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Results for “TOXICITY”

Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 1,063 records · Page 59
All sourcesNASA NTRSDOE OSTI
DOE OSTI2013

Reduction of U(VI) and toxic metals by Desulfovibrio cytochrome c 3

The central objective of our proposed research was twofold: 1) to investigate the structure-function relationship of Desulfovibrio desulfuricans (now Desulfovibrio alaskensis G20) cytochrome c 3 with uranium and 2) to elucidate the mechanism for uranium reduction in vitro and in vivo. Physiological analysis of a mutant of D. desulfuricans with a mutation of the gene encoding the type 1 tetraheme cytochrome c 3 had demonstrated that uranium reduction was negatively impacted while sulfate reduction was not if lactate were the electron donor. This was thought to be due to the presence of a branched pathway of electron flow from lactate leading to sulfate reduction. Our experimental plan was to elucidate the structural and mechanistic details of uranium reduction involving cytochrome c 3 .

08 HYDROGEN↗
DOE OSTI2015

NMSBA: Aken Technologies Final Report: Toxicity Testing of Liquidoff

To determine the effect of Liquidoff on bacteria, three bacterial strains were tested: Escherichia coli DH5α, Synechococcus sp. PCC 7002, and Synechococcus elongatus PCC 7942. E. coli DH5α is a Gram-negative, aerobic bacterium that is often found in normal gut flora and is commonly used the laboratory due to its fast growth rate. Synechococcus sp. PCC 7002 and S. elongatus PCC 7942 are Gram-negative, aquatic, autophototrophic cyanobacteria. Synechococcus sp. PCC 7002 is a marine cyanobacterium isolated from ‘fish pens’ on Magueyes Island, Puerto Rico in 1962, while S. elongatus PCC 7942 is a freshwater cyanobacterium. It should be noted that no Gram-positive bacterium was tested in this study.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2016

Fish Toxicity Non-Hazardous Waste GAC Data

Attached are the test data generated from the analysis of the Fathead Minnow Hazardous Waste Screen bioassay sample. All testing was conducted under the direct supervision of Joseph A. LeMay.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2019

Metabolic Mechanisms of Naphthalene Toxicity in Lung

The objective of this project at LLNL was to test the hypothesis that naphthalene (NA) metabolites will form covalent adducts with DNA. Demonstration of NA DNA adducts drives the risk estimation because this mechanism of action is not considered to have a threshold and is tightly linked to carcinogenesis. However, proving that NA does NOT stably adduct DNA is equally important because it refocuses the studies on other mechanisms of carcinogenesis. What is critically needed, and is uniquely approachable now with new methods, is a species comparison of NA genotoxicity in the lung to provide clear data on this mode of action that is intimately related to the potential for human risk. Further, these studies provided important methodology and approaches for testing other potential DNA adducting carcinogens in the lung.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2025

Finch: Toxicity Dose Response Curve Prediction of Chemical Compounds and Mixtures

A paradigm shift in chemical risk assessment is emphasizing mixture testing over single compound analysis, eliminating animal testing, and adopting advanced modeling approaches to understand mixture activity profiles. However, existing computational models largely focus on single chemicals, with few effective solutions for modeling complex mixtures that account for synergistic or antagonistic effects and multiple Modes of Action (MoA). Conventional methods like concentration addition (CA) and independent action (IA) are insufficient for this task as they are designed for simplistic interactions and struggle to account for the dynamic and multifaceted nature of chemical mixtures, such as overlapping MoA and non-linear interactions. Finch offers a novel approach utilizing deep learning (DL) embeddings and multi-task quantitative structure-activity relationship (QSAR) models to improve chemical exposure prediction. By leveraging molecular descriptors, physiochemical properties, and large language model (LLM) embeddings from SMILES inputs, Finch preserves critical information in a latent space thereby enhancing predictive accuracy. The multi-task learning aspect of Finch is highly advantageous, as it simultaneously optimizes multiple loss functions, leveraging all available data across tasks to develop generalized representations that effectively capture complex ingredient interactions within mixtures.

59 BASIC BIOLOGICAL SCIENCES↗
DOE OSTI2019

Toxic consequences of a sodium fire in a FFTF dump heat exchanger (Initial release 02-11-2000)

A calculation of sodium aerosol concentrations at the site boundary. This would result from a worse case DHX module tube leak with the reactor operating, DHX fans running, and module dampers open. Resulting site boundary concentrations are less than the risk guidelines for an extremely unlikely event. This will be used in an upcoming revision of the FFTF FSAR and FHA Sodium Fire Analyses.

DHX↗