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Sample pre-treatment to eliminate cationic methylated arsenic for determining arsenite on an anion-exchange column by high performance liquid chromatography-inductively coupled plasma mass spectrometry

Huang, Jen-How and Ilgen, Gunter and Decker, Berryinne. (2008) Sample pre-treatment to eliminate cationic methylated arsenic for determining arsenite on an anion-exchange column by high performance liquid chromatography-inductively coupled plasma mass spectrometry. Analytica Chimica Acta, 611 (1). pp. 48-55.

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Official URL: http://edoc.unibas.ch/49059/

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Abstract

Co-elution of cationic methylated arsenic, e.g. arsenobetaine may interfere with the determination of arsenite on the Hamilton PRP-X100 anion-exchange column using a phosphate buffer isocratically. Therefore, a sample pre-treatment method with self-packed AG MP-50 cation-exchange cartridges was proposed, which enables the arsenite determination in samples containing arsenobetaine on a PRP-X100 column using a phosphate buffer (pH 5.6) isocratically. Methylated arsenic, including dimethylarsinic acid, trimethylarsine oxide, tetramethylarsonium ion, arsenobetaine and arsenocholine, with concentrations below 1000 μg As L−1, may be completely retained in the AG MP-50 cartridge without any changes of arsenite, arsenate and monomethylarsonic acid speciation. Such retention was independent of the pH and matrix. It is proposed to be based on hydrophobic interaction. With the help of AG MP-50 cartridges, 11 arsenic species were detected in fish (DORM-2), mussels (BCR-477) and red algae (Porphyra tenera) in 10 min on the PRP-X100 column using a phosphate buffer isocratically. Arsenite was the only minor species (up to 0.9%) among all water extractable arsenic species in fish, mussel and red algae.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Geowissenschaften > Umweltgeowissenschaften (Alewell)
UniBasel Contributors:Huang, Jen-How
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:0003-2670
e-ISSN:1873-4324
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:29 Nov 2017 07:29
Deposited On:29 Nov 2017 07:29

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