Literature DB >> 11878589

Multielemental analysis of food and agricultural matrixes by inductively coupled plasma-mass spectrometry.

Francesco Cubadda1, Andrea Raggi, Antonella Testoni, Fabio Zanasi.   

Abstract

The suitability of quadrupole inductively coupled plasma-mass spectrometry (ICP-MS) for multielemental analysis of food following microwave closed vessel digestion of samples was evaluated in relation to analytical challenges presented by some major food and agricultural matrixes. Fifteen key analytes (Al, As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, Se, Sn, V, Zn) were determined in 9 reference materials representative of 3 major groups of staple foods (cereals, seafood, and meat). For all measurements, the method of external calibration was used and Rh was selected as internal standard. Matrix-induced interferences were evaluated for each material, and suitable methods to overcome them were applied. Spectral interferences caused by C, Cl, and Ca content of digestates were quantitated and corrected by entering a simple system of mathematical correction equations into the instrument software before each analytical run. Full mastering of interferences together with adoption of a series of measures to control the reliability of analytical measurements produced accurate results for all the analytes. A standard analytical protocol is outlined for the benefit of both research and routine high-throughput laboratories that perform ICP-MS analyses of food.

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Year:  2002        PMID: 11878589

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  2 in total

1.  Genetic Dissection of ICP-Detected Nutrient Accumulation in the Whole Seed of Common Bean (Phaseolus vulgaris L.).

Authors:  Matthew Wohlgemuth Blair; Xingbo Wu; Devendra Bhandari; Carolina Astudillo
Journal:  Front Plant Sci       Date:  2016-03-08       Impact factor: 5.753

2.  Effectiveness of Different Sample Treatments for the Elemental Characterization of Bees and Beehive Products.

Authors:  Maria Luisa Astolfi; Marcelo Enrique Conti; Elisabetta Marconi; Lorenzo Massimi; Silvia Canepari
Journal:  Molecules       Date:  2020-09-17       Impact factor: 4.411

  2 in total

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