Evidence map›Paper›PMID 42411017›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Bioinspired Rheological Sensing for Robotic Liquid Identification in Sealed Containers via Ultrafast Incipient Slip Detection.

Huiwen Ren, Wangyang Li, Hexin Li, Jialu Li, Yanan Ding, Yuming Feng, Jianyang Li, Hongying Yang, Li Jiang, Hong Liu and 1 more

Abstract read
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In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

11 authors.

Huiwen RenKey Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology Harbin, Harbin, China.
Wangyang LiSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China.
Hexin LiSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China.
Jialu LiSchool of Materials Science and Engineering, Harbin Institute of Technology, Harbin, China.
Yanan DingKey Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology Harbin, Harbin, China.
Yuming FengKey Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology Harbin, Harbin, China.ORCID https://orcid.org/0000-0001-5716-4610
Jianyang LiKey Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology Harbin, Harbin, China.
Hongying YangKey Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology Harbin, Harbin, China.
Li JiangSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China.
Hong LiuSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China.
PingAn HuKey Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education, Harbin Institute of Technology Harbin, Harbin, China.ORCID https://orcid.org/0000-0003-3499-2733

Funding

National Natural Science Foundation of China 52372042National Natural Science Foundation of China under the Basic Science Center Program for "Space Robot Intelligent Manipulation" T2388101
6 · The paper itself

Abstract

The rapid, non-invasive identification of sealed liquids is crucial for ensuring counter-terrorism security and improving operational efficiency in various scenarios such as airports and large-scale events. Existing technologies are limited by invasive procedures or reliance on vision. In this research, we developed a bioinspired iontronic tactile sensor with an interlocked "protrusion-groove" structure. Its unique biomimetic structure allows for the detection of static pressure and incipient slip within a single device, with a peak sensitivity of up to 1873.83 kPa

Indexed as

biomimetic tactile sensingincipient slipiontronic sensornon‐invasive liquid identificationrobotic tactile intelligence

Identifiers

PMID42411017
PMCPMC13486213

What OpenQuestion holds

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Registered trials

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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.