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Extraction of soil samples with dilute CaCl solution in a routinely performed batch test has potential to be used in site-specific assessment of ecotoxicological risks at metal-contaminated sites. Soil extracts could potentially give a measure of the concentration of bioavailable metals in the soil solution, thereby including effects of soil properties and contaminant "aging." We explored the possibility of using a 0.001 M CaCl batch test combined with biotic ligand models (BLMs) for assessment of ecotoxicity in soils. Concentrations of Cu and Zn in soil extracts were linked to responses in ecotoxicity tests (microbial processes, plants, and invertebrates) previously performed on metal-spiked soils. The batch test data for soils were obtained by spiking archived soil materials using the same protocol as in the original studies. Effective concentration values based on free metal concentrations in soil extracts were related to pH by linear regressions. Finally, field-contaminated soils were used to validate model performance. Our results indicate a strong pH-dependent toxicity of the free metal ions in the soil extracts, with R values ranging from 0.54 to 0.93 (median 0.84), among tests and metals. Using pH-adjusted Cu and Zn concentrations in soil extracts, the toxic responses in spiked soils and field-contaminated soils were similar, indicating a potential for the calibrated models to assess toxic effects in field-contaminated soils, accounting for differences in soil properties and effects of contaminant "aging." Consequently, evaluation of a standardized 0.001 M CaCl batch test with a simplified BLM can provide the basis for an easy-to-use tool for site-specific risk assessment of metal toxicity to soil organisms. Environ Toxicol Chem 2022;41:1540-1554. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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http://dx.doi.org/10.1002/etc.5326 | DOI Listing |
Water Res X
May 2025
Water Research Centre, School of Civil and Environmental Engineering, University of New South Wales, Sydney, New South Wales, 2052, Australia.
Anaerobic ammonium oxidation coupled with Fe(III) reduction (Feammox) is an essential process in the geochemical iron and nitrogen cycling. This study explores Feammox-based nitrogen removal in a continuous laboratory up-flow bioreactor stimulated by intermittently adding 5 mM Fe(OH) at intervals of approximately two months. The feed was synthetic wastewater with a relatively low ammonium concentration (∼100 mg N/L), yet without organic carbon in order to test its autotrophic nitrogen removal performance.
View Article and Find Full Text PDFJ Family Med Prim Care
November 2024
Department of Community Medicine, Government Medical College Pali, Rajasthan, India.
Background: Many public health topics in the subject of Community Medicine have a psycho sociocultural aspect to them, and these are taught by traditional methods like didactic lectures with little or no interaction of faculty and students. This limits the comprehensive understanding of the students regarding sensitive issues. There is a felt need to improve the knowledge and understanding of many of these competencies among students through available cinema movies addressing these concepts.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
College of Environmental and Resource Sciences, Zhejiang A&F University, Lin'an 311300, China.
Cadmium (Cd) and arsenic (As) often coexist in water and agricultural soils around mining areas, and it is difficult to remove them at the same time due to their opposite chemical behaviors. Therefore, this study employed a co-precipitation-pyrolysis method to synthesize silica-based magnetic biochar (SMB) materials for the remediation of water contaminated with both Cd and As. The optimization of preparation conditions involved introducing three different types of silicates (NaSiO, CaSiO,and SiO) into the biomass-magnetite mixture, followed by pyrolysis at various temperatures (300℃, 500℃, and 700℃), and the optimal preparation conditions were determined based on the composite batch experiments.
View Article and Find Full Text PDFBMC Bioinformatics
December 2024
Albert Szent-Györgyi Health Centre, University of Szeged, Korányi fasor 14-15, Szeged, H-6725, Csongrád-Csanád, Hungary.
Background: Accurate prediction of copy number variations (CNVs) from targeted capture next-generation sequencing (NGS) data relies on effective normalization of read coverage profiles. The normalization process is particularly challenging due to hidden systemic biases such as GC bias, which can significantly affect the sensitivity and specificity of CNV detection. In many cases, the kit manifests provide only the genome coordinates of the targeted regions, and the exact bait design of the oligo capture baits is not available.
View Article and Find Full Text PDFInterdiscip Sci
December 2024
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, School of Software, Changzhou University, Changzhou, 213164, China.
Cell-Penetrating Peptides (CPPs) are a crucial carrier for drug delivery. Since the process of synthesizing new CPPs in the laboratory is both time- and resource-consuming, computational methods to predict potential CPPs can be used to find CPPs to enhance the development of CPPs in therapy. In this study, EnDM-CPP is proposed, which combines machine learning algorithms (SVM and CatBoost) with convolutional neural networks (CNN and TextCNN).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!