Water chlorination is the most widely used technique to avoid microbial contamination and biofouling. Adding chlorine to bromide-rich waters leads to the rapid oxidation of bromide ions and leads to the formation of brominated disinfection by-products (bromo-DBPs) that exert adverse effects on various biological models. Bromo-DBPs are regularly encountered within industrialized embayments, potentially impacting marine organisms. Of these, bromoform, tribromoacetic acid and tribromophenol are among the most prevalent. In the present study, we tested the potential toxicity and genotoxicity of these disinfection by-products, using sea urchin, Paracentrotus lividus, embryos. We highlighted that tribromophenol showed higher toxicity compared to bromoform and tribromoacetic acid. Furthermore, a synergistic effect was detected when tested in combination. Pluteus cells exposed for 1 h to mixtures of DBPs at several concentrations demonstrated significant DNA damage. Finally, when compared to a non-exposed population, sea urchins living in a bromo-DPB-polluted area produced more resistant progenies, as if they were locally adapted. This hypothesis remains to be tested in order to better understand the obvious impact of complex bromo-DBPs environments on marine wildlife.

The pyroligneous liquor is a product obtained during the production of charcoal, with well-known antimicrobial activity. In this work, we characterized the physical chemistry properties of a formulation composed of distilled pyroligneous liquor (DPL), obtained from Eucalyptus grandis, and chitosan. A good interaction between the polymer and the solvent was observed. Auto-supported films were prepared with these systems and characterized with respect to their structure and photo-protection properties, water vapor permeability, and resistance to water and to thermal degradation. They present a semi-crystalline structure and are hygroscopic, but are stable under immersion for up to 7 days. The swelling degree in water is 300% in weight and the permeability to water vapor was between 30 and 45 g m⁻¹ h⁻¹ (for films with 80 to 10 μm, respectively). The obtained films are able to efficiently block the incident UVB and UVC radiation; the molar absorptivity decreases exponentially with increasing wavelength and is stable up to 300 °C. These properties confer desirable properties to the films, obtained from these precursors of a renewable source, to be used as coatings.

Polychlorinated dibenzo-p-dioxin (PCDDs), polychlorinated dibenzofurans (PCDF), and dioxin-like polychlorinated biphenyl (dl-PCB) are groups of toxic compounds released into the environment as unintentional by-products of combustion. They persist, bioaccumulate through the food chain, and cause adverse health effects. This review attempts to collate available information on the release of PCDD/Fs and dl-PCBs and other critical data relevant to their monitoring in Africa during the existence of the Stockholm Convention (SC). Much as the implementation of the SC may be lagging, literature showed that there has been encouraging efforts that have been made with respect to PCDDs/Fs and dl-PCBs monitoring in Africa. Results from a global monitoring study showed that PCDD/Fs released to air in Africa stood at 18–532 fg WHO₉₈ TEQ/M³ while dl-PCBs were 7–278 fg WHO₉₈ TEQ/m³. In human milk, the total concentration of PCDD/Fs, i.e., WHO 2005 TEQ LB has been reported to range from 0.5 ng/g fat to 12 ng/g fat. Fourteen laboratories in Africa participated in inter-laboratory assessments of persistent organic pollutants (POPs) with two specifically for PCDD/Fs analysis. This shows that some efforts are being made to boost capacity in Africa. Levels of PCDDs/Fs and dl-PCBs in clay consumed by pregnant women have been reported in Cameroon, Democratic Republic of Congo (DRC), Nigeria, Zimbabwe, Ĉote d’Ivoire, and Uganda with a maximum concentration of 103 pg TEQ/g. This finding was very significant since women are the most impacted through exposure to POPs, a fact that is acknowledged by the SC.

The analyzed sediments were taken from the man-made reservoirs (Velka Richnava, Rozgrund and Vindsachta) located in an area intensively mined for polymetallic ores since the end of the eleventh century (Banska Stiavnica region, Central Europe). The aims of this study were to determine the radioactivity of natural (²²⁶Ra, ²²⁸Th, ²¹⁰Pb) and artificial (¹³⁷Cs and ²⁴¹Am) radionuclides, compare the radionuclides’ distribution, and indicate the correlation of radioisotopes and their origin related to sediment properties. Two analytical techniques were used. ²²⁸Th, ²²⁶Ra, ²⁴¹Am, and ¹³⁷Cs were measured by means of gamma spectrometry and ²¹⁰Pb was determined by its daughter radionuclide ²¹⁰Po using alpha spectrometry. The results showed that the highest mean level of ²²⁶Ra (42.6 Bq·kg⁻¹), ²²⁸Th (49.7 Bq·kg⁻¹) and ²¹⁰Pb (75.2 Bq·kg⁻¹) was in the sediments collected from Rozgrund. The radioactivity of ¹³⁷Cs and ²⁴¹Am were present at a higher level in the layer related to Chernobyl (1986) accident and nuclear weapon test (1950/1960). The distribution of natural radionuclides was quite similar in all reservoirs. Chemometric analysis confirmed the radionuclides’ origin and correlation between the analyzed parameters.

Neural network models have been used to predict chlorophyll-a concentration dynamics. However, as model generalization ability decreases, (i) the performance of the models gradually decreases over time; (ii) the accuracy and performance of the models need to be improved. In this study, Transfer learning (TL) is employed to optimize neural network models (including feedforward neural networks (FNN), recurrent neural networks (RNN) and long short-term memory (LTSM)) and overcome these problems. Models using TL are able to reduce the influence of mutable data distribution and enhance generalization ability. Thus, it can improve the accuracy of prediction and maintain high performance in long-term applications. Also, TL is compared with parameter norm penalties (PNP) and dropout—two other methods used to improve model generalization ability. In general, TL has a better prediction effect than PNP and dropout. All the models, including FNN with different architectures, RNN and LSTM, as well as models optimized by PNP, dropout, and TL, are applied to an estuary reservoir in eastern China to predict chlorophyll-a dynamics at 5-min intervals. According to the results of this study, (i) models with TL produce the best prediction results; (ii) the original models and the models with PNP and dropout lose their ability to predict within 3 months, while TL models retain a high prediction accuracy.

Metal pollution in urban soils due to smelting and electroplating has become a severe problem in China. In this study, the concentration, chemical fraction, and leaching behavior of typical metals (Cu, Zn, Cd, and Pb) in soil samples from ten metallurgical sites were studied. The results show that some of the soils were polluted with Cu and most were heavily polluted with multiple metals, especially Zn, Cd, and Pb. The average concentration of Cu, Zn, Cd, and Pb was 498, 4145, 89, and 5091 mg/kg, respectively. Chemical fractionation revealed that Cu, Zn, Cd, and Pb were mainly present in the acid-soluble fraction in polluted soils, but predominated in the residual fraction in unpolluted soils, demonstrating that allogenic metals in the soils were mostly present in the more labile fractions. Toxicity characteristic leaching procedure results were in agreement with the chemical fractionation study, indicating that the higher the total metal content, the higher the leachability, mobility, bioavailability, and potential toxicity to the environment, especially groundwater. Use of chemical fractionation results instead of total metal concentrations would provide better insight into the distribution and binding forms of metals for better assessment of their mobility and bioavailability. The study would provide much more important information for developing better remediation strategies for contaminated sites.

Information and communications technology (ICT) has developed economies and the way of energy consuming through the access, analysis, planning, and management of information. Such innovation, hence, explains the important direct effects on the environment and carbon dioxide (CO₂) emissions in a region or causes the spillover effects on other regions. This research examines the relationship between ICT and CO₂ emissions to have both within-region effects and spillover effects on other regions. In this way, ICT and the square of ICT were combined into the environmental Kuznets curve to specify the direct, spatial spillover, and total effects of ICT on CO₂ emissions. The dynamic spatial Durbin model was used to estimate the effects of ICT on the provinces of Iran for a period of 2001 to 2015. The results showed that the spatial spillover effects of ICT on CO₂ emissions have an inverted U-shaped relationship in short and long run. This findings show that an increase in the ICT in a province first causes to increase and then decrease the CO₂ emissions in other provinces.

Agricultural watersheds are a crucial contributor of terrestrial dissolved organic matter (DOM) for the adjacent aquatic environment. Recently, ecological engineering of the buffer zone such as a rice-paddy field was established to reduce the export of nutrients and contaminants from a small agricultural watershed. However, the potential of the rice-paddy field to reduce the terrestrial signature of DOM is unclear. Therefore, two small agricultural sub-catchments (i.e., sub-1 and sub-2) with different land uses and hill slope angles in the Three Gorges Reservoir (TGR) area of China were studied from 2014 to 2015. The results showed that the terrestrial DOM signals are indicated by optical indices (SUVA₂₅₄, SR, fluorescence index) in the steeper and more forest covered, but rice-paddy field buffered sub-catchment (i.e., sub-2) decreased significantly, as compared to the reference sub-catchment (i.e., sub-1). Regardless of seasonal variations, the rice-paddy field retained a buffering role to reduce the terrestrial property of DOM and the highest capacity was observed during the rice-growth period. However, during storm events, the differences of DOM properties for two sub-catchments were not significant, because the buffer system was weakened. Finally, environmental implications of the role of such a buffer zone in the TGR areas are discussed. These results demonstrate that rice-paddy fields are successful in mitigating the terrestrial property of exported DOM, but the weaker performance during storm events still needs to be considered.

Curcumin (Cur) effects on renal injury induced by zinc oxide nanoparticles (NZnO) in rats were investigated. NZnO at a dose of 50 mg/kg for 14 days was administered to rats as intoxicated group. In protection group, Cur at a dose of 200 mg/kg was administered for 7 days prior to NZnO treatment and followed by concomitant administration of NZnO for 14 days. Plasma concentrations of uric acid, creatinine (Cr), and blood urea nitrogen (BUN) were detected to evaluate renal injury. Malondialdehyde (MDA), superoxide dismutase (SOD), and glutathione peroxidase (GPx) levels were determined for evaluation oxidative stress. TUNEL staining and histological changes were also performed. Administration of NZnO caused a significant elevation in the uric acid, Cr, and BUN levels. Oxidative stress was increased in the kidney by NZnO through enhancing MDA contents and reducing activities of SOD and GPx enzymes. According to histological examinations, treatment with NZnO caused proximal tubule damages, which was accompanied by the accumulation of red blood cells, infiltration of inflammatory cells, and reducing glomerular diameters. Significant increase was observed in the apoptotic index of the renal tubules in NZnO-treated rats. In present work, pretreatment of Cur reduced the histological changes, decreased biomarker levels, attenuated apoptotic index, and ameliorated oxidative stress by decreasing the MDA contents and increasing the activities of SOD and GPx enzymes. These findings indicate that Cur effectively protects against NZnO-induced nephrotoxicity in the rats.

Highly porous biochar (BC) structures have been prepared from inexpensive biomasses like rice straw, bamboo, sugarcane waste, and corn cob via a slow pyrolysis technique in nitrogenous atmosphere. A surface engineering technique has been applied to enhance the surface-to-volume ratio of each biochar sample and finally compared its characteristics through standard surface and elemental characterization techniques, viz. CHN (carbon, hydrogen, and nitrogen), FTIR (Fourier transform infrared spectroscopy), BET (Brunauer–Emmett–Teller), and SEM (scanning electron microscopy). All the biochar samples were observed to be highly carbonized and aromatized. Exfoliated structures were found to contain more elemental carbon (34.14–77.32%) than its native form (30.92–74.46%). Aromatic hydrocarbon, aromatic C=C, aromatics, aliphatic C–O, aliphatic hydrocarbon, and H-bonded OH groups were found to predominate in the surface of biochar structures independent of their precursor composition and extent of exfoliation. SEM micrographic images clearly ensured about the unoriented sheets like the morphology of different biochar samples. Although no significant structural difference was found to exist depending on their precursor compositions, quantitative enhancement of porosity was found to be observed after exfoliation. Both native (240.65 m²/g) and exfoliated (712.89 m²/g) biochars derived from sugarcane wastes were observed to have a maximum surface area in comparison to the biochars derived from rice straw (native, 22.08 m²/g; exfoliated, 29.92 m²/g), bamboo (native, 42.08 m²/g; exfoliated, 248.38 m²/g), and corn cob (native, 136.62 m²/g; exfoliated, 221.71 m²/g). Exfoliated biochars were found to be consistently more potent in comparison to its native form as per our comparative characterizations performed so far.