Evidence map›Paper›PMID 41406218›Full record

ArticleScience advances2025

Phosphorus-lithium double-helix nanoribbons.

Chuang Hou, Huan Lu, Yi Liu, Qilong Wu, Nathampapop Jobsri, Siyuan Liu, Liren Wang, Qiang Gao, Jiamin Wu, Byunghun Oh and 6 more

Abstract read
In one paragraph

Article in Science advances, 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

16 authors.

Chuang HouState Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory of Intelligent Nano Materials and Devices of Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0009-0006-1692-4701
Huan LuState Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory of Intelligent Nano Materials and Devices of Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Yi LiuState Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory of Intelligent Nano Materials and Devices of Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Qilong WuState Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory of Intelligent Nano Materials and Devices of Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Nathampapop JobsriResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0009-0003-0556-8279
Siyuan LiuResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0000-0003-4696-6081
Liren WangResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0009-0009-8737-2408
Qiang GaoResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8505, Japan.
Jiamin WuState Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory of Intelligent Nano Materials and Devices of Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Byunghun OhResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0009-0003-3129-2691
Ryoto YanagisawaInstitute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.
Xin WuInstitute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0000-0002-7179-371X
Masahiro NomuraInstitute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0000-0003-3706-4836
Wanlin GuoState Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory of Intelligent Nano Materials and Devices of Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0000-0002-2302-8044
Naoji MatsuhisaResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8505, Japan.ORCID 0000-0002-5978-2778
Guoan TaiState Key Laboratory of Mechanics and Control for Aerospace Structures, Key Laboratory of Intelligent Nano Materials and Devices of Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0000-0002-9416-3753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorus nanoribbons combine the tunable bandgap and high mobility with the inherent anisotropy of one-dimensional systems, offering promise for functional electronics, but their intrinsic low stability hinders practical applications. Here, we report phosphorus-lithium double-helix nanoribbons with a well-ordered helical architecture and high structural stability under harsh conditions such as in air up to 225°C, water, and even acidic solutions. Comprehensive experimental characterizations and theoretical analyses show that the stability arises from a synergistic combination of Zintl phase formation between phosphorus and lithium atoms, noncovalent interhelical interactions, and geometric protection offered by the distinctive helical architecture. The nanoribbons show tunable optical properties dependent on temperature, thickness, and polarization state. It is demonstrated that these properties enabled nanoribbon-based hydrogels with self-healability and highly efficient photothermal conversion, showing a general approach for stabilizing active low-dimensional materials and paving the way for applying phosphorus-based nanostructures in biomedical engineering and quantum technologies.

Identifiers

PMID41406218
PMCPMC12710709

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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.