52 research outputs found

    Measuring circularity in food supply chain using life cycle assessment : refining oil from olive kernel

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    Valorization of food waste is a potential strategy toward a circular food supply chain. In this regard, measuring the circularity of food waste valorization systems is highly important to better understand multiple environmental impacts. Therefore, this study investigated the circularity of a food waste valorization system (refining oil from olive kernel) using a life cycle assessment methodology. An inventory of an industrial-based olive kernel oil production system is also provided in this study. The system boundary was the cradle to the factory gate of the production system. The results indicated that natural gas consumption was the highest contributor to most of the investigated impact categories. The global warming potential of one kg of oil produced from olive kernel was calculated to be 1.37 kg CO(2)eq. Moreover, the calculated damages of 1 kg oil production from olive kernel to human health, ecosystem quality, and resource depletion were 5.29 x 10(-7) DALY, 0.12 PDF center dot m(2)center dot yr., and 24.40 MJ, respectively

    Measuring circularity in food supply chain using life cycle assessment : refining oil from olive kernel

    Get PDF
    Valorization of food waste is a potential strategy toward a circular food supply chain. In this regard, measuring the circularity of food waste valorization systems is highly important to better understand multiple environmental impacts. Therefore, this study investigated the circularity of a food waste valorization system (refining oil from olive kernel) using a life cycle assessment methodology. An inventory of an industrial-based olive kernel oil production system is also provided in this study. The system boundary was the cradle to the factory gate of the production system. The results indicated that natural gas consumption was the highest contributor to most of the investigated impact categories. The global warming potential of one kg of oil produced from olive kernel was calculated to be 1.37 kg CO(2)eq. Moreover, the calculated damages of 1 kg oil production from olive kernel to human health, ecosystem quality, and resource depletion were 5.29 x 10(-7) DALY, 0.12 PDF center dot m(2)center dot yr., and 24.40 MJ, respectively

    A Comparative Study of Energy Use and Greenhouse Gas Emissions of Canola Production

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    I n this research, the energy flow and production energy indices of canola cultivation in Trakya province of Turkey, Golestan and Mazandaran provinces of Iran were compared. Diesel fuel and chemical fertilizer inputs were the highest consumer of energy in the production of canola in these three regions. The results indicated that despite the higher energy use of machinery in Trakya province of Turkey, the energy use of diesel fuel in this province is less than the energy consumed in the two northern provinces of Iran, which could be due to available old machines for the production of canola in Mazandaran and Golestan provinces. Total greenhouse gas emissions of canola production for these regions were computed 562.85, 652.86 and 887.30 kgCO 2eq ha-1, respectively. The inputs of chemical fertilizer and diesel fuel in canola production produced the highest percentage of gas emissions in these three areas. Energy consumption for potential feedstock production for one kg production of biodiesel fuel in these provinces was calculated as 14.76, 20.66 and 37.77 MJ, respectively. The amounts of greenhouse gas emissions for potential feedstock production for one kg production of biodiesel were obtained 0.45, 0.76 and 1.17 kgCO 2eq for Trakya, Golestan and Mazandaran provinces, respectively

    A Comparative Study of Energy Use and Greenhouse Gas Emissions of Canola Production

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    I n this research, the energy flow and production energy indices of canola cultivation in Trakya province of Turkey, Golestan and Mazandaran provinces of Iran were compared. Diesel fuel and chemical fertilizer inputs were the highest consumer of energy in the production of canola in these three regions. The results indicated that despite the higher energy use of machinery in Trakya province of Turkey, the energy use of diesel fuel in this province is less than the energy consumed in the two northern provinces of Iran, which could be due to available old machines for the production of canola in Mazandaran and Golestan provinces. Total greenhouse gas emissions of canola production for these regions were computed 562.85, 652.86 and 887.30 kgCO2eq ha -1 , respectively. The inputs of chemical fertilizer and diesel fuel in canola production produced the highest percentage of gas emissions in these three areas. Energy consumption for potential feedstock production for one kg production of biodiesel fuel in these provinces was calculated as 14.76, 20.66 and 37.77 MJ, respectively. The amounts of greenhouse gas emissions for potential feedstock production for one kg production of biodiesel were obtained 0.45, 0.76 and 1.17 kgCO2eq for Trakya, Golestan and Mazandaran provinces, respectively. Abstract International Journal of Agricultural Management and Development (IJAMAD

    Does selection of variety affect the exergy flow of agricultural production? Rice production system in Italy

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    Exergy analysis is receiving considerable attention as an approach to be applied for making decision toward moving to a sustainable and energy-efficient food supply chain. This study focuses on how selection of variety affects the exergy flow of a crop production system (rice production). In this regard, 9 varieties of rice were investigated in Italy, the largest rice producer in Europe. Sensitivity analysis of inputs consumption and the exergy management scenarios of the most sensitive inputs are also provided in this study. The results indicated that the cumulative exergy consumption value of the investigated rice varieties ranges from 11,682 MJha-1 to 15,541 MJha-1. Chemical fertilizers and diesel fuel consumption were the biggest contributors to the total energy consumption in all investigated varieties. Luna variety, with the cumulative degree of perfection value of 3.87 and renewability indicator of 0.74, was identified as the most exergy efficient variety of rice in Italy

    Comparative review of three approaches to biofuel production from energy crops as feedstock in a developing country

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    This study is a comparative evaluation of three approaches to biofuel production from energy crops including biogas, bioethanol and biodiesel to ascertain which one is the most effective and more energy-efficient than the others. Moreover, the potential of biofuel production from the best option was studied. For this purpose, biogas generation from corn silage, bioethanol generation from corn, and biodiesel production from peanuts in Iran (as a case study) were studied. The results revealed that 10,683.36 m3 of biogas, 2.53 m3 of bioethanol and 0.70 m3 of biodiesel could be produced per each hectare of energy crops. The total greenhouse gas emissions for each MJ energy generation of biogas, bioethanol and biodiesel were 0.01, 0.04 and 0.03 kgCO2eq, respectively. Accordingly, the total annual biogas potential from corn silage (as the best option) in Iran is 3953.74 million m3, which is equivalent to 1515.94 million barrels of oil

    Neurological Involvements in COVID-19: A hospital-based study

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    ObjectivesThe SARS-CoV-2 pandemic is the most challenging crisis in the contemporary world. Besides severe pulmonary involvement, the disease also has several extrapulmonary manifestations, and new signs and symptoms are associated with it every dayThe present study aimed to inquire about the frequency of neurological manifestations and risk factors of COVID-19. Materials & MethodsThis retrospective, descriptive study included patients with neurological involvement admitted to the Alborz University of Medical Sciences academic hospitals from March 2020 to July 2020 with confirmed COVID-19 infection. The data included in the analysis were the patient’s demographic information, underlying diseases, neurological manifestations, and laboratory findings.   ResultsThe study included ninety-five patients with a mean age of fiftynine. Neurological symptoms and signs were observed in 91.6% and 10.5% of the patients, respectively. The most frequently associated neurological symptoms of COVID-19 were fatigue (49.5%), headache (47.4%), and dizziness (45.3%). Furthermore, the most common neurological involvements included gait disorders (6.3%), cerebellar dysfunction (4.2%), and cerebrovascular accidents (3.15%). Positive troponin was shown to be the strongest predictor of neurological signs (OR=21, P=0.017), followed by WBC≥15,000 (OR = 20.75, P=0.018) and a history of respiratory disease (OR=7.42, P=0.007)
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