Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 191

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Photoinduced FeCl3‐Catalyzed Alkyl Aromatics Oxidation toward Degradation of Polystyrene at Room Temperature†

Zhang, Guoxiang, Zhang, Zongnan, Zeng, Rong·2021·Chinese Journal of Chemistry

Abstract

Main observation and conclusion: While polystyrene is widely used in daily life as a synthetic plastic, the subsequently selective degradation is still very challenging and highly required. Herein, we disclose a highly practical and selective reaction for the catalytically efficient oxidation of alkyl aromatics (including 1°, 2°, and 3° alkyl aromatics) to carboxylic acids. While dioxygen was used as the sole terminal oxidant, this protocol was catalyzed by the inexpensive and readily available ferric compound (FeCl 3) with irradiation of visible light (blue LEDs) under only 1 atmosphere of O 2 at room temperature. This system could further facilitate the selective degradation of polystyrene to benzoic acid, providing an important and practical tool to generate high‐value chemical from abundant polystyrene wastes.

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 · 10.1002/cjoc.202100420

Cites

5 of 5 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 5 references

Cited by

See all 191

Metadata

Authors
Zhang, G., Zhang, Z., & Zeng, R.
Venue
Chinese Journal of Chemistry
Publisher
Wiley
Published
2021-09-23
Volume
39
Issue
12
Pages
3225-3230
ISSN
  • 1001-604X (ISSN-L)
  • 1614-7065
OpenAlex
W3195748181
Cited by
191
References
5
FWCI
10.91
Type
journal article
Language
en
Open access
closed

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: Photoinduced FeCl3‐Catalyzed Alkyl Aromatics Oxidation toward Degradation of Polystyrene at Room Temperature†. https://app.cochat.ai/papers/10.1002/cjoc.202100420
The paper
Zhang, G., Zhang, Z., & Zeng, R. (2021). Photoinduced FeCl3‐Catalyzed Alkyl Aromatics Oxidation toward Degradation of Polystyrene at Room Temperature†. Chinese Journal of Chemistry. https://doi.org/10.1002/cjoc.202100420

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.