El-klila, Jben, Rayeb and Lben are artisanal dairy products typical of the North African region. These products are considered a good source of nutrients and a vector par excellence of indigenous lactic acid bacteria with significant technological and therapeutic potential. In this study, fifty-two Lactobacillus isolates from traditional dairy products (El-Klila, Jben and Rayeb) from the Ain Sefra region (southwestern of Algeria) were identified by phenotypic, genotypic and MALDI-TOF mass spectrometry methods. Phenotypic characterization allowed dividing the isolates into two groups: 7.69% of isolates mesophilic and strict heterofermentative and 92.31% isolates mesophilic and optional heterofermentative. The isolates identification by sequencing 16S rDNA was performed using the universal primers w02 and w18. Comparing the sequences of the isolates with the GenBank database (NCBI) revealed a high percentage with five species of Lactobacillus. Of the 52 isolates, thirteen were identified as Lactobacillus paracasei, four isolates were L. brevis, five isolates were L. rhamnosus and ten isolates were L. plantarum. The lasting twenty isolates were related, at the same time, to the plantarum species and the pentosus species. The use of MALDI-TOF mass spectrometry confirmed the identity of 36 strains of Lactobacillus. Of the 20 isolates related to the plantarum / pentosus group by 16S rDNA, 50% were identified as L. plantarum. Finally, the results of the two combined methods allowed us to correctly identify 80.76% of the Lactobacillus isolates at the genus and species level. The analysis by MALDI-TOF SM has proved to be a very reliable, fast (less than an hour) and inexpensive tool for identifying native Lactobacillus species from artisanal dairy products. This method can constitute a major tool for the study of the microbial biodiversity of artisanal food products.
The petroleum industry in Algeria takes a predominant place in the econo-my. This industry amplifies the environmental contamination and affects microbial diversity of soils. Bioremediation is a cost-effective and efficient process for removing hydrocarbon pollutants. The aim of the study was to isolate cultivable telluric bacteria and to assess their potential as bioremedi-ation agents against the contamination of petroleum hydrocarbons. Crude oil polluted soil samples were taken from different oil refinery in Algeria. Elemental analysis was determined by inductively coupled plasma optical emission spectrometry (ECP-OES). The screening of bacteria degrading hy-drocarbons was studied with oil spreading technique on mineral salt medium (MSM agar) supplemented with crude oil as the only carbon source and en-ergy for direct visualization of clear zones on agar plates. Among the isolates, ten were selected for their degradation potential based on their large clear zone (from 0.5 to 3.2 Cm) for phenotypic and genotypic characterization. Molecular identification was performed by sequencing the gene encoding 16s rRNA. The comparison of sequences with GenBank database showed similarity with different strains Aeromonas hydrophila, Stenotrophomonas maltophilia, Enterobacter xiangfangensis, Pseudomonas aeruginosa, Serratia marcescens, and Raoultella sp. These results are significant for the applica-tion of these isolates at the environmental scale in bioremediation of pollut-ed soils.
This study aims to determine the chemical composition and evaluate the antibacterial activity of the essential oil of leaves dry lavender (Lavandula officinalis). The analysis of the essential oil indicates the presence of terpenes, tannins, saponins, flavonoids, alkaloid, coumarins, and the absence of anthocyanins. Furthermore, of the oil's antimicrobial activity was evaluated using agar diffusion and broth microdilution methods. The antimicrobial test results showed that the oil had antimicrobial activity against all 8 microorganisms strains included in the study. Results suggest antimicrobial properties of the Lavandula officinalis essential oil, which may find its application in future research for the pharmaceutical industry.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.