Evidence map›Paper›PMID 42429211›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Hierarchically Porous SNP@MXene Hybrid Architectures for Ultra-Responsive Moisture Sensing and Wireless Smart-Wearable Hydration Diagnostics.

Shenawar Ali Khan, Mirza Mahmood Baig, Ali Shan, Seung Goo Lee, Sung Woon Cho

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

5 authors.

Shenawar Ali KhanDivision of Semiconductor and Electronics Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.
Mirza Mahmood BaigDepartment of Chemistry, University of Ulsan, Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0001-9342-9997
Ali ShanGraduate School of Flexible and Printable Electronics, LANL, JBNU Engineering Institute-Korea, Jeonbuk National University, Jeonju, Republic of Korea.
Seung Goo LeeDepartment of Chemistry, University of Ulsan, Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0002-6504-996X
Sung Woon ChoDivision of Semiconductor and Electronics Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea.ORCID https://orcid.org/0000-0001-8392-3668

Funding

Hankuk University of Foreign StudiesMinistry of EducationNational Research Foundation of Korea RS-2021-NR060113National Research Foundation of Korea RS-2024-00456141Regional Innovation System & EducationUlsan Metropolitan Government 2025-RISE-07-001
6 · The paper itself

Abstract

Enabling next-generation wearable moisture monitoring solutions requires overcoming the instability and constrained transport paths of traditional sensing materials. We present a multifunctional MXene/silica-nanoparticle (SNP@MXene) hybrid developed with a hierarchically porous structure that mitigates MXene restacking while improving water adsorption kinetics, ionic transport routes, and dielectric polarization across different humidity levels. Through the optimization of the operating frequency (100 Hz-100 kHz), the device demonstrates an extensive detection range (3%-88%RH), elevated sensitivity (62.79 nF/%RH), quick response and recovery times (830/610 ms), and stable device performance. Impedance spectroscopy, transient current analysis, and wetting kinetics demonstrate that robust interfacial coupling and maintained nanochannels inside the composite dictate humidity-dependent charge transfer and dielectric modulation. The sensor was integrated into a smart-diaper platform for real-time moisture detection, differentiating wetness states with signal amplitudes of 2.2-4.7 µF and facilitating consistent monitoring of urine occurrences. These findings confirm SNP@MXene nanohybrids as a reliable platform for wearable moisture detection, baby care monitoring, and real-time hydration assessment.

Indexed as

anti‐restacking architecturesilica nanoparticle intercalationTi3C2Tx MXenewearable moisture monitoring

Identifiers

PMID42429211
PMCPMC13509074

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.