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Your search keyword '"Pérez‐Aranda, María"' showing total 2 results
Start Over Author "Pérez‐Aranda, María" Topic pseudomonas aeruginosa
2 results on '"Pérez‐Aranda, María"'

1. Homochiral imidazolium-based dicarboxylate silver(I) compounds: synthesis, characterisation and antimicrobial properties.

Author

Carrasco, Carlos J., Montilla, Francisco, Álvarez, Eleuterio, Galindo, Agustín, Pérez-Aranda, María, Pajuelo, Eloísa, and Alcudia, Ana

Subjects
SILVER, PSEUDOMONAS aeruginosa, COORDINATION polymers, ESCHERICHIA coli, ENANTIOMERS, POLARIMETRY
Abstract

Complexes [Ag(LR)], 2 (LR = 2,2′-(imidazolium-1,3-diyl)di(2-alkylacetate)), were prepared by treatment of compounds HLR, 1, with Ag2O. They were characterised by analytical, spectroscopic (IR, 1H and 13C NMR and polarimetry) and X-ray methods (2c, 2c′ and 2e). In the solid state, these compounds are novel one-dimensional or two-dimensional coordination polymers in which silver(I) cations are connected via the chiral [LR]− anion with unprecedented coordination modes. The antimicrobial properties of these complexes were evaluated. 2a and 2b′ showed the best antimicrobial properties (minimal inhibitory concentrations and minimal bactericidal concentration) for Pseudomonas aeruginosa and Escherichia coli pathogens. Eutomers 2b′ and 2c′ showed slightly better antimicrobial properties than their respective enantiomers 2b and 2c. [ABSTRACT FROM AUTHOR]

Published
2022
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2. Dynamics and numerical simulations to predict empirical antibiotic treatment of multi-resistant Pseudomonas aeruginosa infection.

Author

López-de-la-Cruz, Javier, Pérez-Aranda, María, Alcudia, Ana, Begines, Belén, Caraballo, Tomás, Pajuelo, Eloísa, and Ginel, Pedro J.

Subjects
*PSEUDOMONAS aeruginosa, *COMPUTER simulation, *PUBLIC health research, *PSEUDOMONAS aeruginosa infections, *OTITIS externa, *ANTIBIOTICS, *POPULATION dynamics, *NEURAL codes
Abstract

• Performing cultures in the laboratory to study Pseudomonas aeruginosa. • Using a SIRI model to study a group of dogs affected by otitis externa in Spain. • Developing codes in Matlab to predict the dynamics of the population. • Providing a powerful tool: antibiotic panel that can be used as empirical treatment. This work discloses an epidemiological mathematical model to predict an empirical treatment for dogs infected by Pseudomonas aeruginosa. This dangerous pathogen is one of the leading causes of multi-resistant infections and can be transmitted from dogs to humans. Numerical simulations and appropriated codes were developed using Matlab software to gather information concerning long-time dynamics of the susceptible, infected and recovered individuals. All data compiled from the mathematical model was used to provide an appropriated antibiotic sensitivity panel for this specific infection. In this study, several variables have been included in this model to predict which treatment should be prescribed in emergency cases, when there is no time to perform an antibiogram or the cost of it could not be assumed. In particular, we highlight the use of this model aiming to become part of the convenient toolbox of Public Health research and decision-making in the design of the mitigation strategy of bacterial pathogens. [ABSTRACT FROM AUTHOR]

Published
2020
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