Hasil untuk "Dairy processing. Dairy products"

Talha Ahmad, Rana Muhammad Aadil, H. Ahmed et al.

Abstract Background Demand of dairy products is increasing in different countries, which results in the development of the dairy industry and increases in the generation of wastes. The main wastes generated are whey, dairy sludges and wastewater (processing, cleaning and sanitary). They have high nutrient concentration, biological oxygen demand (BOD), chemical oxygen demand (COD) and organic and inorganic contents. Furthermore, they can contain different sterilizing agents and a wide range of acid and alkaline detergents. Pollution due to dairy industry affects the air, soil and water quality. Scope and approach This review aims to describe the different methods used by the dairy industry to treat wastes, highlighting their effects on quality and efficiency removal of the pollution. Especially, it focusses on biotechnological alternatives to utilize the dairy wastes. Key findings and conclusions Physico-chemical, biological, and biotechnological methods can be used for treatment of dairy wastewaters. The physico-chemical treatment is used for reduction of milk fat and protein colloids, but it has the disadvantages of the high cost of the reagents and limited removal of COD. Biological treatments are used to remove organic material from dairy waste, however, the formation of sludge during aerobic biodegradation is a disadvantage. Aerobic and anaerobic process treatments can be used together in order to reach the effluents discharge limits for dairy wastewater. Biotechnological processes are the most recent alternatives, and can result in important products to the industries, such as whey-derived products, bioplastics, biofuels, bioenergy, organic acids, bioactive peptides, enzymes, among others.

Jianli Li, Qian Wang, Chunle Tian et al.

ABSTRACT: Co-fermentation using functional lactic acid bacteria strains provides a promising approach to improve the quality and health benefits of fermented dairy products. This study examined the effects of the commercial starter PYS-010 (containing Streptococcus salivarius ssp. thermophilus and Lactobacillus delbrueckii ssp. bulgaricus) and stabilizer on the physicochemical properties and metabonomics of brown fermented milk prepared using Lactobacillus helveticus H11, and the changes of metabolic flavor during storage. The combination of L. helveticus H11 and PYS-010 significantly shortened fermentation time, improved viscosity, water-holding capacity, and texture, and showed peak angiotensin-converting enzyme inhibitory activity on d 7 and 14 of storage. Nontargeted metabolomics revealed that the addition of PYS-010 significantly changed the metabolism of amino acids and fatty acids fermented by a single L. helveticus H11 strain. Further dynamic monitoring of the group fermented using L. helveticus H11 with 0.5% stabilizer and 0.003% PYS-010 during storage revealed that W5S, W2W, sourness, and saltiness sensor responses could serve as indicators for storage duration. On d 21, the contents of arachidonic acid, butyric acid, and l-malic acid increased significantly. This study provides a comprehensive view on the fermentation characteristics and metabolic changes of L. helveticus H11 during co-fermentation with PYS-010.

Donglin Wu, Lei Zhang, Zhanhe Zhang et al.

ABSTRACT: Sodium butyrate (SB) is a common feed additive used in calf nutrition to support early growth and gastrointestinal health; however, its long-term programming effects remain poorly characterized. This study examined the dose-dependent effects of preweaning SB supplementation in milk on long-term growth, metabolic profiles, and gastrointestinal microbiota in dairy cattle. Eighty Holstein calves were assigned to one of 4 treatments beginning at 2 to 4 d of age: milk supplemented with 0 (CON), 4.4 (LSB), 8.8 (MSB), or 17.6 (HSB) g/d of SB. The same animals were evaluated later as heifers at 15 mo of age for performance, metabolic parameters, and microbial communities. Ruminal fluid, fecal, and plasma samples were collected from 8 animals per group and analyzed via 16S rRNA sequencing (V3–V4 regions) and liquid chromatography-tandem MS–based metabolomics. The HSB group showed a significant reduction in withers height compared with CON, although no significant differences were detected in BW, heart girth, or reproductive measures. Metabolomic and biochemical profiling indicated disrupted sterol metabolism and signs of hepatic stress in HSB heifers, reflected by increased alanine aminotransferase and total bilirubin, alongside decreased total cholesterol and creatine. Ruminal microbiota in the HSB group exhibited reduced diversity, richness, and evenness, accompanied by a decline in beneficial bacteria such as Rikenellaceae_RC9_gut_group. Predicted microbial function indicated inhibited steroid biosynthesis in the rumen. In contrast, the intestinal microbiota composition remained largely unchanged, though steroid degradation function was suppressed. Correlation and network analyses linked these changes, suggesting that early high-dose SB disrupts ruminal microbial ecology, resulting in lasting impairments in host metabolic health and growth. Key biomarkers included Rikenellaceae_RC9_gut_group, steroid biosynthesis, and plasma creatine. Collectively, these results indicate that milk-supplemented high-dose SB in early life leads to long-term inhibitory effects on growth and metabolic homeostasis in dairy heifers, largely mediated through rumen microbiota-driven alterations in sterol metabolism.

B.F. Rossi, E.C.R. Bonsaglia, L.B.B. Da Silva et al.

ABSTRACT: Staphylococcus aureus is a major pathogen responsible for both clinical and subclinical bovine mastitis. Its ability to persist within the mammary gland and evade host immune responses makes it particularly significant for herd health and dairy production. So, this study aimed to evaluate whether the presence and diversity of S. aureus virulence genes mastitis-causing are associated with the onset and severity of mastitis in dairy cows. We analyzed 50 S. aureus isolates obtained from milk samples of cows with subclinical mastitis (SM) and 101 isolates from clinical mastitis (CM), including 28 from mild and 73 from moderate cases. These isolates were screened for genes encoding enterotoxins (sea, seb, sec, sed, see, seg, seh, sei, and sej), biofilm production (bap, icaA, and icaD), toxic shock syndrome toxin (tsst-1), Panton–Valentine leukocidin (pvl), and microbial surface components recognizing adhesive matrix molecules (fnbA, fnbB, fib, clfA, clfB, cna, eno, and ebpS). In addition, pulsed-field gel electrophoresis (PFGE) was used to differentiate the genetic profiles associated with the various disease presentations. The CM isolates presented 16 out of 22 (72.7%) virulence genes compared with 14 (63.6%) in SM isolates. Regardless of mastitis severity, icaD (99.3%), eno (98%), and clfA (78.8%) were the most frequently observed, and seb and sej were not found. Our results also revealed that the virulence genes significantly associated with CM were fnbA, fib, clfA, clfB, cna, ebpS, seg, seh, sei, bap, and icaA. The PFGE revealed that no single cluster included isolates causing both CM and SM. However, CM clusters contained isolates from both mild and moderate mastitis cases. Although the host is a significant variable in the development of mastitis, our findings demonstrate that the virulence profile can play a crucial role in disease progression, as further supported by PFGE results, which showed a distinct separation between CM and SM clusters.

Yuzhu Wang, Archontis Politis, Konstantinos Drossos et al.

Multi-channel speech separation in dynamic environments is challenging as time-varying spatial and spectral features evolve at different temporal scales. Existing methods typically employ sequential architectures, forcing a single network stream to simultaneously model both feature types, creating an inherent modeling conflict. In this paper, we propose a dual-branch parallel spectral-spatial (PS2) architecture that separately processes spectral and spatial features through parallel streams. The spectral branch uses a bi-directional long short-term memory (BLSTM)-based frequency module, a Mamba-based temporal module, and a self-attention module to model spectral features. The spatial branch employs bi-directional gated recurrent unit (BGRU) networks to process spatial features that encode the evolving geometric relationships between sources and microphones. Features from both branches are integrated through a cross-attention fusion mechanism that adaptively weights their contributions. Experimental results demonstrate that the PS2 outperforms existing state-of-the-art (SOTA) methods by 1.6-2.2 dB in scale-invariant signal-to-distortion ratio (SI-SDR) for moving speaker scenarios, with robust separation quality under different reverberation times (RT60), noise levels, and source movement speeds. Even with fast source movements, the proposed model maintains SI-SDR improvements of over 13 dB. These improvements are consistently observed across multiple datasets, including WHAMR! and our generated WSJ0-Demand-6ch-Move dataset.

E. Seifu

Camel milk is the mainstay for millions of people in arid and semi-arid environments. In these areas, it is mainly consumed raw or after it spontaneously turns sour. Although some attempts have been made to produce dairy products from camel milk, processing of camel milk is generally considered to be difficult and the quality of the final products made from camel milk do not correspond to their bovine milk counterparts. This paper reports a comprehensive analysis of the literature on camel milk products and presents synthesis of the latest developments, limitations pertaining processing and opportunities for development of new and improved camel milk products. The protein composition and colloidal structure of camel milk differs from cow milk. It is characterized by absence of β-lactoglobulin, low κ-casein content, high proportion of β-casein, larger casein micelles and smaller fat globules. These differences lead to the difficulty of making dairy products from camel milk using the same technologies as for bovine milk. Some of the challenges of camel milk processing include poor stability of the milk during UHT treatment, impaired rennetability, formation of weak and fragile curd during coagulation, longer fermentation time, and low thermal stability of the milk during drying. Despite these difficulties, it has now become possible to produce a range of commercial and traditional dairy products from camel milk. Some of the strategies that could be applied to improve the quality and characteristics of camel milk products are discussed. Graphical Abstract

Anay D. Ravelo, Megan Ruch, Isaac J. Salfer et al.

Although laboratory best practices recommend that total storage time and number of freeze-thaw cycles should be minimized before analysis of metabolites within plasma, the specific impacts of storage time and freeze-thaw cycles on apparent glucose concentrations in bovine plasma have not been well quantified. Additionally, within the field of dairy science, multiple assay systems for glucose concentration analysis are used, yet these assays have not been directly compared with each other. Thus, the first objective was to investigate the stability of glucose in samples that have been frozen for an increased duration or frozen and thawed up to 4 times. The second objective was to investigate the agreement between 2 assay systems for glucose measurement: the peroxidase and glucose oxidase (PGO) assay system and the hexokinase reaction (HK) assay system. Blood samples were collected into sodium fluoride (NaF) tubes from 166 dairy cows, across different lactation stages, on 3 farms over a 2-d interval. After centrifugation, plasma was separated into 4 aliquots. One aliquot was used to determine the impacts of up to 4 freeze-thaw cycles, and the first measurement from this aliquot along with the other 3 aliquots were used to investigate potential glucose degradation in aliquots frozen for different lengths of time, including 2, 3, 4, and 16 wk. All samples were analyzed using both the PGO and HK assay systems. Bland–Altman plots, Pearson correlations, and paired t-tests were used to compare the effects of storage time and freeze-thaw cycles. Additionally, a linear mixed model with the fixed effect of either storage time or freeze-thaw cycle and the random effect of cow within farm was used to consider the effect of each of these factors on measured glucose concentrations. For comparisons between assay systems, a linear mixed model was used with the fixed effect of assay system, time, frozen or freeze-thaw cycles depending on the model, their interaction, and cow within farm as a random effect. Storage time and freeze-thaw cycles influenced glucose concentration measured by the PGO and HK. Concentrations of glucose both increased and decreased with increasing storage time and freeze-thaw cycles and compared with the initial quantification. Apparent glucose concentration was more variable across all aliquots when the HK assay (± 0.14 mmol/L) was used compared with the PGO assay (± 0.06 mmol/L). The HK assay continuously yielded lower concentrations of glucose compared with the PGO assay. Overall, glucose concentrations can be variable over different storage times and freeze-thaw cycles; however, they cannot be compared across the PGO and HK assay systems.

Yusong ZHANG, Weiran CUI, Zhenyue TANG et al.

Bioaccessibility is a prerequisite for 5-methyltetrahydrocalcium folate (5-MTHF) to perform their health functions and is susceptible to the influence of food components. Through in vitro simulated digestion, the effects of whey protein concentrate (WPC) on the bioaccessibility of 5-MTHF under various circumstances (concentration, processing technique, gastrointestinal pH, and digesting duration) were examined. The changes of particle microstructure before and after digestion were observed by colloid particle size potentiometer and laser confocal. According to the findings, 5-MTHF could be securely wrapped, shielded by WPC throughout the stomach stage of digestion, and then moved to the small intestine for full release. Additionally, during the digestive process, the bioaccessibility of WPC-5-MTHF tended to rise in all groups. In the meanwhile, several factors such as WPC concentration, WPC processing technique, gastrointestinal pH, and digestion duration had varied effects on the bioaccessibility of 5-MTHF as well as the particle size and potential of WPC-5-MTHF during the digestive process. Among them, the bioaccessibility was 0 and no 5-MTHF was found in any WPC-5-MTHF group throughout the stomach digesting stage. When compared to the 5-MTHF group, the bioaccessibility of the WPC-5-MTHF group improved by 11.1% to 19.61% during the intestinal digestion stage, exhibiting a positive connection trend with the WPC concentration. When compared to the unprocessed treatment group, the bioaccessibility of the ultrasonic, high pressure homogenization groups was reduced by 8.49%, 9.52%, and 8.75%, respectively. At an intestinal pH of 7 and a digestion time of 5 hours, the WPC-5-MTHF group displayed the best bioaccessibility, which was twice as high as that of the 5-MTHF group, at 45.17% and 42.32%, respectively. The results of particle size and zeta potential showed that the WPC-5-MTHF group had smaller particle size, larger absolute value of zeta potential, and the structural changes of WPC-5-MTHF would cause changes in digestibility characteristics. Theoretical support for the use of 5-methyltetrahydrofolate calcium in dairy products is provided by this work.

Y. Sun, D. Li, L. Zhao et al.

ABSTRACT: Obesity driven by high-fat diets is associated with metabolic dysregulation and gut microbiota disruption. Traditional fermented dairy products, such as Qula from Qinghai Province, China, are valuable sources for isolating novel probiotics with potential therapeutic applications against obesity. This study explored the appetite-regulating mechanisms and gut microbiota modulation by Lacticaseibacillus rhamnosus HF01, a strain isolated from traditional Qula, in mice with high-fat diet–induced obesity. The L. rhamnosus HF01 improved lipid profiles, reduced BW and lipid accumulation, and modulated the hypothalamic expression of appetite-related genes (NPY, POMC), with a particular focus on PYY in appetite regulation. The L. rhamnosus HF01 stimulated PYY secretion through activation of intestinal L cells, which then activated the NPY-Y2 receptor, modulating NPY and POMC expression to regulate appetite. Additionally, L. rhamnosus HF01 reshaped the gut microbiota by increasing the abundance of key short-chain fatty acid (SCFA)-producing genera (Akkermansia, unclassified_f__Muribaculaceae, unclassified_f__Lachnospiraceae, Allobaculum, Candidatus_Saccharimonas). Elevated levels of SCFA, including butyric, isobutyric, and isovaleric acids, correlate with specific microbial taxa and activate GPR41/43 receptors, further promoting PYY secretion. These findings suggest that L. rhamnosus HF01 exerts its antiobesity effects through gut microbiota modulation, SCFA production, and GPR receptor activation, leading to PYY secretion, appetite suppression, and improved metabolic health via the gut-brain axis. The L .rhamnosus HF01 provides a promising therapeutic approach for obesity by targeting the gut-brain axis, regulating appetite through microbiota-driven SCFA production.

Stan Jourquin, Florian Debruyne, Laurens Chantillon et al.

ABSTRACT: Purchase dependent calf rearing systems, such as the white veal industry, systematically rely on antimicrobial mass medication (metaphylaxis) to counter respiratory tract infections. Despite mounting criticism, the industry fears that without metaphylaxis, mortality would drastically increase. This randomized clinical trial aimed to compare the efficacy of a quick thoracic ultrasonography (qTUS) individualized treatment length between oxytetracycline (OTC) and florfenicol (FF). Regression of maximum consolidation depth <1 cm was used as a criterion for cure and to stop antimicrobial treatment. Additionally, the study assessed the associations of consolidation depth at treatment initiation with cure and treatment duration. The trial involved 320 veal calves, randomly assigned into one of 2 groups: one receiving OTC (n = 160) and the other FF (n = 160) on d 1 (2-d metaphylaxis). Clinical scoring and qTUS were done on d 1 and every 48 h for a 10-d period. After d 1, only calves with consolidations ≥1cm were given further treatment. On each time point, maximum consolidation depth was used to categorize calves into 4 qTUS categories: healthy (no consolidation), mild pneumonia (consolidation <1 cm), moderate pneumonia (consolidation 1–3 cm) and severe pneumonia (consolidation ≥3 cm). Cure, treatment duration and the number of antimicrobial dosages (NAD) were compared between treatment groups. In addition, pathogen identification and antimicrobial susceptibility testing was performed on isolates from nonendoscopic broncho-alveolar lavage fluid. On d 1, 30.0% (96/320) of the calves had consolidation ≥1cm, which increased to 50.9% (162/318) by d 9. After single metaphylactic treatment, cure was 20.9% (9/43) and 20.9% (9/43) in the OTC and FF group, respectively. Calves with severe pneumonia had lower odds to be cured after first treatment than calves with moderate pneumonia (odds ratio = 0.17; 95% CI: 0.04–0.63). By d 9, final cure of the initial cases was 27.9% in both the OTC and FF groups. In both groups, cure was similar at all observation points. Overall, final cure of all calves with either moderate or severe pneumonia during the trial was 41.2% (52/102) and 19.0% (12/63), respectively. Median (Med) treatment duration was 4 d (interquartile range [IQR] = 2–6; minimum [Min] = 2; maximum [Max] = 8) and was similar in both treatment groups. Treatment duration for calves with moderate pneumonia (Med = 6; IQR = 4–6; Min = 2; Max = 8) was lower than the median treatment duration of calves with severe pneumonia (Med = 8; IQR = 4–8; Min = 2; Max = 8). When compared with calves with mild pneumonia on d 1, calves with moderate and severe pneumonia had significantly longer treatment durations. In this study, cure was low and not different between both antimicrobials. Categorizing calves based on consolidation depth appears useful as both cure and treatment duration were different for the mild, moderate, and severe groups.

John B. Cole, Christine F. Baes, Sophie A.E. Eaglen et al.

ABSTRACT: When related animals are mated to one another, genetic defects may become apparent if recessive mutations are inherited from both sides of the pedigree. The widespread availability of high-density DNA genotypes for millions of animals has made it possible to identify and track known defects as well as to identify and track previously unknown defects that cause early embryonic losses. Although the number of known defects has increased over time, the availability of carrier information has been used to dramatically reduce the frequency of many disorders. The economic impact of known genetic defects in the US dairy cattle population has decreased by ∼2/3 since 2016, due largely to the avoidance of carrier-to-carrier matings. Effective population management requires robust systems for reporting new defects, identification of causal mechanisms, and development of commercially available tests. The United States and Canada depend on informal cooperation among many groups, including farmers, purebred cattle associations, genetics companies, and researchers, to identify emerging and causal defects. The structure of a collaborative system including all key sectors of the dairy cattle industry to support long-term population management is described. This review provides a comprehensive overview of the landscape surrounding genetic defects in dairy cattle. Topics covered include current defects of relevance to commercial dairy producers, trends in carrier frequencies over time, how best to manage these defects, strategies for detecting emerging diseases, and marketing and trade considerations.

Stefania Sardellitti, Breno C. Bispo, Fernando A. N. Santos et al.

The study of the interactions among different types of interconnected systems in complex networks has attracted significant interest across many research fields. However, effective signal processing over layered networks requires topological descriptors of the intra- and cross-layers relationships that are able to disentangle the homologies of different domains, at different scales, according to the specific learning task. In this paper, we present Cell MultiComplex (CMC) spaces, which are novel topological domains for representing multiple higher-order relationships among interconnected complexes. We introduce cross-Laplacians matrices, which are algebraic descriptors of CMCs enabling the extraction of topological invariants at different scales, whether global or local, inter-layer or intra-layer. Using the eigenvectors of these cross-Laplacians as signal bases, we develop topological signal processing tools for CMC spaces. In this first study, we focus on the representation and filtering of noisy flows observed over cross-edges between different layers of CMCs to identify cross-layer hubs, i.e., key nodes on one layer controlling the others.

Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro

Neurodegeneration, characterized by the progressive loss of neuronal structure or function, is commonly assessed in clinical practice through reductions in cortical thickness or brain volume, as visualized by structural MRI. While informative, these conventional approaches lack the statistical sophistication required to fully capture the spatially correlated and heterogeneous nature of neurodegeneration, which manifests both in healthy aging and in neurological disorders. To address these limitations, brain age gap has emerged as a promising data-driven biomarker of brain health. The brain age gap prediction (BAGP) models estimate the difference between a person's predicted brain age from neuroimaging data and their chronological age. The resulting brain age gap serves as a compact biomarker of brain health, with recent studies demonstrating its predictive utility for disease progression and severity. However, practical adoption of BAGP models is hindered by their methodological obscurities and limited generalizability across diverse clinical populations. This tutorial article provides an overview of BAGP and introduces a principled framework for this application based on recent advancements in graph signal processing (GSP). In particular, we focus on graph neural networks (GNNs) and introduce the coVariance neural network (VNN), which leverages the anatomical covariance matrices derived from structural MRI. VNNs offer strong theoretical grounding and operational interpretability, enabling robust estimation of brain age gap predictions. By integrating perspectives from GSP, machine learning, and network neuroscience, this work clarifies the path forward for reliable and interpretable BAGP models and outlines future research directions in personalized medicine.

Alexander Zimmer, Johannes Meyer, Enkelejda Kasneci

The rapid evolution of wearable technologies, such as AR glasses, demands compact, energy-efficient sensors capable of high-precision measurements in dynamic environments. Traditional Frequency-Modulated Continuous Wave (FMCW) Laser Feedback Interferometry (LFI) sensors, while promising, falter in applications that feature small distances, high velocities, shallow modulation, and low-power constraints. We propose a novel sensor-processing pipeline that reliably extracts distance and velocity measurements at distances as low as 1 cm. As a core contribution, we introduce a four-ramp modulation scheme that resolves persistent ambiguities in beat frequency signs and overcomes spectral blind regions caused by hardware limitations. Based on measurements of the implemented pipeline, a noise model is defined to evaluate its performance and sensitivity to several algorithmic and working point parameters. We show that the pipeline generally achieves robust and low-noise measurements using state-of-the-art hardware.

Abdul Rehman, Jian-Jun Zhang, Xiaosong Yang

Universal phoneme recognition typically requires analyzing long speech segments and language-specific patterns. Many speech processing tasks require pure phoneme representations free from contextual influence, which motivated our development of CUPE - a lightweight model that captures key phoneme features in just 120 milliseconds, about one phoneme's length. CUPE processes short, fixed-width windows independently and, despite fewer parameters than current approaches, achieves competitive cross-lingual performance by learning fundamental acoustic patterns common to all languages. Our extensive evaluation through supervised and self-supervised training on diverse languages, including zero-shot tests on the UCLA Phonetic Corpus, demonstrates strong cross-lingual generalization and reveals that effective universal speech processing is possible through modeling basic acoustic patterns within phoneme-length windows.

J. Banach, J. P. van der Berg, G. Kleter et al.

Abstract Traditionally, meat and dairy products have been important protein sources in the human diet. Consumers are eating more plant-based proteins, which is reflected in current market trends. Assessing how alternative proteins are processed and their impact on food safety helps realize market opportunities while ensuring food safety. In this review, an analysis of the food safety hazards, along with current industry trends and processing methods associated with alternative proteins for meat and dairy products for the European Union market is described. Understanding the effects of processing and safety alternative proteins is paramount to ensuring food safety and understanding the risks to consumers. However, the data here is limited. With the expected further increase in protein alternatives in consumers’ diets, the risk of food allergens is apparent. The occurrence of processing contaminants in plant-based alternatives may occur, along with anti-nutritional compounds, which interfere with the absorption of nutrients. Further, typical food safety hazards related to the plant, the product itself, or processing are relevant. Although hazards in insects and seaweed are being addressed, other protein alternatives like cultured meat and SCPs warrant attention. Our findings can aid industry and governmental authorities in understanding current trends and prioritizing hazards for future monitoring.

S. de Las Heras-Delgado, S. Shyam, Èrica Cunillera et al.

BACKGROUND Plant-Based Alternative Products (PBAPs) to meat and dairy are increasingly available. Their relative nutritional quality in comparison to animal-based homologs is poorly documented. OBJECTIVE To characterize and evaluate the plant-based alternatives available on the market in Spain in comparison to animal products in terms of their nutritional composition and profile, and degree of processing. METHODS Nutritional information for PBAPs and homologs were obtained from the Spanish 'Veggie base', branded food composition database. Five PBAPs categories (cheese, dairy products, eggs, meat, and fish, n = 922) were compared to animal-based processed (n = 922) and unprocessed (n = 381) homologs, using the modified version of the Food Standard Agency Nutrient Profiling System (FSAm-NPS score) and NOVA classification criteria. RESULTS Compared to processed or unprocessed animal food, PBAPs contain significantly higher sugar, salt, and fiber. PBAPs for fish, seafood, and meat were lower in protein and saturated fatty acids. Overall, 68% of PBAPs, 43% of processed and 75% of unprocessed animal-homologs had Nutri-Score ratings of A or B (most healthy). About 17% of PBAPs, 35% of processed and 13% of unprocessed animal-based food were in Nutri-Score categories D or E (least healthy). Dairy, fish, and meat alternatives had lower FSAm-NPS scores (most healthy), while cheese alternatives scored higher (least healthy) than animal-based homologs. Unprocessed fish and meat were healthier than similar PBAPs based on FSAm-NPS criteria. Approximately 37% of PBAPs and 72% of processed animal-based products were ultra-processed food (NOVA group 4). Within the ultra-processed food group, Nutri-Score varied widely. CONCLUSIONS Most PBAPs had better nutrient profile than animal-based homologs. However, cheese, fish and meats PBAPs had poorer nutrient profile and were more processed. Given the high degree of processing and variable nutritional profile, PBAPs require a multi-dimensional evaluation of their health impact.

M. A. Arain, H. M. Salman, Mehboob Ali et al.

Abstract Camel milk plays a critical role in the diet of peoples belongs to the semi-arid and arid regions. Since prehistoric times, camel milk marketing was limited due to lacking the processing facilities in the camel-rearing areas, nomads practiced the self-consumption of raw and fermented camel milk. A better understanding of the techno-functional properties of camel milk is required for product improvement to address market and customer needs. Despite the superior nutraceutical and health promoting potential, limited camel dairy products are available compared to other bovines. It is a challenging impetus for the dairy industry to provide diversified camel dairy products to consumers with superior nutritional and functional qualities. The physicochemical behavior and characteristics of camel milk is different than the bovine milk, which poses processing and technological challenges. Traditionally camel milk is only processed into various fermented and non-fermented products; however, the production of commercially important dairy products (cheese, butter, yogurt, and milk powder) from camel milk still needs to be processed successfully. Therefore, the industrial processing and transformation of camel milk into various products, including fermented dairy products, pasteurized milk, milk powder, cheese, and other products, require the development of new technologies based on applied research. This review highlights camel milk’s processing constraints and techno-functional properties while presenting the challenges associated with processing the milk into various dairy products. Future research directions to improve product quality have also been discussed.

E. Hayes, Derek Greene, C. O’Donnell et al.

Increasing consumer awareness, scale of manufacture, and demand to ensure safety, quality and sustainability have accelerated the need for rapid, reliable, and accurate analytical techniques for food products. Spectroscopy, coupled with Artificial Intelligence-enabled sensors and chemometric techniques, has led to the fusion of data sources for dairy analytical applications. This article provides an overview of the current spectroscopic technologies used in the dairy industry, with an introduction to data fusion and the associated methodologies used in spectroscopy-based data fusion. The relevance of data fusion in the dairy industry is considered, focusing on its potential to improve predictions for processing traits by chemometric techniques, such as principal component analysis (PCA), partial least squares regression (PLS), and other machine learning algorithms.

A. Costa, N. Sneddon, A. Goi et al.

Mammalian colostrum, known as "liquid gold," is considered a valuable source of essential nutrients, growth factors, probiotics, prebiotics, antibodies, and other bioactive compounds. Precisely for this reason, bovine colostrum (BC) is an emerging ingredient for the feed, food, and pharmaceutical industries, being nowadays commercially available in a variety of forms in several countries. Moreover, quite a large number of functional foods and supplements for athletes, human medicines, pet nutrition plans, and complementary feed for some livestock categories, such as piglets and calves, contain BC. The amount of BC yielded by a cow after calving represents approximately 0.5% of the yearly output in dairy breeds. For its nutritional properties and low availability, BC is characterized by a greater market value and an increasing demand compared with other by-products of the dairy sector. However, information regarding the market size of BC for the food and pharmaceutical industries, as well as future developments and perspectives, is scarcely available in the scientific literature. This lack can be attributed to industrial secrecy as well as to the relatively small scale of the BC business when compared with other dairy products, which makes the BC market limited, specific, and intended for a restricted audience. From a legal perspective, regulations assign BC to the large family of milk-derived powders; thus, collecting specific production data, as well as import-export trend information, is not straightforward and can result in unprecise estimates. Given that the interest in BC is increasing in different fields, it is important to have an overview of the production steps and of pros and cons of this emerging ingredient. The present narrative review discloses why BC has started to be considered a product rather than a by-product of the dairy industry. Moreover, the present document aims to summarize the existing methodologies used to assess BC quality in terms of immunoglobulin concentration, the different applications of BC in the industry, and the BC processing technologies. Finally, a panoramic view of the current international market is provided for the first time for this dairy product.