Effect of protective atmospheres on physicochemical, microbiological and rheological characteristics of sliced Mozzarella cheese - ScienceDirect
Export JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page., July 2012, Pages 465-470Author links open overlay panelShow moreAbstractMozzarella cheese slices packaged in bags of polyvinylidene chloride under vacuum (V) and using a gas mixture of equal parts of CO2 and N2 (G) were stored at 4 °C for 8 weeks and analysed at different storage times by physicochemical, microbiological and rheological characterization. Expected values of moisture, total nitrogen, soluble nitrogen at pH 4.6, and chloride contents and of pH were observed. The degradation of αs1-casein was greater than β-casein degradation, while no significant differences were observed due to the packaging methods. Coliform microorganisms were not detected, while levels of moulds and yeasts counts were acceptable. Expected values of total mesophile counts were obtained. The temperature at crossover moduli (Tc) was determined from temperature sweeps carried out by rheometry. Greater values of Tc were observed in samples G. The influence of temperature on complex viscosity was studied by an Arrhenius-type equation. Activation energy values were obtained from the solid-like region (20–40 °C) and liquid-like region (40–60 °C). A more rapid change in viscosity with temperature was observed when storage time increased and when storage method V was used.Highlights? MAP and vacuum packaging effect on characteristics of Mozzarella cheese is studied. ? Rheometrical assays related to melting properties were used. ? Rheological analysis was used for explaining differences found. ? Potentiality of rheometrical assay to study microstructural changes is emphasized.KeywordsMozzarella cheeseProtective atmospheresChoose an option to locate/access this article:Check if you have access through your login credentials or your institution.ororRecommended articlesCiting articles (0)Landscape Pattern Change and Its Driving Force of Nansihu Wetlands during --《Wetland Science》2013年04期
Landscape Pattern Change and Its Driving Force of Nansihu Wetlands during
XU Ji-DONG Ji-College of Environment and Spatial Informatics, China University of Mining and TJiangsu Key Laboratory of Resources and Environmental Information E
The change of landscape pattern and its driving forces in Nansihu wetlands were surveyed base on using the interpreted data of 5 remote sensing images in ,
and 2010. Annual precipitation and socioeconomic data(including the population growth, levels of industrialization and urbanization, and the living standards) and land-use landscape pattern map of the Nansihu wetlands from 2003 to 2010 were used in the study. These data were processed by remote sensing and geographic information system technology and the soft wares of ENVI 4.8, FRAGSTATS and SPSS. The results showed that under the double effect of climate change and human activities most of the natural wetlands were replaced by constructed wetlands from 1987 to 2010. The anti-interference ability and maintain self-stable ability of the Nansihu wetlands were degraded and landscape pattern the biodiversity of the study was also decreased seriously. From 1987 to 2010, the patch number continues to increase, the patch density increased from 0.4 to 0.6; the landscape shape index showed an upward trend and the landscape contagion index showed a downward tendency. The values of the Shannon landscape diversity index and Shannon landscape dominance index fluctuated nearby 1.48 and 0.7. The landscape pattern of the wetlands was affected by natural factors and human activities. The population and economic development level were the most impact influence factors from human activities on landscape pattern. The importance order of influence factors from human activities was fishery output value, the proportion of primary industry, population, non-agricultural population, rural per-capita net income, GDP(gross domestic product), per-capita GDP, and the proportion of secondary industry. This study could provide the theoretical basis for adjustment of the agricultural structure and the land use structure optimization study for local government.
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