An interlaboratory comparison for the quantification of aqueous dimethylsulfide

Limnology and Oceanography: Methods - Tập 12 Số 11 - Trang 784-794 - 2014
Hilton B. Swan1,2, Paul Armishaw1, Raluca Iavetz1, Mahiuddin Alamgir1, Stephen Davies1, Thomas G. Bell3, Graham B. Jones2
1National Measurement Institute, Chemical and Biological Metrology, North Ryde, NSW, Australia
2Southern Cross University, School of Environment, Science and Engineering, Marine Ecology Research Centre, Lismore NSW, Australia
3Plymouth Marine Laboratory, Prospect Place, Plymouth, PL1 3DH, UK

Tóm tắt

An interlaboratory comparison (ILC) was conducted to evaluate the proficiency of multiple laboratories to quantify dimethylsulfide (DMS) in aqueous solution. Ten participating laboratories were each supplied with blind duplicate test solutions containing dimethylsulfoniopropionate hydrochloride (DMSP HCl) dissolved in acidified artificial seawater. The test solutions were prepared by the coordinating laboratory from a DMSP HCl reference material that was synthesized and purity certified for this purpose. A concentration range was specified for the test solutions and the participating laboratories were requested to dilute them as required for their analytical procedure, together with the addition of excess alkali under gas‐tight conditions to convert the DMSP to DMS. Twenty‐two DMS concentrations and their estimated expanded measurement uncertainties (95% confidence level) were received from the laboratories. With two exceptions, the within‐laboratory variability was 5% or less and the between‐laboratory variability was ~ 25%. The magnitude of expanded measurement uncertainties reported from all participants ranged from 1% to 33% relative to the result. The information gained from this pilot ILC indicated the need for further test sample distribution studies of this type so that participating laboratories can identify systematic errors in their analysis procedures and realistically evaluate their measurement uncertainty. The outcome of ILC studies provides insights into the comparability of data in the global surface seawater DMS database.

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