values (ACCEL) JPMJAC1401MEXT | JST | Creations of Advanced Catalytic Transformation for the Sustainable Manufacturing at Low Energy, Low Environmental Load (ACT-C) JPMJCR12ZC
6 · The paper itself

Abstract

Heterogeneous catalysis of alkenes to alkanes is of great importance in chemical industry, but more efficient and reusable heterogeneous catalysts are still demanded. Here, we report a metallically gradated composite of a silicon nanowire array and palladium nanoparticles which are reused for the hydrogenation of an alkene. The catalyst promotes the hydrogenation of stilbene with atmospheric hydrogen (0.1 MPa) to give diphenylethane quantitatively. The recovered catalyst can be reused, and mediates the reaction without loss of yield more than one hundred times, whereas the stability of Pd/C degrades rapidly over 10 cycles of reuse. The catalyst allows the hydrogenation of a variety of alkenes, including tetra-substituted olefins. Structural investigation reveals that palladium nanoparticles are metallically gradated onto the silicon nanowire array under mild conditions by agglomeration of palladium silicide, as confirmed by XAFS and XPS together with argon-ion sputtering. This means of metal agglomeration immobilization may be applicable to the preparation of a variety of metal nanoparticle catalysts.

Identifiers

PMID36703481
PMCPMC9814402

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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.