Brucellosis is known as an influential zoonosis in different regions worldwide, with significant effects on the reproductive performance of livestock. Considering the high incidence of brucellosis in dairy products and further negative impacts on food safety, the present study was aimed to systematically investigate prevalence worldwide among published data regarding the identification of Brucella spp. in dairy products. In this regard, some databases, i.e., Scopus, PubMed, Embase, and Web of Science have been searched to retrieve all related articles regarding the incidence of Brucella contaminations in dairy products from 1 January 1983 to 1 April 2019. The prevalence of Brucella spp. in unpasteurized dairy products based on countries, WHO regions, and dairy product subgroups were evaluated and statistically compared. Based on the findings, the prevalence of Brucella spp. in dairy products increased while the GDP (C = 0.17, P-value < 0.001) and HDI (C = 0.19, P-value < 0.001) ranking decreased. Also, the highest prevalence of Brucella contamination in dairy products was noted in buffalo (25.91%) and goat (17.90%), respectively. The lowest and highest prevalence of Brucella spp. were observed in the Western Pacific (15.32%) and the Southeast Asia region (25.55%), respectively. Also, the rank order of WHO regions based on odds ratio (OR) was Southeast Asia region (2.84) > Eastern Mediterranean (2.41) > Region of America (1.65) > European Region (1.54) > Africa region (1.46) > Western Pacific (reference). The results of this study showed that decreasing poverty and an increase in the level of education in societies could reduce the prevalence of Brucella spp. in dairy products. The outcome of the current investigation can be used for the implementation of sustainable intervention and prevention strategies in affected regions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.foodres.2019.108775 | DOI Listing |
Mol Nutr Food Res
January 2025
College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi, China.
Fecal microbiota transplantation (FMT) could significantly alter the recipient's gut bacteria composition and attenuate obesity and obesity-related metabolic syndromes. DL-norvaline is a nonproteinogenic amino acid and possesses anti-obesity potential. However, the specific mechanisms by which gut microbiota might mediate beneficial effects of DL-norvaline have not been completely elucidated.
View Article and Find Full Text PDFPeerJ
January 2025
Department of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Lactic acid bacteria (LAB), known for their health benefits, exhibit antimicrobial and antibiofilm properties. This study investigated the cell-free supernatant (CFS) of spp., particularly KR3, against the common foodborne pathogens , and spp.
View Article and Find Full Text PDFVet Res Commun
January 2025
Laboratório de Protozoologia, Instituto Oswaldo Cruz/Fiocruz, Rio de Janeiro, RJ, Brasil.
Goats are the one of the most susceptible domestic species to toxoplasmosis affecting animal health and production. The present study aimed to determine the seroprevalence of T. gondii infection in dairy goats from Rio de Janeiro, Brazil, as well as to evaluate associated risk factors, parasitic DNA detection in raw goat milk samples, and attempts to isolate the parasite from raw goat milk samples.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
Riddet Institute, Private Bag 11 222, Palmerston North 4442, New Zealand. Electronic address:
The nutritional value of any food product has historically been measured by the calorific value of individual components, harking back to the days of the development of the bomb calorimeter. A fuller understanding of nutrition later took into account the need for specific components, such as proteins, carbohydrates, vitamins and minerals, that ere known to be required for good human health and growth. In milk and milk products, these include casein and whey proteins, lactose, milk fat triacylglycerides, minor lipid components (both charged and neutral), calcium, and micronutrients.
View Article and Find Full Text PDFFood Chem
December 2024
Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences (CAAS), Beijing 100193, PR China. Electronic address:
To preemptively predict unknown protein adulterants in food and curb the incidence of food fraud at its origin, data-driven models were developed using three machine learning (ML) algorithms. Among these, the random forest (RF)-based model achieved optimal performance, achieving accuracies of 96.2 %, 95.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!