Evidence map›Paper›PMID 36904570›Full record

ReviewSensors (Basel, Switzerland)2023

Application of 3D Printing Technology in Sensor Development for Water Quality Monitoring.

Yifan Sun, Dunzhu Li, Yunhong Shi, Zeena Wang, Saviour I Okeke, Luming Yang, Wen Zhang, Zihan Zhang, Yanqi Shi, Liwen Xiao

Full text readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Yifan SunDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.ORCID 0000-0002-0347-9737
Dunzhu LiDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Yunhong ShiDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Zeena WangDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Saviour I OkekeDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.ORCID 0000-0002-1664-4949
Luming YangDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Wen ZhangDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Zihan ZhangDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Yanqi ShiDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Liwen XiaoDepartment of Civil, Structural and Environmental Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.

Funding

Enterprise Ireland CF-2021-1729-I
6 · The paper itself

Abstract

The development of sensors for water quality monitoring is crucial to protect water quality, aquatic biota and human health. Traditional sensor manufacturing methods have significant drawbacks, such as low fabrication freedom, limited material choice and expensive manufacturing cost. As a possible alternative method, 3D printing technologies are increasingly popular in sensor development due to their high versatility, fast fabrication/modification, powerful processing of different materials and ease of incorporation with other sensor systems. Surprisingly, a systematic review examining the application of 3D printing technology in water monitoring sensors has not yet been conducted. Here, we summarized the development history, market share and advantages/disadvantages of typical 3D printing techniques. Specifically focused on the 3D-printed sensor for water quality monitoring, we then reviewed the applications of 3D printing in the development of sensors' supporting platform, cell, sensing electrode as well as all-3D-printed sensors. The fabrication materials and processing, and the sensor's performances regarding detected parameters, response time and detection limit/sensitivity, were also compared and analyzed. Finally, the current drawbacks of 3D-printed water sensors and potential directions for future study were discussed. This review will substantially promote the understanding of 3D printing technology used in water sensor development and benefit the protection of water resources.

Indexed as

3D printingfabrication materialfloating platformsensing electrodesensorwater quality monitoring

Identifiers

PMID36904570
PMCPMC10007434

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read19
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.