Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/102133
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dc.contributor.authorJanik, L.-
dc.contributor.authorForrester, S.-
dc.contributor.authorSoriano-Disla, J.-
dc.contributor.authorKirby, J.-
dc.contributor.authorMcLaughlin, M.-
dc.contributor.authorReimann, C.-
dc.contributor.authorThe GEMAS Project Team,-
dc.date.issued2015-
dc.identifier.citationEnvironmental Toxicology and Chemistry, 2015; 34(2):224-234-
dc.identifier.issn1552-8618-
dc.identifier.issn1552-8618-
dc.identifier.urihttp://hdl.handle.net/2440/102133-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityLeslie J. Janik, Sean T. Forrester, José M. Soriano-Disla, Jason K. Kirby, Michael J. McLaughlin, Clemens Reimann and the GEMAS Project Team-
dc.language.isoen-
dc.publisherWiley-
dc.rights© 2014 SETAC-
dc.source.urihttp://dx.doi.org/10.1002/etc.2736-
dc.subjectCations; solid-solution partitioning coefficients (Kd); mid-infrared spectroscopy; partial least squares regression; soil-
dc.titleGEMAS: prediction of solid-solution partitioning coefficients (Kd ) for cationic metals in soils using mid-infrared diffuse reflectance spectroscopy.-
dc.typeJournal article-
dc.identifier.doi10.1002/etc.2736-
pubs.publication-statusPublished-
dc.identifier.orcidMcLaughlin, M. [0000-0001-6796-4144]-
Appears in Collections:Agriculture, Food and Wine publications
Aurora harvest 7

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