Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/48244
Title: A need for determination of arsenic species at low levels in cereal-based food and infant cereals. Validation of a method by LC-ICPMS.
Author: Llorente-Mirandes, Toni
Calderon, Josep
Centrich, F.
Rubio i Rovira, Roser
López Sánchez, José Fermín
Keywords: Arsènic
Compostos inorgànics
Cereals (Aliment)
Alimentació infantil
Química dels aliments
Espectrometria de masses de plasma acoblat inductivament
Arsenic
Inorganic compounds
Grain (feed)
Child nutrition
Food chemistry
Inductively coupled plasma mass spectrometry
Issue Date: 5-Oct-2013
Publisher: Elsevier B.V.
Abstract: The present study arose from the need to determine inorganic arsenic (iAs) at low levels in cereal-based food. Validated methods with a low limit of detection (LOD) are required to analyse these kinds of food. An analytical method for the determination of iAs, methylarsonic acid (MA) and dimethylarsinic acid (DMA) in cereal-based food and infant cereals is reported. The method was optimised and validated to achieve low LODs. Ion chromatography-inductively coupled plasma mass spectrometry (LC-ICPMS) was used for arsenic speciation. The main quality parameters were established. To expand the applicability of the method, different cereal products were analysed: bread, biscuits, breakfast cereals, wheat flour, corn snacks, pasta and infant cereals. The total and inorganic arsenic content of 29 cereal-based food samples ranged between 3.7-35.6 and 3.1-26.0 microg As kg-1, respectively. The present method could be considered a valuable tool for assessing inorganic arsenic contents in cereal-based foods.
Note: Versió postprint del document publicat a: http://dx.doi.org/10.1016/j.foodchem.2013.09.138
It is part of: Food Chemistry, 2013, vol. 147, p. 377-385
Related resource: http://dx.doi.org/10.1016/j.foodchem.2013.09.138
URI: http://hdl.handle.net/2445/48244
ISSN: 0308-8146
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

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