Evidence map›Paper›PMID 41614169›Full record

ReviewJACS Au2026

Supramolecular Zwitterionic Polymers: Dynamic Traits Imparted by Ionic Interactions.

Jin Wang, Xuedong Xiao, Xinghuo Xiao, Jianwei Sun, Ryan T K Kwok, Jacky W Y Lam, Ben Zhong Tang

Abstract readReview
In one paragraph

Review in JACS Au, 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

7 authors.

Jin WangDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China.
Xuedong XiaoDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China.
Xinghuo XiaoDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China.
Jianwei SunDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China.ORCID https://orcid.org/0000-0002-2470-1077
Ryan T K KwokDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China.ORCID https://orcid.org/0000-0002-6866-3877
Jacky W Y LamDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China.
Ben Zhong TangDepartment of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, and State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong 999077, China.ORCID https://orcid.org/0000-0002-0293-964X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Supramolecular ionic polymers (SIPs) exhibit distinctive dynamic properties, which arise from the synergistic combination of substantial strength and pronounced reversibility of ionic interactions. However, conventional SIPs formed by coassembly using anionic and cationic separated double monomers suffer from complicated synthesis and heterogeneous structures, which obscure in-depth investigation of their dynamic behaviors. In response, we developed a zwitterionic monomer, namely TPE-2N2S, that incorporates both charged motifs into one fluorescent tetraphenylethylene (TPE) skeleton. This zwitterionic and single-component monomer design strategy enables the efficient formation of supramolecular zwitterionic polymers (SZIPs) with a uniform and orderly structure, and it can further enhance the understanding of structure-property relationships. In this perspective, we examine the dynamic features of ionic interactions in SZIPs, emphasizing their structural advantages, controllable assembly, and ionic interaction characteristics. We further investigate the dynamic behavior driven by ionic interactions at the intramolecular, intermolecular, and supramolecular architecture levels. Finally, we discuss key challenges and future opportunities in this emerging field, aiming to advance the design and application of SZIPs.

Indexed as

dynamic transitionionic aggregatesionic interactionsstimuli-responsivesupramolecular zwitterionic polymers

Identifiers

PMID41614169
PMCPMC12848712

What OpenQuestion holds

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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.