Evidence map›Paper›PMID 34708680›Full record

ReviewWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2022

Towards circular economy in the textiles and clothing value chain through blockchain technology and IoT: A review.

Luís Alves, Estrela Ferreira Cruz, Sérgio I Lopes, Pedro M Faria, António Miguel Rosado da Cruz

Abstract readReview
In one paragraph

Review in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

5 authors.

Luís AlvesIPVC - Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal.
Estrela Ferreira CruzIPVC - Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal.
Sérgio I LopesIPVC - Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal.
Pedro M FariaIPVC - Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal.
António Miguel Rosado da CruzIPVC - Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal.ORCID https://orcid.org/0000-0003-3883-1160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The textile and clothing industry sector has today a big environmental impact, not only due to the consumption of water and the use of toxic chemicals but also due to the increasing levels of textile waste. One way to reduce the problem is to circularise the, currently linear, textile and clothing value chain, by using discarded clothes as raw material for the production of new clothes, transforming it into a model of circular economy. This way, while reducing the need to produce new raw materials (e.g. cotton), the problem of textile waste produced is also reduced, thus contributing to a more sustainable industry. In this article, we review the current approaches for traceability in the textile and clothing value chain, and study a set of technologies we deem essential for promoting the circular economy in this value chain - namely, the blockchain technology - for registering activities on traceable items through the value chain, and the Internet of Things (IoT) technology, for easily identifying the traceable items' digital twins.

Indexed as

BlockchainInternet of ThingsIndustryTechnologyTextilesblockchainBPMNCircular economyIoTsustainabilitytextiles and clothing value chaintraceability

Identifiers

PMID34708680
PMCPMC8832563

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.