ArticleScientific reports2026
Biochromatic potential of Pseudomonas aeruginosa from grapes: molecular profiling, antimicrobial action and eco-friendly dye applications.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Analytical characterization, antifungal activity and textile dyeing of blue green pigment produced by Pseudomonas aeruginosa for potential industrial application.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microorganisms represent an emerging and sustainable reservoir of naturally derived colorants with immense biotechnological and industrial significance. Owing to their superior biodegradability, environmental benignity, and renewable nature, microbial pigments offer a compelling alternative to conventional synthetic dyes, which are often associated with ecological toxicity and health hazards. The present investigation was undertaken to isolate, characterize, and evaluate a blue-green pigment synthesized by a bacterial strain recovered from black grape samples. The pigment-producing isolate was taxonomically characterized as Pseudomonas aeruginosa based on comprehensive biochemical profiling and confirmed through 16 S rRNA gene sequencing. The pigment, designated as SK4, was efficiently extracted using chloroform as the solvent system. The antimicrobial efficacy of the purified pigment was assessed against four clinically relevant human pathogens—Salmonella typhi, Pseudomonas aeruginosa, Escherichia coli, and Klebsiella pneumoniae—exhibiting inhibition zones of 12.06 mm, 13.03 mm, 10.00 mm, and 11.03 mm, respectively, thereby demonstrating notable broad-spectrum activity. Furthermore, the potential application of this microbial pigment as a biocolourant was evaluated by dyeing diverse textile substrates, including silk, cotton, crepe, and satin. The dyed fabrics were subsequently examined for colour fastness parameters encompassing washing, rubbing, light, and thermal stability, alongside cytotoxicity assessments to ensure biosafety. Among the tested fabrics, crepe demonstrated superior fastness properties with wash and rubbing ratings of 5 and 4, respectively. Satin exhibited moderate to good fastness (wash 4, rub 3), whereas silk and cotton showed comparatively lower performance. Light fastness was the limiting factor, with ratings ranging from 1 to 2 for all substrates. Collectively, the study underscores the technological promise of P. aeruginosa-derived pigment as an eco-compatible and economically viable biodye, capable of supplanting hazardous synthetic colorants in the textile industry due to its non-toxic nature, robust dyeing performance, and environmental sustainability.
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.