Shallow marine sediments and fringing coral reefs of the Buyat-Ratototok district of North Sulawesi, Indonesia, are affected by submarine disposal of tailings from industrial gold mining and by small-scale gold mining using mercury amalgamation. Between-site variation in heavy metal concentrations in shallow marine sediments was partially reflected by trace element concentrations in reef coral skeletons from adjacent reefs. Corals skeletons recorded silicon, manganese, iron, copper, chromium, cobalt, antimony, thallium, and lead in different concentrations according to proximity to sources, but arsenic concentrations in corals were not significantly different among sites. Temporal analysis found that peak concentrations of arsenic and chromium generally coincided with peak concentrations of silica and/or copper, suggesting that most trace elements in the coral skeleton were incorporated into detrital siliciclastic sediments, rather than impurities within skeletal aragonite.
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http://dx.doi.org/10.1016/j.marpolbul.2008.05.028 | DOI Listing |
Mikrochim Acta
March 2025
School of Materials Science and Chemical Engineering, Ningbo University, Ningbo, 315211, P. R. China.
The phosphorylation of nucleic acids mediated by 5'-polynucleotide kinase (PNK) exerts a crucial regulatory function in a wide range of significant cellular activities. Nevertheless, the current approaches for detecting PNK require expensive labeled probes and complex instrumentation, making it impossible to achieve real-time, on-site, and rapid analysis. Here, we take T4 PNK as a model and establish a novel colorimetric strategy for the detection of PNK activity and its inhibition by means of a coupled enzyme-assisted cyclic strand displacement amplification (SDA) and peptide nucleic acid (PNA)-gold nanoparticle (AuNP) based platform.
View Article and Find Full Text PDFACS Omega
March 2025
Universidade Federal da Bahia, Instituto de Química, Campus Ondina, Salvador 40170-270, Bahia, Brazil.
This work reports the determination of mercury and the assessment of health risks in water, river sediments, and soil samples collected in the city of , Brazil, located in a region impacted by gold mining. The mercury determinations were performed using the direct method analyzer (DMA) method, which was carefully validated according to the IUPAC recommendations. Total mercury contents ranged from 0.
View Article and Find Full Text PDFEnviron Pollut
March 2025
Department of Biology, University of Ottawa, Ottawa, Ontario, K1N 6N5, Canada.
We investigated the bioaccumulation patterns of arsenic species in freshwater food webs from three lakes near historical mining operations in the Northwest Territories, Canada. Two of these lakes (Long Lake and Lower Martin Lake) were located within 5 km of the mine's roaster stacks, while a third lake (Small Lake), situated 27 km away, served as a far-field reference site. In each lake, we measured the concentrations of arsenic species, including As(III), As(V), MMA, DMA and organic arsenobetaine, AsB, across multiple environmental and biological compartments, including water, sediment, macrophytes, periphyton, phytoplankton, zooplankton, benthic invertebrates, and small- and large-bodied fish.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
March 2025
Department of Animal Biology, Federal University of Technology, Minna, 290262, Nigeria.
Anthropogenic activities exert significant pressures on the dynamics and health of dominant fish species in aquatic ecosystems. In this study, we evaluated how human activities impact the community structure, length-weight relationships, and condition factors of key fish species in a north-central Nigeria river. Sampling was conducted over 14 months across four sites with varying levels of disturbance: Zhabyala (minimal), Tunga Waya, Chanchaga, and Korokpan (severe).
View Article and Find Full Text PDFAn Acad Bras Cienc
March 2025
Universidade Federal de Ouro Preto, Departamento de Engenharia de Minas, Morro do Cruzeiro Campus, s/n, Bauxita, 35400-000 Ouro Preto, MG, Brazil.
Controlling ore dilution in underground mining is challenging. In this study, data from a Brazilian gold mine were analyzed, covering 70 chambers and 26 variables. Six key variables were identified through decision tree analysis, forming the basis of a predictive model using advanced soft computing techniques.
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