ReviewMicroorganisms2024
Antimicrobial Photodynamic Therapy: Self-Disinfecting Surfaces for Controlling Microbial Infections.
Review in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Antibiotic-Free Strategies for Managing Antimicrobial-Resistant Infections.Pharmaceutics · 2026Review
- Deciphering microbial biofilm: mechanism, infection, and advanced approaches for control.Folia microbiologica · 2026Review
- Syntheses, DNA interactions, and photodynamic antimicrobial properties of near-infrared indolium carbocyanine dyes.RSC advances · 2026Article
- Anionic Boron-Cluster BODIPY Conjugates As Promising Photosensitizers for Targeted Antimicrobial Photodynamic Therapy.ACS omega · 2025Article
- Enhancing Antibiotic Effect by Photodynamic: The Case ofAntibiotics (Basel, Switzerland) · 2025Article
- Optimizing of photodynamic parameters: determining the key factors for effective inactivation of Streptococcus mutans biofilms with phycocyanin.Lasers in medical science · 2025Article
- 3D-printed surface coated with natural photosensitizer for photodynamic inactivation of methicillin-resistant Staphylococcus aureus using visible light.Lasers in medical science · 2025Article
- Biofilm Resilience: Molecular Mechanisms Driving Antibiotic Resistance in Clinical Contexts.Biology · 2025Review
- Exploring the potential of photodynamic therapy in overcoming multidrug resistance: mechanisms, synergies, and clinical advancements in infectious diseases.Frontiers in cellular and infection microbiology · 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
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial infections caused by bacteria, viruses, and fungi pose significant global health threats in diverse environments. While conventional disinfection methods are effective, their reliance on frequent chemical applications raises concerns about resistance and environmental impact. Photodynamic self-disinfecting surfaces have emerged as a promising alternative. These surfaces incorporate photosensitizers that, when exposed to light, produce reactive oxygen species to target and eliminate microbial pathogens. This review explores the concept and mechanism of photodynamic self-disinfecting surfaces, highlighting the variety and characteristics of photosensitizers integrated into surfaces and the range of light sources used across different applications. It also highlights the effectiveness of these surfaces against a broad spectrum of pathogens, including bacteria, viruses, and fungi, while also discussing their potential for providing continuous antimicrobial protection without frequent reapplication. Additionally, the review addresses both the advantages and limitations associated with photodynamic self-disinfecting surfaces and concludes with future perspectives on advancing this technology to meet ongoing challenges in infection control.
Indexed as
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.