ReviewBioactive materials2025
Progress in visible-light-activated photocatalytic coatings to combat implant-related infections: From mechanistic to translational roadmap.
Review in Bioactive materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Biofilm Formation and Spore-Mediated Persistence of Clostridium perfringens in Meat and Poultry Processing Environments and Their Implications for Control Strategies.Journal of food science · 2026Review
- Modern Drug Delivery Platforms Based on Photocrosslinkable Hydrogels (PCHs) in Dentistry: From Material Characteristics to Clinical Applications-A Review.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Silver integrated hybrids and nanocomposites for next-generation biomedicine: Beyond antimicrobial coatings toward smart sense-response-heal platforms.Materials today. Bio · 2025Review
- Porous Structures, Surface Modifications, and Smart Technologies for Total Ankle Arthroplasty: A Narrative Review.Bioengineering (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomedical and dental implants have enhanced healthcare but concurrently increased the risk of infections. Innovations in smart biomaterials, especially those responding to light stimuli through photocatalytic mechanisms, are emerging as promising solutions for activating targeted antimicrobial responses. While extensive reviews have provided insight into photocatalysis and its medical and environmental applications, limited focus has been given to solutions specifically tailored for implant contexts. The recent introduction of photocatalysis in the implant field, particularly visible-light-triggered photocatalytic coatings, represents a versatile approach to managing infections. These coatings offer on-demand reactive oxygen species generation, delivering antibacterial effects against a range of pathogens. Hence, this comprehensive review aims to summarize the latest advancements in design principles, physicochemical modifications, and surface optimizations, along with novel research concepts towards the achievement of visible-light-triggered photocatalytic antibacterial activity. Moreover, through a systematic search, this review discusses the current state-of-the-art regarding the antimicrobial efficacy of these biomaterials and the key factors influencing their performance, including microorganism type, photocatalyst properties, light source and intensity, and exposure time. Finally, it provides an in-depth discussion of current challenges, future directions, and regulatory considerations targeting biofilm-related implant treatments, offering guidance for future clinical adoption of multifunctional photocatalytic coatings in implant therapy.
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Identifiers
What OpenQuestion holds
Registered trials
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.