Evidence map›Paper›PMID 32012830›Full record

ReviewSensors (Basel, Switzerland)2020

Recent Progress in 3D Printed Mold-Based Sensors.

Shan He, Shilun Feng, Anindya Nag, Nasrin Afsarimanesh, Tao Han, Subhas Chandra Mukhopadhyay

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  7. Article
  8. 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

6 authors.

Shan HeSchool of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China.
Shilun FengSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Anindya NagDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523808, China.
Nasrin AfsarimaneshDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523808, China.
Tao HanDGUT-CNAM Institute, Dongguan University of Technology, Dongguan 523808, China.ORCID 0000-0002-8422-9288
Subhas Chandra MukhopadhyaySchool of Engineering, Macquarie University, Sydney 2109, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper presents a review of some of the significant research done on 3D printed mold-based sensors performed in recent times. The utilization of the master molds to fabricate the different parts of the sensing prototypes have been followed for quite some time due to certain distinct advantages. Some of them are easy template preparation, easy customization of the developed products, quick fabrication, and minimized electronic waste. The paper explains the different kinds of sensors and actuators that have been developed using this technique, based on their varied structural dimensions, processed raw materials, designing, and product testing. These differences in the attributes were based on their individualistic application. Furthermore, some of the challenges related to the existing sensors and their possible respective solutions have also been mentioned in the paper. Finally, a market survey has been provided, stating the estimated increase in the annual growth of 3D printed sensors. It also states the type of 3D printing that has been preferred over the years, along with the range of sensors, and their related applications.

Indexed as

3D printingcastingmicrocontactmoldsensors

Identifiers

PMID32012830
PMCPMC7038493

What OpenQuestion holds

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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.