Evidence map›Paper›PMID 40952539›Full record

ArticleNano-micro letters2025

Flexible Monolithic 3D-Integrated Self-Powered Tactile Sensing Array Based on Holey MXene Paste.

Mengjie Wang, Chen Chen, Yuhang Zhang, Yanan Ma, Li Xu, Dan-Dan Wu, Bowen Gao, Aoyun Song, Li Wen, Yongfa Cheng and 2 more

Abstract read
In one paragraph

Article in Nano-micro letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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

12 authors.

Mengjie Wang *Information Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China.
Chen Chen *Information Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China.
Yuhang Zhang *Information Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China.
Yanan MaHubei Key Laboratory of Energy Storage and Power Battery, School of Optoelectronic Engineering, Hubei University of Automotive Technology, Shiyan, 442002, People's Republic of China. mayn@huat.edu.cn.
Li XuHubei Key Laboratory of Energy Storage and Power Battery, School of Optoelectronic Engineering, Hubei University of Automotive Technology, Shiyan, 442002, People's Republic of China. xuli@huat.edu.cn.
Dan-Dan WuInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China.
Bowen GaoHubei Key Laboratory of Energy Storage and Power Battery, School of Optoelectronic Engineering, Hubei University of Automotive Technology, Shiyan, 442002, People's Republic of China.
Aoyun SongInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China.
Li WenInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China.
Yongfa ChengDepartment of Materials Science and Engineering, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA.
Siliang WangInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China. sliang_wang@163.com.
Yang YueInformation Materials and Intelligent Sensing Laboratory of Anhui Province, Industry-Education-Research Institute of Advanced Materials and Technology for Integrated Circuits, Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, People's Republic of China. yueyang@ahu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible electronics face critical challenges in achieving monolithic three-dimensional (3D) integration, including material compatibility, structural stability, and scalable fabrication methods. Inspired by the tactile sensing mechanism of the human skin, we have developed a flexible monolithic 3D-integrated tactile sensing system based on a holey MXene paste, where each vertical one-body unit simultaneously functions as a microsupercapacitor and pressure sensor. The in-plane mesopores of MXene significantly improve ion accessibility, mitigate the self-stacking of nanosheets, and allow the holey MXene to multifunctionally act as a sensing material, an active electrode, and a conductive interconnect, thus drastically reducing the interface mismatch and enhancing the mechanical robustness. Furthermore, we fabricate a large-scale device using a blade-coating and stamping method, which demonstrates excellent mechanical flexibility, low-power consumption, rapid response, and stable long-term operation. As a proof-of-concept application, we integrate our sensing array into a smart access control system, leveraging deep learning to accurately identify users based on their unique pressing behaviors. This study provides a promising approach for designing highly integrated, intelligent, and flexible electronic systems for advanced human-computer interactions and personalized electronics.

Indexed as

Deep learning algorithmHoley MXeneMicrosupercapacitorMonolithic 3D integrationTactile sensor

Identifiers

PMID40952539
PMCPMC12436258

What OpenQuestion holds

Textmetadata
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.