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    Wyświetlanie 1-4 z 4
    Tytuł:
    A Step Forward Towards Exploring Nutritional and Biological Potential of Mushrooms: A Case Study of Calocybe gambosa (Fr.) Donk Wild Growing in Serbia
    Autorzy:
    Petrović, Joavana
    Fernandes, Angela
    Stojković, Dejan
    Soković, Marina
    Barros, Liliana
    Ferreira, Isabel C.F.R.
    Shekhar, Aditya
    Glamoclija, Jasmina
    Powiązania:
    https://bibliotekanauki.pl/articles/2019468.pdf
    Data publikacji:
    2022-03-01
    Wydawca:
    Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
    Tematy:
    C. gambosa
    nutritional value
    biological activity
    chemical characterization
    food ingredient
    Opis:
    Edible mushrooms have been appreciated globally for their organoleptic, nutritional and chemical properties. In the present study, fruiting body of Calocybe gambosa, wild growing in Serbia, has been chemically characterized (content of macronutrients, soluble sugars, tocopherols, fatty and organic acids) and its bioactive (antimicrobial and antioxidant) properties were evaluated. The results obtained suggest that this mushroom is a source of carbohydrates and proteins (72 g/100 g dry weight (dw) and 16 g/100 g dw, respectively), with a low fat content (1.5 g/100 g dw). Sugar analysis revealed the presence of trehalose (3.82 g/100 g dw) and mannitol (0.22 g/100 g dw). Tocopherol composition revealed the presence of α-tocopherol (7.8 μg/100 g dw), while fatty acid analysis revealed the presence of 24 fatty acids with the prevalence of polyunsaturated fatty acids. Amongst organic acids, oxalic, quinic, malic, citric and fumaric acid were detected (2.8 g/100 g dw, 1.45 g/100 g dw, 11.3 g/100 g dw, 1.3 g/100 g dw, 0.08 g/100 g dw, respectively). Comprehensive antioxidant activity analysis (reducing power, DPPH radical scavenging activity, β-carotene/linoleate and TBARS assays) indicate that the mushroom is a perspective antioxidant source, whereas its antimicrobial potential turned out to be moderate. Nevertheless, at a sub-inhibitory level, the methanolic extract disrupted cell-to-cell communication using Pseudomonas aeruginosa PAO1 as a model system. Finally, enrichment of oatmeal cookies with C. gambosa flakes not only improved their nutritional value, but was praised among the participants in sensory evaluation test, indicating that along with results of chemical composition and biological activity, this mushroom has a potential to be regarded as functional food.
    Źródło:
    Polish Journal of Food and Nutrition Sciences; 2022, 72, 1; 17-26
    1230-0322
    2083-6007
    Pojawia się w:
    Polish Journal of Food and Nutrition Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of work-related injuries in mining industry in Serbia
    Autorzy:
    Ivaz, Jelena
    Petrović, Dejan
    Nikolić, Ružica R.
    Djoković, Jelena M.
    Powiązania:
    https://bibliotekanauki.pl/articles/88464.pdf
    Data publikacji:
    2020
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    mining industry
    safety
    work-related injuries
    absence from work due to injury
    przemysł wydobywczy
    bezpieczeństwo
    wypadek przy pracy
    bezpieczeństwo i higiena pracy
    absencja powypadkowa
    Opis:
    The mining industry in Serbia has an important place in the country's economic development. Bearing in mind that the number of injuries that occur in the mining industry is unacceptably high, occupational safety and health is a challenge that existing and future mines will have to deal with. Studying injuries in mining, it was noticed that injuries requiring an absence from work for more than three days (especially fatal ones) are diametrically different in relation to the cause and manner of events related to injuries for which an absence from work is not necessary. In this research, authors focused on injuries that were characterized as ones requiring an absence from work. The statistical analysis of work-related injuries in mining is presented, as well as analysis of the direct causes of injuries, which are described as unsafe conduct of employees, unsafe conduct of company's management and/or unsafe working environment. In relation to classification of causes of injuries, a recommendation on what needs to be changed in order to remedy this situation in Serbia is given.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2020, 2, 1; 158-165
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Landfill leachate migration modeling using the LandSim software. Case study of Gigoš Regional sanitary landfill
    Autorzy:
    Petrović, Natalija
    Vasović, Dejan
    Nešić, Bratimir
    Petrović, Nemanja
    Powiązania:
    https://bibliotekanauki.pl/articles/28407394.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    waste migration
    landfill
    concentration of pollutants
    heavy metals
    migracja odpadów
    składowisko
    stężenie zanieczyszczeń
    metale ciężkie
    Opis:
    The paper aims to provide insight into data on leachate migration, composition, and migration time and to improve the engineered barrier system (EBS) importance through different pollutant concentrations in the landfill at the base of the unsaturated zone and off-site, for the real-case scenario with composite liners (EBS) and the worst-case scenario with no liners (NO EBS) using the Land Sim software for 30, 100, 1000 and 20 000 years in 1000 iterations. Also, the paper aims to analyze the leachate leakage through the waste for different migration times and different internal layers to create a qualitative and quantitative basis for assessing leachate’s impact on the environment. The results obtained by modeling the parameters of the real case at the Gigoš landfill showed that the leachate leakage amount is about 340 times lower when EBS is present and concentrations of nitrogen, chlorides, arsenic, lead, cyanides, and mercury in the worst-case scenario (NO EBS) exceed the permitted limits according to the laws of the Republic of Serbia.
    Źródło:
    Environment Protection Engineering; 2023, 49, 4; 89--108
    0324-8828
    Pojawia się w:
    Environment Protection Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of the work-related injuries based on neural networks
    Autorzy:
    Ivaz, Jelena
    Nikolić, Ružica R.
    Petrović, Dejan
    Djoković, Jelena M.
    Hadzima, Branislav
    Powiązania:
    https://bibliotekanauki.pl/articles/1831305.pdf
    Data publikacji:
    2021
    Wydawca:
    Stowarzyszenie Menedżerów Jakości i Produkcji
    Tematy:
    mining industry
    safety
    work-related injuries
    artificial neural networks
    przemysł górniczy
    bezpieczeństwo
    wypadek przy pracy
    sztuczne sieci neuronowe
    Opis:
    Artificial neural networks (ANN) are a powerful tool in the decision-making process, especially in solving the complex problems with a large number of input data. The possibility to predict the work-related injuries in the underground coal mines, based on application of the neural networks, is analyzed in this work. the input data for the network were obtained based on a survey of 1300 respondents. After analyzing the input data influence on the network output, 14 most influential inputs were selected, with help of which the network correctly predicted whether the worker would suffer the work-related injury or not, with 80% precision. The two models were developed, based on the multilayer perceptron (MLP) and radial basis function (RBF) networks. The two models' results were compared to each other. The sensitivity analysis was used to select the most influential parameters, like mine, age of miners, as well as their work experience. The parameters were further analyzed by use of the descriptive statistics. The selected parameters are direct indicators of problems that can cause injuries. The obtained results point to the fact that the work-related injuries can be successfully predicted by application of the artificial neural networks. The proposed models' importance is reflected in the clear indicators for enforcing the stricter occupational safety and organizational measures in order to reduce the number of work-related injuries in underground mines.
    Źródło:
    System Safety : Human - Technical Facility - Environment; 2021, 3, 1; 19-37
    2657-5450
    Pojawia się w:
    System Safety : Human - Technical Facility - Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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