Evidence map›Paper›PMID 41721403›Full record

ReviewJournal of nanobiotechnology2026

From biomolecular condensates to functional nanomaterials: LLPS-inspired frameworks for nanoscale hydrogels and adaptive materials.

Mei Dang, Chenxuan Yang, Gelin Jin, Qinqin Deng, Longjiang Wu, Geok Bee Teh

Abstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 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

6 authors.

Mei Dang *Shaanxi University of Technology, Hanzhong, 723000, Shaanxi, China. E0269788@u.nus.edu.ORCID http://orcid.org/0000-0002-2660-3323
Chenxuan Yang *Shaanxi University of Technology, Hanzhong, 723000, Shaanxi, China.
Gelin JinShaanxi University of Technology, Hanzhong, 723000, Shaanxi, China.
Qinqin DengShaanxi University of Technology, Hanzhong, 723000, Shaanxi, China.
Longjiang WuTongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China. Longjiang_Wu@hust.edu.cn.ORCID http://orcid.org/0000-0003-2617-8811
Geok Bee TehAcademy of Sciences Malaysia, Level 20, Menara Matrade, Jalan Sultan Haji Ahmad Shah, Kompleks Kerajaan, 50480, Kuala Lumpur, Malaysia.

Funding

San Qin Youth Program of Shaanxi Province Talent Introduction Plan Shaanxi Talent Letter [2024]Young Scientists Fund of the National Natural Science Foundation of China 32401277
6 · The paper itself

Abstract

Liquid-liquid phase separation (LLPS) has emerged as a fundamental mechanism for intracellular organization and dynamic regulation, while nanoscience provides precise tools for designing matter at the nanoscale. LLPS-driven condensates behave as dynamic, nanoscale hydrogel-like networks, offering a unifying physical framework that bridges biological phase behavior with synthetic soft materials. Their convergence opens new opportunities for engineering adaptive and functional materials. This review provides an integrative perspective on the LLPS-nano interface, illustrating how LLPS principles enable the rational design of responsive and self-regulating nanomaterials. We synthesize established and hypothesized mechanistic insights into how nanoparticle properties, including surface chemistry, geometry, and responsiveness, modulate phase behavior and shift condensate assembly and energetics. Advanced nanoscale characterization techniques are highlighted for resolving condensate architecture and mechanics with molecular precision. We further highlight emerging functional applications in programmable biomedical therapeutics, drug delivery, advanced nanomaterials, catalytic systems, and environmental remediation, illustrating how LLPS-inspired design can bridge molecular interactions with macroscopic performance. Finally, we propose a forward-looking roadmap combining multiscale modeling, dynamic imaging, and data-driven materials design to advance LLPS from a biological phenomenon to a predictive design principle for creating responsive and susainable materials.

Indexed as

Biomolecular CondensatesHydrogelsNanostructuresPhase SeparationHydrogelsAdaptive functional materialsBiointerface engineeringLiquid-liquid phase separation (LLPS)Nanoparticle-protein interactionsNanoscale hydrogelsResponsive nanomaterials

Identifiers

PMID41721403
PMCPMC13032595

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.