Journal of Environmental Health Science and Engineering最新文献

The presence of bromate in water poses a significant health risk. In order to effectively eliminate bromate from water, this study synthesized a series of ternary Zn-Ni-Al layered double hydroxides with varying Zn/Ni/Al atomic ratios using a co-precipitation method. The adsorbents were characterized using various techniques including XRD, Fourier transform infrared spectroscopy, and N₂ adsorption-desorption isotherms. Among them, ZnNiAl-2 exhibited the highest crystallinity and largest specific surface area (316.1 m² g⁻¹), which was compared to the binary hydrotalcite NiAl-LDH for its ability to adsorb bromate from water. Results demonstrated that the adsorption isotherm of bromate on ZnNiAl-2 followed the Langmuir model, with a maximum adsorption capacity of 120.5 mg g⁻¹, significantly higher than that of NiAl at 75.5 mg g⁻¹, indicating strong adsorption capability and reusability performance. The adsorption kinetics were also found to be in accordance with the pseudo-second-order kinetic model. The mechanism involved both surface adsorption and anion exchange.

In the present study, two most commonly used Perfluoroalkyl substances (PFASs), namely perfluorooctanoic acid (PFOA) and perfluorooctanesulfonate (PFOS), were determined in 45 tap water samples from the city of Isfahan (Iran) by dispersive liquid-liquid extraction (DLLME) and liquid chromatography-mass spectrophotometry (LC-MS) analysis. Risk assessment was also performed to determine the risk to human health. The mean concentration of PFOA was 38.1 ± 26.4ng/L (min = 5.1 and max = 1056ng/L). The mean concentration of PFOS was 33.7 ± 25.09ng/L (min = 4.3 and max = 99.2ng/L). The combined concentrations of PFOA and PFOS were above the US-EPA advisory levels (70ng/L) in 48.8% of the samples. The distance between the sampling locations and the water treatment plant showed no significant correlation (p > 0.05). The results of the risk assessment showed that all calculated hazard quotients (HQ) and hazard indices (HI) are below 1, indicating that the risk to human health from exposure to PFOA and PFOS via drinking water in the city of Isfahan was not high for adults and children. These results indicate a significant contamination of Isfahan tap water by PFOA and PFOS of unknown origin. Further studies are needed on the Zayande-Roud River water as a supplier of Isfahan tap water and the efficiency of the water treatment plant and the role of the water distribution network in PFASs contamination of tap water.

Metformin, a widely used antidiabetic drug, has become a growing concern due to its persistence in the environment. It is one of the most frequently detected pharmaceuticals in wastewater and surface water because it is excreted largely unchanged by patients and is not fully removed in conventional wastewater treatment plants. The present study focuses on the synthesis and characterization of BaFe₂O₄/poly(1-naphthylamine) (PNA) nanohybrids and their application as microwave-active catalysts for the degradation of metformin. The nanohybrids were analyzed using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD) techniques. The IR studies presence of peaks associated with PNA and BaFe₂O₄ confirmed the formation of the nanohybrid. The XRD profile of PNA/BaFe₂O₄ nanohybrids did not exhibit any significant shift in the crystalline peaks corresponding to BaFe₂O₄ but some new peaks were observed in addition to the existing BaFe₂O₄ peaks, which were attributed to the presence of PNA. SEM studies established the mixed morphology. Metformin degradation was carried out under microwave irradiation for 18 min, and the effects of catalyst dosage and drug concentration were evaluated to confirm the catalytic performance of the PNA/BaFe₂O₄ system. A maximum degradation efficiency of 89% was achieved in 18 min using 5% PNA/BaFe₂O₄ as the catalyst. Additionally, a potential degradation mechanism was proposed.

Today, nanoplastics (NPs) are a growing environmental concern due to their persistence and widespread distribution, posing risks to ecosystems and human health. Their ability to transport pollutants makes them particularly dangerous, underscoring the urgent need for effective removal methods. Herein, we report the synthesis of an environmentally friendly material that enables the magnetic removal of polystyrene nanoparticles (PSNPs) from aqueous solutions by green chemistry approach. The material synthesized by using pine resin extract as a reducing and capping agent is iron oxide magnetic nanoparticles (PR@Fe₃O₄ MNPs). Spectroscopic (UV–Vis, FTIR) and microscopic (EFSEM, EDXS) techniques were used to characterize the nanoparticles and confirm the adsorption of PSNPs on the PR@Fe₃O₄ MNPs. X-ray diffraction (XRD) patterns indicated the crystalline nature of the nanoparticles and confirmed the preservation of the structure of PR@Fe₃O₄ MNPs after adsorption. The adsorption of PSNPs (with a diameter of 100 nm) was performed under varying conditions, including different contact times, dosages of PR@Fe₃O₄ MNPs, and concentrations of PSNPs. It was observed that the removal efficiencies of PSNPs (100 mg/L) ranged from 95.45% to 99.13% when the dosage of PR@Fe₃O₄ MNPs increased from 2.5 mg to 10.0 mg after 24 h, reaching the maximum adsorption capacity at 454.55 mg/g. Kinetic and isotherm studies indicated that the adsorption process fits best to a pseudo-second-order kinetic model and Langmuir isotherm, suggesting monolayer adsorption on homogeneous surfaces. Finally, the results of this study concluded that the green-synthesized PR@Fe₃O₄ MNPs can be used as effective and eco-friendly materials to remove PSNPs from aquatic environments.

Graphical abstract

Beauty salons are establishments that provide hair, face, and body treatments for consumers. In this research, type of bacteriological pollution and the associated bacteriological human health risks were evaluated using Monte Carlo Simulation. A cross-sectional study design was carried out in 50 randomly selected beauty salons in Ardabil, during April-June, 2022. Pseudomonas (74 ± 42 CFU/m³) was found frequently in almost all (98%) of the salons. Staphylococcus (9 ± 25 CFU/m³) and Escherichia coli (5 ± 13 CFU/m³) were found in 20%, and Acinetobacter (2 ± 7 CFU/m³) was found in 10% of the salons. Salons with makeup and hair dressing had higher concentrations of Staphylococcus. The concentrations of bacteria fairly decreased with relative humidity and increased with the temperature. Furthermore, higher concentrations of the bioaerosols were observed in larger salons and more crowded salons. There was no significant correlation between the type of heating system, building material of the walls, type of ventilation system, as well as bride’s makeup in the salons with concentration of the bioaerosols. The average annual infection risk of Escherichia coli 7.27 (10^− 4) per person per year (pppy), which was higher than the acceptable limit (10^–4 pppy) suggested by WHO. The results of health risk were above the safe limit of EPA and WHO, indicating possible adverse effects to exposed individuals.

This is the first systematic investigation of occupational exposure to toxic metals among waste recyclers in municipal waste recycling facilities. Concentrations of heavy metals (HMs) in the blood and urine of exposed recyclers in different jobs were compared to control groups (administrative department), identifying possible work-related and socio-demographic exposure factors. The potential relationship between HMs levels in PM_2.5 and HM concentrations in the blood and urine of recyclers was studied for ten elements. Mean concentrations of HMs of recyclers were significantly higher than for the control group. Over 50% of the waste recyclers had HM levels higher than the recommended limits. The study revealed that most of the waste recyclers engaged in a minimum of three tasks, posing a challenge in establishing a correlation between specific tasks and the levels of elements monitored through biomonitoring. Co levels in blood and Fe levels in the urine of waste recyclers have a significant relationship with the increase in daily working hours. Among the variables related to the participant’s demographic information, the level of education and monthly income were significantly different compared to the control group. Also, a significant correlation was found between HM levels in PM_2.5 personal exposure and recyclers’ urine and blood. Management controls include workflow or, in other words, alternate relocation of workers exposed to severe risks. Engineering controls such as ventilation systems, applying appropriate personal protective equipment (PPE), and risk management methods are the implementation cases to reduce exposure.

Graphical abstract

Purpose

China has experienced a heavy public health burden due to the increasing incidence of ischemic stroke (IS). Few studies have evaluated the relationship between particulate matter (PM) exposure and acute ischemic stroke (AIS) in relatively less-polluted areas, and the results have been inconsistent. As a result, this study aimed to investigate and evaluate the association between PM exposure and hospitalizations for AIS in an area with less air pollution.

Methods

Through collecting daily AIS hospitalizations, air pollution data and meteorological data from July 1, 2017 to June 30, 2020 in Nanning, this paper explored the association between short-term exposure to PM (PM_2.5, PM₁₀ and PM_c) and daily hospital admissions for AIS using a distributed lag non-linear model based on time-series. To further identify the susceptible populations, stratified analyses were performed by age and gender.

Results

During the study period, a total of 2382 patients were admitted to hospital with AIS, with the ratio of male to female reached 2.03: 1. No statistical association was found between PM exposure and AIS admissions in the total population. Subgroup analysis showed that PM_2.5, PM₁₀ and PM_c exposures were significantly associated with AIS admissions in male at lag29-lag30, lag27-lag30 and lag25-lag27, respectively. In addition, PM_c exposure was also relevant to admissions for AIS with aged < 65 years at lag18-lag23.

Conclusions

Short-term exposure to ambient PM was not associated with hospital admissions for AIS in the general population, but males and young adults (aged < 65 years) were more susceptible to PM exposure. Even in areas with relatively low air pollution, appropriate measures should be adopted to intervene in the adverse effects of air pollution on vulnerable populations.

Cooking food at high temperatures can lead to the formation of harmful chemical compounds called polycyclic aromatic hydrocarbons (PAHs). The purpose of this study was to conduct a systematic review and meta-analysis to evaluate the concentrations of 16 PAHs in cooked fish using roasting, barbecuing, or grilling techniques. The Monte Carlo simulation method was employed to accurately assess and quantify the uncertainties associated with risk estimation. This study compiled data on PAH levels in cooked fish using gas or charcoal from 57 original published articles in the PubMed, Science Direct, Scopus, Google Scholar, and Web of Science databases between January 1, 2010 to December 30, 2023. The investigation showed that 55.1% of cooked fish was made by grilling, 35.1% by barbecuing, and 9.8% by roasting. Based on the 95th percentile Hazard Quotient (HQ) from fish consumption, the ranking of 8 PAHs was as follows: Benzo[a]pyrene (BaP = 14.10) > Pyrene (Pyr = 0.29) > Fluorene (Flu = 0.23) > Naphthalene (Nap = 0.22) > Fluoranthene (Flrt = 0.12) > Acenaphthene (Ace = 0.11) > Acenaphthylene (Acy = 0.04) > Anthracene (Anth = 0.02). However, the non-carcinogenic risk ratio for other PAH compounds in fish consumption, excluding BaP, was found to be less than one (HQ < 1). The 95th percentile lifetime excess cancer risk (LTCR) values for 8 PAH compounds (BaP (4.35E^− 9) > Anth (6.10E^− 11) > Flrt (9.35E^− 12) > Pyr (7.04E^− 12) > Ace (6.56E^− 12) > Flu (4.97E^− 12) > Nap (4.39E^− 12) > Acy (2.57E^− 12)) from fish consumption were negligible and can be disregarded (LTCR < 10^− 6). Based on the analysis of the findings, it can be concluded that the consumption of cooked fish using various methods worldwide does not present a carcinogenic risk linked to PAHs.

Microplastic pollution poses a significant threat to our environment, necessitating effective predictive modelling approaches for better management and mitigation. In this study, we introduce a pioneering methodology that fuses the power of Artificial Neural Networks (ANN) and Hidden Markov Models (HMM) for microplastic predictive modelling. Leveraging a comprehensive dataset, our integrated model exhibits exceptional performance, with an Accuracy of 0.96, Precision of 0.96, Recall of 0.97, and an F1 Score of 0.96. The achieved Accuracy underscores the model’s proficiency in distinguishing microplastic and non-microplastic entities, promising robust and reliable predictions. Precision, as a measure of correct positive identifications, demonstrates our model's effectiveness in minimizing false positives, a crucial aspect for environmental monitoring. Moreover, the perfect Recall score signifies the model's ability to detect all relevant microplastic instances, addressing concerns about false negatives. The F1 Score encapsulates this dual proficiency, showcasing a harmonious trade-off between precision and recall. Our research not only advances the field of microplastic prediction but also highlights the potential of synergizing ANN and HMM methodologies for comprehensive environmental assessments. The reported performance metrics underscore the practical applicability of our approach, offering a valuable tool for tackling the pervasive issue of microplastic pollution and fostering proactive environmental stewardship.