Evidence map›Paper›PMID 38133045›Full record

ReviewNanomaterials (Basel, Switzerland)2023

3D Printed Integrated Sensors: From Fabrication to Applications-A Review.

Md Sahid Hassan, Saqlain Zaman, Joshua Z R Dantzler, Diana Hazel Leyva, Md Shahjahan Mahmud, Jean Montes Ramirez, Sofia Gabriela Gomez, Yirong Lin

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
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  7. Review
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  10. Article
  11. Article
  12. Article
  13. Review
  14. 3D-Printed MEMS in Italy.Micromachines · 2024
    Review
  15. Article
  16. Review
  17. 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

8 authors.

Md Sahid HassanDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0003-0466-5395
Saqlain ZamanDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0002-9003-9712
Joshua Z R DantzlerDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0009-0002-2755-3038
Diana Hazel LeyvaDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.
Md Shahjahan MahmudDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.
Jean Montes RamirezDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0001-9791-7605
Sofia Gabriela GomezDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.ORCID 0000-0002-7243-8349
Yirong LinDepartment of Aerospace and Mechanical Engineering, The University of Texas at El Paso, El Paso, TX 79968, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of 3D printed sensors into hosting structures has become a growing area of research due to simplified assembly procedures, reduced system complexity, and lower fabrication cost. Embedding 3D printed sensors into structures or bonding the sensors on surfaces are the two techniques for the integration of sensors. This review extensively discusses the fabrication of sensors through different additive manufacturing techniques. Various additive manufacturing techniques dedicated to manufacture sensors as well as their integration techniques during the manufacturing process will be discussed. This review will also discuss the basic sensing mechanisms of integrated sensors and their applications. It has been proven that integrating 3D printed sensors into infrastructures can open new possibilities for research and development in additive manufacturing and sensor materials for smart goods and the Internet of Things.

Indexed as

3D printingadditive manufacturingembedded sensorsensor integration

Identifiers

PMID38133045
PMCPMC10745374

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.