The aim of this study is to determine the dimensions that affect the sustainability performance of the fresh vegetable and fruit supply chain and to determine the performance that occurs along the chain line. https://www.selleckchem.com/products/climbazole.html In this study conducted for the fresh fruit and vegetable sector, it is desirable to measure each dimension by finding the performance indices of sustainable supply chain management. Dimensions of this study include supply chain management, resource management, food safety, packaging, and waste management. For these five dimensions gathered from the literature and expert opinions, 26 sub-criteria are determined for use in performance evaluation. Structural equation modeling (SEM) and analytical hierarchy process (AHP) methods are used together to calculate the performance index of each dimension and then to obtain a final fresh vegetable and fruit supply chain performance score. This study has been performed in Turkey. Turkey, between the countries of the world, is located in the top 5 in the fruit and vegetable production. The performance of the five different dimensions is calculated. In this performance assessment, supply chain management dimension is calculated as the highest performance with a score of 91.22%. The lowest performance index score as 66.77% is the waste management dimension. The final sustainable fresh fruit and vegetable supply chain performance score is calculated as 79.96%. In addition to the limited performance evaluation studies in the sustainable supply chain, the fact that this study deals with the food chain, modeling and creating a final performance demonstrates the innovative aspect of the study. Attention is also drawn to the parameters that need to be addressed for more sustainable food.Environmental pollution is a geopolitical problem, and researchers have not considered it seriously yet. This study examines the asymmetric influence of geopolitical risk on energy consumption and CO2 emissions in BRICS economies using the non-linear autoregressive distributed lag model (NARDL) testing method over the period of 1985-2019. Therefore, we observed that in the long run, a positive and negative change in geopolitical risk has negative effect on energy consumption in India, Brazil, and China. The outcomes confirmed that an increase in geopolitical risk has negative effect on CO2 emissions in Russia and South Africa. Although a decrease in geopolitical risk has negative effects on CO2 emissions in India, China, South Africa, it has positive coefficient in Russia in the long run. Based on empirical findings, we also revealed that asymmetries mostly exist in terms of magnitude rather than direction. Our empirical results are country and group specific. The findings call for important changes in energy and environment policies to accommodate geopolitical risks.The study analyzes the impact of economic growth, energy consumption, foreign direct investment inflows, population, population density, labor force, and trade openness on carbon dioxide emissions in seven emerging Asian economies over the period 1991-2017. To this end, it uses cross-section dependence test, second-generation unit root test, panel cointegration, and the bound test for cointegration and the autoregressive distributed lag estimations. The findings of the study are as follows first, the kinked exponential growth is estimated for all the variables on the individual data set of seven countries. Second, the study finds a positive association of economic growth, energy consumption, population, and population density on carbon dioxide emissions. Third, it finds that the foreign direct investment inflows are negatively associated with carbon dioxide emissions. The paper also suggests potential implications and some future research avenues.In this work, pesticide residues in 493 fruit and vegetable samples obtained from markets in Turkey were detected after QuEChERS (quick, easy, cheap, effective, rugged, and safe) extraction followed by liquid chromatography-tandem mass spectrometry with electron spray ionization (LC-ESI/MS/MS) and gas chromatography-tandem mass spectrometry (GC/MS/MS). Validation of the method was tested based on the European Union SANTE/12682/2019 guidelines. The samples were analyzed to determine the concentrations of 500 pesticide residues. The results indicated that 254 samples of 493 samples contaminated with pesticides, only 22% contained pesticide residues at or below maximum residue limits (MRLs), and 30% contained pesticide residues above MRLs. Chlorpyrifos was the most common pesticide (105 samples) from the detected pesticides; 49 samples were found above to MRLs with concentrations of 0.011-2.001 mg/kg. Among samples, peach (88%), dill (84%), mushroom (83%), arugula (73%), and spinach (72%) were the crops with the higher percentages of pesticide residues.Biodiesel is a renewable, clean-burning diesel replacement that can be used in existing diesel engines without modification. Biodiesel is among the nation's first domestically developed and economically usable advanced biofuels. Throughout the field of biodiesel including FAME/FAGE diesel variants, the concentrations of close to around 20% conform to every requirement out from the existing fuel content guidelines. Larger blending ratios are essential for hydrotreated vegetable oil blends to lubricity enhancers. Of organic biobutanol blends, the suggested blending ratio is restricted to 10% or less to prevent high water content and low cetane content. Here, the presented survey intends to make a review of 65 papers that concerns with biodiesel blends. Accordingly, systematic analyses of the adopted techniques are carried out and presented briefly. In addition, the performances and related maximum achievements of each contribution are also portrayed in this survey. Moreover, the chronological assessment and various blends of biodiesel in the considered papers are reviewed in this work. Finally, the survey portrays numerous research problems and weaknesses that may be helpful for researchers to introduce prospective studies on biodiesel blends.One hundred and ninety-six drinking water samples from the different regions of Tarragona province (Catalonia, Spain) were analysed to determine the gross alpha and beta activity. Individual alpha emitting isotope activities were also determined to evaluate a possible relationship between their radiological content and the lithological and hydrogeological formations present in the studied area. The results obtained showed that approximately 23% of the analysed samples, mainly from five of the evaluated regions, had a gross alpha index exceeding the parametric value of 0.1 Bq/L for waters intended for human consumption according to the current legislation. This could be related to the presence of natural radionuclides in these water samples. The differences between the radiological content in these samples could be related to the different lithological conditions of the areas included in this study. High activity levels of 234U, 238U, 224Ra, 226Ra and 228Ra were detected in specific samples, mainly from granitic and carbonate areas.
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