An interlaboratory comparison for the quantification of aqueous dimethylsulfide. (21st November 2014)

• Record Type: Journal Article
• Authors: Swan, Hilton B.; Armishaw, Paul; Iavetz, Raluca; Alamgir, Mahiuddin; Davies, Stephen R.; Bell, Thomas G.; Jones, Graham B.
• Is Part Of: Limnology and oceanography, methods. Volume 12:Number 11(2014:Nov.)
• Page Start: 784
• Page End: 794
• Publication Date: 2014-11-21
• Subjects: Limnology -- Methodology -- Periodicals; Oceanography -- Methodology -- Periodicals; 551.48
• DOI: 10.4319/lom.2014.12.784
• Languages: English
• ISSNs: 1541-5856

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>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.</p> </abstract>