Submitted:
12 November 2024
Posted:
13 November 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Study Site
3. Methodology
3.1. Water Column Parameters
3.2. Sediment Parameters
3.3. Estrogenic Activity (YES Assay)
3.4. Statistical Analyzes
4. Results
4.1. Water
4.2. Sediment
4.3. Estrogenic Activity by the YES Assay
4.4. Statistical Analysis
5. Conclusions and Future Perspectives
Data Availability Statement
Conflicts of Interest Statement
References
- Jackson, J.; Sutton, R. Sources of endocrine-disrupting chemicals in urban wastewater, Oakland, C. A. Science of the Total Environment 2008, 405, 153–160. [Google Scholar] [CrossRef] [PubMed]
- Flint, S. Bisphenol A exposure, effects, and policy: A wildlife perspective. Journal of Environmental Management 2012, 104, 19–34. [Google Scholar] [CrossRef] [PubMed]
- Céspedes, R.; Lacorte, S.; Raldúa, D.; Ginebreda, A.; Barceló, D.; Piña, B. Distribution of endocrine disruptors in the Llobregat River basin (Catalonia, NE Spain). Chemosphere 2005, 61, 1710–1719. [Google Scholar] [CrossRef] [PubMed]
- Pojana, G.; Gomiero, A.; Jonkers, N.; Marcomini, A. Natural and synthetic endocrine disrupting compounds (EDCs) in water, sediment and biota of a coastal lagoon. Environment International 2007, 33, 929–936. [Google Scholar] [CrossRef]
- Zoeller, R.T.; Brown, T.R.; Doan, L.L.; Gore, A.C.; Skakkebaek, N.E.; Soto, A.M.; Woodruff, T.J.; Vom Saal, F.S. Endocrine-Disrupting Chemicals and Public Health Protection: A Statement of Principles from The Endocrine Society. Endocrinology 2012, 153, 4097–4110. [Google Scholar] [CrossRef]
- Sharma, A.; Mollier, J.; Brocklesby, R.W.K.; Caves, C.; Jayasena, C.N.; Minhas, S. Endocrine disrupting chemicals and male reproductive health. Reproductive Medicine and Biology 2020, 19, 243–253. [Google Scholar] [CrossRef]
- Kidd, K.; Blanchfield, P.J.; Mills, K.H.; Palace, V.P.; Evans, R.E.; Lazorchak, J.M.; Flick, R.W. Collapse of a Fish Population After Exposure to a Synthetic Estrogen. Proceedings of the National Academy of Sciences of the United States of America 2007, 104, 8897–901. [Google Scholar] [CrossRef]
- Zou, E. Impacts of Xenobiotics on Crustacean Molting: The Invisible Endocrine Disruption. Integrative and Comparative Biology 2005, 45, 33–38. [Google Scholar] [CrossRef]
- Margiotta-Casaluci, L.; Owen, S.F.; Cumming, R.I.; de Polo, A.; Winter, M.J.; Panter, G.H.; Rand-Weaver, M.; Sumpter, J.P. Quantitative cross-species extrapolation between humans and fish: the case of the anti-depressant fluoxetine. PLoS One 2014, 9, e110467. [Google Scholar] [CrossRef]
- Yılmaz, H.; Karakuş, G.; Tamam, L.; Demirkol, M.E.; Namlı, Z.; Yeşiloğlu, C. Association of Orthorexic Tendencies with Obsessive-Compulsive Symptoms, Eating Attitudes and Exercise. Neuropsychiatric Disease and Treatment 2020, 14, 3035–3044. [Google Scholar] [CrossRef]
- Encarnação, T.; Pais, A.A.; Campos, M.G.; Burrows, H.D. Endocrine disrupting chemicals: Impact on human health, wildlife and the environment. Science Progress 2019, 102, 3–42. [Google Scholar] [CrossRef] [PubMed]
- Moiseenko, T.I. Surface Water under Growing Anthropogenic Loads: From Global Perspectives to Regional Implications. Water 2022, 14, 3730. [Google Scholar] [CrossRef]
- Pironti, C.; Ricciardi, M.; Proto, A.; Bianco, P.M.; Montano, L.; Motta, O. Endocrine-Disrupting Compounds: An Overview on Their Occurrence in the Aquatic Environment and Human Exposure. Water 2021, 13, 1347. [Google Scholar] [CrossRef]
- Pal, A.; He, Y.; Jekel, M.; Reinhard, M.; Gin, K.Y. Emerging contaminants of public health significance as water quality indicator compounds in the urban water cycle. Environment International 2014, 71, 46–62. [Google Scholar] [CrossRef] [PubMed]
- Zhang TXiao, Y.; Liang, D.; Tang, H.; Yuan, S.; Luan, B. Rainfall Runoff and Dissolved Pollutant Transport Processes Over Idealized Urban Catchments. Frontiers in Earth Science 2020, 8. [Google Scholar] [CrossRef]
- Taner, M.; Üstün, B.; Erdinçler, A. A simple tool for the assessment of water quality in polluted lagoon systems: A case study for Küçükçekmece Lagoon, Turkey. Ecological Indicators 2011, 11, 749–756. [Google Scholar] [CrossRef]
- Barnes, R.S.K. The Lagoons of Britain: an overview and conservation appraisal. Biological Conservation 1989, 49, 295–313. [Google Scholar] [CrossRef]
- Johnson, D.E.; Bartlett, J.; Nash, L.A. Coastal lagoon habitat re-creation potential in Hampshire, England. Marine Policy 2007, 31, 599–606. [Google Scholar] [CrossRef]
- Specchiulli, A.; Pastorino, P.; De Rinaldis, G.; Scirocco, T; Anselmi, S.; Cilenti, L.; Ungaro, N.; Renzi, M. Multiple approach for assessing lagoon environmental status based on water bodies quality indices and microplastics accumulation. Science of the Total Environment 2023, 892, 164228. [Google Scholar] [CrossRef]
- Filgueira, J. M. , Pereira Júnior, A.O., Barbosa de Araújo, R.S., Silva, N.F.d. Economic and Social Impacts of the Oil Industry on the Brazilian Onshore. Energies 2020, 13, 1–18. [Google Scholar] [CrossRef]
- Nogueira, A.; Barbosa, G. Challenges to Environmental Sustainability: an analysis of the territorial transformation in the production of the urban space of Maricá/RJ. 2018. [Google Scholar] [CrossRef]
- Tripathi, S. Towards sustainable urban system through the development of small towns in India. Regional Science Policy and Practice 2021, 13, 777–797. [Google Scholar] [CrossRef]
- Caldatto, F.C.; Bortoluzzi, S.C.; Pinheiro de Lima EGouvea da Costa, S.E. Urban Sustainability Performance Measurement of a Small Brazilian City. Sustainability 2021, 13, 9858. [Google Scholar] [CrossRef]
- Barroso-Vanacôr Perrin, P.; Carmouze, J.-P. Lesystème lagunaire de Maricá Guarapina (Brésil) et ses modifications écologiques récentes d'origine antropique. Revue d'Hydrobiologie Tropicale 1994, 27, 189–197.
- INMET (All Weather Data). Instituto Nacional de Meteorologia (INMET); 2020. Available online: https://tempo.inmet.gov.br/TabelaEstacoes/# (accessed on 18 November 2021).
- Cruz CB, M.; Carvalho Júnior, W.; Barros, R.S.; Argento MS, F.; Mayr, L.M. Impactos Ambientais no Sistema Lagunar de Maricá Guarapina. Anais VIII Simpósio Brasileiro de Sensoriamento Remoto 1996, 1996, 137–141. [Google Scholar]
- Folharini, S.D.O.; Oliveira, R.C.; Furtado, A.L.D.S. Unidades geoambientais do Parque Nacional da Restinga de Jurubatiba, litoral norte fluminense. Revista Do Departamento De Geografia 2020, 39, 154–168. [Google Scholar] [CrossRef]
- Carvalho da Silva, A.L.; da Silva, M.A.M.; Gralato, J.C.A.; Silvestre, C.P.S. Geomorphological and sedimentary characterization of the Maricá coastal plain (Rio de Janeiro state). Revista Brasileira de Geomorfologia 2014, 15. [Google Scholar] [CrossRef]
- Knoppers, B.; Kjerfve, B.; Carmouze, J.P. Trophic state and water turn-over time in 6 choked coastal lagoons in Brazil. Biogeochemistry 1991, 14, 149–166. [Google Scholar] [CrossRef]
- Guerra LSavergnini, F.; Silva, F.; Bernardes, M.; Crapez, M. Biochemical and microbiological tools for the evaluation of environmental quality of a coastal lagoon system in Southern Brazil. Brazilian Journal of Biology 2011, 71, 461–468. [Google Scholar] [CrossRef]
- Lins de Barros, F.M. Risco, Vulnerabilidade Física à Erosão Costeira e Impactos Sócio-Econômicos na Orla Urbanizada do Município de Maricá, Rio de Janeiro. Revista Brasileira de Geomorfologia 2005, 6, 83–90. [Google Scholar] [CrossRef]
- Sousa, L.G.R. , Miranda, A. C. de, Medeiros, H. B. de (). O sistema lagunar de Maricá: um estudo de impacto ambiental. IX Fórum Ambiental da Alta Paulista 2013, 9, 153–165. [Google Scholar] [CrossRef]
- APHA (2017). Standard Methods for the Examination of Water and Wastewater (23rd ed.). Washington DC: American Public Health Association.
- EMBRAPA (1997). Empresa Brasileira de Pesquisa Agropecuária Manual de métodos de análise de solos. EMBRAPA.
- EPA (1996). Environmental Protection Agency - U.S.. “Method 3050B: Acid Digestion of Sediments, Sludges, and Soils,” Revision 2. Washington, DC.
- Routledge, E.J.; Sumpter, J.P. Estrogenic Activity of Surfactants and Some of Their Degradation Products Assessed Using a Recombinant Yeast Screen. Environmental Toxicology and Chemistry 1996, 15, 241–248. [Google Scholar] [CrossRef]
- Gomes, G., Argolo, A. dos S., Felix, L. da C., Bila, D. M. Interferences in the yeast estrogen screen (YES) assay for evaluation of estrogenicity in environmental samples, chemical mixtures, and individual substances, Toxicology in Vitro, Volume 88, 2023, 105551, ISSN 0887-2333. [CrossRef]
- Cunha, D.L.; SMuylaert Nascimento MT, L.; Felix, L.C.; Gomes, G.; Bila, D.M.; Fonseca, E.M. Occurrence of emerging contaminants and analysis of oestrogenic activity in the water and sediments from two coastal lagoons in south-eastern Brazil. Marine and Freshwater Research 2020, 72, 213–227. [Google Scholar] [CrossRef]
- Frische, T.; Faust, M.; Meyer, W.; Backhaus, T. Toxic masking and synergistic modulation of the estrogenic activity of chemical mixtures in a yeast estrogen screen (YES). Environmental Science and Pollution Research 2009, 16, 593–603. [Google Scholar] [CrossRef] [PubMed]
- Moore, W.S. The subterranean estuary: a reaction zone of ground water and sea water, Marine Chemistry 1999, 65, 111–125. [CrossRef]
- Mastrocicco, M.; Colombani, N. The Issue of Groundwater Salinization in Coastal Areas of the Mediterranean Region: A Review. Water 2021, 13, 90. [Google Scholar] [CrossRef]
- Vengosh, A. (2003). 9.09 - Salinization and Saline Environments, Editor(s): Heinrich D. Holland, Karl K. Turekian, Treatise on Geochemistry, Pergamon, 1–35. [CrossRef]
- Werner, A.D.; Bakker, M.; Post, V.E.A.; Vandenbohede, A.; Lu, C.; Ataie-Ashtiani, B.; Simmons, C.T.; Barry, D.A. Seawater intrusion processes, investigation and management: recent advances and future challenges. Advances in Water Resources 2013, 51, 3–26. [Google Scholar] [CrossRef]
- Bagheri R, Nosrati, A., Jafari, H., Eggenkamp, H.G.M., Mozafari, M. (2019). Overexploitation hazards and salinization risks in crucial declining aquifers, chemo-isotopic approaches. Journal of Hazardous Materials. 5(369), 150–163. [CrossRef]
- Akpataku, K. V., Gnazou, M. D. T., Djanéyé-Boundjou, G., Bawa, L. M. & Faye, S. (2020). Role of Natural and Anthropogenic Influence on the Salinization of Groundwater from Basement Aquifers in the Middle Part of Mono River Basin, Togo. Journal of Environmental Protection, 11(1), 1030–1051. [CrossRef]
- Jiang, LQ., Carter, B.R., Feely, R.A., Lauvset, S. K., Olsen, A. (2019) Surface ocean pH and buffer capacity: past, present and future. Scientific Reports. 9, 18624. [CrossRef]
- Bartoli, G., Papa, S., Sagnella, E., Fioretto, A. (2012). Heavy metal content in sediments along the Calore river: Relationships with physical–chemical characteristics. Journal of Environmental Management, 95:9–14. [CrossRef]
- Ramírez-Ayala, E., Arguello-Pérez, M., Adrián, T., Mendoza, P., Jorge, A., Díaz-Gómez, J., Pérez-Rodríguez, R. Y., Núñez-Nogueira, G., & Sepúlveda-Quiroz, C., Zepeda-González, F., Lezama-Cervantes, C. (2021). Heavy metals in sediment and fish from two coastal lagoons of the Mexican Central Pacific. Latin American Journal of Aquatic Research, 49(5), 818–827. [CrossRef]
- Turekian, K.K. and Wedepohl, K.H. (1961) Distribution of the Elements in Some Major Units of the Earth’s Crust. Geological Society of America Bulletin, 72, 175–192. [CrossRef]
- Mannaa, A.A., Khan, A.A., Haredy, R., Al-Zubieri, A.G. (2021). Contamination Evaluation of Heavy Metals in a Sediment Core from the Al-Salam Lagoon, Jeddah Coast, Saudi Arabia. Journal of Marine Science and Engineering, 9, 899. [CrossRef]
- Zhang, Z. et al. (2022). Contamination of Heavy Metals in Sediments from an Estuarine Bay, South China: Comparison with Previous Data and Ecological Risk Assessment. Processes, 10, 837. [CrossRef]
- Long, E.R. (2006). Calculation and uses of mean sediment quality guideline quotients: a critical review. Environmental Science & Technology, 40, 1726–1736. [CrossRef]
- Perin, G., Bonardi, M., Fabris, R., Simoncini, B., Manente, S., Tosi, L. & Scotto, S. (1997). Heavy metal pollution in central Venice Lagoon bottom sediments: evaluation of the metal bioavailability by geochemical speciation procedure. Environmental Technology, 18, 593–604. [CrossRef]
- Pusceddu, F. H., Sugauara, L.E., de Marchi, M.R., Choueri, R.B., Castro, Í.B. (2019). Estrogen levels in surface sediments from a multi-impacted Brazilian estuarine system. Marine Pollution Bulletin, 142, 576-580.
- Lima, M.F.B., Fernandes, G.M., Oliveira, A.H.B., Morais, P.C.V., Marques, E.V., Santos, F.R., Nascimento, R..F, Swarthout, R.F., Nelson, R.K., Reddy, C.M., Cavalcante, R.M. (2019). Emerging and traditional organic markers: Baseline study showing the influence of untraditional anthropogenic activities on coastal zones with multiple activities (Ceará coast, Northeast Brazil). Marine Pollution Bulletin, (139) 256–262. [CrossRef]
- Pimentel, M.F., Pimentel, M. F., Damasceno, É. P., Jimenez, P. C., Araújo, P. F. R., Bezerra, M. F., de Morais, P. C. V., Cavalcante, R. M., Loureiro, S. & Costa-Lotufo, L. V. (2016). Endocrine disruption in Sphoeroides testudineus tissues and sediments highlights contamination in a northeastern Brazilian estuary. Environmental Monitoring and Assessment, 188(5), 1–13. [CrossRef]
- Morais, P.C.V. Lima, M.F.B., Martins, D.A., Fontenele, L.G., Lima, J.L.R., da Silva, Í.B., Pinheiro, L.S., Nascimento, R.F., Cavalcante, R.M. and Marques, E.V. (2020). Use of an environmental diagnostic study on a coastal lagoon as a decision support tool for environmental management policies in a coastal zone. Management of Environmental Quality: An International Journal, 31(1), 167–184. [CrossRef]
- Griffero, L., Gomes, G., Berazategui, M., Fosalba, C., Teixeira de Mello, F., Rezende, C., Bila, D., & Gacía-Alonso, J. (2018). Estrogenicity and cytotoxicity of sediments and water from the drinkwater source basin of Montevideo city, Uruguay. Ecotoxicology and Environmental Contamination, 13(1), 15–22. [CrossRef]
- Cunha D., Muylaert, S., Nascimento, M., Felix, L., Andrade, J. J. D. D., Silva, R., Bila, D. (2021). Concentration and toxicity assessment of contaminants in sediments of the Itaipu–Piratininga lagoonal system, Southeastern Brazil. Regional Studies in Marine Science 46, 101873. [CrossRef]
- Gorga, M., Insa, S., Petrovic, M., Barceló, D. (2015). Occurrence and spatial distribution of EDCs and related compounds in waters and sediments of Iberian rivers. Science of the Total Environment, 503–504, 69–86. [CrossRef]
- Zhang, C., Yu, Z.G., Zeng, G.M., Jiang, M., Yang, Z.Z., Cui, F., Zhu, M.Y., Shen, L.Q., Hu, L. (2014). Effects of sediment geochemical properties on heavy metal bioavailability, Environment International, 73, 270–281, ISSN 0160-4120. [CrossRef]
- Tansel, B. & Rafiuddin, S. (2016) Heavy metal content in relation to particle size and organic content of surficial sediments in Miami River and transport potential. International Journal of Sediment Research, 31(4), 324–329. [CrossRef]
- Huang, L. Fang, H.. Ni, K., Yang, W., Zhao, W., He, G., Han, Y., Li, X. (2018). Distribution and Potential Risk of Heavy Metals in Sediments of the Three Gorges Reservoir: The Relationship to Environmental Variables. Water, 10, 1840. [CrossRef]
- Ali, A. & Talabani, M. (2018) Heavy Metals Distribution and Their Correlation with Clay Size Fraction in Stream Sediments of the Lesser Zab River at Northeastern Iraq. Journal of Geoscience and Environment Protection, 6, 89–106. [CrossRef]
- Yang , X., Xiong, B. & Yang, M. (2010). Relationships among Heavy Metals and Organic Matter in Sediment Cores from Lake Nanhu, an Urban Lake in Wuhan, China, Journal of Freshwater Ecology, 25(2), 243–249. [CrossRef]
- Refaey, Y. Yansen, B., El-Shater, A., El-Haddad, A., Kalbitz, K. (2014). The Role of Dissolved Organic Matter in Adsorbing Heavy Metals in Clay-Rich Soils. Vadose Zone Journal 13 (7), vzj2014010009. [CrossRef]




















| Heavy Metal | Cu | Zn | Pb | Cd | Ni | As | Cr | Hg | Reference | |
|---|---|---|---|---|---|---|---|---|---|---|
| Reference | ||||||||||
| Maricá’s watershed and lagoon | n.d. – 47.9 | 5 - 232 | 1.07 – 34.41 | n.d. – 2.89 | n.d. – 22.9 | n.d. – 9.62 | 0.42 – 77.42 | n.d. | Present Study | |
| Barra de Navidad and Colima Lagoon (Mexico) | 42.7 – 123.9 | 0.02 – 0.42 | 10.7 – 25.4 | n.d. | [48] | |||||
| Global Average Shale | 45 | 95 | 20 | 0.30 | 68 | 4.70 | 90 | 0.18 | [49] | |
| Red Sea | 92 | 227 | 64 | - | 51 | -- | 60 | [50] | ||
| Shantou Bay (China) | 19.0 – 48.0 | 44.4 – 962.6 | 21.9 – 102.9 | 0.2 – 3.6 | 8.2 – 48.0 | - | 23.7 – 80.0 | - | [51] | |
| ERL | 34 | 150 | 47 | 1.2 | 8.2 | 81 | .0.15 | [52] | ||
| ERM | 270 | 410 | 218 | 9.6 | 70 | 370 | 0.71 | |||
| Non - polluted | <25 | <90 | <40 | - | - | <3 | <25 | ≤1.0 | [53] | |
| Moderately polluted | 25 – 50 | 90 - 200 | 40 - 60 | - | - | 3 - 8 | 25 - 75 | - | ||
| Heavely polluted | >50 | >200 | >60 | >6 | - | >8 | >75 | >1.0 | ||
| Temp (ºC) | pH | ORP | turbidity | DO (mg.L-¹) | Salinity | E. coli | COT (%) | Fine Sediment | EEQ-E2 | As | Cd | Pb | Cu | Cr | Hg | Ni | Zn | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Temp (ºC) | 0,78168 | 0,071271 | 0,014823 | 0,00824 | 2,85E-06 | 3,65E-02 | 0,11622 | 0,49648 | 0,99101 | 0,37143 | 0,49311 | 0,3296 | 0,82113 | 0,491 | 0,056701 | 0,52227 | 0,83226 | |
| pH | -0,07028 | 0,93997 | 0,98377 | 0,59932 | 0,63212 | 0,11802 | 0,060061 | 0,12407 | 0,021983 | 0,81756 | 0,28844 | 0,098122 | 0,19539 | 0,12498 | 0,16024 | 0,18078 | 0,46851 | |
| ORP | 0,43492 | 0,019121 | 0,23589 | 0,000122 | 0,007643 | 1,42E-04 | 0,095315 | 0,003466 | 0,29345 | 0,63756 | 0,39162 | 0,004436 | 0,18149 | 0,005251 | 0,1141 | 0,011922 | 0,32828 | |
| turbidity | -0,56376 | -0,00517 | -0,29427 | 0,29905 | 0,009718 | 0,37673 | 0,52023 | 0,86121 | 6,56E-01 | 0,93767 | 0,40091 | 0,75073 | 0,50951 | 0,7322 | 0,44772 | 0,65609 | 0,44745 | |
| DO (mg.L-¹) | 0,60176 | 0,13282 | 0,78306 | -0,25916 | 0,004925 | 0,000179 | 0,002411 | 0,001648 | 0,19935 | 0,92036 | 0,48976 | 0,002533 | 0,083402 | 4,44E-03 | 0,046943 | 0,009357 | 0,23711 | |
| Salinity | 0,86912 | -0,12112 | 0,60631 | -0,59152 | 0,63166 | 0,039879 | 0,024156 | 0,093291 | 0,57995 | 0,27499 | 0,059901 | 0,080153 | 0,3862 | 0,13494 | 0,18203 | 0,11204 | 0,56472 | |
| E. coli | -0,51007 | -0,3936 | -0,79392 | 0,22896 | -0,78672 | -0,50235 | 0,056077 | 0,031332 | 0,087656 | 0,51824 | 0,79498 | 1,97E-02 | 0,71656 | 0,045332 | 4,19E-05 | 0,08778 | 0,65954 | |
| COT (%) | 0,38346 | 0,4514 | 0,40517 | -0,16219 | 0,66873 | 0,52847 | -0,47146 | 0,001425 | 0,007105 | 0,35801 | 0,010139 | 0,002489 | 1,23E-02 | 0,006094 | 0,32052 | 0,006157 | 0,053431 | |
| Fine Sediment | 0,1714 | 0,37603 | 0,65049 | 0,044376 | 0,68663 | 0,40745 | -0,52272 | 0,69318 | 0,012163 | 0,81098 | 0,017428 | 1,17E-07 | 0,00038 | 6,44E-09 | 0,36719 | 3,99E-09 | 0,000923 | |
| EEQ-E2 | -0,00332 | -0,60466 | -0,30233 | 0,13053 | -0,36505 | -0,16204 | 0,49202 | -0,68293 | -0,64824 | 0,27026 | 0,001132 | 0,012233 | 0,011342 | 0,015243 | 0,56386 | 0,03375 | 0,042629 | |
| As | 0,22406 | -0,05853 | -0,1192 | 0,019857 | 0,025386 | 0,27194 | 0,16839 | 0,23025 | 0,060674 | -0,31649 | 0,090331 | 0,40869 | 0,10441 | 0,57003 | 0,11507 | 0,64648 | 0,13202 | |
| Cd | 0,17848 | 0,27334 | 0,22208 | -0,21786 | 0,17984 | 0,46517 | 0,07061 | 0,60462 | 0,56779 | -0,77495 | 0,42344 | 0,020883 | 0,000953 | 0,028166 | 0,40923 | 0,007972 | 0,000633 | |
| Pb | 0,2438 | 0,40207 | 0,6374 | 0,080537 | 0,66632 | 0,42318 | -0,55872 | 0,66718 | 0,91378 | -0,64785 | 0,2075 | 0,55452 | 4,20E-05 | 3,33E-12 | 0,085608 | 7,35E-10 | 0,000689 | |
| Cu | 0,057364 | 0,32006 | 0,32972 | 0,16632 | 0,41912 | 0,21739 | -0,0951 | 0,57653 | 0,74587 | -0,653 | 0,39534 | 0,72663 | 0,8124 | 4,20E-05 | 0,7787 | 1,38E-05 | 2,18E-09 | |
| Cr | 0,17355 | 0,37519 | 0,6281 | 0,086732 | 0,6374 | 0,36627 | -0,49104 | 0,61964 | 0,94063 | -0,63235 | 0,14349 | 0,53136 | 0,97727 | 0,8124 | 0,23742 | 5,69E-12 | 0,000142 | |
| Hg | 0,48532 | 0,36846 | 0,41066 | -0,20437 | 0,50318 | 0,35138 | -0,85851 | 0,26539 | 0,24167 | -0,18547 | 0,40966 | -0,23016 | 0,44312 | 0,076344 | 0,31327 | 0,53911 | 0,59322 | |
| Ni | 0,16141 | 0,33023 | 0,57838 | 0,11272 | 0,5939 | 0,38756 | -0,4265 | 0,61905 | 0,94416 | -0,56889 | 0,11607 | 0,61969 | 0,95499 | 0,83851 | 0,97569 | 0,16593 | 3,68E-05 | |
| Zn | -0,05375 | 0,18252 | 0,24444 | 0,19112 | 0,29354 | 0,14545 | 0,11527 | 0,46225 | 0,71178 | -0,54768 | 0,36884 | 0,74299 | 0,72351 | 0,94829 | 0,77829 | -0,14457 | 0,81574 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).