Evidence map›Paper›PMID 40188097›Full record

ArticleNature communications2025

Spatiotemporal molecular tracing of ultralow-volume biofluids via a soft skin-adaptive optical monolithic patch sensor.

Yeon Soo Lee, Seyoung Shin, Gyun Ro Kang, Siyeon Lee, Da Wan Kim, Seongcheol Park, Youngwook Cho, Dohyun Lim, Seung Hwan Jeon, Soo-Yeon Cho and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Yeon Soo Lee *School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Seyoung Shin *School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.ORCID http://orcid.org/0009-0004-9474-0129
Gyun Ro KangSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Siyeon LeeSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Da Wan KimDepartment of Electronic Engineering, Korea National University of Transportation, Chungju-si, Chungbuk, Republic of Korea.ORCID http://orcid.org/0000-0003-4500-6513
Seongcheol ParkSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Youngwook ChoSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Dohyun LimSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Seung Hwan JeonSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea.
Soo-Yeon ChoSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea. sooyeonc@skku.edu.ORCID http://orcid.org/0000-0001-6294-1154
Changhyun PangSchool of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea. chpang@skku.edu.ORCID http://orcid.org/0000-0001-8339-7880

Funding

National Research Council of Science and Technology (National Research Council of Science & Technology) CRC23021-000National Research Foundation of Korea (NRF) 2022R1A4A3032923
6 · The paper itself

Abstract

Molecular tracing of extremely low amounts of biofluids is vital for precise diagnostic analysis. Although optical nanosensors for real-time spatiotemporal molecular tracing exist, integrating them into simple devices that capture low-volume fluids on rough, dynamic surfaces remains challenging. We present a bioinspired 3D microstructured patch monolithically integrated with optical nanosensors (3D MIN) for real-time, multivariate molecular tracing of ultralow-volume fluids. Inspired by tree frog toe pads, the 3D MIN features soft, hexagonally aligned pillars and microchannels for conformal adhesion and targeted fluid management. Embedding near-infrared fluorescent single-walled carbon nanotube nanosensors in a hydrogel enables simultaneous fluid capture and detection. Softening the elastomer microarchitecture and optimizing water management promote stable adhesion on wet biosurfaces, allowing rapid collection of ultralow-volume fluids (~0.1 µL/min·cm²). We demonstrate real-time, remote sweat analysis with ≥75 nL volumes collected in 45 s, without exercise or iontophoresis, showcasing high biocompatibility and efficient spatiotemporal molecular tracing.

Indexed as

Biosensing TechniquesSkinSweatAnimalsHumansHydrogelsNanotechnologyNanotubes, CarbonHydrogelsNanotubes, Carbon

Identifiers

PMID40188097
PMCPMC11972314

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.