Evidence map›Paper›PMID 42428829›Full record

ReviewACS omega2026

Silk-Fibroin-Based Adhesive Hydrogels: Mechanistic Insights and Biomedical ApplicationsA Review.

Jirasak Jitpibull, Nopparuj Soomherun, Juthamas Ratanavaraporn

Abstract readReview
In one paragraph

Review in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Jirasak JitpibullBiomedical Engineering Research Center, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.
Nopparuj SoomherunBiomedical Engineering Research Center, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.
Juthamas RatanavarapornBiomedical Engineering Research Center, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.ORCID https://orcid.org/0009-0009-9405-7828

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogels are versatile soft materials extensively applied in biomedical fields including tissue engineering, drug delivery, and biosensing. A critical challenge in these applications is maintaining hydrogel integrity at the target site, as the loss or displacement of the hydrogel can compromise tissue regeneration, therapeutic delivery, or sensor functionality. Adhesive hydrogels, therefore, are essential to ensure stable interfacial interactions with biological tissues. Silk fibroin, a natural polymer, offers biocompatibility, low toxicity, tunable mechanical properties, and controllable biodegradability, making it a promising candidate for hydrogel scaffolds and biosensor substrates. However, its limited functional sites restrict intrinsic adhesion, necessitating strategies to enhance interfacial bonding. This Review systematically examines approaches to improve the adhesion of silk-fibroin-based hydrogels, including chemical modification, incorporation of functional polymers, and catechol-mediated interactions, alongside the mechanistic principles underlying each strategy. Representative applications in tissue engineering, drug delivery, and biosensing are highlighted to demonstrate their translational potential. By integration of design strategies with mechanistic insights, this work provides a framework for developing silk-fibroin-based adhesive hydrogels tailored for specific tissue interfaces, enabling robust, multifunctional, and clinically relevant biomaterials for advanced biomedical and diagnostic applications.

Identifiers

PMID42428829
PMCPMC13347663

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.