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Relevance for food sciences of quantitative spatially resolved element profile investigations in wheat ( Triticum aestivum ) grain
Author(s) -
Paula Pongrac,
Ivan Kreft,
Katarina VogelMikuš,
Marjana Regvar,
Mateja Germ,
Primož Vavpetič,
Nataša Grlj,
Luka Jeromel,
Diane Eichert,
Bojan Budič,
Primož Pelicon
Publication year - 2013
Publication title -
journal of the royal society interface
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.655
H-Index - 139
eISSN - 1742-5689
pISSN - 1742-5662
DOI - 10.1098/rsif.2013.0296
Subject(s) - wheat grain , grain size , trace element , inductively coupled plasma mass spectrometry , inductively coupled plasma , analytical chemistry (journal) , mass spectrometry , chemistry , materials science , environmental chemistry , metallurgy , plasma , agronomy , chromatography , physics , quantum mechanics , biology
Bulk element concentrations of whole grain and element spatial distributions at the tissue level were investigated in wheat (Triticum aestivum) grain grown in Zn-enriched soil. Inductively coupled plasma mass spectrometry and inductively coupled plasma optical emission spectrometry were used for bulk analysis, whereas micro-proton-induced X-ray emission was used to resolve the two-dimensional localization of the elements. Soil Zn application did not significantly affect the grain yield, but did significantly increase the grain Ca, Fe and Zn concentrations, and decrease the grain Na, P and Mo concentrations; bulk Mg, S, K, Mn, Cu, Cd and Pb concentrations remained unchanged. These changes observed in bulk element concentrations are the reflection of tissue-specific variations within the grain, revealing that Zn application to soil can lead to considerable alterations in the element distributions within the grain, which might ultimately influence the quality of the milling fractions. Spatially resolved investigations into the partitioning of the element concentrations identified the tissues with the highest element concentrations, which is of utmost importance for accurate prediction of element losses during the grain milling and polishing processes.

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