Dissecting a human cadaver is an irreplaceable practice in general training of medical students. Cadavers in anatomy laboratories are usually preserved in formalin, an embalming fluid whose basic component is formaldehyde (FA). The aim of this study is to assess the cancer risk of employees and students that are exposed to FA based on the results of three monitoring campaigns, as well as to suggest permanent solutions to the problem of FA exposure based on the results obtained. Three sampling campaigns of formaldehyde concentration in indoor environments were conducted at five different locations at the Anatomy Department of the Faculty of Medicine with the purpose of assessing permanent employees’ and medical faculty first year students’ exposure to FA. Indoor air was continuously sampled during 8 h of laboratory work and analyzed in accordance with the NIOSH Method 3500. Exceeding of the 8 h time-weighted average (8 h TWA) values recommended by Occupational Safety and Health Administration (OSHA) of 0.75 ppm was recorded in 37% of the samples during the three-month monitoring campaign. Cancer risk assessment levels for permanent employees were in the range from 6.43 × 10⁻³ to 8.77 × 10⁻⁴, while the cancer risk assessment levels for students ranged from 8.94 × 10⁻⁷ to 1.83 × 10⁻⁶. The results of the research show that cancer risk assessment for employees is several thousand times higher than the limit recommended by the EPA (10⁻⁶) and point to the importance of reducing exposure to formaldehyde through the reconstruction of the existing ventilation system, continual monitoring, the use of formaldehyde-free products, and plastination of anatomical specimens.

The experimental investigation presented in this research was performed in order to examine the possibility of the removal of SO₂ from flue gases by cleaning with a solution of lime suspension and formic acid (Ca(OH)₂ and HCOOH). Research was conducted in a laboratory plant (rotary kiln) of 44 kW. The mass of the lime suspension (LS) was 400 g. The mass of the LS was homogenized (mixed) in a sample cup with 2 g (0.5%), 4 g (1%) and 8 g (2%) of 60% formic acid. The solution was placed in a gas washing bottle, where a partial flow of flue gas generated by the combustion of diesel fuel was injected. Simultaneously with the diesel fuel combustion, SO₂ from a bottle was injected in a rotary kiln. The average mass concentration of SO₂ in the flue gas at the entry point of the gas washing bottle was around 2900 ppm. The results indicated that the absorption of SO₂ by the cleaning of flue gas with LS was 96.83%. Adding formic acid to the LS in mass ratios of 0.5% (2 g), 1% (4 g) and 2% (8 g) resulted in absorptions of 99.25%, 98.77% and 98%, respectively. The absorption of flue gases in the gas washing bottle with LS, with the addition of formic acid in the mentioned ratios, showed a reduction in sulfates and pH value, and a rise in sulfides and calcium, respectively.

Research results define basis for specific monitoring programs of groundwater quality in wetland eco-systems in Serbia and Croatia. The main purpose of the research was to determine the impact of nonpoint diffuse source pollution on the groundwater quality, as well as seasonal variations on the concentration levels of selected physicochemical parameters. Statistical analyses, PCA, HCA, ANOVA and t-test, encompass 18 monitored parameters in groundwater. Statistical data indicated that protected area in Serbia has a significantly higher load of pollution from agricultural activities compared to Wetlands Tompojevci. The highest load in groundwater was detected from total nitrogen, ammonia and nitrogen anions, indicating contamination of groundwater by nitrogen-based fertilizers. The results obtained within the two-year seasonal monitoring program, from 2018 to 2020, are highly essential for achieving a comprehensive database that could be used as platform for highquality groundwater management in selected protected areas with the aim of minimizing environmental pollution.

Experiencing rapid development and growth, cities worldwide face a surge in air pollution, primarily driven by the increased concentrations of the particulate matter (PM) originating from various anthropogenic sources, such as traffic, household fuel combustion, and industrial and construction activities. Urban green spaces can naturally filter PM through physicochemical processes, serving as effective urban planning instruments for the improvement of the air quality. Focusing on a street in Novi Sad, the second-largest city in Serbia, this study investigates the efficiency of vegetation in mitigating air pollution, specifically PM10 emissions from traffic and construction activities. Using the contemporary monitoring and modelling techniques for measuring and predicting PM10 concentrations, the focus of this research is to evaluate the efficacy of vegetation in affecting and minimizing detected PM concentrations. The results indicate a significant reduction in the monitored PM10 concentrations behind the green barrier compared to the modelled concentrations near the pollution source (on the road) for both traffic and construction-related emissions. The paper highlights the capacity of green elements to act as natural air pollution mitigators and suggests better integration of strategic environmental management into urban planning to foster the development of healthier and more sustainable cities, providing recommendations to facilitate this objective.

Airborne particulate matter, particularly PM10 represents a significant environmental and occupational health concern on construction sites. The research explores how different construction materials effects PM10 generation during handling activities. In the absence of field measurements, a simulation-based approach was applied using emission factors defined by authoritative sources, including the EMEP/EEA Guidebook and USEPA AP-42 methodology. Seven widely used materials were selected to represent diverse physical properties and usage profiles: Portland cement, gypsum board, sand, aerated concrete blocks, clay bricks, polystyrene insulation, and gravel. For each material, multiple simulations were performed under controlled assumptions, incorporating realistic background PM10 levels to replicate urban construction site conditions. A PM10 Emission Index was defined to normalize emission potential per unit mass of material handled. Results indicate that fine, low-density materials such as Portland cement and gypsum board exhibit the highest emission intensities, while coarse, dense materials such as gravel and clay bricks contribute significantly less to airborne particulate concentrations. The findings highlight the substantial variability in emission potential across materials and emphasize the importance of material selection in sustainable construction planning. These insights can guide policymakers and construction professionals in adopting low-emission materials and better on-site dust control strategies.