Thermal resistance of Listeria monocytogenes, Escherichia coli O157:H7 and Salmonella in animal fat - Kinetic analysis and mathematical modeling.

The objective of this study was to evaluate the effect of fat on thermal resistance of L. monocytogenes, E. coli O157:H7, and Salmonella spp.

Effect of oil exposure stages on the heat resistance of Salmonella enterica serovar Enteritidis phage type 30 in peanut flour.

The oil in low-moisture foods (LMFs) shows protective effects on bacteria during thermal processing. However, the circumstances under which this protective effect strengthens remain unclear. This study aimed to understand which step of the oil exposure to bacterial cells (inoculation, isothermal inactivation, or recovery and enumeration step) in LMFs can enhance their heat resistance.

Increased heat tolerance and transcriptome analysis of Salmonella enterica Enteritidis PT 30 heat-shocked at 42 ℃.

In this study, we compared the heat tolerance parameter (D) values of Salmonella enterica serovar Enteritidis PT 30 (S. Enteritidis ) heat adapted at different degrees (at 42 ℃ for 20-180 min) and cultivated using two methods. The treated group with the highest D value (LP-42 ℃-60 min) and the untreated groups (Control-TSB and Control-TSA) were subjected to transcriptome analysis.

The Effect of Serum Electrolyte Levels and Infusion Treatments on the Development of Femoral Central Venous Catheter-Associated Deep Vein Thrombosis in Pediatric Intensive Care Unit.

In this study, we aimed to determine the frequency of symptomatic central venous catheters-associated deep vein thrombosis (CVC-a DVT) among critically ill children with femoral vein implantation in our pediatric intensive care unit (PICU), and to compare the demographic factors, serum electrolyte levels, and types of the infusion treatments performed. A total of 215 patients aged 1 month to 18 years who had femoral CVC implanted between 2019 and 2021 were included in this study. The cases that were clinically symptomatic and had thrombosis diagnosed ultrasonography were accepted as CVC-a DVT (+), and the other cases were considered as CVC-a DVT (-).

Domain Adaptation for In-Line Allergen Classification of Agri-Food Powders Using Near-Infrared Spectroscopy.

The addition of incorrect agri-food powders to a production line due to human error is a large safety concern in food and drink manufacturing, owing to incorporation of allergens in the final product. This work combines near-infrared spectroscopy with machine-learning models for early detection of this problem. Specifically, domain adaptation is used to transfer models from spectra acquired under stationary conditions to moving samples, thereby minimizing the volume of labelled data required to collect on a production line.

Investigation of the best possible methods for wind turbine blade waste management by using GIS and FAHP: Turkey case.

The aim of this study is to present the status and projections of wind turbine blade retirement in Turkey; to investigate the number of retiring WT blades in the regional, manufacturer, and material aspects; and to discuss the management methods for retired WT blades. To determine the best possible wind turbine blade waste management methods for Turkey, a combined application of Geographical Information Systems (GIS) and the Fuzzy Analytical Hierarchy Process (FAHP) is used in this study. It is found that around nine thousand WT blades will become waste between 2020 and 2039 in Turkey, corresponding to around 80,500 tons of waste.