Evidence map›Paper›PMID 36987174›Full record

ArticlePolymers2023

Study on the Extraction Method of Microplastic System in Textile Wastewater.

Jiachen Li, Yuanyuan Liu, Yingxi Gao, Xin Li, Yan Gong

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 17% of its field
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

2 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Jiachen LiSchool of Materials Design and Engineering, Beijing Institute of Fashion Technology, Beijing 100029, China.
Yuanyuan LiuSchool of Materials Design and Engineering, Beijing Institute of Fashion Technology, Beijing 100029, China.
Yingxi GaoSchool of Materials Design and Engineering, Beijing Institute of Fashion Technology, Beijing 100029, China.
Xin LiSchool of Materials Design and Engineering, Beijing Institute of Fashion Technology, Beijing 100029, China.ORCID 0000-0003-1951-985X
Yan GongSchool of Materials Design and Engineering, Beijing Institute of Fashion Technology, Beijing 100029, China.
Beijing Institute of Fashion Technology · CN

Funding

Beijing Institute of Fashion Technology 120301990131
6 · The paper itself

Abstract

Microplastic pollution has become a global environmental problem. Textile microplastics are an important component of microplastic pollution, but little is known about their contamination in the industrial environment. The lack of standardized methods for detecting and quantifying textile microplastics is a major obstacle to determining the risks they pose to the natural environment. This study systematically examines the pretreatment options for the extraction of microplastics from printing and dyeing wastewater. The effectiveness of potassium hydroxide, nitric acid-hydrogen peroxide mixed solution, hydrogen peroxide, and Fenton's reagent for the removal of organic matter from textile wastewater is compared. Three textile microplastics, polyethylene terephthalate, polyamide, and polyurethane, are studied. The effects of the digestion treatment on the physicochemical properties of textile microplastics are characterized. The separation efficiency of sodium chloride, zinc chloride, sodium bromide, sodium iodide, and sodium chloride-sodium iodide mixed solution on the textile microplastics is tested. The results showed that Fenton's reagent achieved a 78% removal rate of organic matter from printing and dyeing wastewater. Meanwhile, it has less of an effect on the physicochemical properties of textile microplastics after digestion and is the best reagent for digestion. The zinc chloride solution achieved a 90% recovery for separating textile microplastics with good reproducibility. It does not affect the subsequent characterization analysis after separation and is the best solution for density separation.

Indexed as

density separationdetection and analysisdigestionmicroplasticsprinting and dyeing wastewater

Identifiers

PMID36987174
PMCPMC10051233
OpenAlexW4324066113

What OpenQuestion holds

Textmetadata
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.