Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 551

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Degradation of Cosmetic Microplastics via Functionalized Carbon Nanosprings

Open access
Kang, Jian, Zhou, Li, Duan, Xiaoguang, Sun, Hongqi, Ao, Zhimin, Wang, Shaobin·2019·Matter

Abstract

Summary Microplastics (MPs) pollution in household wastewater and global aquatic systems has become an emerging issue and potential threat to marine life and human health. However, advanced technologies for efficient MPs control and purification remain largely underdeveloped. Herein, we present integrated carbocatalytic oxidation and hydrothermal (HT) hydrolysis of microplastics over magnetic spring-like carbon nanotubes. The robust carbon hybrids exhibited an outstanding MPs degradation performance by catalytic activation of peroxymonosulfate to generate reactive radicals. The spiral architecture and highly graphitic degree guaranteed the superb stability of the carbocatalysts in HT environment. The toxicity tests indicated that the organic intermediates from MPs degradation were environmentally benign to the aquatic microorganisms and can serve as a carbon source for algae cultivation. The outcomes of this study are dedicated to providing a green strategy by integrating state-of-the-art carbocatalysis and nanotechnology for remediation of MPs contamination in water.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.matt.2019.06.004

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 9 references

Cited by

See all 551

Metadata

Authors
Kang, J., Zhou, L., Duan, X., Sun, H., Ao, Z., & Wang, S.
Venue
Matter
Publisher
Elsevier BV
Published
2019-09
Volume
1
Issue
3
Pages
745-758
ISSN
2590-2385 (ISSN-L)
OpenAlex
W2965662168
Cited by
551
References
9
FWCI
17.52
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Degradation of Cosmetic Microplastics via Functionalized Carbon Nanosprings. https://app.cochat.ai/papers/10.1016/j.matt.2019.06.004
The paper
Kang, J., Zhou, L., Duan, X., Sun, H., Ao, Z., & Wang, S. (2019). Degradation of Cosmetic Microplastics via Functionalized Carbon Nanosprings. Matter. https://doi.org/10.1016/j.matt.2019.06.004

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.