Evidence map›Paper›PMID 40210654›Full record

ArticleNature communications2025

Pulsed electrosynthesis of glycolic acid through polyethylene terephthalate upcycling over a mesoporous PdCu catalyst.

Shu Han, Lizhi Sun, Dongping Fan, Ben Liu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Direct Electrosynthesis of Glycolate From Carbon Dioxide.Angewandte Chemie (International ed. in English) · 2026
    Article
  2. Mesoporous Anti-Perovskite CuNiAngewandte Chemie (International ed. in English) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

4 authors.

Shu HanKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, China.
Lizhi SunKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, China. lizhisun@scu.edu.cn.
Dongping FanKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, China.
Ben LiuKey Laboratory of Green Chemistry and Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu, China. ben.liu@scu.edu.cn.ORCID http://orcid.org/0000-0003-1305-5900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrocatalytic upcycling of polyethylene terephthalate (PET) plastics offers a promising and sustainable route that not only addresses serious waste pollution but also produces high value-added chemicals. Despite some important achievements, their activity and selectivity have been slower than needed. In this work, pulsed electrocatalysis is employed to engineer chemisorption properties on a lamellar mesoporous PdCu (LM-PdCu) catalyst, which delivers high activity and stability for selective electrosynthesis of high value-added glycolic acid (GA) from PET upcycling under ambient conditions. LM-PdCu is synthesized by in situ nucleation and attachment strategy along assembled lamellar templates, whose stacked morphology and lamellar mesoporous structure kinetically accelerate selective desorption of GA and expose fresh active sites of metal catalysts for continuous electrocatalysis at pulsed mode. This strategy thus delivers GA Faraday efficiency of >92% in wide potential windows, yield rate of reaching 0.475 mmol cm

Identifiers

PMID40210654
PMCPMC11985915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.