@article{MTMT:34005954, title = {Temporal evolution of PM2.5, PM10, and total suspended particles (TSP) in the Ciuc basin (Transylvania) with specific microclimate condition from 2010 to 2019}, url = {https://m2.mtmt.hu/api/publication/34005954}, author = {Bodor, Katalin and Szép, Róbert and Keresztesi, Ágnes and Bodor, Zsolt}, doi = {10.1007/s10661-023-11407-2}, journal-iso = {ENVIRON MONIT ASSESS}, journal = {ENVIRONMENTAL MONITORING AND ASSESSMENT}, volume = {195}, unique-id = {34005954}, issn = {0167-6369}, abstract = {Modern societies are characterized by increased air pollution, and particulate matter (PM) is one of the most significant air pollutants and is a major environmental health problem. Therefore, long- and short-term exposure via inhalation, ingestion, and dermal absorption of particulate matter may cause series health issues, such as cardio pulmonary and lung cancer disease. Air pollutants accumulation is significantly higher in closed regions or basins characterized by strong thermal inversions, especially during the cold period such in case of the Ciuc basin. The aim of this study was to carry out the time series analysis of PM 2.5 , PM 10 and TSP in the Ciuc basin for the period 2010–2019, in order to decipher the main characteristics of air pollution in this region.}, year = {2023}, eissn = {1573-2959}, orcid-numbers = {Keresztesi, Ágnes/0000-0002-6074-7427} } @article{MTMT:33961212, title = {Quantification of insecticides in commercial seafood sold in East Asian markets: risk assessment for consumers}, url = {https://m2.mtmt.hu/api/publication/33961212}, author = {Ivorra, Lucia and Cardoso, Patricia G. and Chan, Shek Kiu and Cruzeiro, Catarina and Tagulao, Karen}, doi = {10.1007/s11356-022-24413-7}, journal-iso = {ENVIRON SCI POLLUT R}, journal = {ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH}, volume = {30}, unique-id = {33961212}, issn = {0944-1344}, abstract = {The extraction of 21 insecticides and 5 metabolites was performed using an optimized and validated QuEChERS protocol that was further used for the quantification (GC-MS/MS) in several seafood matrices (crustaceans, bivalves, and fish-mudskippers). Seven species, acquired from Hong Kong and Macao wet markets ( a region so far poorly monitored), were selected based on their commercial importance in the Indo-Pacific region, market abundance, and affordable price. Among them, mussels from Hong Kong, together with mudskippers from Macao, presented the highest insecticide concentrations (median values of 30.33 and 23.90 ng/g WW, respectively). Residual levels of fenobucarb, DDTs, HCHs, and heptachlors were above the established threshold (10 ng/g WW) for human consumption according to the European and Chinese legislations: for example, in fish-mudskippers, DDTs, fenobucarb, and heptachlors (5-, 20- and tenfold, respectively), and in bivalves, HCHs (fourfold) had higher levels than the threshold. Risk assessment revealed potential human health effects ( e.g., neurotoxicity), especially through fish and bivalve consumption (non- carcinogenic risk; Sigma HQ(LT) > 1), and a potential concern of lifetime cancer risk development through the consumption of fish, bivalves, and crustaceans collected from these markets ( carcinogenic risk; Sigma TCR > 10(-4)). Since these results indicate polluted regions, where the seafood is collected/produced, a strict monitoring framework should be implemented in those areas to improve food quality and safety of seafood products.}, keywords = {ORGANOCHLORINE PESTICIDES; Crustaceans; health risk assessment; Bivalves; Mudskippers}, year = {2023}, eissn = {1614-7499}, pages = {34585-34597}, orcid-numbers = {Tagulao, Karen/0000-0002-9013-0233} } @article{MTMT:34331276, title = {Seasonal Variation and Source Identification of PM10 in an Industrialized City}, url = {https://m2.mtmt.hu/api/publication/34331276}, author = {Khobragade, Pallavi Pradeep and Ahirwar, Ajay Vikram}, doi = {10.1002/masy.202100217}, journal-iso = {MACROMOL SYMP}, journal = {MACROMOLECULAR SYMPOSIA}, volume = {410}, unique-id = {34331276}, issn = {1022-1360}, abstract = {A 1-year PM10 sampling campaign from January 2019 to December 2019 is conducted in an urban industrial area Raipur, India. For the development of effective pollution control strategies, quantitative assessment of potentially toxic metals and accurate identification of pollutant sources are essential. The annual average PM10 aerosol mass concentration during the study period is recorded as 187.89 & PLUSMN; 91 & mu;g m(-3). PM10 concentrations are found to vary with meteorological parameters such as wind speed, temperature, rainfall, and humidity. Heavy metals including Fe, Mn, Ni, Pb, Zn, Al, Ba, Cr, Sr, Ga, Mg, and V are studied using atomic absorption spectroscopy (AAS). Seasonally, average winter time PM10 concentration (234.86 & PLUSMN; 104.3 & mu;g m(-3)) is accounted higher as compared to summer (169.02 & PLUSMN; 27.1 & mu;g m(-3)) and rainy season (106.28 & PLUSMN; 32.6 & mu;g m(-3)) during the study period. The aerosol sources identified by positive matrix factorization (PMF) model are: iron and steel production (34.7%), vehicular emissions (29.3%), road dust (14.6%), heavy oil/petroleum (14.6%), and coal combustion (6.9%). Among these sources, iron and steel production contributes maximum in PM10 concentrations. The probable source locations are recognized through concentration weighted trajectory (CWT) analysis. The AirQ+ model is used to assess the health effects of regional PM10 concentrations.}, keywords = {Heavy metals; PM10; Source apportionment; HYSPLIT model; Back-trajectory analysis}, year = {2023}, eissn = {1521-3900} } @article{MTMT:32301638, title = {Human health impact assessment and temporal distribution of trace elements in Copsa Mic- Romania (vol 11, 7049, 2021)}, url = {https://m2.mtmt.hu/api/publication/32301638}, author = {Bodor, Katalin and Bodor, Zsolt and Szep, Alexandru and Szép, Róbert}, doi = {10.1038/s41598-021-93460-w}, journal-iso = {SCI REP}, journal = {SCIENTIFIC REPORTS}, volume = {11}, unique-id = {32301638}, issn = {2045-2322}, year = {2021}, eissn = {2045-2322} }