Pyrolysis in an inert atmosphere is a widely applied route to convert tannery wastes into reusable materials. In the present study, the Cr(III) conversion into the toxic hexavalent form in the pyrolyzed tannery waste referred to as KEU was investigated. Ageing experiments and leaching tests demonstrated that the Cr(III)-Cr(VI) inter-conversion occurs in the presence of air at ambient temperature, enhanced by wet environmental conditions. Microstructural analysis revealed that the Cr-primary mineral assemblage formed during pyrolysis (Cr-bearing srebrodolskite and Cr-magnetite spinel) destabilized upon spray water cooling in the last stage of the process. In the evolution from the higher to the lower temperature mineralogy, Cr is incorporated into newly formed CrOOH flakes which likely react in air forming extractable Cr(VI) species. This property transforms KEU from an inert waste to a hazardous material when exposed to ordinary ambient conditions.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10539330 | PMC |
http://dx.doi.org/10.1038/s41598-023-43579-9 | DOI Listing |
Int J Biol Macromol
December 2024
School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China. Electronic address:
In this paper, Mg/Al-layered double hydroxide (Mg/Al-LDH) was modified with the natural polymers sodium alginate and guar gum, and the prepared GG/SA/Mg-Al-LDH composite microsphere adsorbent (G-LDH) showed better adsorption performance for Congo red and hexavalent chromium in aqueous solution than the Mg/Al-LDH. The adsorption and surface properties of G-LDH in terms of functional groups, basic constituent elements and structural properties were obtained by different techniques. SEM shows that the average particle size of G-LDH is between 400 and 900 nm and exhibits a distinct microsphere morphology.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
School of Environment and Resource, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China; Key Laboratory of Solid Waste Treatment and Resource Recycle, Southwest University of Science and Technology, Mianyang, Sichuan 621010, China. Electronic address:
Chromium [Cr(VI)]-induced soil pollution is a serious environmental threat. Bioremediation utilizes specific microbes capable of transforming Cr(VI) into the less toxic Cr(III), however, microbial efficacy can be inhibited by elevated pollutant concentrations and competition from indigenous microbial communities. Thus, this study explored the potential of single and multi-domain microbial consortia encapsulated in alginate to overcome these shortcomings.
View Article and Find Full Text PDFPLoS One
December 2024
School of Design, Informatics and Business, Abertay University, Dundee, United Kingdom.
The reuse of electro-coagulated sludge as an adsorbent for Cr(VI) ion reduction was investigated in this study. Electro-coagulated sludge was obtained during the removal of citric acid wastewater by the electrocoagulation process. The following parameters were optimized for Cr(VI) reduction: pH (5-7), initial Cr(VI) concentration (10-50 mg/L), contact time (10-45 min), and adsorbent dosage (0.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2024
Laboratory of Interface Materials Environment, Faculty of Sciences Ain Chock, Hassan II University, Casablanca, Morocco.
This study explores the use of functionalized manganese oxide (K-MnO-NH) for the removal of hexavalent chromium (Cr(VI)) ions, a highly toxic heavy metal contaminant, from wastewater. The synthesis of K-MnO-NH was achieved through a two-step process, followed by comprehensive characterization using various analytical techniques, which confirmed the material's formation as a pure phase. The K-MnO-NH exhibited exceptional chromium removal efficiency, achieving up to 90% (4.
View Article and Find Full Text PDFSci Rep
December 2024
Knight Foundation School of Computing and Information Sciences, Florida International University, Miami, USA.
Groundwater monitoring is a crucial part of groundwater remediation that produces data from various strategically placed wells to maintain a water quality standard. Using the United States Department of Energy's Hanford 100-HRD area well data, recurrent neural networks are trained in the form of one-dimensional Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Dual-stage Attention-based LSTM (DA-LSTM) networks to reduce monitoring costs and increase data sampling responsiveness that is subject to laboratory analysis delays, with the best network being DA-LSTM achieving an R score of 0.82.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!