Droplet size, polydispersity, physical and polymorphic stability of milk fat nanoemulsions produced by hot high-pressure homogenization and stabilized by whey protein isolate (WPI pH 4.0 or 7.0) or sodium caseinate (NaCas pH 7.0) were evaluated for 60 days of storage at 25 °C. Smaller droplets were observed for the NaCas pH 7.0 nanoemulsion, which also showed a lower polydispersity index, resulting in a stable emulsified system for 60 days. On the other hand, the nanoemulsion with bigger droplet size (WPI pH 4.0) showed reduced stability, probably due to the pH near the isoelectric point of the whey proteins. The nanostructured milk fat exhibited the same melting behavior as the bulk milk fat, with a balance between liquid and crystallized fat, and crystals in polymorphic form β'. This could be an advantage concerning the application of the system for delivery of bioactive compounds and improvement of the sensory properties of fat-based food. In summary, nanoemulsions stabilized by NaCas (pH 7.0) showed higher kinetic stability over the storage time, which from a technological application point of view is a very important factor in the food industry.
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http://dx.doi.org/10.1007/s13197-020-04362-0 | DOI Listing |
Sci Rep
December 2024
College of Animal Science and Technology, Shandong Agricultural University, Tai'an, 271018, China.
VPS28 (vacuolar protein sorting 28) is a subunit of the endosomal sorting complexes required for transport (ESCRTs) and is involved in ubiquitination. Ubiquitination is a critical system for protein degradation in eukaryotes. Considering the recent findings on the role of ubiquitination in the regulation of lipid metabolism, we hypothesized that VPS28 might affect the expression of genes involved in milk fat synthesis.
View Article and Find Full Text PDFJ Food Sci
December 2024
College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
As consumers increasingly prioritize food safety and nutritional value, the dairy industry faces a pressing need for rapid and accurate methods to detect essential nutritional components in milk, such as fat, protein, and lactose. Hyperspectral imaging (HSI) technology, known for its non-destructive, fast, and precise nature, shows great promise in food quality assessment. However, the high dimensionality of HSI data poses challenges for effective band selection and model optimization.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Anthropology, University of South Florida, 4202 E. Fowler Ave. SOC107, Tampa, FL, 33620, USA.
Milk anti-inflammatory compounds are ubiquitous in milk but vary greatly within and between populations. The causes of this variation and how this variation impacts infant phenotype is not well-characterized. The goal of this study was to explain how maternal characteristics across two disparate populations impact the levels of TGF-β2 and IL-1ra in human milk.
View Article and Find Full Text PDFAnimal
December 2024
Institute of Animal Science and Technology, Universitat Politècnica de València, Camino de Vera, s/n. 46022 Valencia, Spain.
Genetic selection for growth rate has often been related with potential negative effects on various reproductive traits across different species. Using rabbit as a model, this study has evaluated for the first time how genetic selection for growth rate has affected feed efficiency, resource allocation, blood traits, reproductive performance and survival during five reproductive cycles in rabbit does. To this end, we used 88 reproductive rabbit females from two vitrified and rederived populations of the same paternal line, differing only in 18 generations of genetic selection for growth rate (n = 44 for R19V and n = 44 for RV37V).
View Article and Find Full Text PDFVet Sci
December 2024
Faculty of Veterinary Science, University of Thessaly, 43100 Karditsa, Greece.
This study aimed to investigate the incidence of subclinical mastitis (SCM), the implicated pathogens, and their impact on milk quality in dairy sheep in Greece. Furthermore, we preliminarily evaluated infrared thermography and the application of AI tools for the early, non-invasive diagnosis of relevant cases. In total, 660 milk samples and over 2000 infrared thermography images were obtained from 330 phenotypically healthy ewes.
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