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21 results for “Phenanthrene”
Data associated with a study on freshwater phenanthrene removal by three emergent wetland plants conducted in a microcosm experiment at the IISD Experimental Lakes Area, ON, Canada, in 2022.
The following package includes data from a study that evaluated the efficacy of three common wetland plants, Typha sp. (cattail), Carex utriculata (sedge a), and C. lasiocarpa (sedge b) in enhancing removal of phenanthrene (1 mg/L) from freshwater in a microcosm experiment conducted at the IISD Experimental Lakes Area, northwestern Ontario, Canada, in 2022. Over 21 days, microcosms were monitored for phenanthrene chemistry, basic water quality, plant growth metrics (height and final biomass), and root biofilm oxygen consumption (respirometry) and adenosine triphosphate (ATP). Data included in this package was first collected and used in the paper by Stanley et al., titled Freshwater Phenanthrene Removal by three Emergent Wetland Plants.
Phenanthrene: TD-DFTB datasets, pre-trained SchNet models and initial coniditions for TSH
<p><em>Data associated with the paper entitled </em></p> <p><strong>On application of Deep Learning to simplified quantum-classical dynamics in electronically excited states</strong></p> <ol> <li>Three TD-DFTB datasets (<strong>sX_10_force.db</strong>) have been produced using the <a href="https://wiki.fysik.dtu.dk/ase/">Atomic Simulation Environment</a> (ASE) coupled to <a href="http://demon-nano.ups-tlse.fr/">deMon-Nano</a> code for the linear response Time-Dependent Density Functional based Tight-Binding (TD-DFTB) calculations. Each dataset contains 10000 TD-DFTB electronic structure calculations for a given excited singlet state (S<sub>2</sub>/S<sub>3</sub>/S<sub>4</sub>) of a neutral phenanthrene molecule. Each database entry contains Cartesian atomic coordinates as well as potential energy and atomic forces for a given excited state at a given geometry. Since ASE has been used, all physical quantities are stored in the corresponding units (e.g. eV for energy or eV/Å for forces). The file format is SQLite as provided by the ASE;</li> <li>Three pre-trained Deep Learning models (<strong>best_model_sX</strong>) for a given excited singlet state have been produced using <a href="https://schnetpack.readthedocs.io/en/stable/">SchNetPack</a> package, which implements the SchNet architecture for atomistic simulations. Each model has been trained using the corresponding TD-DFTB dataset from #1. The file format is binary as provided by the SchNetPack;</li> <li><a href="https://zenodo.org/api/files/f1925cb5-66a8-4c6f-809b-3414f0cbc1d5/500_init_conditions.tar.gz"><strong>500_init_conditions.tar.gz</strong> </a> contains 500 initial conditions (Cartesian coordinates and velocities), which can be used for Trajectory Surface Hopping (TSH) simulations with or without the pre-trained models from #2.</li> </ol> <p> </p>
Interactions between phenanthrene exposure and historical chemical stress: Implications for fitness and ecological resilience of the sentinel species Daphnia magna
<div> <p>Polycyclic aromatic hydrocarbons (PAHs) arise from incomplete combustion of oil, coal, and gasoline, with lipophilic properties facilitating their widespread distribution and persistence. Due to their biochemical attributes, PAHs can accumulate in animal tissues, potentially causing mutagenic and carcinogenic effects. Since the industrial revolution, PAH concentrations in the environment have risen, with some areas showing levels from 0.159 to 33,090 µg/kg sediment. Despite acute toxicity studies showing adverse effects on freshwater organisms, the long-term impacts and synergistic interactions with other pollutants remain largely unexplored. </p> </div> <div> <p>This study investigates the impact of phenanthrene (PHE), a prominent PAH found in aquatic environments, on <em>Daphnia magna</em>, a species of significant ecological importance in freshwater ecosystems globally, being both a sentinel species for chemical pollution and a keystone organism in freshwater aquatic ecosystems. Leveraging the dormancy of <em>D. magna</em>, which spans decades or even centuries, we exposed strains with diverse histories of chemical contaminant exposure to environmentally relevant concentrations of PHE. Initially, acute exposure experiments were conducted in accordance with OECD guidelines across 16 <em>Daphnia</em> strains, revealing substantial variation in acute toxic responses, with strains naïve to chemical pollutants showing the lowest toxicity. Utilizing the median effect concentration EC10 derived from acute exposures, we assessed the impacts of chronic PHE exposure on the life history traits and ecological endpoints of the 16 strains. To elucidate how historical exposure to other environmental stressors may modulate the toxicity of PHE, temporal populations of <em>D. magna</em> resurrected from a lake with a well-documented century-spanning history of environmental impact were utilized. Our findings demonstrate that PHE exposure induces developmental failure, delays sexual maturation, and reduces adult size in <em>Daphnia</em>. Populations of <em>Daphnia</em> historically exposed to chemical stress exhibited significantly greater fitness impacts compared to naïve populations. This study provides crucial insights into the augmented effects of PAHs interacting with other environmental stressors. </p> </div>
Interactions between phenanthrene exposure and historical chemical stress: Implications for fitness and ecological resilience of the sentinel species Daphnia magna
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Determining Levels of [D10] Phenanthrene Tetraol in Smokers' Urine
ClinicalTrials.gov study NCT01092650. IPD Sharing: Not stated. Countries: 1. Publications: 20.
Fig. 1 in Phenanthrene, 9,10-dihydrophenanthrene and bibenzyl enantiomers from Bletilla striata with their antineuroinflammatory and cytotoxic activities
Fig. 1. Structures of compounds 1–25.
Fig. 2 in Phenanthrene, 9,10-dihydrophenanthrene and bibenzyl enantiomers from Bletilla striata with their antineuroinflammatory and cytotoxic activities
Fig. 2. Key HMBC (→) and COSY (bold) correlations of compounds 1, 2, 4, 7, 9, 11 and 13.
Fig. 5 in Phenanthrene, 9,10-dihydrophenanthrene and bibenzyl enantiomers from Bletilla striata with their antineuroinflammatory and cytotoxic activities
Fig. 5. Plausible Biogenetic Pathway of Compounds 1–13.
Fig. 3 in Phenanthrene, 9,10-dihydrophenanthrene and bibenzyl enantiomers from Bletilla striata with their antineuroinflammatory and cytotoxic activities
Fig. 3. Key NOESY/ROESY correlations of compounds 1, 2, 4, 7, 9–11, and 13.
Functional categorization of transcriptome in the species Symphysodon aequifasciatus Pellegrin 1904 (Perciformes: Cichlidae) exposed to benzo[a]pyrene and phenanthrene
GEO Series GSE51149. Symphysodon aequifasciata. 2 samples. Type: Expression profiling by high throughput sequencing.
Biofilms of the PAH-degrading Sphingomonas sp. LH128 on solute stress when actively degrading and growing on phenanthrene
GEO Series GSE38296. Sphingomonas sp. LH128. 9 samples. Type: Expression profiling by array.
Deuterated Phenanthrene Tetraol in Smokers Who Are at High Risk For Lung Cancer
ClinicalTrials.gov study NCT01673711. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Vaped Phenanthrene
ClinicalTrials.gov study NCT07134426. IPD Sharing: NO. Countries: 1. Publications: 0.
Folsomia candida exposed to soil containing different phenanthrene concentrations
GEO Series GSE14207. Folsomia candida. 8 samples. Type: Expression profiling by array.
Response of Arabidopsis thaliana to phenanthrene
GEO Series GSE20009. Arabidopsis thaliana. 5 samples. Type: Expression profiling by array.
Impact of sucrose on the tolerance of phenanthrene-phytoremediation
GEO Series GSE48181. Arabidopsis thaliana. 44 samples. Type: Expression profiling by array.
Investigating the changes in gene expression of liver tissue exposed to phenanthrene over 72hr
GEO Series GSE44840. Pimephales promelas. 28 samples. Type: Expression profiling by array.
The effects of waterbourne phenanthrene exposure on teleost hypothalamic transcriptome
GEO Series GSE85993. Pimephales promelas. 47 samples. Type: Expression profiling by array.
Transcriptomic study of Sphingomonas sp. LH128 inoculated into phenanthrene-contaminated soil
GEO Series GSE41705. Sphingomonas sp. LH128. 9 samples. Type: Expression profiling by array.
The effects of different concentrations of phenanthrene on FHM liver
GEO Series GSE44839. Pimephales promelas. 20 samples. Type: Expression profiling by array.
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