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The quality modification of chilled, raw conditioned mutton (RCM) after storage significantly impacts consumer preferences, making shelf-life extension and quality preservation crucial. This study evaluated the effects of sodium diacetate (SDA), sodium dehydroacetate (DHA-S), ε-polylysine hydrochloride (PLH), and nisin on RCM quality and bacterial community at concentrations of 3.0, 0.50, 0.30, and 0.50 g/kg, respectively. Major spoilage bacteria were isolated, and the inhibitory effects of these preservatives were studied, leading to the development of compound preservatives. TVC increased significantly during RCM preparation, with continuous increases in TVC and TVB-N levels throughout storage, reaching spoilage thresholds by day 5. Bacterial diversity decreased markedly, with and dominating. SDA effectively inhibited TVC proliferation and TVB-N formation, maintaining bacterial diversity and reducing and abundance while promoting the growth of lactic acid bacteria. Five spoilage bacteria strains were isolated, including B2107-1, a potent meat spoilage bacterium under refrigeration. PLH and SDA demonstrated significant inhibitory activity against this bacterium, with minimum inhibitory concentrations (MICs) of 0.175 and 0.400 mg/mL, respectively. Combining PLH and SDA at 1MIC + 3MIC exhibited a synergistic antimicrobial effect, maintaining RCM quality with reduced SDA usage. These findings demonstrate the significant potential of these preservatives in chilled, raw meat products.
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http://dx.doi.org/10.3390/foods14091579 | DOI Listing |
Biomater Biosyst
September 2025
Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy.
Following dental extraction, alveolar bone loss, driven by the osteoclast (OC) bone-eroding cells, is a relevant concern in dental practice since it could compromise the possibility of installing dental implants. This study aimed to develop a drug delivery system releasing the antiosteoclastogenic molecule gallic acid (GA) at the alveolar bone level to control the dysregulated balance between OCs and bone-building osteoblasts and thus delay bone erosion. We functionalized small blocks of the hydroxyapatite- and β-tricalcium phosphate-based RIGENERA BTK BCP biomaterial with layered double hydroxide (LDH) and GA (RIG_LDH-GA).
View Article and Find Full Text PDFSci Data
August 2025
Institute for Environmental Design and Engineering, University College London, London, WC1H 0NN, UK.
This study aims to develop comprehensive real operational datasets from three distinct building types-a large-scale office, an auditorium, and a hospital-focusing on Air Handling Units (AHUs) equipped with Constant Air Volume (CAV) systems for Automated Fault Detection and Diagnosis (AFDD). Although a consistent methodological framework was followed, data collection and preparation processes were specifically adapted to each building's unique operational characteristics. Key procedures included: (1) customized raw data collection based on individual building requirements; (2) thorough identification and removal of missing or duplicated data points; (3) systematic annotation of operational conditions and fault categories; and (4) strategic division of datasets into training, validation, and test subsets tailored to each building's specific data features.
View Article and Find Full Text PDFSci Rep
August 2025
Reservoir Geological Modelling Lab, CEPETRO, 13083-896, Campinas, Brazil.
Machine learning (ML) algorithms have been widely applied across geosciences for tasks such as data conditioning, resolution enhancement, and image classification. The use of ML enables the analysis of large datasets, the identification of complex patterns, and can save time and reduce costs compared to conventional approaches. Among these techniques, Convolutional Neural Networks (CNNs) have emerged as powerful tools for image classification in various geoscientific applications.
View Article and Find Full Text PDFbioRxiv
July 2025
Johns Hopkins University, Bloomberg School of Public Health, Department of Environmental Health and Engineering, Baltimore, MD, USA.
In many regions around the world, including the United States, inorganic arsenic (iAs) contaminates groundwater used for drinking, food production, and irrigation. Although the World Health Organization has set a safety limit of 10 μg/L for arsenic in drinking water, an estimated 200 million people worldwide are still exposed to arsenic concentrations above this threshold. Eliciting a broad range of adverse health effects, arsenic is a known carcinogen classified by the International Agency for Research on Cancer (IARC) and causes increased susceptibility to infectious diseases, highlighting its role as an immunotoxicant.
View Article and Find Full Text PDFJ Physiol Biochem
August 2025
Instituto de Investigaciones Biomédicas "Sols-Morreale" (IIBm, CSIC- UAM), Madrid, Spain.
Activation of brown adipose tissue (BAT) or subcutaneous adipose tissue (iWAT in mice) is a strategy to regulate metabolic homeostasis. The NAD-dependent deacetylase Sirtuin 1 (SIRT1) plays an essential role in energy metabolism and inflammation and is a promising target to tackle obesity and associated comorbidities. We have previously reported the beneficial effect of moderate SIRT1 overexpression in protecting mice against inflammation-induced insulin resistance and impaired BAT thermogenesis.
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