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1.
J Appl Microbiol ; 103(4): 1128-39, 2007 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-17897218

RESUMO

AIMS: The microbial and chemical composition of seven different semi-ripened (45 days) Provola dei Nebrodi Sicilian cheese samples were assessed in order to investigate the diversity of the microbial population in cheese made from different geographical areas throughout Sicily. METHODS AND RESULTS: The samples, which were obtained from seven different Provola dei Nebrodi manufacturers, were assessed using selective media. Interestingly, concentrations of presumptive lactobacilli represented over 90% of the total microbial population. In total, 105 presumptive Lactobacillus isolates were characterized to determine the relatedness of the isolates between the seven different cheeses. Randomly amplified polymorphic DNA polymerase chain reaction (RAPD PCR) analysis of the 105 presumptive lactobacilli indicated the presence of 22 distinct isolates. Further investigation of the isolates using pulsed field gel electrophoresis (PFGE) following restriction with the enzyme ApaI revealed the presence of 19 distinct macrorestriction patterns and the presence of between one and four distinct isolates per cheese sample (out of a total of 15 isolates per cheese randomly taken from Lactobacillus selective media plates). Analysis of the 16S rDNA sequence of each genetically distinct isolate demonstrated the dominance of the Lactobacillus casei species in all cheese samples assessed. Lactobacillus delbrueckii and Pediococcus pentosaceus species were also detected. The concentration of free amino acids, used to estimate the extent of proteolysis in each cheese, ranged from 59 to 433 mg 100 g(-1) cheese. CONCLUSIONS: Microbiological assessment of the cheeses demonstrated the dominance of Lactobacillus species after 45 days of ripening with levels ranging from 8.3 to 9.4 log CFU g(-1). SIGNIFICANCE AND IMPACT OF THE STUDY: This study provides new information on the diversity of lactobacilli within an artisanal Sicilian cheese, enabling the identification of 17 strains of Lact. casei, one strain of Lact. delbrueckii and Ped. pentosaceus through the combined use of RAPD PCR, PFGE and 16S rDNA sequencing.


Assuntos
Queijo/microbiologia , Microbiologia de Alimentos , Técnicas de Tipagem Bacteriana/métodos , Biodiversidade , Aminas Biogênicas/análise , Queijo/análise , Contagem de Colônia Microbiana , DNA Bacteriano/genética , Eletroforese em Gel de Campo Pulsado/métodos , Ácidos Graxos/análise , Análise de Alimentos/métodos , Lactobacillus/classificação , Lactobacillus/isolamento & purificação , Reação em Cadeia da Polimerase/métodos , RNA Bacteriano/genética , RNA Ribossômico 16S/genética
2.
Anal Bioanal Chem ; 380(7-8): 930-6, 2004 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-15700171

RESUMO

A headspace solid-phase microextraction (HS-SPME) method in combination with gas chromatography-mass spectrometry (GC-MS) has been used for extraction and identification of components of the volatile fraction of "Provola dei Nebrodi", a typical semi-hard Sicilian cheese. Cheese samples from different producers and at different ripening stages have been examined. The effects of various conditions (e.g. sample volume, sample headspace volume, sample heating temperature, extraction time, etc.) on extraction efficiency were studied in order to optimise the technique. The technique used made it possible to identify 61 components: fatty acids from C(2) to C(14) and their esters, aldehydes, alcohols, methyl ketones, delta-lactones, aromatic compounds, hydrocarbons and terpenes. The main components were butanoic, hexanoic and octanoic acids. The linear free fatty acids (FFA) from C(2) to C(10) were quantified by using the standard addition method. Calibration curves constructed for the FFA spiked into cheese were highly linear with a correlation coefficient R(2) > 0.998. Significant statistical differences (P> or =0.05) were evident for the even-carbon-number fatty acids during ripening.


Assuntos
Queijo/análise , Animais , Calibragem , Ácidos Graxos não Esterificados/análise , Ácidos Graxos Voláteis/análise , Cromatografia Gasosa-Espectrometria de Massas/métodos , Proteínas do Leite/análise , Padrões de Referência , Análise de Regressão , Temperatura , Fatores de Tempo
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