ArticleGerms2021
Antibiotic resistance profile and detection of degradative enzymes by Enterobacteriaceae isolated from raw goat milk.
Article in Germs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 12 citations in OpenAlex.
- Prevalence, antibiotic resistance patterns, and biofilm formation ability ofVeterinary world · 2023Article
- Serbian Traditional Goat Cheese: Physico-Chemical, Sensory, Hygienic and Safety Characteristics.Microorganisms · 2021Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEnterobacteriaceae are often reported as a typical bacterial population in raw milk from any mammalian origin. The frequent concern with bacteria, especially those related to this group of microorganisms, is their increasing resistance to antibiotics and the emergence of enzymes that degrade them. This study aimed to characterize isolates of Enterobacteriaceae from raw goat milk to expose associated safety problems and possible technological challenges.
methodsIsolates from 21 raw goat milk samples purchased in the State of Rio de Janeiro, Brazil, were identified by mass spectrometry, after isolation on Violet Red Bile Glucose agar. The isolates were subjected to evaluation of proteolytic, lipolytic, hemolytic, and biofilm producing activities. Furthermore, resistance profiles and production capacity of enzymes that degrade antimicrobials were evaluated.
resultsAlmost half of the 59 isolates (48%) belonged to the
conclusionsA considerable degree of virulence was observed in the Enterobacteriaceae isolates, as well as the potential for undesirable technological damage. The characterization and identification of the isolates contributes to the improvement of the risk monitoring process of goat's milk.
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