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Article details
Title
Multiple microbial cell-free extracts improve the microbiological, biochemical and sensory features of ewes’ milk cheese
Published in
Food Microbiology, April 2017
DOI 10.1016/j.fm.2017.04.011
Pubmed ID
Authors
Abstract

This study used cell-free enzyme (CFE) extracts from Lactobacillus casei, Hafnia alvei, Debaryomyces hansenii and Saccharomyces cerevisiae to condition or accelerate Pecorino-type cheese ripening. Compositional, microbiological, and biochemical analyses were performed, and volatile and sensory profiles were obtained. Lactobacilli and cocci increased during ripening, especially in cheeses containing CFE from L. casei, H. alvei and D. hansenii (LHD-C) and L. casei, H. alvei and S. cerevisiae (LHS-C). Compared to control cheese (CC), several enzymatic activities were higher (P < 0.05) in CFE-supplemented cheeses. Compared to the CC (1907 mg kg(-1) of cheese), the free amino acid level increased (P < 0.05) in CFE-supplemented cheeses, ranging from approximately 2575 (LHS-C) to 5720 (LHD-C) mg kg(-1) of cheese after 60 days of CFE-supplemented ripening. As shown by GC/MS analysis, the levels of several volatile organic compounds were significantly (P < 0.05) lower in CC than in CFE-supplemented cheeses. All cheeses manufactured by adding multiple CFEs exhibited higher scores (P < 0.05) for internal structure, acid taste and juiciness than CC samples. This study shows the possibility of producing ewes' milk cheese with standardized characteristics and improved flavor intensity in a relatively short time.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 7 18%
Researcher 4 10%
Student > Ph. D. Student 3 8%
Other 1 3%
Lecturer 1 3%
Other 4 10%
Unknown 19 49%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 11 28%
Biochemistry, Genetics and Molecular Biology 4 10%
Veterinary Science and Veterinary Medicine 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Unknown 20 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2017.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from Food Microbiology
#1,342
of 1,852 outputs
Outputs of similar age
#233,681
of 323,703 outputs
Outputs of similar age from Food Microbiology
#18
of 33 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,703 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.