Predictive microbiology was utilized to model Staphylococcus aureus （S. aureus） growth and staphylococcal enterotoxin A （SEA） production in milk in this study. The modifed logistic model, modifed Gompertz model an...Predictive microbiology was utilized to model Staphylococcus aureus （S. aureus） growth and staphylococcal enterotoxin A （SEA） production in milk in this study. The modifed logistic model, modifed Gompertz model and Baranyi model were applied to model growth data of S. aureus between 15℃ and 37℃. Model comparisons indicated that Baranyi model described the growth data more accurately than two others with a mean square error of 0.0129. Growth rates generated from Baranyi model matched the observed ones with a bias factor of 0.999 and an accuracy factor of 1.01, and ft a square root model with respect to temperature; other two modifed models both overestimated the observed ones. SEA amount began to be detected when the cell number reached106.4 cfu ？ mL-1, and showed the linear correlation with time. Besides, the rate of SEA production ftted an exponential relationship as a function of temperature. Predictions based on the study could be applied to indicate possible growth of S. aureus and prevent the occurrence of staphylococcal food poisoning.展开更多
Data from high-resolution satellites were used to evaluate the spatial and temporal distribution of mesoscale convective vortices(MCVs) in central and east China and the western Pacific Ocean region. The monthly varia...Data from high-resolution satellites were used to evaluate the spatial and temporal distribution of mesoscale convective vortices(MCVs) in central and east China and the western Pacific Ocean region. The monthly variation in MCVs was significant. From May to October, MCVs were clearly affected by large-scale environmental conditions,including the South Asian summer monsoon, subtropical high and solar radiation, which resulted in clear changes in MCV spatial distributions from strengthening and weakening processes. Based on the analysis of diurnal MCV variations and the precipitation rate from May to October, MCVs were found to occur more frequently over the ocean than over land. MCVs near the Sea of Japan and northern South China Sea occurred during all types of weather. Ocean occurrences near land, such as the Ryukyu Islands, were categorized as morning-active MCVs. The hilly regions of southeastern China and North China Plain were characterized by afternoon-active MCVs. Limited to topography and the urban heat island effect, the Beijing-Tianjin-Tangshan area had evening-active MCVs, while Changbai Mountain had nocturnal MCVs.展开更多
基金Supported by"Academic Backbone"Project of Northeast Agricultural University(15XG26)the National High-level Talents Special Support Program of China
文摘Predictive microbiology was utilized to model Staphylococcus aureus （S. aureus） growth and staphylococcal enterotoxin A （SEA） production in milk in this study. The modifed logistic model, modifed Gompertz model and Baranyi model were applied to model growth data of S. aureus between 15℃ and 37℃. Model comparisons indicated that Baranyi model described the growth data more accurately than two others with a mean square error of 0.0129. Growth rates generated from Baranyi model matched the observed ones with a bias factor of 0.999 and an accuracy factor of 1.01, and ft a square root model with respect to temperature; other two modifed models both overestimated the observed ones. SEA amount began to be detected when the cell number reached106.4 cfu ？ mL-1, and showed the linear correlation with time. Besides, the rate of SEA production ftted an exponential relationship as a function of temperature. Predictions based on the study could be applied to indicate possible growth of S. aureus and prevent the occurrence of staphylococcal food poisoning.
基金Special Program for Basic Research of Science and Technology of China(GYHY201106035)Key Project of Zhejiang Meteorological Bureau(2017ZD16)Special Program of State Grid(SGZJ0000KJJS1600445)
文摘Data from high-resolution satellites were used to evaluate the spatial and temporal distribution of mesoscale convective vortices(MCVs) in central and east China and the western Pacific Ocean region. The monthly variation in MCVs was significant. From May to October, MCVs were clearly affected by large-scale environmental conditions,including the South Asian summer monsoon, subtropical high and solar radiation, which resulted in clear changes in MCV spatial distributions from strengthening and weakening processes. Based on the analysis of diurnal MCV variations and the precipitation rate from May to October, MCVs were found to occur more frequently over the ocean than over land. MCVs near the Sea of Japan and northern South China Sea occurred during all types of weather. Ocean occurrences near land, such as the Ryukyu Islands, were categorized as morning-active MCVs. The hilly regions of southeastern China and North China Plain were characterized by afternoon-active MCVs. Limited to topography and the urban heat island effect, the Beijing-Tianjin-Tangshan area had evening-active MCVs, while Changbai Mountain had nocturnal MCVs.
