Optimisation of the separation of herbicides by linear gradient high performance liquid chromatography utilising artificial neural networks

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dc.contributor.author Tran, Thi Kieu en_US
dc.contributor.author Hyne, Ross en_US
dc.contributor.author Pablo, Fleur en_US
dc.contributor.author Day, Walter en_US
dc.contributor.author Doble, Philip en_US
dc.date.accessioned 2009-06-26T04:10:55Z
dc.date.available 2009-06-26T04:10:55Z
dc.date.issued 2007 en_US
dc.identifier 2006011483 en_US
dc.identifier.citation Tran Thi Kieu et al. 2007, 'Optimisation of the separation of herbicides by linear gradient high performance liquid chromatography utilising artificial neural networks', Elsevier Science Bv, vol. 71, no. 3, pp. 1268-1275. en_US
dc.identifier.issn 0039-9140 en_US
dc.identifier.other C1 en_US
dc.identifier.uri http://hdl.handle.net/10453/624
dc.description.abstract An artificial neural network (ANN) was employed to model the chromatographic response surface for the linear gradient separation of 10 herbicides that are commonly detected in storm run-off water in agricultural catchments. The herbicides (dicamba, simaz en_US
dc.publisher Elsevier Science Bv en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/j.talanta.2006.06.031 en_US
dc.title Optimisation of the separation of herbicides by linear gradient high performance liquid chromatography utilising artificial neural networks en_US
dc.parent Talanta en_US
dc.journal.volume 71 en_US
dc.journal.number 3 en_US
dc.publocation Amsterdam, Netherlands en_US
dc.identifier.startpage 1268 en_US
dc.identifier.endpage 1275 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 039900 en_US
dc.personcode 10090684 en_US
dc.personcode 100467 en_US
dc.personcode 0000020122 en_US
dc.personcode 99030482 en_US
dc.personcode 010494 en_US
dc.percentage 100 en_US
dc.classification.name Other Chemical Sciences en_US
dc.classification.type FOR-08 en_US
dc.description.keywords artificial neural network (ANN), polar herbicides, HPLC, photodiode array, solid-phase extraction en_US
dc.staffid 010494 en_US


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