Microbial biotransformation of furosemide for environmental risk assessment: identification of metabolites and toxicological evaluation

Environmental Science and Pollution Research - Some widely prescribed drugs are sparsely metabolized and end up in the environment. They can thus be a focal point of ecotoxicity, either themselves...     

Estimation and uncertainty analysis of groundwater quality parameters in a coastal aquifer under seawater intrusion: a comparative study of deep learning and classic machine learning methods

Environmental Science and Pollution Research - Excessive withdrawal of groundwater for agricultural irrigation can cause seawater intrusion into coastal aquifers. Such a case will in turn results...     

Nexus between renewable energy consumption,economic growth,and CO2 emissions in Algeria: New evidence from the Fourier-Bootstrap ARDL approach

Governments often impose new energy strategies to support new CO₂ emission-reducing technologies without affecting economic growth. Hence, this study aims to re-investigate the relationship between economic growth, renewable energy use, and CO₂ emissions in Algeria from 1990 to 2018. Motivated by the mixed findings of the existing literature, which ignore the Fourier function and bootstrap test and apply the newly developed Fourier bootstrap autoregressive distributed lag model (FARDL). Our findings indicate that renewable energy use and growth have a long-run relationship with CO₂ emissions and do not accept the existence of the Environmental Kuznets Curve (EKC) hypothesis for CO₂ emissions in Algeria. In the long term, the results show that renewable energy use has a negative and significant impact, and growth has a positive and statistically significant effect on CO₂ emissions. In the short run, the findings indicate that renewable energy use reduces CO₂ emissions, while both the growth and squared growth had positive and statistically insignificant impacts on CO₂ emissions, confirming the lack of evidence supporting the EKC hypothesis. Moreover, the causality test indicates a one-way causation from growth to renewable energy use, confirming the conservation hypothesis for Algeria and from growth to CO₂ emissions. Interestingly, we found one-way causality from CO₂ emissions to renewable energy use, attributing this to the fact that renewable energy usage has yet to reach a point that it can significantly cause a CO₂ emissions reduction. Based on the results, we recommend that policymakers design appropriate policies to decarbonize energy consumption, e.g., increasing fossil fuel costs and implementing a carbon tax. In contrast, Algeria should promote new CO₂ emission-reducing technologies without affecting economic growth, e.g., tax exemptions and reductions for enterprise owners in the renewable energy industry.     

Teil II: Analytik von Toxaphenrückständen (UWSF 2/1998)

Residue analysis of toxaphene has been difficult because of the complexicity of the technical mixture consisting of a high number of compounds with very similar structure and differing chloro content. Furthermore, the composition of toxaphene in environmental samples varies widely and is normally not like that of the technical mixture. Therefore, quantification of single components in environmental samples was impossible. After the isolation and identification of a great number of components during the last decade, enough standards are available for reliable quantification of toxaphene in all environmental compartments. Recently, most research has been done on the separation of chiral components of toxaphene with a view to identify degradation mechanisms and distribution pathways.     

Investigation of the blood biochemical status of gas station workers

The aim of this study was to examine occupation-associated effects on blood cytokine and immunoglobulin g (IgG) levels, antioxidant enzyme activities (SOD, GSHPx, and catalase), nitrite and nitrate levels, and malondialdehyde (MDA) concentrations in gas station workers (GSWs). Trace elements (Cu, Zn, and Pb) in serum, and the amount of hemoglobin in erythrocytes were also determined. Forty male GSWs and 30 male controls were included in the study. No significant difference was observed between the hemoglobin levels of GSWs and those in controls. Proinflammatory cytokine levels, such as tumor necrosis factor-α and interleukin-8 were significantly increased in GSWs’ sera. Interleukin-1β and interleukin-6 were below the detection limit of the assay in both the groups. Cytokine receptor interleukin 2R concentration and IgG levels were also significantly increased. Approximately, two-fold increase in nitrite and nitrate concentrations was found in GSWs’ sera. Erythrocyte antioxidant enzyme levels were significantly lower in GSWs’ blood. MDA concentration, a measure of lipid peroxidation, was found to be significantly elevated. Zn levels were significantly decreased, whereas Cu and Pb levels were increased in GSWs’ sera. Smoking was not found to be a major confounder for the association between exposure and blood parameters.     

Solid phase extraction and preconcentration of cobalt in mineral waters with PAR-loaded Amberlite XAD-7 and flame atomic absorption spectrometry

A simple, sensitive, accurate, and selective method for determination of ultratrace levels of Co is modified. The method is based on preconcentration of Co on the PAR-loaded Amberlite XAD-7 at pH 2.0 ± 0.2 for contact time as low as 45 min. The adsorbed cobalt was eluted with concentrated nitric acid and measured by flame atomic absorption spectrometry. Recoveries up to 90% were achieved. The optimized preconcentration method was applied to cobalt determination in natural mineral waters. The detection limit was found to be 0.1 ng mL⁻¹. The relative standard deviation was found to be 13% for 600 mL of 2.0 ng mL⁻¹, for 10 replicate preconcentration procedures. Cobalt concentrations in the studied water samples were found to be in the ranges of 0.5–3.5 ng mL⁻¹.     

Conversion of leather wastes to useful products

The main objective of the present study is to investigate the production of useful materials from different kinds of leather waste. Three different types of tannery wastes (chromium- and vegetable-tanned shavings, and buffing dust) were pyrolyzed in a fixed bed reactor at temperatures of 450 and 600 °C under N₂ atmosphere. Gas, oil, ammonium carbonate and carboneous residue were obtained by pyrolysis. The effect of temperature and type of leather waste on product distribution of pyrolysis was investigated. Buffing dust gave the highest yield of oil (ca. 23%), while other wastes recorded yields of ca. 9%. Results of elemental analysis and column chromatography showed that pyrolysis oils could be used as fuel or chemical feedstock after re-treatment. The yields of carboneous residue (chars) were between 37.5% and 48.5% and their calorific value was between 4300 and 6000 kcal kg⁻¹, suitable for use as solid fuel. In addition, these chars were activated by CO₂ to obtain the activated carbon. The activated carbon having highest surface area (799.5 m² g⁻¹) was obtained from chromium-tanned shavings. Activated carbons prepared from chromium-tanned leather were presented as an adsorbant for the adsorption of dyes from aqueous solution.     

Detection and object-based classification of offshore oil slicks using ENVISAT-ASAR images

The aim of this study is to propose and test a multi-level methodology for detection of oil slicks in ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery, which can be used to support the identification of hydrocarbon seeps. We selected Andrusov Ridge in the Central Black Sea as the test study area where extensive hydrocarbon seepages were known to occur continuously. Hydrocarbon seepage from tectonic or stratigraphic origin at the sea floor causes oily gas plumes to rise up to the sea surface and form thin oil films called oil slicks. Microwave sensors like synthetic aperture radar (SAR) are very suitable for ocean remote sensing as they measure the backscattered radiation from the surface and show the roughness of the terrain. Oil slicks dampen the sea waves creating dark patches in the SAR image. The proposed and applied methodology includes three levels: visual interpretation, image filtering and object-based oil spill detection. Level I, after data preparation with visual interpretation, includes dark spots identification and subsets/scenes creation. After this process, the procedure continues with categorization of subsets/scenes into three cases based on contrast difference of dark spots to the surroundings. In level II, by image and morphological filtering, it includes preparation of subsets/scenes for segmentation. Level III includes segmentation and feature extraction which is followed by object-based classification. The object-based classification is applied with the fuzzy membership functions defined by extracted features of ASAR subsets/scenes, where the parameters of the detection algorithms are tuned specifically for each case group. As a result, oil slicks are discriminated from look-alikes with an overall classification accuracy of 83% for oil slicks and 77% for look-alikes obtained by averaging three different cases.     

Morin protects against acrylamide-induced neurotoxicity in rats: an investigation into different signal pathways

Environmental Science and Pollution Research - The presented study investigates the effects of morin against toxicity induced by acrylamide (ACR) in the brains of Sprague Dawley rats. In this...     

Where is the gray side of green growth? Theoretical insights,policy directions,and evidence from a multidimensional approach

Environmental Science and Pollution Research - Addressing the geographical relocation of the pollution-intensive gray side of low-carbon green production, our study analyzes potential determinants...