The pre-treatment of landfill leachate prior to its co-treatment in the municipal plants of waste water processing could represent an appropriate and cost-effective solution for its management. Pre-treatment is necessary especially to remove heavy metals, which may be transferred to the excess sludge preventing its valorisation. In the present paper, we propose a chemical-physical pre-treatment of leachate using four different granular reactive media able to selectively remove the contaminants present in the leachate. The efficiency of these materials was investigated using synthetic leachate through batch tests and a column test. In the latter case the four materials were placed in two columns connected in series and fed an under constant upward flow (0.5 mL/min). The first column was filled half (50 cm) with a granular mixture of zero valent iron (ZVI) and pumice and half (50 cm) with a granular mixture of ZVI and granular activated carbon (GAC). The second column, which was fed with the effluent of the first column, was filled half with zeolite (chabazite) and half with GAC. Heavy metals were mainly removed by the ZVI/pumice and ZVI/GAC steps with a removal efficiency that was higher than 98, 94 and 90% for copper, nickel and zinc, respectively, after 70 days of operation. Ammonium was removed by zeolite with a removal efficiency of 99% up to 23 days. The average reduction of the chemical oxygen demand (COD) was of 40% for 85 days, whereas chloride and sulphate removal was negligible.
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http://dx.doi.org/10.1016/j.scitotenv.2018.06.353 | 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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