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The quality of meat in prepared dishes deteriorates due to excessive protein denaturation resulting from precooking, freezing, and recooking. This study aimed to link the precooked state with chicken breast's recooked quality. Cooked Value (CV), based on protein denaturation kinetics, was established to indicate the doneness of meat during pre-heating. The effects of CVs after pre-heating on recooked qualities were investigated compared to fully pre-heated samples (control). Mild pre-heating reduced water migration and loss. While full pre-heating inhibited protein oxidation during freezing, intense oxidation during pre-heating led to higher oxidation levels. Surface hydrophobicity analysis revealed that mild pre-heating suppressed aggregation during recooking. These factors contributed to a better texture and microstructure of prepared meat with mild pre-heating. Finally, a potential mechanism of how pre-heating affects final qualities was depicted. This study underlines the need for finely controlling the industrial precooking process to regulate the quality of prepared meat.

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High-moisture extrusion technique with the advantage of high efficiency and low energy consumption is a promising strategy for processing Antarctic krill meat. Consequently, this study aimed to prepare high-moisture textured Antarctic krill meat (HMTAKM) with a rich fiber structure at different water contents (53 %, 57 %, and 61 %) and to reveal the binding and distribution regularity of water molecules, which is closely related to the fiber structure of HMTAKM and has been less studied. The hydrogen-bond network results indicated the presence of at least two or more types of water molecules with different hydrogen bonds. Increasing the water content of HMTAKM promoted the formation of hydrogen bonds between the water molecules and protein molecules, leading to the transition of the ß-sheet to the α-helix. These findings offer a novel viable processing technique for Antarctic krill and a new understanding of the fiber formation of high-moisture textured proteins.

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Electrospun zein-based eugenol nanofibers (ZEnF) with diameters (148.19-631.52 nm) were fabricated. Thermal degradation was found as <15 % until 300 °C while the nanofiber diffraction pattern presented three main peaks among the 5o and 45o positions. ZEnF was not only evaluated as non-toxic to cells but also possessed anticancer characteristics revealing with the MCF-7 cell line at 800 µg/mL (reduction: 18.08 %) and 1600 µg/mL (reduction: 41.64 %). Allium tests revealed that ZEnF did not have any adverse impact on the health status (chromosomes-DNA) of exposed organisms. Following the nanofiber coating for chicken meat parts (thigh and breast), it was observed up to 1.25 log CFU/g limitation in total viable bacteria counts (p < 0.05). The sensory score (difference: 3.64 in 10 points scoring on the 6th day of the cold storage) and odor score of chicken meat samples were found to be as higher than control samples (p < 0.05).

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Aromatic amino acid oxidation products (AAAOPs) are newly discovered risk substances of thermal processes. Due to its significant polarity and trace level in food matrices, there are no efficient pre-treatment methods available to enrich AAAOPs. Herein, we proposed a magnetic cationic covalent organic framework (Fe3O4@EB-iCOF) as an adsorbent for dispersive magnetic solid-phase extraction (DMSPE). Benefiting from the unique charged characteristics of Fe3O4@EB-iCOF, AAAOPs can be enriched through electrostatic interaction and π-π interactions. Under the optimal DMSPE conditions, the combined HPLC-MS/MS method demonstrated good linearity (R2 ≥ 0.990) and a low detection limit (0.11-7.5 µg·kg-1) for AAAOPs. In addition, the method was applied to real sample and obtained satisfactory recoveries (86.8 % âˆ¼ 109.9 %). Especially, we applied this method to the detection of AAAOPs in meat samples and conducted a preliminarily study on its formation rules, which provides a reliable basis for assessing potential dietary risks.

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Salmonella is a major bacterial concern for public health globally. Although there are limited documentation on the prevalence of Salmonella species in Cambodia's food chain, some reports indicate that salmonellosis is a severe gastrointestinal infection in its population and especially in children. To investigate the presence of Salmonella spp., 285 food samples (75 meat, 50 seafood, and 160 leafy green vegetable samples) were randomly collected from various local markets in Phnom Penh capital and nearby farms in Cambodia. Concurrently, field observations were conducted to collect data on food hygiene and practices among the relevant actors. All food samples were analyzed using bacterial culture and plate counts, and the findings were confirmed serially with biochemical, serological, and PCR tests. The observational data on food hygiene and practices from farm to market revealed that the spread of Salmonella in the food-value chain from farm to market could pose health risks to consumers. The overall prevalence of Salmonella spp. was 48.4% (138/285), while the prevalence in meat, seafood, and vegetables was 71% (53/75), 64% (32/50), and 33% (53/160), respectively. Mean Salmonella plate count ranged from 1.2 to 7.40 log10 CFU/g, and there was no significant difference in bacterial counts between meat, seafood, and vegetable samples (p > 0.05). The most common serogroups among the isolated Salmonella spp. were B and C. These results suggest that a large proportion of meat, seafood, and vegetable products sold at local markets in Phnom Penh are contaminated with Salmonella spp. This is likely linked to inadequate hygiene and sanitation practices, including handling, storage, and preservation conditions. Observations on farms suggested that the prevalence of Salmonella in vegetables sold at the market could be linked to contamination relating to agricultural practices. Thus, controlling the spread of foodborne salmonellosis through the food-value chain from farms and retailers to consumers is warranted to enhance food safety in Cambodia.

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Frozen and thawed meat plays an important role in stabilizing the meat supply chain and extending the shelf life of meat. However, traditional methods of research and development (R&D) struggle to meet rising demands for quality, nutritional value, innovation, safety, production efficiency, and sustainability. Frozen and thawed meat faces specific challenges, including quality degradation during thawing. Artificial intelligence (AI) has emerged as a promising solution to tackle these challenges in R&D of frozen and thawed meat. AI's capabilities in perception, judgment, and execution demonstrate significant potential in problem-solving and task execution. This review outlines the architecture of applying AI technology to the R&D of frozen and thawed meat, aiming to make AI better implement and deliver solutions. In comparison to traditional R&D methods, the current research progress and promising application prospects of AI in this field are comprehensively summarized, focusing on its role in addressing key challenges such as rapid optimization of thawing process. AI has already demonstrated success in areas such as product development, production optimization, risk management, and quality control for frozen and thawed meat. In the future, AI-based R&D for frozen and thawed meat will also play an important role in promoting personalization, intelligent production, and sustainable development. However, challenges remain, including the need for high-quality data, complex implementation, volatile processes, and environmental considerations. To realize the full potential of AI that can be integrated into R&D of frozen and thawed meat, further research is needed to develop more robust and reliable AI solutions, such as general AI, explainable AI, and green AI.

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BACKGROUND: Although red meat consumption has been associated with risk of atherosclerotic coronary artery disease and stroke, no prospective study has examined this with the risk of chronic limb-threatening ischemia (CLTI). METHODS: In a prospective study of 63,257 Chinese in Singapore, who were aged 45-74 years old at recruitment, diet was assessed via a validated semi-quantitative food frequency questionnaire. Incident CLTI cases were ascertained via linkage with nationwide hospital records for lower extremity amputation or angioplasty for peripheral arterial disease. Multivariable Cox models were used to examine associations between quartiles of meat intake and CLTI risk. RESULTS: After a mean follow-up of 18.8 years, there were 1069 cases of CLTI. Higher intake of red meat intake was associated with increased risk of CLTI in a stepwise manner. Comparing extreme quartiles of red meat intake, the hazard ratio (HR) for the association with CLTI risk was 1.24 [95% confidence interval (CI) = 1.03-1.49; P-trend = 0.02]. In stratified analysis, red meat intake had a stronger association with CLTI risk among those without diabetes [HR (95% CI) comparing extreme quartiles = 1.41 (1.10-1.80); P-trend = 0.03] than among those with diabetes at baseline [HR (95% CI) comparing extreme quartiles = 1.04 (0.79-1.38); P-trend = 0.05] (P-interaction = 0.03). Otherwise, the associations were not different by sex, BMI, smoking status, hypertension, alcohol consumption, or history of cardiovascular diseases. Using a theoretical model in substitution analysis that substituted three servings per week of red meat with poultry or fish/shellfish, the relative risk of CLTI was reduced by 13-14%. CONCLUSIONS: Consumption of red meat was associated with higher CLTI risk in this Asian cohort. Substituting red meat with poultry or fish/shellfish may reduce this risk.

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BACKGROUND: During the COVID-19 pandemic, several outbreaks have been recorded worldwide in industrial slaughterhouses and meat-processing plants. Competent Italian health authorities at regional and provincial levels agreed on a risk-oriented control plan. METHODS: Advocacy actions were activated, targeting meat plant managers and related food business operators. A questionnaire focused on the inventoried risk factors from literature was developed and administered voluntarily to interested stakeholders. In addition, an outbreak questionnaire was proposed to the prevention department of local health units. RESULTS: From 2021 to 2022, 333 advocacy and 24 outbreak questionnaires on 4,765 inventoried plants were collected. The lack of awareness in updating the Risk Assessment Document for COVID-19, non-instrumental body temperature checks at the entrance, working force from different subcontractors, poor hygiene in shared places, and insufficient ventilation were the main critical points recorded. CONCLUSIONS: Results provide a post hoc review with an eye toward future zoonotic pandemics.

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BACKGROUND: With the ban on the use of antibiotics in poultry nutrition, the opinion of nutritionists turned to their alternatives. Garlic and mushroom are the two important phytobiotic compounds in poultry nutrition. OBJECTIVES: This experiment was done to investigate the effect of garlic powder (GP) and mushroom powder (MP) on the growth performance, meat quality, serum lipid profile, and intestinal morphology of broilers. METHODS: Five hundred and seventy-six one-day-old male Ross 308 broiler chicks were assigned to eight treatments with six replications based on a completely randomized design in a factorial arrangement of 4*2 with four levels of GP (0.00, 0.50, 1.00, 1.50%) and two levels of MP (0.00, 1.00%). RESULTS: No significant effects of GP and MP on the performance were observed. With increasing levels of GP in the diets, the lightness and redness of breast meat decreased and increased, respectively (p < 0.05). The effect of increasing the amount of GP on the reduction of total cholesterol level was similar in the absence or presence of MP. With increasing levels of GP in the diets, the villus height (VH) and VH to crypt depth ratio (VH: CD) increased. The use of MP in the diets significantly increased VH and VH: CD (p < 0.05). CONCLUSION: The addition of GP and MP to the broilers' diets did not have any negative effect on the performance. These pharmaceutic herbs improved intestinal morphology. In addition, increasing the level of GP amended the meat color and reduced the level of serum cholesterol.

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Sarcocystis is a genus of protozoa with a worldwide distribution infecting a wide range of animals, including humans. Wild boars can harbor at least two species of Sarcocystis, that is, the zoonotic Sarcocystis suihominis, using humans as definitive hosts, and Sarcocystis miescheriana, for which wild and domestic canids serve as definitive hosts. In Portugal, hunting holds significant economic and social importance, and wild boars are among the most appreciated hunted species. As the consumption of wild boar meat can expose humans to several foodborne pathogens, the presence of trained hunters can make a difference in ensuring animal health surveillance and food safety. Herein, we report the detection of macroscopic cystic lesions associated with S. miescheriana in a wild boar hunted for human consumption, resulting in carcass condemnation. To the best of the authors' knowledge, the presence of S. miescheriana in wild boar tissues has never been associated with macroscopic pathological alterations before. Although S. miescheriana cannot infect humans, carcasses affected by grossly visible pathological changes must be declared unfit for consumption. Therefore, our finding points out the potential economic damage associated with carcass rejection due to the presence of gross lesions associated with generalized sarcocystosis. Nonetheless, further studies are required to investigate these alterations that currently appear to be occasional findings.

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α-Gal syndrome (AGS) is an allergic reaction to galactose-α-1,3-galactose (α-gal) found in the salivary glands of ticks, mammalian meat excluding primates, and some antibody preparations, such as cetuximab. We report two cases of AGS diagnosed after ingestion of wild boar meat. Patient 1, a male in his 70s, developed anaphylactic shock about 3 h after eating wild boar meat. He was transported to our acute and critical care center in Nagasaki University Hospital because he had difficulty in moving. Patient 2, a female in her 60s, developed a skin rash about 2.5 h after ingesting wild boar meat. After visiting our department to investigate the cause of the disease, the sera of both patients were found to be positive for α-gal specific IgE antibody and were diagnosed with AGS caused by ingestion of wild boar meat. Reports of AGS diagnosed after ingestion of wild boar meat are rare in Japan. Compared with other prefectures, the consumption of wild boar meat in Nagasaki is relatively high in Japan. In the past 10 years, four cases of AGS were diagnosed at our department, half of which were caused by the ingestion of wild boar meat, the ratio is possibly higher than that in other prefectures in Japan.

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The role of CYP2E1 in oxidation is essential for its effects on meat quality. This study used 200 Indonesian sheep (Ovis aries) to determine the SNP g allele frequencies. g. 50658168 T>C of CYP2E1 gene located in 3´-UTR region and their genetic association with lamb quality traits, including carcass characteristics, retail cut carcass, physicochemical lamb, fatty acid, cholesterol, flavor and odor, and mineral content. Further, the level of CYP2E1 mRNA and CYP2E1 protein expression in muscle were determined and correlated with lamb quality traits. CYP2E1 gene polymorphisms were identified using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) analysis. The CYP2E1 mRNA expression levels in phenotypically divergent sheep populations were analyzed using Quantitative Real Time-PCR (qRT-PCR). Immunohistochemistry (IHC) and hematoxylin-eosin (HE) staining analysis used three samples each in the high and low lamb quality groups based on pH value and tenderness. An association study of CYP2E1 gene polymorphisms was performed using General Linear Model (GLM) analysis. The genetic association between the CC, CT, and TT genotypes at the SNP g. 50658168 T>C CYP2E1 gene and lamb quality traits were significant (P<0.05), including carcass characteristics, retail cut carcass, fatty acid, cholesterol, flavor, and odor. Lambs with the CT genotype had a higher mRNA and protein expression in high lamb quality traits. The highest CYP2E1 protein expression was localized in the longissimus dorsi. The group sample with high lamb quality had a higher area and perimeter of muscle cells. CYP2E1 can be used as a genetic marker for selecting sheep with high meat quality.

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BACKGROUND: Plasma-activated water (PAW) is an innovative promising technology which could be applied to improve poultry health. The current study investigated the effects of drinking water supply with PAW on quail behaviour, performance, biochemical parameters, carcass quality, intestinal microbial populations, and internal organs histopathology. A total of 54 twenty-one-day-old Japanese quail chicks were randomly allotted to three treatments provided with PAW at doses 0, 1 ml (PAW-1), and 2 ml (PAW-2) per one litter drinking water. Each treatment contained 6 replicates (3 birds/ cage; one male and two females). RESULTS: The results clarified that there were no significant (P > 0.05) changes in behaviour, and performance. For the biochemical indicators, the PAW-1 group showed significantly higher serum H2O2, total protein and globulin levels compared with the other groups (P = 0.015, < 0.001, and 0.019; respectively). PAW groups had significantly lower serum creatinine and urea levels than the control (P = 0.003). For the carcass quality, the internal organs relative weight between different treatments was not changed. In contrast, there was a significant increase in the meat colour, taste, and overall acceptance scores in PAW groups compared with the control one (P = 0.013, 0.001, and < 0.001; respectively). For the intestinal microbial population, lactobacilli count was significantly higher in PAW-2 compared with the control group (P = 0.014), while there were no changes in the total bacterial count between different treatment groups. Moreover, mild histological changes were recorded in the intestine, liver, and spleen of PAW groups especially PAW-2 compared with the control one. CONCLUSIONS: PAW offered benefits, such as reducing creatine and urea levels, improving meat characteristics, and increasing lactobacilli count, all of which are crucial for sustainable quail farming. Therefore, further research is needed.

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Polysaccharides are widely used to improve the quality of plant-based meat analogue (PMA). In this study, four kinds of konjac glucomannan (KG) with different deacetylation degrees (DD) were prepared, namely KG1 (native KG, DD = 0.00 %), KG2 (DD = 41.40 %), KG3 (DD = 80.01 %) and KG4 (DD = 89.07 %), and their effects on the quality of PMA were studied. Results manifested that KG3 improved the hardness (from 3017.16 g to 3307.16 g) and protein digestibility (from 49.65 % to 53.01 %) of PMA without reducing the P21, KG2 and KG4 were less effective than KG3, while KG1 led to a significant decline in the hardness and protein digestibility of PMA. The rheological properties and intermolecular force analysis showed that the partially deacetylated KG was more conducive to improving the G' of the protein system during heating and the proportion of covalent bonds in PMA. These findings suggested that partially deacetylated KG was more promising than native or highly deacetylated KG in PMA. Furthermore, scanning electron microscopy revealed that the morphology of KG gradually changed from fine filaments, to coarse filaments, short filaments and granules as DD increased. This study provides a theoretical basis for the application of partially deacetylated KG in PMA.

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Consumer perception of beef is heavily influenced by overall meat quality, a critical factor in the cattle industry. Genomics has the potential to improve important beef quality traits and identify genetic markers and causal variants associated with these traits through genomic selection (GS) and genome-wide association studies (GWAS) approaches. Transcriptomics, proteomics, and metabolomics provide insights into underlying genetic mechanisms by identifying differentially expressed genes, proteins, and metabolic pathways linked to quality traits, complementing GWAS data. Leveraging these functional genomics techniques can optimize beef cattle breeding for enhanced quality traits to meet high-quality beef demand. This paper provides a comprehensive overview of the current state of applications of omics technologies in uncovering functional variants underlying beef quality complexities. By highlighting the latest findings from GWAS, GS, transcriptomics, proteomics, and metabolomics studies, this work seeks to serve as a valuable resource for fostering a deeper understanding of the complex relationships between genetics, gene expression, protein dynamics, and metabolic pathways in shaping beef quality.

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Nutrient quality of plant-based meat and fish alternative (MFA) products has been reported as variable. The present objective was to compare the nutrient density of raw meat and fish with MFA products and to examine MFA ingredients and fortification patterns. Nutrient composition data for raw beef, pork, and chicken (n = 450) came from the USDA Standard Reference Legacy Reselase (SR28) nutrient composition database (n = 450). Data for plant-based meat alternatives (n = 118) came from the USDA Branded Food Products Database (BFPDB). Data for fish and seafood (n = 68) and alternatives (n = 12) came from the Danish Frida Database and Mintel (n = 503). Analyses compared macronutrient content and selected micronutrients per 100 g and percentage of US Daily Values. Nutrient density scores were based on the NRF5.3 algorithm. NRF5.3 scores were significantly lower for MFA products as compared to meat or fish. Saturated fat content was lower, but the mean MFA sodium content was 660 mg/100 g compared to 60 mg/100 g for beef. Mean protein content (17 g) was lower than for beef and pork (20 g). A search of ingredient lists found that fortification with most nutrients associated with animal source proteins (such as B vitamins, vitamin D, iodine, zinc, and omega-3 EPA and DHA) was minimal. Plant-based MFA products would benefit from nutrient standards and fortification guidelines to ensure that these products are not nutritionally inferior to the originals.

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The EAT-Lancet commission advocated a planetary health diet in 2019. Some have raised concerns about its nutrient adequacy. This study used data from recent Nutrition and Health Surveys in Taiwan-from 2017 to 2020 (n = 6538)-to assess food intake and nutrient adequacy among three red meat consumption levels (low/medium/high). The low red meat group, whose diet was similar to the EAT-Lancet reference, showed significantly higher/better levels of vitamins C and E, calcium, magnesium, sodium, dietary fiber, and the polyunsaturated to saturated fatty acids ratio. However, protein, B vitamins, phosphorus for females, and zinc were slightly compromised, but they were still near or above 100% of the Daily Reference Intakes (DRIs), except for zinc (74~75%). The intake levels of vitamin D, calcium, and dietary fiber in all three groups at times did not reach 70% of the DRIs, but this was more pronounced in the high red meat group compared to the low red meat group. Replacing ultra-processed foods (UPFs) with whole/healthy foods improved levels of zinc, calcium, and dietary fiber, but not vitamin D. Finally, a proposed local planetary health dietary construct was provided, suggesting maintaining the original distribution of the food groups recommended by the Taiwan Food Guide while specifying amounts of protein sources in line with the EAT-Lancet principles. The proposed diet, according to our estimation and comparison with Taiwanese DRIs, was nearly perfect in its nutrient composition.

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One of the most promising approaches to food quality assessments is the use of impedance spectroscopy combined with machine learning. Thereby, feature selection is decisive for a high classification accuracy. Physically based features have particularly significant advantages because they are able to consider prior knowledge and to concentrate the data into pertinent understandable information, building a solid basis for classification. In this study, we aim to identify physically based measurable features for muscle type and freshness classifications of bovine meat based on impedance spectroscopy measurements. We carry out a combined study where features are ranked based on their F1-score, cumulative feature selection, and t-distributed Stochastic Neighbor Embedding (t-SNE). In terms of features, we analyze the characteristic points (CPs) of the impedance spectrum and the model parameters (MPs) obtained by fitting a physical model to the measurements. The results show that either MPs or CPs alone are sufficient for detecting muscle type. Combining capacitance (C) and extracellular resistance (Rex) or the modulus of the characteristic point Z1 and the phase at the characteristic frequency of the beta dispersion (Phi2) leads to accurate separation. In contrast, the detection of freshness is more challenging. It requires more distinct features. We achieved a 90% freshness separation using the MPs describing intracellular resistance (Rin) and capacitance (C). A 95.5% freshness separation was achieved by considering the phase at the end of the beta dispersion (Phi3) and Rin. Including additional features related to muscle type improves the separability of samples; ultimately, a 99.6% separation can be achieved by selecting the appropriate features.

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