ReviewInternational journal of molecular sciences2020
Antimicrobial Photoinactivation Approach Based on Natural Agents for Control of Bacteria Biofilms in Spacecraft.
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- 1,9-Dimethyl-methylene Blue-Based Antimicrobial Photodynamic Inactivation: Sulfate-Reducing Bacteria Models Isolated from Oilfield Wastewater.ACS omega · 2026Article
- Natural Antimicrobial Compounds as Promising Preservatives: A Look at an Old Problem from New Perspectives.Molecules (Basel, Switzerland) · 2024Review
- Photodynamic treatment ofRSC medicinal chemistry · 2024Article
- Article
- Article
- Photodynamic Activity of Chlorophyllin and Polyethylenimine onInternational journal of molecular sciences · 2023Article
- Microbial applications for sustainable space exploration beyond low Earth orbit.NPJ microgravity · 2023Review
- Remove, Refine, Reduce: Cell Death in Biological Systems.International journal of molecular sciences · 2023Article
- Application of Antimicrobial Photodynamic Therapy for Inactivation ofInternational journal of molecular sciences · 2022Article
- Passive limitation of surface contamination by perFluoroDecylTrichloroSilane coatings in the ISS during the MATISS experiments.NPJ microgravity · 2022Article
- Inactivation of Opportunistic PathogensMicroorganisms · 2022Article
- Riboflavin- and chlorophyllin-based antimicrobial photoinactivation ofFrontiers in cellular and infection microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A spacecraft is a confined system that is inhabited by a changing microbial consortium, mostly originating from life-supporting devices, equipment collected in pre-flight conditions, and crewmembers. Continuous monitoring of the spacecraft's bioburden employing culture-based and molecular methods has shown the prevalence of various taxa, with human skin-associated microorganisms making a substantial contribution to the spacecraft microbiome. Microorganisms in spacecraft can prosper not only in planktonic growth mode but can also form more resilient biofilms that pose a higher risk to crewmembers' health and the material integrity of the spacecraft's equipment. Moreover, bacterial biofilms in space conditions are characterized by faster formation and acquisition of resistance to chemical and physical effects than under the same conditions on Earth, making most decontamination methods unsafe. There is currently no reported method available to combat biofilm formation in space effectively and safely. However, antibacterial photodynamic inactivation based on natural photosensitizers, which is reviewed in this work, seems to be a promising method.
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.