reference/36617842

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/36617842

Outgoing Links

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contentType	Journal Article
issn	0166-445X
pageRange	106826-
publicationName	Aquatic toxicology (Amsterdam, Netherlands)
startingPage	106826
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bibliographicCitation	Chandrasekaran K, Kakani V, Kokkarachedu V, Abdulrahman Syedahamed HH, Palani S, Arumugam S, Shanmugam A, Kim S, Kim K. Toxicological assessment of divalent ion-modified ZnO nanomaterials through artificial intelligence and in vivo study. Aquat Toxicol. 2024 Feb;267():106826. doi: 10.1016/j.aquatox.2023.106826. PMID: 38219502.
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date	202402
identifier	https://pubmed.ncbi.nlm.nih.gov/38219502 https://doi.org/10.1016/j.aquatox.2023.106826
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language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Toxicological assessment of divalent ion-modified ZnO nanomaterials through artificial intelligence and in vivo study
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Total number of triples: 42.