Evidence map›Paper›PMID 42268948›Full record

ArticleScience advances2026

High-energy-density aqueous magnesium metal battery textiles enable ultrasensitive pressure sensing across -40° to 100°C.

Ying Jia, Yu Chen, Jie Luo, Zhiqing Bai, Qingwen Li, Qichong Zhang

Abstract read
In one paragraph

Article in Science 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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Ying JiaKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.ORCID 0009-0005-8533-7167
Yu ChenKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.ORCID 0000-0003-0784-4751
Jie LuoKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.ORCID 0000-0001-5905-030X
Zhiqing BaiKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.ORCID 0009-0008-3864-3286
Qingwen LiKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.ORCID 0000-0001-8081-786X
Qichong ZhangKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China.ORCID 0000-0003-1627-3946

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart wearable sensing systems necessitate self-powered, high-sensitivity pressure sensors that can operate efficiently across a wide temperature range. Here, we present a high-energy-density aqueous magnesium metal battery (AMMB) textile for ultrasensitive pressure sensing from -40° to 100°C. The AMMB-type pressure (AMMB-P) sensing textile features a porous quasi-solid-state polyethylene oxide-magnesium chloride electrolyte that inhibits magnesium corrosion via hydrogen-bond anchoring, paired with a breathable carbon cloth cathode and woven magnesium anode. The innovative design achieves an ultrahigh sensitivity of 687.32 millivolts per kilopascal, a low detection limit (0.96 pascals), long-term durability (200,000 cycles), and exceptional breathability (water vapor permeability, 2281.4 ± 249.8 grams per square meter per day; air permeability, 628.0 ± 9.1 millimeters per second). The unique anticrystallization properties of electrolyte ensure a stable operation of the AMMB-P sensing textile in extreme temperatures ranging from -40° to 100°C. Under high-pressure condition, our AMMB-P sensing textile can be converted into a reliable power source with high energy density of 287.92 watt-hours per kilogram, ensuring stable self-powered operation. Coupled with machine learning, the AMMB-P sensing array enables intelligent object recognition and autonomous robotic control even under harsh conditions. Our work advances self-powered pressure-sensing textiles tailored for extreme-environment exploration, enabling interactive perception in humanoid robots and individual health management under harsh service conditions.

Identifiers

PMID42268948
PMCPMC13251830

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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.