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Simple, fast and inexpensive large "whole water" volume sample SPE-loading using compressed air and finely ground sand
Kristianstad University, Plattformen för molekylär analys. Kristianstad University, Faculty of Natural Science, Avdelningen för miljö- och biovetenskap. Kristianstad University, Faculty of Natural Science, Research environment MoLab.
Kristianstad University, Plattformen för molekylär analys. Kristianstad University, Faculty of Natural Science, Avdelningen för miljö- och biovetenskap. Kristianstad University, Faculty of Natural Science, Research environment MoLab.ORCID iD: 0000-0003-2283-2927
2019 (English)In: Analytical Methods, ISSN 1759-9660, E-ISSN 1759-9679, Vol. 11, no 7, p. 894-896Article in journal (Refereed) Published
Abstract [en]

In environmental trace analysis there is often a need to enrich the compounds of interest from a large sample volume, where the use of solid phase extraction (SPE) is more or less the standard technique. The presence of the sample matrix can cause clogging of the SPE-column, especially at the end of a sample load. Swedish surface waters are often humic rich making the use of traditional sample loading by a vacuum manifold very limited. This obstacle forced the development of a different sample loading technique, based on compressed air and sand as an in-line-filter, designed to load larger sample volumes as needed in trace level analysis of hormones in surface water. The developed technique, combined with a UPLC MS/MS method, showed promising reproducibility and accuracy, and enabled increased sensitivity for the analysis of hormones in humic rich surface water.

Place, publisher, year, edition, pages
2019. Vol. 11, no 7, p. 894-896
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Chemical Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:hkr:diva-19112DOI: 10.1039/c8ay02786bISI: 000458808900003OAI: oai:DiVA.org:hkr-19112DiVA, id: diva2:1292364
Available from: 2019-02-28 Created: 2019-02-28 Last updated: 2019-06-28Bibliographically approved

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Svahn, OlaBjörklund, Erland

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Plattformen för molekylär analysAvdelningen för miljö- och biovetenskapResearch environment MoLab
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