Evidence map›Paper›PMID 31824230›Full record

ArticleElectrochemistry communications2019

"Self-cleaning" electrochemical regeneration of dye-loaded activated carbon.

Wei Zhou, Xiaoxiao Meng, Yani Ding, Ljiljana Rajic, Jihui Gao, Yukun Qin, Akram N Alshawabkeh

Open access · goldAbstract read
In one paragraph

Article in Electrochemistry communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Polarity reversal for enhancedElectrochimica acta · 2023
    Article
  5. Electrochimica acta · 2023
    Article
  6. Review
  7. Heterogeneous Fenton-Like Catalysis of Electrogenerated HFrontiers in chemical engineering · 2022
    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

7 authors at 3 institutions in 2 countries.

Wei ZhouSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
Xiaoxiao MengSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
Yani DingSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
Ljiljana RajicPioneer Valley Coral and Natural Science Institute, Hadley, Massachusetts 01035, United States.
Jihui GaoSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
Yukun QinSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, P. R. China.
Akram N AlshawabkehDepartment of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States.
Harbin Institute of Technology · CNNortheastern University · USPioneer (United States) · US

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI ALSHAWABKEH, AKRAM N · 2010 to 2024
$38.6M
NIEHS NIH HHS P42 ES017198
6 · The paper itself

Abstract

A low maintenance, "self-cleaning" electrochemical approach is evaluated for regeneration of dye-loaded granular activated carbon (GAC). To do so, batch experiments were conducted using a low-cost granular activated carbon/stainless steel mesh (GACSS) composite cathode and a stable Ti/mixed metal oxides (Ti/MMO) anode without the addition of oxidants or iron catalysts. The GACSS cathode supports simultaneous H

Indexed as

Activated carbonElectro-FentonHydrogen peroxideHydroxyl radicalsRegeneration

Identifiers

PMID31824230
PMCPMC6903700
OpenAlexW2911821734

What OpenQuestion holds

Textmetadata
LicenceTDM
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.