Objectives: To quantify salmonellosis risk in humans through consumption of boiled pork in urban Hung Yen Province, Vietnam, using a quantitative microbial risk assessment.
Methods: We collected 302 samples along the pork value chain in Hung Yen between April 2014 and February 2015. We developed a model in @Risk, based on microbiological, market, and household surveys on cooking, cross-contamination and consumption, and conducted sensitivity analysis.
Results: Salmonella prevalence of pen floor swabs, slaughterhouse carcasses and cut pork were 33.3, 41.7 and 44.4%, respectively. The annual incidence rate of salmonellosis in humans was estimated to be 17.7% (90% CI 0.89-45.96). Parameters with the greatest influence risk were household pork handling practice followed by prevalence in pork sold in the central market. Wide confidence interval in the incidence estimate was mainly due to the variability in the degree of reduction in bacteria concentration by cooking, and pork consumption pattern.
Conclusions: The risk of salmonellosis in humans due to boiled pork consumption appears to be high. Control measures may include improving the safety of retailed pork and improving household hygiene.
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http://dx.doi.org/10.1007/s00038-016-0921-x | DOI Listing |
Environ Sci Technol
January 2025
Stockbridge School of Agriculture, University of Massachusetts, Amherst, Massachusetts 01003, United States.
This study investigated the effects of fine-sized pork bone biochar particles on remediating As-contaminated soil and alleviating associated phytotoxicity to rice in 50-day short-term and 120-day full-life-cycle pot experiments. The addition of micro-nanostructured pork bone biochar (BC) pyrolyzed at 400 and 600 °C (BC400 and BC600) significantly increased the As-treated shoot and root fresh weight by 24.4-77.
View Article and Find Full Text PDFRapid detection of pork quality has garnered increasing attention due to its status as one of the most widely consumed meats in the world. This study developed an electrochemical impedance combined with sensory evaluation method to achieve real-time imaging and quality assessment of pork. The optimal parameters for pork detection were determined through system performance tests and a Design of Experiment, which included the use of an adjacent excitation pattern, an excitation current of 15 mA at 10 kHz, a detector diameter of 5 cm, and stainless-steel electrodes embedded in the pork.
View Article and Find Full Text PDFEpidemiol Infect
January 2025
Gastroenterology Department, Nazareth Hospital EMMS, Azrieli Faculty of Medicine, Bar Ilan University, Ramat-Gan, Israel.
Hepatitis E virus (HEV) is one of the most common causes of viral hepatitis. We examined HEV seroprevalence and associations of sociodemographic and lifestyle characteristics with HEV immunoglobulin G (IgG) seropositivity in the Arab population. A cross-sectional single-centre study was conducted among adults in the Nazareth area during 2022.
View Article and Find Full Text PDFMeat Sci
January 2025
Department of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea. Electronic address:
This study evaluated the performance of a deep-learning-based model that predicted cooking loss in the semispinalis capitis (SC) muscle of pork butts using hyperspectral images captured 24 h postmortem. To overcome low-scale samples, 70 pork butts were used with pixel-based data augmentation. Principal component regression (PCR) and partial least squares regression (PLSR) models for predicting cooking loss in SC muscle showed higher R values with multiplicative signal correction, while the first derivative resulted in a lower root mean square error (RMSE).
View Article and Find Full Text PDFAppetite
January 2025
Faculty of Business and Law, Curtin University, Perth, Western Australia, Australia.
Climate change is an emerging global reality with widespread effects on ecosystems and human communities. However, its significant impact on livestock animals often goes underdiscussed as more focus is given to impact of livestock production on climate change. Implementing high-welfare systems, such as digital monitoring of animals, can help mitigate climate-related challenges by reducing temperature fluctuations and controlling disease spread.
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