Abstract The concentrations of eight heavy metals (Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn) associated with PM2.5 and PM10 in Sarajevo air, Bosnia and Herzegovina (BiH) have been studied. A total of 136 PM2.5 and PM10 samples were simultaneously collected from 21 February to 11 November 2020. Metal contents were determined by atomic absorption spectrometry, flame (FAAS) and electrothermal (ETAAS) techniques. The mean concentrations of metals in PM10 are 2.93 ng/m3 (Cd), 7.21 ng/m3 (Cr), 12.02 ng/m3 (Cu), 126 ng/m3 (Fe), 20.74 ng/m3 (Mn), 6.98 ng/m3 (Ni), 8.74 ng/m3 (Pb) and 128 ng/m3 (Zn). In PM2.5 samples the mean concentrations of Cd, Cr, Cu, Fe, Mn, Ni and Zn are 0.39, 4.06, 2.26, 110, 0.63, 1.93 and 5.28 ng/m3, respectively. Pb was not detected in PM2.5 samples. Strong correlation was obtained for metal pairs Mn-Cu in PM10 and moderate for Ni-Fe in PM2.5. The health risk assessment shows that the adult population of Sarajevo is at increased lifetime risk of experiencing cancer because of exposure to Cd concentrations in PM10.

Pyrophyllite was investigated in this study as a potential adsorbent for the removal of glyphosate, a common herbicide for the control of a wide variety of weeds. There are several publications in the literature that discuss how glyphosate interacts with clay minerals such as montmorillonite, kaolinite, and bentonite, but there is no information regarding the possibility of glyphosate removal from aqueous solution using pyrophyllite. In this study, the adsorption of glyphosate from water samples onto pyrophyllite, a mineral clay from the Parsovici, Konjic mine, was investigated. The ninhydrin reaction was used to spectrophotometrically quantify glyphosate. At 570 nm, the purple Ruhemman product's absorbance was determined. Adsorption capacity (qe), removal efficiency (R), and the partition coefficient are used to express the results (Kd). The outcomes demonstrated that distinct ionic species of glyphosate at different pHs cause the adsorption of glyphosate on pyrophyllite to be pH-dependent. The findings demonstrated that during different contact times, the basic medium can remove up to 75% of glyphosate. According to results from fitting isotherm models, the Freundlich model is slightly better fitted. According to the results of kinetic investigations, the pseudo-2nd order model is more suitable for this kind of adsorption.

The Sarajevo Canton Winter Field Campaign 2018 (SAFICA) was a project that took place in winter 2017–2018 with an aim to characterize the chemical composition of aerosol in the Sarajevo Canton, Bosnia and Herzegovina (BiH), which has one of the worst air qualities in Europe. This paper presents the first characterization of the metals in PM10 (particulate matter aerodynamic diameters ≤10 μm) from continuous filter samples collected during an extended two-months winter period at the urban background Sarajevo and remote Ivan Sedlo sites. We report the results of 18 metals detected by inductively coupled plasma mass spectrometry (ICP-MS) and electrothermal atomic absorption spectrometry (ETAAS). The average mass concentrations of metals were higher at the Sarajevo site than at Ivan Sedlo and ranged from 0.050 ng/m3 (Co) to 188 ng/m3 (Fe) and from 0.021 ng/m3 (Co) to 61.8 ng/m3 (Fe), respectively. The BenMAP-CE model was used for estimating the annual BiH health (50% decrease in PM2.5 would save 4760+ lives) and economic benefits (costs of $2.29B) of improving the air quality. Additionally, the integrated energy and health assessment with the ExternE model provided an initial estimate of the additional health cost of BiH’s energy system.

Haskovic, E., Muhic-Sarac, T., Lukic, M., Marjanovic, M., Zero, S. & Islamagic, E. (2021). Determination of heavy metals in liver and skeletal muscles of pigs and calves: experience from Bosnia and Herzegovina. Bulg. J. Agric. Sci., 27 (3), 593–599 Certrain heavy metals, as trace elements, have a significant role in biochemical processes of living systems. However, when present in quantities exceeding those required for accomplishing their biological functions, they can have a toxic effect. Given that, meat and meat products have an important role in human diet the objectives of the present study was to estimate Cr, Cu, Mn, Fe, Ni, Cd, Pb and Zn concentrations in liver and muscle tissues of pigs and calves from Bosnia and Herzegovina; moreover to compare the obtained values in order to determine the potentially same pattern of heavy metals accumulation and contamination. After acid digestion,concentration of metals was determinated by atomic absorption spectrometry – flame technique (FAAS). Chromium and manganese levels in pig’s muscle tissue were higher compared to liver tissue concentration of analyzed metals, while zinc had higher content in calf’s muscle. Levels of copper and manganese were higher in calf’s hepatic tissue compared to muscle, and the same results for manganese, iron and zinc was obtained from analysis of pig’s tissues.

Abstract The aim of this study was to assess contamination and potential human health risks of heavy metals in street dust from the Federation of Bosnia and Herzegovina (FB&H). In total, 117 street dust samples were analyzed for Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn by flame atomic absorption spectrometry (FAAS). Health risk assessment was applied to determine potential health risks, non-carcinogenic and carcinogenic risks, in children and adults. According to mass concentrations of studied trace metals, the dust samples were arranged as the following diminishing series: industrial zone > high traffic streets > streets with moderate traffic > parking place > parks, school yards, sports facilities, medical facilities. Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn mean concentrations are 3.18, 33.17, 30.01, 3150, 236, 73.00, 52.49 and 81.72 mg/kg, respectively. In order to identify possible metals sources correlation analysis was applied. Strong correlations between Cd-Mn, Fe-Mn, Ni-Cr, and Cr-Fe were obtained, suggesting a common dependence or source of these metals in street dust in FB&H. Contributor that most impact the carcinogenic and non-carcinogenic risk is the ingestion route for both, children and adults, followed by the dermal and inhalation pathways. The risk assessment shows that the population of FB&H is at increased lifetime risk of experiencing cancer because of exposure to Cr and Pb concentrations in street dust of FB&H.

Abstract. In this paper we evaluate characteristics of three optical particulate matter sensors/sizers (OPS): high-end spectrometer 11-D (Grimm, Germany), low-cost sensor OPC-N2 (Alphasense, United Kingdom) and in-house developed MAQS (Mobile Air Quality System), which is based on another low-cost sensor – PMS5003 (Plantower, China), under realistic conditions of strong and mild urban pollution. Results were compared against a reference gravimetric system, based on a Gemini (Dadolab, Italy), 2.3 m3 h−1 air sampler, with two channels (simultaneously measuring PM2.5 and PM10 concentrations). The measurements were performed in Sarajevo, the capital of Bosnia-Herzegovina, from December 2019 until May 2020. This interval is divided into period 1 – strong pollution – and period 2 – mild pollution. The city of Sarajevo is one of the most polluted cities in Europe in terms of particulate matter: the average concentration of PM2.5 during the period 1 was 83 µg m−3, with daily average values exceeding 500 µg m−3. During period 2, the average concentration of PM2.5 was 20 µg m−3. These conditions represent a good opportunity to test optical devices against the reference instrument in a wide range of ambient particulate matter (PM) concentrations. The effect of an in-house developed diffusion dryer for 11-D is discussed as well. In order to analyse the mass distribution of particles, a scanning mobility particle sizer (SMPS), which together with the 11-D spectrometer gives the full spectrum from nanoparticles of diameter 10 nm to coarse particles of diameter 35 µm, was used. All tested devices showed excellent correlation with the reference instrument in period 1, with R2 values between 0.90 and 0.99 for daily average PM concentrations. However, in period 2, where the range of concentrations was much narrower, R2 values decreased significantly, to values from 0.28 to 0.92. We have also included results of a 13.5-month long-term comparison of our MAQS sensor with a nearby beta attenuation monitor (BAM) 1020 (Met One Instruments, USA) operated by the United States Environmental Protection Agency (US EPA), which showed similar correlation and no observable change in performance over time.

The present study was conducted to investigate the water quality of the Trstionica River, Bosnia and Herzegovina. The physicochemical properties (temperature, pH, conductivity, total solids after evaporation at 105 °C), content of metals (calcium (Ca), cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), magnesium (Mg), manganese (Mn), sodium (Na), nickel (Ni), lead (Pb) and zinc (Zn)), and anions (chloride (Cl−), and phosphate (PO4)) were determined in water samples collected at seven locations during two sampling periods: unstable weather conditions (precipitation), and stable weather conditions (without precipitation). There was a significant difference in the content of individual parameters in the river water depending on the sampling time. For determination of metals concentrations, which were below the limit of detection, a preconcentration method using an ion-exchange resin was applied. The metals concentrations during the rainy day were in the order Ca > Mg > Na > Fe > Cu > Zn > Pb > Mn with mean values of 343, 6.03, 1.94, 0.18, 0.20, 0.03, 0.02, 0.01 mg dm−3, respectively, and during stable weather conditions: Ca > Mg > Na > Cu > Fe > Mn > Zn with mean values of 288, 7.62, 2.38, 0.11, 0.10, 0.01, 0.01 mg dm−3, respectively. Cd, Cr, and Ni concentrations were below limit of detection in both cases. Obtained values were compared with World Health Organization (WHO) regulations. The results showed that the Trstionica River in the investigated part of the stream meets most of the parameters required by the regulations. The correlation between analysed parameters was assessed, as well. Based on the calculated water quality index values, the water of Trstionica River falls into the category of excellent water.