Evidence map›Paper›PMID 41375146›Full record

ArticleMolecules (Basel, Switzerland)2025

Tuning SWCNT Length to Optimize the Rate-Efficiency-Stability Triad in Nanofluidic Water Channels.

Shu-Peng Wang, Qi-Lin Zhang, Zhi-Jun Ma, Ju-Xiang Li, Zhen-Yan Lu, Rong-Yao Yang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. 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

6 authors.

Shu-Peng WangHunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials, School of Physics and Electronics, Hunan University of Science and Technology, Xiangtan 411201, China.ORCID 0009-0008-0642-8266
Qi-Lin ZhangSchool of Mathematics-Physics and Finance, Anhui Polytechnic University, Wuhu 241000, China.
Zhi-Jun MaHunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials, School of Physics and Electronics, Hunan University of Science and Technology, Xiangtan 411201, China.
Ju-Xiang LiSchool of Science, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, China.
Zhen-Yan LuHunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials, School of Physics and Electronics, Hunan University of Science and Technology, Xiangtan 411201, China.ORCID 0000-0002-2629-3329
Rong-Yao YangHunan Provincial Key Laboratory of Intelligent Sensors and Advanced Sensor Materials, School of Physics and Electronics, Hunan University of Science and Technology, Xiangtan 411201, China.

Funding

the China Postdoctoral Science Foundation Grant No.~2021M690627the Fundamental Research Funds for the Central Universities Grant No.~2242022R20041the Hunan Provincial Natural Science Foundation of China Grant No.~2021JJ40188the National Natural Science Foundation of China Grant Nos.~12404240 and 12205093
6 · The paper itself

Abstract

This work shows that the length of single-walled carbon nanotubes is critical in governing the trade-off among the rate, efficiency, and stability of pressure-driven water transport. A critical length of 1.06 nm marks the transition in the transport mechanism from a thermal-fluctuation-dominated regime to an ordered water-chain mode. This transition is driven by the evolution of the potential of mean force with tube length, which progresses from a flat landscape to a high-barrier profile and ultimately forms a low-resistance tunnel in long nanotubes. Notably, this tunnel endows the water chain with an enhanced ability to restore its continuity, allowing it to bridge fracture gaps as wide as 7 Å even in the absence of an external pressure difference. These insights reveal a length-dependent mechanism that could revolutionize CNT-hydrogel hybrids for biomedical applications.

Indexed as

molecular dynamics simulationnanofluidicssingle-walled carbon nanotubeswater-chain bridging mechanismwater transport

Identifiers

PMID41375146
PMCPMC12692946

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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.