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dc.contributor.authorUtembe, Wells
dc.contributor.authorWepener, Victor
dc.contributor.authorYu, Il Je
dc.contributor.authorGulumian, Mary
dc.date.accessioned2018-11-13T12:31:41Z
dc.date.available2018-11-13T12:31:41Z
dc.date.issued2018
dc.identifier.citationUtembe, W. et al. 2018. An assessment of applicability of existing approaches to predicting the bioaccumulation of conventional substances in nanomaterials. Environmental toxicology and chemistry, (In press). [https://doi.org/10.1002/etc.4253]en_US
dc.identifier.issn0730-7268
dc.identifier.issn1552-8618 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/31697
dc.identifier.urihttps://doi.org/10.1002/etc.4253
dc.description.abstractThe experimental determination of bioaccumulation is challenging, and a number of approaches have been developed for its prediction. It is important to assess the applicability of these predictive approaches to nanomaterials (NMs), which have been shown to bioaccumulate. The octanol/water partition coefficient (KOW) may not be applicable to some NMs that are not found in either the octanol or water phases but rather are found at the interface. Thus the KOW values obtained for certain NMs are shown not to correlate well with the experimentally determined bioaccumulation. Implementation of quantitative structure–activity relationships (QSARs) for NMs is also challenging because the bioaccumulation of NMs depends on nano-specific properties such as shape, size, and surface area. Thus there is a need to develop new QSAR models based on these new nanodescriptors; current efforts appear to focus on digital processing of NM images as well as the conversion of surface chemistry parameters into adsorption indices. Water solubility can be used as a screening tool for the exclusion of NMs with short half-lives. Adaptation of fugacity/aquivalence models, which include physicochemical properties, may give some insights into the bioaccumulation potential of NMs, especially with the addition of a biota component. The use of kinetic models, including physiologically based pharmacokinetic models, appears to be the most suitable approach for predicting bioaccumulation of NMs. Furthermore, because bioaccumulation ofNMsdepends on a number of biotic and abiotic factors, it is important to take these factors into account when one is modeling bioaccumulation and interpreting bioaccumulation resultsen_US
dc.language.isoenen_US
dc.publisherSetacen_US
dc.subjectNanomaterialsen_US
dc.subjectBioaccumulationen_US
dc.subjectModelingen_US
dc.titleAn assessment of applicability of existing approaches to predicting the bioaccumulation of conventional substances in nanomaterialsen_US
dc.typeArticleen_US
dc.contributor.researchID12579769 - Wepener, Victor


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