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<pubDate xmlns="http://apache.org/cocoon/i18n/2.1">Mon, 16 Mar 2026 02:25:52 GMT</pubDate>
<dc:date>2026-03-16T02:25:52Z</dc:date>
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<title>Impact of copper nanoparticles on porcine neutrophils: ultrasensitive characterization factor combining chemiluminescence information and USEtox assessment model</title>
<link>http://hdl.handle.net/10985/11618</link>
<description>Impact of copper nanoparticles on porcine neutrophils: ultrasensitive characterization factor combining chemiluminescence information and USEtox assessment model
PU, Yubing; LARATTE, Bertrand; MARKS, Robert; IONESCU, Rodica Elena
There is a need by the European Commission (EC) regulations, as well as others, to reduce the in vivo toxicity tests made on animals. Conventional in vitro tests were designed for non-nanoparticle sized entities, and therefore do not necessarily assess the adverse impacts of engineered nanoparticles (ENPs) on humans. Life cycle assessment (LCA) is a widely used methodology for evaluating the environmental performance of products. Nevertheless, the application of LCA on ENPs is difficult because the characterization factors (CFs) of ENPs, as significant input parameters in LCA, remain a major unknown. It is a premise of this study to monitor the chemiluminescence (CL) spectra resulting from the reactive oxygen species (ROS) trigger made from the presence of copper nanoparticles (CuNPs) to porcine neutrophils in vitro, thereby enabling to calculate the porcine and human toxicity CFs. The framework of a scientific consensus model, USEtox model, is selected and the midpoint of CF is set as the inflammation of pig or human. Finally, the present study recommends human and porcine inflammation CFs of CuNPs in Europe to be 1.07 and 2.90 CTU (comparative toxic units) respectively.
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<pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/11618</guid>
<dc:date>2017-01-01T00:00:00Z</dc:date>
<dc:creator>PU, Yubing</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>MARKS, Robert</dc:creator>
<dc:creator>IONESCU, Rodica Elena</dc:creator>
<dc:description>There is a need by the European Commission (EC) regulations, as well as others, to reduce the in vivo toxicity tests made on animals. Conventional in vitro tests were designed for non-nanoparticle sized entities, and therefore do not necessarily assess the adverse impacts of engineered nanoparticles (ENPs) on humans. Life cycle assessment (LCA) is a widely used methodology for evaluating the environmental performance of products. Nevertheless, the application of LCA on ENPs is difficult because the characterization factors (CFs) of ENPs, as significant input parameters in LCA, remain a major unknown. It is a premise of this study to monitor the chemiluminescence (CL) spectra resulting from the reactive oxygen species (ROS) trigger made from the presence of copper nanoparticles (CuNPs) to porcine neutrophils in vitro, thereby enabling to calculate the porcine and human toxicity CFs. The framework of a scientific consensus model, USEtox model, is selected and the midpoint of CF is set as the inflammation of pig or human. Finally, the present study recommends human and porcine inflammation CFs of CuNPs in Europe to be 1.07 and 2.90 CTU (comparative toxic units) respectively.</dc:description>
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<item>
<title>Freshwater Sediment Characterization Factors of Copper Oxide Nanoparticles</title>
<link>http://hdl.handle.net/10985/11619</link>
<description>Freshwater Sediment Characterization Factors of Copper Oxide Nanoparticles
PU, Yubing; LARATTE, Bertrand; IONESCU, Rodica Elena
Wide use of engineered nanoparticles (ENPs) is likely to result in the eventually accumulation of ENPs in sediment. The benthic organisms living in sediments may suffer relatively high toxic effects of ENPs. This study has selected copper oxide nanoparticles (nano-CuO) as a research object. To consider the impacts of spatial heterogeneity on ENPs toxicity, the characterization factor (CF) derived from life cycle assessment (LCA) methodology is used as an indicator in this study. A nano-specific fate model has been used to calculate the freshwater sediment fate factor (FF) of nano-CuO. A literature survey of the nano-CuO toxicology values has been performed to calculate the effect factor (EF). Seventeen freshwater sediment CFs of nano-CuO are proposed as recommended values for subcontinental regions. The region most likely to be affected by nano-CuO is northern Australia (CF of 21.01·10^3 CTUe, comparative toxic units) and the least likely is northern Europe and northern Canada (CF of 8.55·10^3 CTUe). These sediment CFs for nano-CuO could be used in the future when evaluating the ecosystem impacts of products containing nano-CuO by LCA method.
</description>
<pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/11619</guid>
<dc:date>2017-01-01T00:00:00Z</dc:date>
<dc:creator>PU, Yubing</dc:creator>
<dc:creator>LARATTE, Bertrand</dc:creator>
<dc:creator>IONESCU, Rodica Elena</dc:creator>
<dc:description>Wide use of engineered nanoparticles (ENPs) is likely to result in the eventually accumulation of ENPs in sediment. The benthic organisms living in sediments may suffer relatively high toxic effects of ENPs. This study has selected copper oxide nanoparticles (nano-CuO) as a research object. To consider the impacts of spatial heterogeneity on ENPs toxicity, the characterization factor (CF) derived from life cycle assessment (LCA) methodology is used as an indicator in this study. A nano-specific fate model has been used to calculate the freshwater sediment fate factor (FF) of nano-CuO. A literature survey of the nano-CuO toxicology values has been performed to calculate the effect factor (EF). Seventeen freshwater sediment CFs of nano-CuO are proposed as recommended values for subcontinental regions. The region most likely to be affected by nano-CuO is northern Australia (CF of 21.01·10^3 CTUe, comparative toxic units) and the least likely is northern Europe and northern Canada (CF of 8.55·10^3 CTUe). These sediment CFs for nano-CuO could be used in the future when evaluating the ecosystem impacts of products containing nano-CuO by LCA method.</dc:description>
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