Evidence map›Paper›PMID 33673625›Full record

ReviewPolymers2021

Realization of Circular Economy of 3D Printed Plastics: A Review.

Caihan Zhu, Tianya Li, Mohamedazeem M Mohideen, Ping Hu, Ramesh Gupta, Seeram Ramakrishna, Yong Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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

7 authors.

Caihan ZhuCollege of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Tianya LiCollege of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
Mohamedazeem M MohideenCollege of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0003-1781-306X
Ping HuDepartment of Chemical Engineering, Tsinghua University, Beijing 100084, China.
Ramesh GuptaSchool of Agricultural Sciences and Rural Development, Nagaland University, Medziphema 797106, India.
Seeram RamakrishnaNanoscience and Nanotechnology Initiative, National University of Singapore, Singapore 11576, Singapore.ORCID 0000-0001-8479-8686
Yong LiuCollege of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.ORCID 0000-0001-5562-7757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D printing technology is a versatile technology. The waste of 3D printed plastic products is a matter of concern because of its impact on the circular economy. In this paper, we discuss the current status and problems of 3D printing, different methods of 3D printing, and applications of 3D printing. This paper focuses on the recycling and degradation of different 3D printing materials. The degradation, although it can be done without pollution, has restrictions on the type of material and time. Degradation using ionic liquids can yield pure monomers but is only applicable to esters. The reprocessing recycling methods can re-utilize the excellent properties of 3D printed materials many times but are limited by the number of repetitions of 3D printed materials. Although each has its drawbacks, the great potential of the recycling of 3D printed waste plastics is successfully demonstrated with examples. Various recycling approaches provide the additional possibility of utilizing 3D printing waste to achieve more efficient circular application.

Indexed as

3D printingbiodegradationcatalytic degradationcircular economy

Identifiers

PMID33673625
PMCPMC7957743

What OpenQuestion holds

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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.