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Complex metal oxide nanomaterials, like LiCoO2 (LCO) nanosheets, are among the most widespread classes of nanomaterials on the market. Their ubiquitous application in battery storage technology drives their production to rates of environmental significance without sufficient infrastructure for proper disposal/recycling, thus posing a risk to ecosystem health and sustainability. This study assesses the general toxicological impacts of LCO when exposed to Raphidocelis subcapitata; physiological endpoints relating to growth and energy production are considered. Algal growth inhibition was significantly increased at concentrations as low as 0.1 µg·mL?1, while exhibiting an EC50 of 0.057 µg·mL?1. The average biovolume of cells were significantly enlarged at 0.01 µg·mL?1, thus indicating increased instances of cell cycle arrest in LCO-treated cells. Additionally, LCO-treated cells produced significantly less carbon biomass while significantly overproducing neutral lipid content starting at 0.1 µg·mL?1, thus indicating interference with CO2 assimilation chemistry and/or carbon partitioning. However, the relative abundance of chlorophyll was significantly increased, likely to maximize light harvesting and compensate for photosynthetic interference. Cells that were treated with dissolved Li+/Co2+ ions did not significantly impact any of the endpoints tested, suggesting LCO phytotoxicity is mainly induced through nano-specific mechanisms rather than ion-specific. These results indicate that this type of nanomaterial can significantly impact the way this algae proliferates, as well as the way it produces and stores its energy, even at lower, sublethal, concentrations. Furthermore, impairments to crucial cellular pathways, like carbon assimilation, could potentially cause implications at the ecosystem level. Thus, in future work, it will be important to characterize the molecular mechanisms of LCO at the nano-bio interface.This article is protected by copyright. All rights reserved. Environ Toxicol Chem 2023;00:0?0. ? 2023 SETAC.
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Predicting the phytotoxic mechanism of action of LiCoO 2 nanomaterials using a novel multiplexed algal cytological imaging (MACI) assay and machine learning
Currently, there is a lack of knowledge of how complex metal oxide nanomaterials, like LiCoO2 (LCO) nanosheets, interact with eukaryotic green algae. Previously, LCO was reported to cause a number of physiological impacts to Raphidocelis subcapitata including endpoints related to growth, reproduction, pigment & lipid biosynthesis, and carbon biomass assimilation. Furthermore, LCO was proven to physically enter the cells, thus indicating the possibility for it to directly interact with key subcellular components. However, the mechanisms through which LCO interacts with these key subcellular components is still unknown. This study assesses the interactions of LCO at the biointerface of R. subcapitata using a novel multiplexed algal cytological imaging (MACI) assay and machine learning in order to predict its phytotoxic mechanism of action (MoA). Algal cells were exposed to varying concentrations of LCO, and their phenotypic profiles were compared to that of cells treated with reference chemicals which had already established MoAs. Hierarchical clustering and machine learning analyses indicated photosynthetic electron transport to be the most probable phytotoxic MoA of LCO. Additionally, single-cell chlorophyll fluorescence results demonstrated an increase in irreversibly oxidized photosystem II proteins. Lastly, LCO-treated cells were observed to have less nuclei/cell and less DNA content/nucleus when compared to non-treated cell controls.
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- Award ID(s):
- 2001611
- PAR ID:
- 10485233
- Publisher / Repository:
- The Royal Society of Chemistry
- Date Published:
- Journal Name:
- Environmental Science: Nano
- ISSN:
- 2051-8153
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1039/D3EN00629H
