The influence of the wooden equipment used for the traditional cheese manufacturing from raw milk was evaluated on the variations of chemico-physical characteristics and microbial populations during the ripening of Caciocavallo Palermitano cheese. Milk from two farms (A, extensive; B, intensive) was processed in traditional and standard conditions. Chemical and physical traits of cheeses were affected by the farming system and the cheese making technology, and changed during ripening. Content in NaCl and N soluble was lower, and paste consistency higher in cheese from the extensive farm and traditional technology, whereas ripening increased the N soluble and the paste yellow and consistency. The ripening time decreased the number of all lactic acid bacteria (LAB) groups, except enterococci detected at approximately constant levels (10(4) and 10(5) cfu g(-1) for standard and traditional cheeses, respectively), till 120 d of ripening. In all productions, at each ripening time, the levels detected for enterococci were lower than those for the other LAB groups. The canonical discriminant analysis of chemical, physical and microbiological data was able to separate cheeses from different productions and ripening time. The dominant LAB were isolated, phenotypically characterised and grouped, genetically differentiated at strain level and identified. Ten species of LAB were found and the strains detected at the highest levels were Pediococcus acidilactici and Lactobacillus casei. Ten strains, mainly belonging to Lactobacillus rhamnosus and Lactobacillus fermentum showed an antibacterial activity. The comparison of the polymorphic profiles of the LAB strains isolated from the wooden vat with those of the strains collected during maturation, showed the persistence of three enterococci in traditional cheeses, with Enterococcus faecalis found at dominant levels over the Enterococcus population till 120 d; the absence of these strains in the standard productions evidenced the contribution of vat LAB during Caciocavallo Palermitano cheese ripening.
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http://dx.doi.org/10.1016/j.fm.2014.07.008 | DOI Listing |
Health Technol Assess
December 2024
Usher Institute, University of Edinburgh, Edinburgh, UK.
Background: Around one in three pregnant women undergoes induction of labour in the United Kingdom, usually preceded by in-hospital cervical ripening to soften and open the cervix.
Objectives: This study set out to determine whether cervical ripening at home is within an acceptable safety margin of cervical ripening in hospital, is effective, acceptable and cost-effective from both National Health Service and service user perspectives.
Design: The CHOICE study comprised a prospective multicentre observational cohort study using routinely collected data (CHOICE cohort), a process evaluation comprising a survey and nested case studies (qCHOICE) and a cost-effectiveness analysis.
Medicine (Baltimore)
December 2024
Department of Obstetrics and Gynecology, Taixing People's Hospital, Taixing, China.
The timing of amniotomy after the Foley balloon catheter removal is crucial for successful labor induction. This study aimed to assess the effects of the Bishop score on the timing of amniotomy in patients undergoing labor induction after the Foley balloon catheter removal. This was a retrospective cohort study based on electronic medical records.
View Article and Find Full Text PDFBMC Plant Biol
December 2024
College of Tobacco, Guizhou University, Guiyang, 550025, PR China.
Background: The degree of yellowing in tobacco leaves is an important indicator for determining the maturity and harvesting time of tobacco leaves. Decreasing chlorophyll levels helps speed up the ripening process of tobacco leaves for easier mechanical harvesting. Identifying and utilizing genes that regulate yellowing in tobacco leaves are crucial for developing tobacco varieties suitable for mechanized harvesting and understanding the molecular processes that control leaf color changes.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
September 2024
Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences Changchun 130112, China College of Pharmacy and Biological Engineering, Chengdu University Chengdu 610106, China.
To explore the difference in metabolism and transcription between seeds experiencing space flight and ground seeds after morphological post ripening, this study utilized ginseng seeds experiencing space flight and ground seeds as materials. Metabolomics and transcriptomics analyses were conducted using ultra-high performance liquid chromatography-mass spectrometry(UPLC-MS) and high-throughput transcriptome sequencing(RNA-seq) technologies, so as to identify differential terpenoid metabolites, differential endogenous hormones, and differentially expressed genes. The results showed that through metabolomics analysis, a total of 22 differential terpenoid metabolites were identified in the experimental and control groups, including chikusetsusaponin FK_7, ginsenoside F_2, ginseno-side K, majoroside R_1, ginsenoside Re_5, 12-hydroxyabietic acid, etc; through transcriptomics analysis, 15 differential terpenoid metabolism-related differentially expressed genes were identified in the experimental and control groups, including FCase, AACT, PMK, etc, and these genes were integrated into the pathway based on the MEP and MVA.
View Article and Find Full Text PDFJ Exp Bot
December 2024
UMR AGAP, Montpellier University, CIRAD, INRAe, Institut Agro, 34060, 2 Place Viala, Montpellier, France.
By revealing that the grape berry loses one H+ per accumulated sucrose at the inception of ripening, adopting a single fruit paradigm elucidates the fundamentals of the malate-sugar nexus, previously obscured by asynchrony in population-based models of ripening. More broadly, the development of the individual fruit was revisited from scratch to capture the simultaneous changes in gene expression and metabolic fluxes in a kinetically relevant way from flowering to overripening. Dynamics in water, tartrate, malate, hexoses, and K+ fluxes obtained by combining individual single fruit growth and concentration data allowed to define eleven sub-phases in fruit development, which distributed on a rigorous curve in RNAseq PCA.
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