An analytical method based on a sample treatment by dispersive liquid-liquid microextraction (DLLME) followed by ultra high performance liquid chromatography-tandem mass spectrometry analysis (UHPLC-MS/MS) for the determination of 17 quinolones and 14 β-lactams (penicillins and cephalosporins) in raw cow milk, was validated according to the European Commission guidelines as cited in the Decision 2002/657/EC. The extraction efficiency of the DLLME depends on several parameters such as the nature and volumes of extractant and dispersive solvents, pH, concentration of salt, shaking time and time of centrifugation. These variables were accurately optimized using multivariate optimization strategies. A Plackett-Burman design to select the most influential parameters and a Doehlert design to obtain the optimum conditions have been applied. Two different pH values were used for the extraction of compounds (pH 3 for acidic quinolones and β-lactams and pH 8 for amphoteric quinolones). The method was validated using matrix-matched standard calibration followed by a recovery assay with spiked samples. The limits of quantification found ranged from 0.3 ng g(-1) for amoxicillin to 6.6 ng g(-1) for ciprofloxacin, and the precision was lower than 15% in all cases as is required by the European Regulation. The decision limits (CCα) ranged between 4.1 and 104.8 ng g(-1), while detection capabilities (CCβ) from 4.2 to 109.7 ng g(-1). These values were very close to the corresponding maximum residue limits (MLRs) for the studied antibiotics. Recoveries between 72 and 110% were also obtained. Finally, in order to evaluate the applicability of the method, 28 raw cow milk samples were analysed and it was observed that 28% of the samples were positive. However, only 11% were considered non-compliant with the current EU legislation (Commission Regulation 37/2010), due to some milk samples corresponded to treated cows with these antibiotics.
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http://dx.doi.org/10.1016/j.chroma.2014.06.034 | DOI Listing |
Mol Divers
January 2025
Department of Chemistry, National Institute of Technology Calicut, Kozhikode, 673601, Kerala, India.
Quinoline is a highly privileged scaffold with significant pharmacological potential. Introducing a carbonyl group into the quinoline ring generates a quinolone ring, which exhibits promising biological properties. Incorporating a carboxamide linkage at different positions within the quinoline and quinolone frameworks has proven an effective strategy for enhancing pharmacological properties, particularly anticancer potency.
View Article and Find Full Text PDFJ Bacteriol
January 2025
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Not only do surface-growing microbes such as biofilms display specific traits compared to planktonic cells, but also they display many heterogeneous behaviors over many spatial and temporal contexts. While the application of molecular genetics tools to extract or visualize gene expression or regulatory function data is now common in studying surface growth, the use of analytical chemistry tools to visualize the spatiotemporal distribution of chemical products synthesized by these surface microbes is less common. Here, we review chemical imaging tools that have been used to inform our understanding of surface-growing microbes.
View Article and Find Full Text PDF(), a Gram-negative bacterium commonly found in aquatic environments, has the capacity to be transmitted to humans through consumption of contaminated fish, water, or seafood. In this study, we present a case report concerning a 77-year-old female patient who experienced an acute exacerbation of chronic heart failure, subsequently developing severe septic shock due to necrotizing fasciitis caused by . Infections caused by are more prevalent during warmer months, particularly in regions characterized by dense aquaculture or the presence of natural water bodies.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Maccabi Healthcare Services, Tel Aviv, 6812509, Israel.
Urinary tract infections (UTIs) often prompt empiric outpatient antibiotic prescriptions, risking mismatches. This study evaluates the impact of "UTI Smart-Set" (UTIS), an AI-driven decision-support tool, on prescribing patterns and mismatches in a large outpatient organization. UTIS integrates machine learning forecasts of antibiotic resistance, patient data, and guidelines into a user-friendly order set for UTI management.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medical & Health Sciences Tel Aviv University, Tel Aviv, Israel.
Antibiotic resistance is influenced by prior antibiotic use, but precise causal estimates are limited. This study uses penicillin allergy as an instrumental variable (IV) to estimate the causal effect of antibiotics on resistance. A retrospective cohort of 36,351 individuals with E.
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