Journal of Environmental Health Science and Engineering最新文献

Purpose

The use of nanomaterials like quantum dots (QDs) with optical properties has increased in the last decade because of their electronics, medicine, and environmental applications. The lack of recycling and appropriate disposal causes these materials to be considered new emerging contaminants. In this research, the extraction and translocation (phytoextraction) of cadmium as QDs by Ocimum basilicum “basil” in the presence of EDTA (chelating agent) was studied. For edible plants are essential to know where the contaminants are located to minimize human consumption.

Methods

In this work, the phytoextraction, distribution, and translocation of cadmium (under ionic solution-CdIS and CdS/Te QDs) at 25 and 50 mg/kg-soil and in the presence of 1,000 mg/kg-soil EDTA was studied in O. basilicum (a commercialized culinary herb) for three and six weeks. Basil seedlings were grown in an environmentally controlled chamber at 24-28^o C and 12/12 hours periods of light and darkness.

Results

The highest cadmium concentration was found in the roots from where it is translocated to stems and leaves. CdS/Te QDs at low concentration (25 mg/kg and 3 weeks of exposure) had the highest translocation factor, indicating that cadmium’s nanocrystal (QDs) forms can affect the phytoextraction mechanism. The highest bioconcentration of cadmium was reached at a high contaminant concentration.

Conclusion

The bioconcentration factors confirm that O. basilicum phytoextracts cadmium from soils contaminated with CdS/Te QDs and CdIS. The bioconcentration factors of cadmium (under both species CdS/Te QDs and CdIS) increase in the presence of EDTA. The bioconcentration and translocation factors suggest that consuming “basil” from contaminated soils with CdS/Te QDs at low concentrations increases the exposition to this metal.

Water is an essential compound on earth and necessary for life. The presence of highly toxic contaminants such as arsenic and others, in many cases, represents one of the biggest problems facing the earth´s population. Treatment of contaminated water with magnetite (Fe₃O₄) nanoparticles (NPs) can play a crucial role in arsenic removal. In this report, we demonstrate arsenic removal from an aqueous solution and natural water taken from the Peruvian river (Tambo River in Arequipa, Peru) using magnetite NPs synthesized by the coprecipitation method. XRD data analysis of Fe₃O₄ NPs revealed the formation of the cubic-spinel phase of magnetite with an average crystallite size of ~ 13 nm, which is found in good agreement with the physical size assessed from TEM image analysis. Magnetic results evidence that our NPs show a superparamagnetic-like behavior with a thermal relaxation of magnetic moments mediated by strong particle-particle interactions. FTIR absorption band shows the interactions between arsenate anions and Fe-O and Fe-OH groups through a complex mechanism. The experimental results showed that arsenic adsorption is fast during the first 10 min; while the equilibrium is reached within 60 min, providing an arsenic removal efficiency of ~ 97%. Adsorption kinetics is well modeled using the pseudo-second-order kinetic equation, suggesting that the adsorption process is related to the chemisorption model. According to Langmuir’s model, the maximum arsenic adsorption capacity of 81.04 mg·g^− 1 at pH = 2.5 was estimated, which describes the adsorption process as being monolayer, However, our results suggest that multilayer adsorption can be produced after monolayer saturation in agreement with the Freundlich model. This finding was corroborated by the Sips model, which showed a good correlation to the experimental data. Tests using natural water taken from Tambo River indicate a significant reduction of arsenic concentration from 356 µg L^− 1 to 7.38 µg L^− 1, the latter is below the limit imposed by World Health Organization (10 µg L^− 1), suggesting that magnetite NPs show great potential for the arsenic removal.

Purpose

This study aims to investigate the prospective associations of neighborhood environmental exposure trajectories with asthma symptom trajectories during childhood developmental stages.

Methods

We considered asthma symptom, neighborhood environmental factors, and socio-demographic data from the “Longitudinal Study of Australian Children (LSAC)”. Group-based trajectory modeling was applied to identify the trajectories of asthma symptom, neighborhood traffic conditions, and neighborhood livability scales (considered for safety and facilities). We used multivariable logistic regression models to assess associations between various neighborhood environmental factors and asthma symptom trajectories.

Results

We included 4,174 children from the LSAC cohort in our study. Three distinct trajectories for asthma symptom were the outcome variables of this study. Among the neighborhood environmental factors, we identified two distinct trajectories for the prevalence of heavy traffic on street, and two trajectories of neighborhood liveability scale. Compared to the ‘Low/no’ asthma symptoms trajectory group, children exposed to a ‘persistently high’ prevalence of heavy traffic on street was also significantly associated with both ‘transient high’ [relative risk ratio (RRR):1.40, 95% CI:1.25,1.58) and ‘persistent high’ (RRR: 1.33, 95% CI:1.17,1.50)] asthma symptom trajectory groups. Trajectory of moderate and static neighborhood liveability score was at increased risk of being classified as ‘transient high’ (RRR:1.16, 95% CI:1.07,1.25) and ‘persistent high’ (RRR:1.38, 95% CI:1.27,1.50) trajectories of asthma symptom.

Conclusion

Exposure to heavy traffic and poor neighborhood liveability increased the risk of having an unfavourable asthma symptom trajectory in childhood. Reducing neighborhood traffic load and improving neighborhood safety and amenities may facilitate a favorable asthma symptom trajectory among these children.

In this review, several adsorbents were studied for the elimination of heavy metal ions from multi-component wastewaters. These utilized sorbents are mineral materials, microbes, waste materials, and polymers. It was attempted to probe the structure and chemistry characteristics such as surface morphology, main functional groups, participated elements, surface area, and the adsorbent charges by SEM, FTIR, EDX, and BET tests. The uptake efficiency for metal ions, reusability studies, isotherm models, and kinetic relations for recognizing the adsorbent potentials. Besides, the influential factors such as acidity, initial concentration, time, and heat degree were investigated for selecting the optimum operating conditions in each of the adsorbents. According to the results, polymers especially chitosan, have displayed a higher adsorption capacity relative to the other common adsorbents owing to the excellent surface area and more functional groups such as amine, hydroxyl, and carboxyl species. The high surface area generates the possible active sites for trapping the particles, and the more effective functional groups can complex more metal ions from the polluted water. Also, it was observed that the uptake capacity of each metal ion in the multi-component solutions was different because the ionic radii of each metal ion were different, which influence the competition of metal ions for filling the active sites. Finally, the reusability of the polymers was suitable, because they can use several cycles which proves the economic aspect of the polymers as the adsorbent.

Biological wastewater treatment is mostly used in many industries to treat industrial influents. Treated water is consisting of an extremely high concentration of pathogenic microorganisms. Present work demonstrate the treatment of biologically treated sugar industry wastewater (BTSWW) using a low-frequency ultrasound (US). BTWSS consists of Enterobacter, Salmonella, and Escherichia Coli with a total coliform concentration of 2500 ± 300 CFU/mL. Experiments were performed using the individual effect of US, H₂O_2, and O₃ and the combined effect of US with H₂O₂, O_3, and H₂O₂ + O₃. The complete removal of total coliform was obtained for the synergy effect of US with H₂O₂ and O₃. The performance of the process was analyzed based on pseudo-first-order kinetic rate constant and synergy coefficient. The pseudo-first-order kinetic rate constant was 21.6 and 22.3 × 10^–2 min⁻¹ with a synergy coefficient of 2 and 1.9 for a combined effect of US with H₂O₂ and O₃, respectively. Another advantage of the synergy of US and O₃ was lower requirement of the initial dose of H₂O₂ (2.1 mM/L). The operational cost of the process was found to be $ 1.5 × 10^–2 /MLD.

Graphical abstract

In this study, the ZnO/Fe₃O₄ catalyst was used as an active catalyst for the oxidation of Paraquat (PQ) herbicide in aqueous solution under ultrasonic (US) waves. FTIR, XRD, FE-SEM, and VSM analyses were performed to characterize the synthesized catalyst. Studies on the effect of radical scavengers were also carried out and the amount of organic matter degradation was determined by measuring the TOC. Under the optimized conditions (catalyst concentration = 0.75 g/L, herbicide concentration = 10 ppm, US power = 70w), the degradation and mineralization rates of the herbicide were acquired as 96.1% and 68% within 60 min, respectively. The quenching tests showed that the hydroxyl (oOH) radical was the most effective oxidant agent in the degradation process of the PQ under ZnO/Fe₃O₄/US system. The toxicity of treated effluent assayed by Daphnia Magna was decreased from %73.16 in raw samples to %7.2 in the treated samples, during 96 h. Finally, it can be concluded that ZnO/Fe₃O₄/US process can be successfully performed as an effective process to herbicides in aqueous solutions, due to the high efficiency and excellent catalytic activity.

Approximately 91% of the world’s population lives in an air-polluted environment, and environmental pollution has become a widespread concern. Urban indoor and outdoor air pollution has been fully researched and effective control measures have been proposed. However, the issue of air pollution in rural areas has not been explored in depth. Compared to urban air pollution, the rural air pollution problem is more complex and urgent. Due to climatic factors and economic conditions in rural Northeast China, most households use solid fuels such as biomass straw and coal as domestic energy during the heating period, which will cause serious pollution problems of Total Suspended Particulate (TSP) and Polycyclic Aromatic Hydrocarbons (PAHs). To investigate the pollution characteristics of PAHs in indoor and outdoor TSP in rural Northeast China during the heating and non-heating periods, a medium-sized particulate matter collector 1108A was used to collect TSP for 7 days, and GC-MS was used to detect PAHs. The results showed that indoor TSP and PAHs pollution levels were the highest during the heating period. PAHs source analysis by Diagnostic Ratio (DR) and Principal Component Analysis (PCA) indicated that the main sources were biomass and coal combustion, vehicle emissions, and domestic waste incineration. According to the results of carcinogenic risk model calculations, there is a potential carcinogenic risk to the population in the Northeast rural living area. This study reflects the pollution characteristics and sources of indoor and outdoor TSP and PAHs in rural Northeast China during heating and non-heating periods, and provides a reference for further prevention and control of air pollution in rural areas, which is conducive to improving the living environment and improving human health.

Abstract

Studies reporting the performance of anaerobic sequencing batch reactor (AnSBR) operating with high organic loadings are scarce. This study aimed to contribute to the technical and scientific literature by reporting the experience obtained when biodiesel wastewater was treated in an AnSBR applying organic loading rates (OLR) above those commonly used in batch reactor projects. For this, physicochemical and chromatographic analysis of the effluent were carried out. Further, the biomass was assessed chemically and morphologically, along with bacterial diversity characteristics. Supported by these analyses, the system performance was discussed in terms of COD remotion efficiency and buffering capacity. The AnSBR reached 10% of COD removal at the steady-state, which caused the biomass defragmentation and facilitated washout. This suggests that the startup and operation of AnSBR under optimized conditions with an average applied OLR of 11.3 g_COD L⁻¹ d⁻¹ worked as a pressure for the microbiota selection, stimulating the production of total volatile acids, which promoted system reduction efficiency and souring. In this context, food/microorganism ratios above 1.0 g_COD g_TVS⁻¹ d⁻¹ can favor acidogenic activity, and total volatile acids/bicarbonate alkalinity concentration ratios above 1.9 may indicate acidification. The addition of support material for immobilizing/increasing biomass retention and/or operation under two-stage may be interesting alternatives for increasing AnSBR efficiencies under high OLRs.

Graphical abstract