Evidence map›Paper›PMID 42637766›Full record

ArticleNature communications2026

A programmable living force sensor fabricated with surface engineered microbial network.

Si Shi, Changhong Wang, Qiliner Feng, Hailin Li, Aike Shi, Jie Liu, Yongzheng Ma, Xiangjun Gong, Zifu Li, Baizhu Chen

Abstract read
In one paragraph

Article in Nature communications, 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

10 authors.

Si Shi *School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, PR China.
Changhong Wang *School of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, PR China.ORCID http://orcid.org/0000-0003-2821-9357
Qiliner FengSchool of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, PR China.
Hailin LiFaculty of Materials Science and Engineering, South China University of Technology, Guangzhou, PR China.
Aike ShiSchool of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, PR China.
Jie LiuSchool of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, PR China.ORCID http://orcid.org/0000-0001-6035-0131
Yongzheng MaDepartment of Marine Science, School of Marine Science and Technology, Tianjin University, Tianjin, PR China.
Xiangjun GongFaculty of Materials Science and Engineering, South China University of Technology, Guangzhou, PR China.
Zifu LiDepartment of Nanomedicine and Biopharmaceuticals, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, PR China.ORCID http://orcid.org/0000-0001-6387-4854
Baizhu ChenSchool of Biomedical Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, PR China. chenbzh8@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-4376-4222

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32301110, 62573441Shenzhen Science and Technology Innovation Commission RCYX20231211090225039
6 · The paper itself

Abstract

Engineered living materials have recently expanded into the field of bioelectronics when incorporating the rationally rewired microbes inside. Integrating living materials with force sensing provides an alternative route to overcome limitations of traditional sensors, such as fragility and stretching-sensitivity. Here, we present a programmable living force sensor fabricated by surface engineered microbial network with a bottom-up design for human-machine interfaces. Bacterial cells are genetically rewired to display surface-anchored affinity pairs that mediate the assembly of bacteria to macroscale. Functioning as the conductive and sensing layer, the microbial network is encapsulated in elastic tubes to fabricate the macroscopic force sensor. The resulting living sensor features a tunable measuring range, rapid self-recovery capacity within tens of milliseconds, and remarkably, excellent stretching-insensitivity with only ~30% increase in resistance under 800% of elongation. This bio-integrated approach enables microbes to prepare robust and reconfigurable force sensor suitable for tensile, dynamic and extreme mechanical conditions.

Indexed as

Biosensing TechniquesEscherichia coli

Identifiers

PMID42637766
PMCPMC13503852

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.