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dc.contributor.authorBoer JLM de
dc.contributor.authorNagtegaal NW
dc.contributor.authorPiso S
dc.contributor.authorBeek ACW van de
dc.date.accessioned2012-12-12T22:50:22Z
dc.date.available2012-12-12T22:50:22Z
dc.date.issued1993-09-30
dc.identifier502501010
dc.identifier.urihttp://hdl.handle.net/10029/261786
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractIn this study four methods for the determination of arsenic in groundwater were compared. These methods were graphite furnace AAS, batch-hydride generation AAS, flow injection hydride generation AAS and ICP-MS. For hydride generation AAS four different sample preparation procedures were applied. The comparison was carried out using conventional linear regression and Deming linear regression. All methods performed about equal. Sample preparation for flow injection hydride generation could be simple. A prereduction step was sufficient. Detection limits were the lowest for batch hydride generation AAS while the measurement range was the largest for ICP-MS. Flow injection hydride generation AAS was the fastest method. A mathematical correction procedure for the interference of ArCl+ in the ICP-MS determination of arsenic was shown to be successful up to a chloride concentration of 100 mg/l.
dc.description.sponsorshipRIVM
dc.format.extent26 p
dc.language.isoen
dc.relation.ispartofRIVM Rapport 502501010
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/502501010.html
dc.subject18nl
dc.titleThe determination of arsenic in groundwater with graphite furnace AAS, hydride generation AAS and ICP-MS. A comparison using conventional linear regression and Deming regression analysisen
dc.title.alternative[De bepaling van arseen in grondwater met grafietoven-AAS, hydride generatie AAS en ICP-MS. Een vergelijking met behulp van conventionele lineaire regressie analyse en Deming regressie analyse.]nl
dc.typeReport
dc.date.updated2012-12-12T22:50:22Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractIn this study four methods for the determination of arsenic in groundwater were compared. These methods were graphite furnace AAS, batch-hydride generation AAS, flow injection hydride generation AAS and ICP-MS. For hydride generation AAS four different sample preparation procedures were applied. The comparison was carried out using conventional linear regression and Deming linear regression. All methods performed about equal. Sample preparation for flow injection hydride generation could be simple. A prereduction step was sufficient. Detection limits were the lowest for batch hydride generation AAS while the measurement range was the largest for ICP-MS. Flow injection hydride generation AAS was the fastest method. A mathematical correction procedure for the interference of ArCl+ in the ICP-MS determination of arsenic was shown to be successful up to a chloride concentration of 100 mg/l.


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