Evidence map›Paper›PMID 41788380›Full record

ArticleRSC advances2026

Ion transport for simultaneous nickel electrodeposition and sulfuric acid recovery in single-membrane, dual-chamber electrolyzers.

Qiaoling Xian, Jian Zhou, Hongyi Liu, Chao Guo, Yan Lu, Xinyang Zhou

Abstract read
In one paragraph

Article in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Qiaoling XianSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University Lanzhou 730070 China zhoujian@lzjtu.edu.cn.
Jian ZhouSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University Lanzhou 730070 China zhoujian@lzjtu.edu.cn.ORCID https://orcid.org/0009-0008-6276-1047
Hongyi LiuSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University Lanzhou 730070 China zhoujian@lzjtu.edu.cn.
Chao GuoSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University Lanzhou 730070 China zhoujian@lzjtu.edu.cn.
Yan LuSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University Lanzhou 730070 China zhoujian@lzjtu.edu.cn.
Xinyang ZhouSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University Lanzhou 730070 China zhoujian@lzjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces an effective single-membrane, dual-cell electrolysis system designed to overcome the limitations of conventional cloth-type membrane bag electrolysis, such as low current efficiency, high energy consumption, and poor product purity. The proposed process enables simultaneous recovery of nickel and sulfuric acid from nickel-rich wastewater. The ion transport behavior is elucidated by comparing the electrolytic performance of five different anion exchange membranes (IONSEP, LanRan, ACM, FAA, and AMV) and analyzing the dynamic changes in ion composition within the anode and cathode chambers. Scanning electron microscopy and X-ray diffraction techniques are employed to characterize the morphological and structural properties of the resulting nickel deposits. The findings reveal that the optimal electrolysis duration is 4 h. Among the tested membranes, the AMV membrane exhibits the best performance, achieving a cathodic current efficiency of 98.5%, energy consumption of 5945.8 kWh per tonne, and anodic sulfuric acid concentration of 38.1 g L

Identifiers

PMID41788380
PMCPMC12958438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.