Functionally Graded Surfaces and Materials: From Fabrication to Biomedical Applications
Hao M., Chen Y., Meng Y., Yan E., Qiu J., Xia Y.
Narrative Review on Face & Skin, published in Chem Rev (2026) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Narrative Review
- Journal
- Chem Rev (2026)
- Reported sample size
- —
- Source database
- Europe PMC
- PMID
- 41609249
- PMCID
- PMC12903761
- DOI
- 10.1021/acs.chemrev.5c00732
- Citations
- 1
Abstract (original English)
Functionally graded surfaces and materials, featuring spatial variations in terms of composition, structure, and other properties across distance, have emerged as powerful platforms for mimicking native tissue architectures and enabling a wide range of biomedical applications. This review aims to provide a comprehensive overview of their fabrication methods and biomedical applications. We begin by introducing the concept of gradients and their inherent biological relevance in nature. With a distinct focus on either surfaces or materials, we then discuss the fabrication methods and characterization techniques capable of controlling the graded profiles. Importantly, representative examples are provided to highlight how engineered gradients regulate specific cellular responses and functionalities in biomedical contexts. Despite significant progress, challenges remain in translating laboratory-scale fabrication to clinical use, such as ensuring good reproducibility and scalability. At the end, we discuss how computational modeling and artificial intelligence offer new opportunities to address these challenges. We hope this review provides a framework for advancing the development of next-generation functionally graded surfaces and materials toward diverse biomedical applications.
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is a narrative review: it collects no new patient data and does not systematically appraise evidence quality.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
How we grade evidenceBrowse all related research
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