ArticleScientific reports2016
Predicting the growth situation of Pseudomonas aeruginosa on agar plates and meat stuffs using gas sensors.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 29 citations in OpenAlex.
- Contamination of meat and its products byOpen veterinary journal · 2025Article
- The Microbiome of Catfish (Microorganisms · 2025Article
- Direct Discrimination and Growth Estimation of Foodborne Bacteria in Raw Meat Using Electronic Nose.Microorganisms · 2024Article
- Assessment of virulence factors and antimicrobial resistance among the Pseudomonas aeruginosa strains isolated from animal meat and carcass samples.Veterinary medicine and science · 2023Article
- Growth Prediction of the Total Bacterial Count in Freshly Squeezed Strawberry Juice during Cold Storage Using Electronic Nose and Electronic Tongue.Sensors (Basel, Switzerland) · 2022Article
- In-House Validation of Multiplex PCR for Simultaneous Detection of Shiga Toxin-ProducingFoods (Basel, Switzerland) · 2022Article
- Article
- Bacteriocin of Pediococcus acidilactici HW01 Inhibits Biofilm Formation and Virulence Factor Production by Pseudomonas aeruginosa.Probiotics and antimicrobial proteins · 2020Article
- Detection of Volatile Compounds Emitted by Bacteria in Wounds Using Gas Sensors.Sensors (Basel, Switzerland) · 2019Article
- Antimicrobial Activities and Mechanisms of Magnesium Oxide Nanoparticles (nMgO) against Pathogenic Bacteria, Yeasts, and Biofilms.Scientific reports · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A rapid method of predicting the growing situation of Pseudomonas aeruginosa is presented. Gas sensors were used to acquire volatile compounds generated by P. aeruginosa on agar plates and meat stuffs. Then, optimal sensors were selected to simulate P. aeruginosa growth using modified Logistic and Gompertz equations by odor changes. The results showed that the responses of S
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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.