Title:
Development of quantitative structure-activity relationship for prediction of biological effects of nanoparticles associated with semiconductor industries
Development of quantitative structure-activity relationship for prediction of biological effects of nanoparticles associated with semiconductor industries
dc.contributor.author | Chen, Yongsheng | |
dc.contributor.author | Li, Kungang | |
dc.contributor.author | Zhang, Wen | |
dc.contributor.author | Li, Yang | |
dc.contributor.corporatename | Georgia Institute of Technology. Office of Sponsored Programs | en_US |
dc.contributor.corporatename | Georgia Institute of Technology. School of Civil and Environmental Engineering | en_US |
dc.contributor.corporatename | Beijing Normal University. Department of Science and Environmental Engineering | en_US |
dc.date.accessioned | 2019-04-25T13:47:30Z | |
dc.date.available | 2019-04-25T13:47:30Z | |
dc.date.issued | 2012-03 | |
dc.description | Issued as final report | en_US |
dc.description.abstract | Our work aims at development of fundamental understanding of cytotoxicity of semiconductor NPs to human health and provides a comprehensive database and clear definition of ESH-problematic manufactured nanomaterials. Based on the quantitative structure-activity relationship (QSAR) model we plan to establish, problematic nanomateirals from industrial manufacturers could be predicted, identified, and effectively modified to produce environmental benign semiconductor nanomaterials. | en_US |
dc.description.sponsorship | University of Arizona | en_US |
dc.identifier.uri | http://hdl.handle.net/1853/61003 | |
dc.language.iso | en_US | en_US |
dc.publisher | Georgia Institute of Technology | en_US |
dc.relation.ispartofseries | School of Civil and Environmental Engineering ; Project no. 112473 | en_US |
dc.subject | Engineered nanoparticles | en_US |
dc.subject | Semiconductor nanomaterials | en_US |
dc.subject | Cytotoxicity | en_US |
dc.subject | Nanotoxicity | en_US |
dc.title | Development of quantitative structure-activity relationship for prediction of biological effects of nanoparticles associated with semiconductor industries | en_US |
dc.type | Text | |
dc.type.genre | Technical Report | |
dspace.entity.type | Publication | |
local.contributor.author | Chen, Yongsheng | |
local.contributor.corporatename | School of Civil and Environmental Engineering | |
relation.isAuthorOfPublication | 07477536-9f7c-4580-988f-d21ea0e72e97 | |
relation.isOrgUnitOfPublication | 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c |
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