Search Results (1,477)

Human milk contains a wide variety of proteins, possessing antimicrobial and immunomodulatory activities, which are essential for normal infant growth. Over the past few years, the widespread interest in milk’s nutritional quality and its association with infant health care has led to scientific research on the composition of different milk types. In this study, the similarity between protein content in human and donkey milk during the ninth-month lactation period is estimated. Our results demonstrate that donkey milk may be a valid substitute for cow’s milk to supplement the nutrition of allergic children. Full article

This review highlights the anti-hyperglycemic and antidiabetic properties of camel and dromedary milk (CM). Diabetes mellitus poses a significant global health challenge, and strategies that reduce reliance on insulin or other medications could substantially improve patient management. CM could represent a promising complementary approach due to its established antidiabetic effects, which are supported by its unique biological characteristics. Compared to other common milks, such as bovine milk, CM contains higher concentrations of insulin. Its distinctive physicochemical and microstructural properties help protect insulin and other bioactive proteins from degradation in the gastrointestinal tract, thereby enhancing their intestinal absorption. Furthermore, peptides generated during CM protein digestion may exert direct or indirect effects on the liver and pancreas, contributing to improved glucose metabolism. These beneficial actions are further supported by CM’s antioxidant and antilipidemic properties, which may help mitigate diabetes-related complications, including renal dysfunction and skin lesions. Full article

Four Botryosphaeria spp. isolated from apple with dieback symptoms, Diplodia mutila, Diplodia seriata, Neofusicoccum arbuti, and Lasiodiplodia theobromae, were subjected to different conditions to induce sporulation, then freeze-dried and stored in glass vials and ampoules at a temperature of 4 ° C using two protective media (skimmed milk powder in water at 20% and a mixture of skimmed milk powder at 20% plus 5% inositol). Viability was assessed after storage periods of 1, 90, 180, and 365 days. Low-nutrient growth conditions on 2% water agar supplemented with pine needles, incubated under UV light (λ = 350 nm) and at 24 ° C, effectively stimulated sporulation of all four Botryosphaeriaceae species. The survival rate of the isolates was similar. Overall viability showed slight but significant differences depending on the type of protective medium and storage container used for the freeze-dried cultures (p < 0.001). Among the tested media, the highest viability was maintained in vacuum-sealed glass ampoules using either a medium containing 20% skimmed milk powder with 5% inositol or 20% skimmed milk powder alone. Full article

Lactic acid bacteria are beneficial for food biopreservation by inhibiting not only bacteria but also fungi. However, reports on the control of fungi, especially yeasts, by lactic acid bacteria are limited. In this study, strain 3121M0s derived from Mongolian traditional fermented milk, airag, was selected with relatively high antiyeast activity among 236 strains, and identified as Lactiplantibacillus plantarum. The activity was exhibited under acidic conditions and remained stable after heating. It was also highly resistant to catalase and proteases, indicating that the primary antiyeast substances of 3121M0s were neither H₂O₂ nor peptides. Then, organic acids (lactic acid, acetic acid, 4-hydroxyphenyllactic acid, 4-hydroxybenzoic acid, and 3-phenyllactic acid) were detected and quantified in the ethyl acetate extract of the 3121M0s culture supernatant. Among them, only acetic acid showed antiyeast activity on its own, and the activity was enhanced by lactic acid or 3-phenyllactic acid. Compared to the type strain of L. plantarum, the production of lactic acid from 3121M0s was almost equal, but acetic acid and 3-phenyllactic acid were about 1.5 times higher. These results suggest that strain 3121M0s would be useful as a biopreservative starter for fermented foods susceptible to yeast contamination due to being produced in open environments without final sterilization. Full article

In this study, data from 17 studies reporting the presence of microplastics in milk and dairy products in the literature were examined with a product-based systematic approach. In addition, geographical comparisons were made between different countries. In milk and dairy products, the concentration of microplastics has been reported to exhibit a broad range, extending from non-detectable levels to as high as 10,040 MPs per kilogram, contingent upon the specific product types. Milk powder (especially baby milk powder) stands out as the riskiest product group in terms of microplastic content. Although the sizes and colors of the detected microplastics vary significantly, the fiber form is generally predominant. While polyethylene, polypropylene, polyamide and polyester are among the polymers frequently detected, high-temperature-resistant industrial polymers such as polytetrafluoroethylene, polysulfone, polyurethane were also encountered. In addition, the presence of some polymers (such polyvinyl chloride, polyurethane) that are toxicologically risky for human health was reported in the studies. In addition, the study evaluated the chemical, enzymatic and physical methods used for the separation and identification of MPs; the advantages and limitations of FT-IR, Raman and other analysis techniques were revealed. This study reveals that MP contamination in milk and dairy products is a multidimensional problem. The findings show that milk and dairy products are highly susceptible to plastic contamination at every stage of production. Full article

The preprocessing of infrared spectra can significantly improve predictive accuracy for protein, carbohydrate, lipid, or other nutrition components, yet optimal preprocessing selection is typically empirical, tedious, and dataset specific. This study introduces a Bayesian optimization-based framework designed for the automated selection of optimal spectral preprocessing pipelines within a chemometric modeling context. The framework was applied to mid-infrared spectra of milk to predict compositional parameters for fat, protein, lactose, and total solids. A total of 385 averaged spectra corresponding to 198 unique samples was split into a 70/30 ratio (training/test) using a group-aware Kennard-Stone algorithm, resulting in 269 averaged spectra (135 unique samples) for training and 116 spectra (58 unique samples) for testing. Six regression models: Elastic Net, Gradient Boosting Machines (GBM), Partial Least Squares (PLS), RidgeCV Regression, LassoLarsCV, and Support Vector Regression (SVR) were evaluated across three preprocessing conditions: (1) no preprocessing, (2) literature-derived custom preprocessing (e.g., MSC, SNV, and first and second derivatives), and (3) optimized preprocessing via the proposed Bayesian framework. Optimized preprocessing consistently outperformed other methods, with RidgeCV achieving the best performance for all components except lactose, where PLS slightly outperformed it. Improvements in predictive accuracy, particularly in terms of RMSEP were observed across all milk components. The best RMSEP results were achieved for protein (RMSEP = 0.054, $R^2=0.981$) and lactose (RMSEP = 0.026, $R^2=0.917$), followed by fat (RMSEP = 0.139, $R^2=0.926$) and total solids (RMSEP = 0.154, $R^2=0.960$). Literature-based pipelines demonstrated inconsistent effectiveness, highlighting the limitations of transferring preprocessing methods between datasets. The Bayesian optimization approach identified relatively simple yet highly effective preprocessing pipelines, typically involving few steps. By eliminating manual trial and error, this data-driven strategy offers a robust and generalizable solution that streamlines spectral modeling in dairy analysis and can be readily applied to other types of spectroscopic data across various domains. Full article

Methane (CH₄) is the second largest greenhouse gas (GHG) after carbon dioxide (CO₂), and ruminant production is an important source of CH₄ emissions. Among the six types of livestock animal species that produce GHGs, cattle (including beef cattle and dairy cows) are responsible for 62% of livestock-produced GHGs. Compared to beef cattle, continuous lactation in dairy cows requires sustained energy intake to drive rumen fermentation and CH₄ production, making it a key mitigation target for balancing dairy production and environmental sustainability. Determining how to safely and efficiently reduce CH₄ emissions from dairy cows is essential to promote the sustainable development of animal husbandry and environmental friendliness and plays an important role in improving feed conversion, reducing environmental pollution, and improving the performance of dairy cows. Combined with the factors influencing CH₄ emissions from dairy cows and previous research reports, this paper reviews the research progress on reducing the enteric CH₄ emissions (EMEs) of dairy cows from the perspectives of the CH₄ generation mechanism and emission reduction strategies, and it summarizes various measures for CH₄ emission reduction in dairy cows, mainly including accelerating genetic breeding, improving diet composition, optimizing feeding management, and improving fecal treatment. Future research should focus on optimizing the combination of strategies, explore more innovative methods, reduce EME without affecting the growth performance of dairy cows and milk safety, and scientifically and effectively promote the sustainable development of animal husbandry. Full article

Controlled-release urea (CRU) can improve nitrogen (N) use efficiency and yield, but comprehensive evaluations of its agronomic, physiological, and environmental impacts remain limited. Through a two-year field experiment comparing three CRU types with conventional urea at five N rates (0-280 kg N ha⁻¹), we demonstrate that CRU at 180 kg N ha⁻¹ maintained high maize yields (13.9 Mg ha⁻¹) while improving N use efficiency, with thermosetting polymer-coated samples (TCU) showing superior performance. There was a significant increase in the net photosynthetic rate by 7.9–32.7% and intercellular CO₂ concentration by 20.6–40.0% under CRU treatments during the silking and milking stages. The CRU treatments also sustained optimal levels of hormones, N metabolism enzymes, and sucrase and urease activities. Compared to common urea, life cycle assessment indicates that CRU has achieved a 47.5% reduction in reactive N losses and an 18.7% decrease in greenhouse gas emissions. Economically, CRU outperformed common urea, with TCU providing the highest net benefit through yield stability and labor savings. These findings establish TCU at 180 kg N ha⁻¹ as an optimal strategy of maize production in the North China Plain, balancing productivity, profitability, and environmental protection. Full article

The main objective of this research consists in finding a rapid method for cheese lipidomics based on NMR data. This study plays an important role in differentiation and characterization of cheese samples in accordance with fat composition, especially in the case of fat substitution with exogenous animal or vegetal fat. Our findings play an important role in relation to religious requirements regarding non-allowed foods (pork fat, for example, in some cultures) and in the correct characterization of foods according to their lipidic profile. The approach consists in establishing a fingerprint region (0.86–0.93 ppm from ¹H-NMR spectra) and then creating a database of the results obtained. The evaluation of the long-chain saturated fatty acids and the saturated short-chain fatty acids (C4 to C8) was established with a newly developed set of equations that make the computation possible even when mixtures of fats from different sources are present. This was accomplished by developing a new method for quantification of the fatty acid composition of different types of cheese, based on ¹H-NMR spectroscopy. Principal component analysis (PCA) was applied to 40 cheese samples with varying degrees (0%, 5%, 12%, or 15%) of milk fat substitution (pork fat, vegetable fat, hydrogenated oils) and different clotting agents (calcium chloride or citric acid). The best sample discrimination was achieved using fatty acid profiles estimated from ¹H-NMR data (using a total of six variables), explaining 89.7% of the total variance. Clear separation was observed between samples containing only milk fat and those with added fats. These results demonstrate that the integration of ¹H-NMR spectroscopy with principal component analysis (PCA) provides a reliable approach for discriminating cheese samples according to their fat composition. Full article

Background/Objectives: The U.S. Food and Drug Administration sets nutritional standards for infant formulas. Yet, the carbohydrate components of these formulas can vary markedly in type as well as sweetness intensity. Despite evidence suggesting sweetness can influence intake, limited research exists on the sweetness properties of infant formulas. This study evaluated the sweetness of six commonly used infant formulas in the United States. Methods: A sensory panel (n = 15) was formed by selecting individuals who achieved a 100% accuracy on three distinct sensory acuity screening tests to assess their ability to detect, differentiate, and quantify various sucrose concentrations. Following training, the panel evaluated each formula during three separate sessions using a sweetness scale from zero to fifteen, where zero represented no sweetness (distilled water) and fifteen represented extreme sweetness (16 g sucrose/100 mL of water). Differences in sweetness were determined using 3-way ANOVA (infant formula, repetition, and panelists) followed by post hoc pairwise comparisons. Results: Individual sample sweetness ratings ranged from 0 to 4.5 with a mean rating for all samples of 1.9 (±1.3). Significant differences were detected among the formulas F(5, 264) = 96.1, p < 0.0001. One formula, a standard milk-based formula, which contains no added non-lactose sugars, was rated significantly sweeter than any of the other formulas while the sweetness ratings for three formulas which all include non-lactose added sugars were significantly lower than that of the other formulas. Conclusions: The potential implications of these noted sweetness differences make this an important topic for future sensory, behavior, and health research Full article

The objective of this work was to deliver a comprehensive genetic characterization of a collection of E. coli strains isolated from raw sheep milk. To complete our purpose, the technique of whole-genome sequencing, coupled with bioinformatics and phenotypic characterization of antimicrobial resistance, was performed. These Gram-negative, facultative anaerobic bacteria belong to the family Enterobacteriaceae, together with other intestinal pathogens, such as Shigella spp. and Salmonella spp. Genetic analysis was carried out on all strains (phylogram, sequence types, VFs, AMR genes, and pangenome). The results showed the presence of various genetic traits that are related to virulence factors contributing to their pathogenic potential. In addition, genes conferring resistance to antibiotics were also detected and confirmed using phenotypic tests. Finally, the genome of the E. coli strains was characterized by the presence of several mobile genetic elements, thus facilitating the exchange of various genetic elements, associated with virulence and antimicrobial resistance, within and beyond the species, through horizontal gene transfer. Contaminated raw sheep milk with pathogenic E. coli strains is particularly alarming for cheese production in artisan dairies. Full article

Phospholipids (PLs) are a group of biomolecules found in the milk fat globule membranes (MFGMs). Recently, MFGM phospholipids have attracted increasing amounts of attention due to their unique composition, stability, and potential health benefits, including protective effects against Alzheimer’s disease, hypercholesterolemia, and certain types of cancer. Although buffalo milk is the second most commonly produced milk and has high nutritional value, few studies have focused on the properties of buffalo MFGM. This study investigates the PLs composition of buffalo milk and related dairy by-products (whey and buttermilk). Milk and whey were collected from two dairy farms (A—small and B—big) to produce mozzarella buffalo cheese (high-pasteurization milk for GDO production and low for local); while buttermilk was obtained from a butter-making farm. Phospholipids were purified by a solid-phase extraction method and then identified by high-performance liquid chromatography with an evaporative light-scattering detector (HPLC/ELSD). Five classes of phospholipids [phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), and sphingomyelin (SM)] were identified. The thermal process of milk did not significantly affect the PLs milk. However, local whey showed a higher concentration of total PLs than GDO, which was mainly represented by PE followed by PC content. Farm A exhibited higher PL content than B, particularly with a greater concentration of SM. Buttermilk showed the lowest PLs content. These findings offer valuable insights for the dairy industry and related applications, contributing to the valorization of buffalo dairy products. Full article

Background: The relationship between sports participation and food preferences in adults, as well as the influence of gender, is still unclear. Objective: The objective of this study was to investigate the association between sports participation and individual food preferences and to explore potential gender differences among sports participants in a large group of Italian adults. Methods: This cross-sectional study involved 2665 adults (aged ≥ 18 years) who lead normal lives and underwent a routine lifestyle and dietary assessment at a clinical centre specialising in nutrition, metabolic health, and lifestyle counselling in Rome. Participants completed an online questionnaire on food preferences (19 foods) and sports practice. Multivariate logistic regression models, adjusted for age, sex, and smoking, were used to assess associations. Results: Sports participation was defined as engaging in structured physical activity at least once per week and was reported by 53.5% of subjects (men: 60.1%; women: 49.0%; p < 0.0001). After adjustment, active individuals were significantly more likely to prefer plant-based drinks, low-fat yoghurt, fish, cooked and raw vegetables, fruit, whole grains, tofu, and dark chocolate (all p < 0.05) and less likely to prefer cow’s milk (p = 0.018). Among sport participants, males were more likely to prefer meat (general, white, red, processed) and eggs, while females preferred plant-based drinks. No significant gender differences were observed for dairy products, legumes, or fish. Differences in food preferences were also observed according to the type of sport, with bodybuilders showing higher preference for tofu and dark chocolate. The strongest associations were found in the 25–44 age group. Conclusions: Sports participation is independently associated with specific food preferences, characterised by greater preference for plant-based and fibre-rich foods, and gender differences in food choices persist even among active adults. These findings highlight the need to consider both sports participation and gender when designing nutritional interventions. Full article

Casein, the main phosphoprotein in milk, has a multifaceted molecular structure and unique physicochemical properties that make it a viable candidate for biomedical use, particularly in wound healing. This review presents a concise analysis of casein’s structural composition that comprises its hydrophobic and hydrophilic nature, calcium phosphate nanocluster structure, and its response to different pH, temperature, and ionic conditions. These characteristics have direct implications for its colloidal stability, including features such as gelation, swelling capacity, and usability as a biomaterial in tissue engineering. This review also discusses industrial derivatives and recent advances in casein biomaterials based on different fabrication types such as hydrogels, electrospun fibres, films, and advanced systems. Furthermore, casein dressings’ functional and biological attributes have shown remarkable exudate absorption, retention of moisture, biocompatibility, and antimicrobial and anti-inflammatory activity in both in vivo and in vitro studies. The gathered evidence highlights casein’s versatile bioactivity and dynamic molecular properties, positioning it as a promising platform to address advanced wound dressing challenges. Full article

Background: Against the backdrop of the large-scale and intensive development of the livestock industry, enhancing the reproductive efficiency of cattle has become a crucial factor in industrial development. Holstein cows, as the most predominant dairy cattle breed globally, are characterized by high milk yield and excellent milk quality. However, their reproductive efficiency is comprehensively influenced by a variety of complex factors, and improving their reproductive performance faces numerous challenges. The ovary, as the core organ of the female reproductive system, plays a decisive role in embryonic development and pregnancy maintenance. It is not only the site where eggs are produced and developed but it also regulates the cow’s estrous cycle, ovulation process, and the establishment and maintenance of pregnancy by secreting various hormones. The normal functioning of the ovary is crucial for the smooth development of the embryo and the successful maintenance of pregnancy. Methods: Currently, traditional sequencing technologies have obvious limitations in deciphering ovarian function and reproductive regulatory mechanisms. To overcome the bottlenecks of traditional sequencing technologies, this study selected Holstein cows as the research subjects. Ovarian samples were collected from one pregnant and one non-pregnant Holstein cow, and single-nucleus transcriptome sequencing technology was used to conduct an in-depth study on the ovarian cells of Holstein cows. Results: By constructing a cell type-specific molecular atlas of the ovaries, nine different cell types were successfully identified. This study compared the proportions of ovarian cell types under different physiological states and found that the proportion of endothelial cells decreased during pregnancy, while the proportions of granulosa cells and luteal cells increased significantly. In terms of functional enrichment analysis, oocytes during both pregnancy and non-pregnancy play roles in the “cell cycle” and “homologous recombination” pathways. However, non-pregnant oocytes are also involved in the “progesterone-mediated oocyte maturation” pathway. Luteal cells during pregnancy mainly function in the “cortisol synthesis and secretion” and “ovarian steroidogenesis” pathways; non-pregnant luteal cells are mainly enriched in pathway processes such as the “AMPK signaling pathway”, “pyrimidine metabolism”, and “nucleotide metabolism”. Cell communication analysis reveals that there are 51 signaling pathways involved in the pregnant ovary, with endothelial cells, granulosa cells, and luteal cells serving as the core communication hubs. In the non-pregnant ovary, there are 48 pathways, and the interaction between endothelial cells and stromal cells is the dominant mode. Conclusions: This study provides new insights into the regulatory mechanisms of reproductive efficiency in Holstein cows. The differences in the proportions of ovarian cell types, functional pathways, and cell communication patterns under different physiological states, especially the increase in the proportions of granulosa cells and luteal cells during pregnancy and the specificity of related functional pathways, indicate that these cells play a crucial role in the reproductive process of cows. These findings also highlight the importance of ovarian cells in pathways such as “cell cycle”, “homologous recombination”, and “progesterone-mediated oocyte maturation”, as well as the cell communication mechanisms in regulating ovarian function and reproductive performance. Full article