Evidence map›Paper›PMID 42401571›Full record

ArticleNature communications2026

Multiscale artificial spider web for comprehensive pressure sensing and human-machine interaction.

Jing Dai, Kwan-Nyeong Kim, Guangzhong Xie, Dong-Su Choi, Seung-Woo Lee, Eojin Yoon, Chan-Yul Park, Han Dai, Somin Kim, Hyun-Haeng Lee and 1 more

Abstract read
PubMed Full text at PMC Publisher
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

11 authors.

Jing Dai *Department of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0006-5874-3685
Kwan-Nyeong Kim *Department of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-4128-5801
Guangzhong XieSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Dong-Su ChoiDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0008-8411-3227
Seung-Woo LeeDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6095-8243
Eojin YoonDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0007-1895-6042
Chan-Yul ParkDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.
Han DaiInstitute of Art and Art Design, Nanyang Normal University, Nanyang, China.
Somin KimDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.
Hyun-Haeng LeeDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea.
Tae-Woo LeeDepartment of Materials Science and Engineering, Seoul National University, Seoul, Republic of Korea. twlees@snu.ac.kr.ORCID http://orcid.org/0000-0002-6449-6725

Funding

Ministry of Science, ICT and Future Planning (MSIP) RS-2022-NR067540
6 · The paper itself

Abstract

Flexible pressure sensors are key components of Internet of Things systems for monitoring environmental and physiological signals, yet simultaneously achieving a high sensitivity, a fast response time, and a high mechanical durability remains challenging owing to the lack of sophisticated structural designs that balance sensing performance and robustness. Here, we demonstrate a multiscale artificial spider web (MASW) fabricated via copper-mesh-assisted electrospinning of biodegradable polylactic acid, forming a nanofiber network that efficiently transmits stress while enhancing mechanical stability. The resulting pressure sensor simultaneously shows a high sensitivity of 39.85 [kPa]

Indexed as

PressureSpidersWearable Electronic DevicesAnimalsHumansInternet of ThingsNanofibersPolyestersPolyesterspoly(lactide)

Identifiers

PMID42401571
PMCPMC13470477

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.