Evidence map›Paper›PMID 37351461›Full record

ArticleACS sustainable chemistry & engineering2023

Circular Economy Electrochemistry: Recycling Old Mixed Material Additively Manufactured Sensors into New Electroanalytical Sensing Platforms.

Robert D Crapnell, Evelyn Sigley, Rhys J Williams, Tom Brine, Alejandro Garcia-Miranda Ferrari, Cristiane Kalinke, Bruno C Janegitz, Juliano A Bonacin, Craig E Banks

Abstract read
In one paragraph

Article in ACS sustainable chemistry & engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

9 authors.

Robert D CrapnellFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, U.K.
Evelyn SigleyFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, U.K.
Rhys J WilliamsFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, U.K.
Tom BrineFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, U.K.
Alejandro Garcia-Miranda FerrariFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, U.K.ORCID https://orcid.org/0000-0003-1797-1519
Cristiane KalinkeFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, U.K.
Bruno C JanegitzDepartment of Nature Sciences, Mathematics, and Education, Federal University of São Carlos (UFSCar), 13600-970 Araras, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-9707-9795
Juliano A BonacinInstitute of Chemistry, University of Campinas (Unicamp), 13083-859 São Paulo, Brazil.
Craig E BanksFaculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, U.K.ORCID https://orcid.org/0000-0002-0756-9764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recycling used mixed material additively manufactured electroanalytical sensors into new 3D-printing filaments (both conductive and non-conductive) for the production of new sensors is reported herein. Additively manufactured (3D-printed) sensing platforms were transformed into a non-conductive filament for fused filament fabrication through four different methodologies (granulation, ball-milling, solvent mixing, and thermal mixing) with thermal mixing producing the best quality filament, as evidenced by the improved dispersion of fillers throughout the composite. Utilizing this thermal mixing methodology, and without supplementation with the virgin polymer, the filament was able to be cycled twice before failure. This was then used to process old sensors into an electrically conductive filament through the addition of carbon black into the thermal mixing process. Both recycled filaments (conductive and non-conductive) were utilized to produce a new electroanalytical sensing platform, which was tested for the cell's original application of acetaminophen determination. The fully recycled cell matched the electrochemical and electroanalytical performance of the original sensing platform, achieving a sensitivity of 22.4 ± 0.2 μA μM

Identifiers

PMID37351461
PMCPMC10284352

What OpenQuestion holds

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LicenceCC BY
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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.