The contribution of smelting of nonferrous metals to heavy metals in surface soil have become increasingly important over the past decade. In this study, the distribution of heavy metals around an abandoned mercury-bearing waste recovery enterprise were investigated. Soil (14) and plant (18) samples were collected in the surrounding area. The total concentration of heavy metals and methyl mercury content were measured by ICP-MS and HPLC-ICP-MS. The results show that the average contents of Cd, Cr, Pb, Hg and As in all soil samples are higher than the second-level values of Soil environmental quality-Risk control standard for soil contamination of development land (GB 36600-2018). Hg in the leaves ranged from 0.003 to 0.174 mg kg. Besides, the Pearson correlation analysis results indicate that Hg has a different environmental behavior compared to the other heavy metal under certain environmental or geographical conditions. But the mantel test statistical analysis results show that the Cr (P < 0.01), Cu, Pb, and Fe (P < 0.05) in the soil may have similar pollution sources with carbonate-bound mercury and iron-manganese oxide-bound mercury. The Hg concentrations show no correlation among plant leaves and soil, but significantly influenced by the distance and wind direction. These findings suggest that Hg in plant leaves may be derived from the deposition of atmospheric mercury from secondary mercury plant. The results will supplement those for relevant policy making for mercury-bearing waste recovery enterprises to improve urban environmental quality and human health.
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http://dx.doi.org/10.1016/j.envres.2024.118694 | DOI Listing |
Fish Physiol Biochem
January 2025
Department of Biological Sciences, College of Science, University of Jeddah, P.O. Box 80327, Jeddah 21589, Saudi Arabia.
High cadmium (Cd) concentrations pose a threat to aquatic life globally. This study examined the efficiency of adding purslane (Portulaca oleracea L.) leaf powder (PLP) to Oreochromis niloticus diets on Cd's negative effects.
View Article and Find Full Text PDFMikrochim Acta
January 2025
Department of Chemistry, Sardar Vallabhbhai National Institute of Technology, Surat, Gujarat, 395 007, India.
A fluorescence "turn-off-on" nanoprobe is designed by using europium-doped strontium molybdate perovskite quantum dots (Eu:SMO PQDs) for the sequential detection of hypoxanthine (Hx) and Fe. The Eu:SMO PQDs were prepared by the sol-gel method using Sr(NO), (NH)MoO.4HO, and Eu(OCOCH) as precursors.
View Article and Find Full Text PDFLuminescence
January 2025
Faculty of Materials Science and Chemistry, China University of Geosciences, Wuhan, China.
Currently, the development of red Mn-activated fluoride luminescent materials attracts a lot of attention in optical thermometry sensors, solid lighting, display, and plant growth areas. Nevertheless, the thermal stability of Mn-activated fluoride luminescent materials is still a crucial issue. Herein, a new red RbNaVF:Mn luminescent material with outstanding thermal stability was successfully synthesized through the facial coprecipitation method.
View Article and Find Full Text PDFJ Cachexia Sarcopenia Muscle
February 2025
Central Arkansas Veterans Healthcare System, Little Rock, Arkansas, USA.
Background: A decline in skeletal muscle mass and function known as skeletal muscle sarcopenia is an inevitable consequence of aging. Sarcopenia is a major cause of decreased muscle strength, physical frailty and increased muscle fatigability, contributing significantly to an increased risk of physical disability and functional dependence among the elderly. There remains a significant need for a novel therapy that can improve sarcopenia and related problems in aging.
View Article and Find Full Text PDFSensors (Basel)
December 2024
College of Engineering, Shanxi Agricultural University, Jinzhong 030801, China.
In order to solve the problems of high planting density, similar color, and serious occlusion between spikes in sorghum fields, such as difficult identification and detection of sorghum spikes, low accuracy and high false detection, and missed detection rates, this study proposes an improved sorghum spike detection method based on YOLOv8s. The method involves augmenting the information fusion capability of the YOLOv8 model's neck module by integrating the Gold feature pyramid module. Additionally, the SPPF module is refined with the LSKA attention mechanism to heighten focus on critical features.
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