Evidence map›Paper›PMID 41006219›Full record

ArticleNature communications2025

In-situ detection of pH and dissolved oxygen in electrolyte of aqueous zinc-ion batteries.

Bichu Luo, Biao Jiang, Fangyuan Chang, Xin Xi, Sheng Lu, Dongqing Wu, Yuezeng Su, Guangyu Cheng, Yueni Mei, Ruili 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Bichu LuoSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China.
Biao JiangDepartment of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China.
Fangyuan ChangSchool of Design, Shanghai Jiao Tong University, Shanghai, China.
Xin XiSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China.
Sheng LuSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China.
Dongqing WuSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0003-4975-6178
Yuezeng SuSchool of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China. yzsu@sjtu.edu.cn.
Guangyu ChengState Key Laboratory of Space Power-Sources, Shanghai Institute of Space Power-Sources, Shanghai, China.
Yueni MeiState Key Laboratory of Space Power-Sources, Shanghai Institute of Space Power-Sources, Shanghai, China.
Ruili LiuDepartment of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China. ruililiu@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-7350-8428

Funding

China Postdoctoral Science Foundation 2022M710096China Postdoctoral Science Foundation 2022TQ0211National Natural Science Foundation of China (National Science Foundation of China) 52271347National Natural Science Foundation of China (National Science Foundation of China) 61974091National Natural Science Foundation of China (National Science Foundation of China) 62074096National Natural Science Foundation of China (National Science Foundation of China) 62204153Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 24ZR1437800
6 · The paper itself

Abstract

Electrode corrosion and electrolyte decomposition in aqueous zinc-ion batteries (AZIBs) have significant impacts on their capacity, stability, and lifespan. Herein, a portable extended gate field-effect transistor (EGFET)-pH & dissolved oxygen (DO) sensor is constructed for in-situ monitoring of these adverse reactions in AZIBs. The EGFET-pH & DO sensor separates the sensitive electrodes from the detection circuitry, which gives the sensor high stability in aqueous solutions and enables its integration into pouch-type AZIBs. The high sensitivity and robustness of the sensor facilitate the real-time investigation of the variations of pH and DO concentration in the electrolyte of AZIBs at different charging voltage ranges, as well as evaluation of the effects of electrolyte additives on the battery performance. This work expands the electrochemical sensing technique for in-situ monitoring of secondary batteries, enhances the understanding of energy storage mechanisms for AZIBs, and provides reliable data support for battery optimization.

Identifiers

PMID41006219
PMCPMC12474895

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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.