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The presence of Salmonella in raw poultry is a well-recognized risk factor for foodborne illness. The objective of this study was to develop and validate a mathematical model that predicts the growth of Salmonella in raw poultry stored under aerobic conditions at a variety of temperatures. One hundred twelve Salmonella growth rates were extracted from 12 previously published studies. These growth rates were used to develop a square-root model relating the growth rate of Salmonella to storage temperature. Model predictions were compared to growth rate measurements collected in our laboratory for four poultry-specific Salmonella strains (two antibiotic-resistant and two nonresistant strains) inoculated onto raw chicken tenderloins. Chicken was inoculated at two levels (10(3) CFU/cm2 and < or = 10 CFU/cm2) and incubated at temperatures ranging from 10 to 37 degrees C. Visual inspection of the data, bias and accuracy factors, and comparison with two other published models were used to analyze the performance of the new model. Neither antibiotic resistance nor inoculum size affected Salmonella growth rates. The presence of spoilage microflora did not appear to slow the growth of Salmonella. Our model provided intermediate predicted growth rates when compared with the two other published models. Our model predicted slightly faster growth rates than those observed in inoculated chicken in the temperature range of 10 to 28 degrees C but slightly slower growth rates than those observed between 30 and 37 degrees C. Slightly negative bias factors were obtained in every case (-5 to -3%); however, application of the model may be considered fail-safe for storage temperatures below 28 degrees C.
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http://dx.doi.org/10.4315/0362-028x-71.12.2429 | DOI Listing |
Ann Surg Oncol
December 2024
Department of Cardiothoracic Surgery, Zhongshan City People's Hospital, Zhongshan, Guangdong, People's Republic of China.
Background: To clearly reveal the correlations between tumor characteristics, age at diagnosis, and epidermal growth factor receptor (EGFR) mutation rates in patients with pulmonary ground-glass opacities (GGOs).
Methods: We retrospectively reviewed 1473 patients with GGOs between January 2015 and May 2020 from two cancer centers. The tumor characteristics and EGFR mutation rates were compared between different age groups.
BMC Nephrol
December 2024
Faculty of Medicine, Department of Internal Medicine, Division of Nephrology, Dokuz Eylul University, Izmir, Turkey.
Background: The prevalence of chronic kidney disease (CKD) is increasing, reflecting the rising incidence of chronic diseases. With the continuous growth of the global geriatric population, a significant portion of individuals with CKD consists of those aged over 65. Regardless of the chosen treatment method, protein-energy loss in patients undergoing renal replacement therapy (RRT) has been associated with elevated morbidity and mortality rates.
View Article and Find Full Text PDFJ Transl Med
December 2024
Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Background: Increased ribosome biogenesis is required for tumor growth. In this study, we investigated the function and underlying molecular mechanism of ribosome biogenesis factor (RBIS) in the progression of non-small cell lung cancer (NSCLC).
Methods: In our study, we conducted a comprehensive analysis to identify key genes implicated in ribosome biogenesis by leveraging a Gene Set Enrichment Analysis (GSEA) dataset.
Zygote
December 2024
Division of Aquatic Environmental Management, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India.
Rainbow trout () is a promising cultivable fish species with significant potential for expansion. As a cold-water fish belonging to the Salmonidae family, it requires an optimal temperature range of 10-15°C for optimal growth. This study explores a method for producing sterile rainbow trout with maximum survival rates by using heat shock treatment to enhance growth characteristics and improve aquaculture practices.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
To explore the direct and indirect effects of organic fertilizer application on greenhouse gas emissions from agricultural soils, a total of 1228 groups of data from 129 published studies were selected. Meta-analysis was used to analyze the effects of organic fertilizer on global greenhouse gas emissions from agricultural soils and their influencing factors. Meanwhile, a structural equation model (SEM) was further constructed to quantify and determine the causal relationships between the factors.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!