Evidence map›Paper›PMID 35329563›Full record

ReviewMaterials (Basel, Switzerland)2022

Recent Advancements in the Fabrication of Functional Nanoporous Materials and Their Biomedical Applications.

Matthew Hadden, David Martinez-Martin, Ken-Tye Yong, Yogambha Ramaswamy, Gurvinder Singh

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
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.

Matthew HaddenThe School of Biomedical Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
David Martinez-MartinThe School of Biomedical Engineering, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-3658-9393
Ken-Tye YongThe School of Biomedical Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
Yogambha RamaswamyThe School of Biomedical Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
Gurvinder SinghThe School of Biomedical Engineering, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0001-9700-3344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional nanoporous materials are categorized as an important class of nanostructured materials because of their tunable porosity and pore geometry (size, shape, and distribution) and their unique chemical and physical properties as compared with other nanostructures and bulk counterparts. Progress in developing a broad spectrum of nanoporous materials has accelerated their use for extensive applications in catalysis, sensing, separation, and environmental, energy, and biomedical areas. The purpose of this review is to provide recent advances in synthesis strategies for designing ordered or hierarchical nanoporous materials of tunable porosity and complex architectures. Furthermore, we briefly highlight working principles, potential pitfalls, experimental challenges, and limitations associated with nanoporous material fabrication strategies. Finally, we give a forward look at how digitally controlled additive manufacturing may overcome existing obstacles to guide the design and development of next-generation nanoporous materials with predefined properties for industrial manufacturing and applications.

Indexed as

additive manufacturingdealloyinghierarchical nanoporousnanoporositynanoporous materials

Identifiers

PMID35329563
PMCPMC8950633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.