Evidence map›Paper›PMID 38689655›Full record

ArticleChem & bio engineering2024

3D-Printing of Hierarchical Porous Copper-Based Metal-Organic-Framework Structures for Efficient Fixed-Bed Catalysts.

Ruizhe Xing, Renliang Huang, Rongxin Su, Jie Kong, Michael D Dickey, Wei Qi

Abstract read
In one paragraph

Article in Chem & bio engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. 3D/4D Printing.Chem & bio engineering · 2026
    Article
  4. Biomass valorization using 3D-printed catalysts.Communications chemistry · 2025
    Review
  5. Review
  6. 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

6 authors.

Ruizhe XingSchool of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China.
Renliang HuangSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, P. R. China.ORCID https://orcid.org/0000-0003-0797-3473
Rongxin SuSchool of Marine Science and Technology, Tianjin University, Tianjin 300072, P. R. China.ORCID https://orcid.org/0000-0001-9778-9113
Jie KongSchool of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China.ORCID https://orcid.org/0000-0002-9405-3204
Michael D DickeyDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States.ORCID https://orcid.org/0000-0003-1251-1871
Wei QiSchool of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China.ORCID https://orcid.org/0000-0002-7378-1392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metallic structures with hierarchical open pores that span several orders of magnitude are ideal candidates for various catalyst applications. However, porous metal materials prepared using alloy/dealloy methods still struggle to achieve continuous pore distribution across a broad size range. Herein, we report a printable copper (Cu)/iron (Fe) composite ink that produces a hierarchical porous Cu material with pores spanning over 4 orders of magnitude. The manufacturing process involves four steps: 3D-printing, annealing, dealloying, and reannealing. Because of the unique annealing process, the resulting hierarchical pore surface becomes coated with a layer of Cu-Fe alloy. This feature imparts remarkable catalytic ability and versatile functionality within fixed bed reactors for 4-nitrophenol (4-NP) reduction and Friedländer cyclization. Specifically, for 4-NP reduction, the porous Cu catalyst demonstrates an excellent reaction rate constant (

Identifiers

PMID38689655
PMCPMC11056925

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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.