The amphibian populations have faced a drastic decline over the past decades. This decline has been associated with the presence of contaminants in the environment, among other environmental stressors. The present study tested the responses following the exposure to lithium (2.5 mg L⁻¹) and selenium (10μg L⁻¹), both isolated and as a mixture, on the metabolic status of the tail muscle of premetamorphic American bullfrog (Lithobates catesbeianus) through the assessment of the total protein content, mobilization of glucose and triglycerides, and the activity of lactate dehydrogenase (LDH). The exposure followed a 21-day assay with two sampling periods (on the 7th and 21st day after the onset of exposure) to evaluate the effects over time. The group exposed to the mixture presented a statistically decreased LDH activity (P < 0.05) in both sampling periods. The presence of selenium elicited a statistically significant increase (P < 0.05) in the glucose mobilization after 7 days of exposure. After 21 days, the animals exposed to selenium presented levels of glucose mobilization comparable to the control group. The mobilization of glucose and triglycerides remained similar to the control group for the animals exposed to lithium and to the mixture in both periods of sampling (P > 0.05). The total protein content did not show any statistical difference in the treated groups throughout the experiment (P > 0.05). The presented results highlight the importance of the assessment of mixtures that can occur in the environment, since the combination of contaminants may elicit distinct toxicity compared with the effects triggered by the chemicals isolated.

The protective efficacy of dietary naringenin (NG) has been investigated against the toxicity caused by cadmium chloride (CdCl₂) using biomarkers of oxidative stress in the liver, gills and kidney of Labeo rohita. The fish were exposed to environmentally relevant concentrations of CdCl₂ (0.37 and 0.62 mg/L) and simultaneously orally administered with NG (50 mg/kg bw/day) for 60 days. Tissue (gills, liver and kidney) samples were collected on days 15, 30 and 60 of the experiment and analysed for endogenous antioxidants and oxidative stress biomarkers. CdCl₂ exposure for 15 and 30 days induced the development of adaptive mechanism as demonstrated by the enhanced activities of superoxide dismutase, catalase, glutathione peroxidase and glutathione-S-transferase in all three tissues. However, on the 60th day, CdCl₂-induced oxidative damage was stipulated by a decline in the enzyme activities and reduced glutathione (GSH) content significantly (p < 0.05) below control levels along with enhanced levels of lipid peroxidation. Oral administration of NG in toxicant exposed fish significantly restored the altered levels of antioxidants, oxidative enzymes and lipid peroxidation. Besides, integrated biomarker response (IBR) analysis was applied by combining all the biomarkers to indicate the overall stress response index. IBR analysis confirmed the altered levels of biomarkers, the oxidative stress induced by CdCl₂ exposure and the ameliorative potential of NG. The present study suggested that NG might have protective role against Cd-induced oxidative insult which might be ascribed to the ability of NG to chelate metals and scavenge free radicals.

Carbon emission from pig production is an issue of great importance owing to its effect on global warming. Differed from widespread large-scale pig farms in North America and Europe, small-scale and smallholder pig farms are mainly concentrated in China. However, information on carbon emissions from Chinese smallholder pig farms is limited. Additionally, large amounts of drugs and vaccines have been applied during smallholder pig production in China, yet their contribution to carbon emissions is unclear. Therefore, detailed dataset which records all inputs during a pig’s entire life cycle should be obtained, so as to accurately determine the magnitude of carbon emissions from Chinese smallholder pig farms. This study took Yancheng, eastern China, as an example and adopted the carbon footprint (CF), life cycle inventory (LCI), and Intergovernmental Panel on Climate Change (IPCC) greenhouse gas (GHG) field calculations to accurately estimate the GHG emissions resulting from pig production of China. Furthermore, the contributions of vaccine application and other driving forces behind GHG emissions were identified using statistic methods. In the study area, the pig CFs in the nursery period, fattening period, and full life cycle were 5.83, 4.73, and 6.75 kg CO₂ eq·kg⁻¹ respectively. The CF of pig production in the study area varied from 4.74 to 9.48 kg CO₂ eq·kg⁻¹, with an average of 6.75 kg CO₂ eq·kg⁻¹; this average was, overall, higher than that of large-scale pig farms in North America and Europe. GHG emissions from manure (42.87%) and fodder (27.77%) were responsible for a large proportion of the total CF. Normal vaccine inputs contributed highly (15.33%) to the total CF. The contribution of vaccine application to the CF is roughly evaluated, suggesting it may be a potentially important source of GHG emissions in pig production and should receive more attention in the future. Furthermore, GHG emissions from smallholder pig production farms can be significantly reduced by developing a mixed crop-livestock system, increasing the application of organic fertilizers, and installing biogas digesters.

The current paper investigates the sustainability growth problem in the USA and evaluating the co-integration relationship among all variables, including oil, carbon emission, and consumption of energy. We also determine the impacts of energy consumption on the USA economic growth, government spending, and trade openness. We used the co-integration and popular lag model (ARDL) to find the long-term and short-term relationships between all study variables. The empirical results show that (1) the crude oil prices increase and adverse impact on energy demand and government expenditure during the study periods, and CO₂ emission negatively affects USA economic growth. In addition, (2) the innovative accounting method (ICA) results, we used further research to research the causality between study variables. The empirical results propose that oil prices affect the country’s economy responsible for more energy consumption, and the causal effect between consumption of energy and economic growth is not relevant. Wastage of energy allows the system to produce more CO₂ emissions. Model results find that the one-sided causal effects of economic growth and CO₂. We see during the analyses that (CO₂) emissions will negatively impact the country’s economy. Therefore, country policymakers are expected to change fossil fuel energy to non-fossil fuel energy as an essential component of the USA’s economic growth policies.

The removal of ibuprofen (IBP) from the aqueous solution by metal–organic frameworks such as UiO-66, UiO-66-NH₂, and a binary MOF (UiO-66@5%HKUST-1) was studied. MOFs were synthesized by the solvothermal method. The synthesized MOFs were characterized by Fourier-transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), and N₂ adsorption. BET results showed that binary MOF and UiO-66-NH₂ had a smaller surface area and were mesoporous compared to UiO-66, while UiO-66 was microporous. Quantitative investigations were conducted to understand the effect of binary and functional UiO-66 in adsorbing IBP and compared to UiO-66. The results showed that UiO-66 with 213 mg/g had the highest adsorption in comparison to other adsorbents. UiO-66-NH₂ showed the lowest adsorption (96 mg/g) due to a large decrease in the surface area. The binary MOF, despite a slight decrease in surface area (1277.6 m²/g), had lower adsorption than UiO-66 (147 mg/g) due to the antagonistic effects between the adsorbent and IBP. Furthermore, the pH of the solution had a great effect on the adsorption of IBP, and the results showed that increasing the pH values above 4 reduced the adsorption of IBP.

Groundwater drawdown is typically measured using pumping tests and field experiments; however, the traditional methods are time-consuming and costly when applied to extensive areas. In this research, a methodology is introduced based on artificial neural network (ANN)s and field measurements in an alluvial aquifer in the north of Iran. First, the annual drawdown as the output of the ANN models in 250 piezometric wells was measured, and the data were divided into three categories of training data, cross-validation data, and test data. Then, the effective factors in groundwater drawdown including groundwater depth, annual precipitation, annual evaporation, the transmissivity of the aquifer formation, elevation, distance from the sea, distance from water sources (recharge), population density, and groundwater extraction in the influence radius of each well (1000 m) were identified and used as the inputs of the ANN models. Several ANN methods were evaluated, and the predictions were compared with the observations. Results show that the modular neural network (MNN) showed the highest performance in modeling groundwater drawdown ​​(Training R-sqr = 0.96, test R-sqr = 0.81). The optimum network was fitted to available input data to map the annual drawdown ​​across the entire aquifer. The accuracy assessment of the final map yielded favorable results (R-sqr = 0.8). The adopted methodology can be applied for the prediction of groundwater drawdown in the study site and similar settings elsewhere.

Mineral coal extraction in Santa Catarina State (Brazil) Carboniferous Basin has degraded the local ecosystem, restricting the use of its areas. One of the biggest environmental impacts in the mining areas is the uncontrolled disposal of waste and sterile mining with high concentrations of pyrite, which in the presence of air and water is oxidized promoting the formation of acid mine drainage (AMD). These contaminants can be leached into water resources, restrict the use of water and soil, and cause threats to fauna and flora. This study aimed to characterize these areas as to the content of Cd, Pb, Ni and Zn metals in the tailings and waste resulting from coal mining and to survey the species of ferns and lycophytes present. Wastes and tailing samples and specimens of ferns and lycophytes were collected in 23 landfills in six municipalities in the region and in four underlying areas used as controls. Chemical and physical analyses (pH in water and pH in KCl, Ca, Mg, P, K, Na, Mn, Fe, Al, clay and OM contents) were carried out and the total contents of heavy metals Cd, Pb, Ni and Zn were determined. Sampling of ferns and lycophytes was carried out by walking. The levels of heavy metals, Cd, Ni and Zn, were below the prevention concentrations established by CONAMA Resolution 420/2009. Pb levels were above prevention values in four landfills. Sixteen species of ferns and one lycophyte were found, with hemicryptophytes the most frequent and helophytes the most adapted to the environment. Of the species found, Pteridium esculentum (G. Forst.) Cockayne, Pityrogramma calomelanos (L.) Link and Telmatoblechnum serrulatum (Rich.) Perrie, DJ Ohlsen & Brownsey demonstrated resistance to degraded and contaminated environments with Pb, which may constitute an alternative for project monitoring and environmental recovery.

Nanoadsorbents having large specific surface area, high pore volume with tunable pore size, affordability and easy magnetic separation gained much popularity in recent time. Iron-based nanoadsorbents showed higher adsorption capacity for different pollutant removal from water among other periodic elements. Spinel ferrite nanomaterials among iron-bearing adsorbent class performed better than single iron oxide and hydroxides due to their large surface area, mesoporous pore, high pore volume and stability. This work aimed at focusing on water treatment using magnesium ferrite (MgFe₂O₄) nanomaterials. Synthesis routes, properties and pollutant adsorption were critically investigated to explore the performance of magnesium ferrite in water treatment. Structural and surface properties were greatly affected by the factors involved in different synthesis routes and iron and magnesium ratio. Complete removal of pollutants through adsorption was achieved using magnesium ferrite. Pollutant adsorption capacity of MgFe₂O₄ and its modified forms was found several folds higher than Fe₂O₃ and Fe₃O₄ nanomaterials. In addition, MgFe₂O₄ showed strong stability in water than other pure iron oxide and hydroxide. Modification with graphene oxide, activated carbon, biochar and silica was demonstrated to be beneficial for enhanced adsorption capacity. Complex formation was suggested as a dominant mechanism for pollutant adsorption. These nanomaterials could be a viable and competitive adsorbent for diverse pollutant removal from water.

The study explored the suitability of unfractionated extracts from the seeds of the Moringa oleifera tree as a coagulant for water treatment. The coagulant was obtained by soaking crushed and sieved seeds in a low salinity aqueous solution: a simple and inexpensive alternative to conventional coagulants in settings where specialized expertise and equipment are lacking. The performance of M. oleifera-derived coagulants was quantified in terms of turbidity removal, bacteriophage clearance, concentration of residual organics, as well as meta-parameters such as floc size and fractal dimension. Treating high turbidity clay suspensions at the optimal coagulant dosage (14.7 mg(DOC)/L) and flocculation mixing conditions ([Formula: see text]= 22.4 s⁻¹) removed > 94% of turbidity, similar to that recorded in reference tests with alum. Floc size distribution shifted to larger sizes during the first 10 min of flocculation with no change afterwards, while the floc fractal dimension, [Formula: see text], continued to increase, pointing to the gradual formation of denser ([Formula: see text]= 2.1 to 2.2), more settleable flocs. Preliminary tests with MS2 bacteriophage showed that coagulation with M. oleifera decreased the viable MS2 titre by ~ 1.3 log, which was significantly above the turbidity removal (~ 1 log). The extraction process, however, allowed a large amount of residual organics (> 78% of extracted DOC) into the treated water. Combining the coagulants with downstream filtration and adsorption, employing UV or solar disinfection, or limiting applications to non-potable reuse is suggested for mitigating the concerns related to residual DOC.