2020
DOI: 10.1007/s11356-020-07947-6
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Lead isotope ratios as tool for elucidation of chemical environment in a system of Macrolepiota procera (Scop.) Singer - soil

Abstract: The analysis of isotope ratios of lead in the mushrooms and soil, where they were grown, assisted with a principal component analysis, offered a new perspective for understanding possible chemical environment in a real setup of those compartments. The content of lead and its isotope compositions were determined in soil samples and mushroom Macrolepiota procera from unpolluted area of Mountain Goč, Serbia. Sequential extraction procedure based on the Commission of the European Community Bureau of Reference (BCR… Show more

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Cited by 11 publications
(13 citation statements)
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“…Accordingly, ICP-QMS has not the same sensitivity for different masses, due to differences in ion transmission and detection ( Devulder et al, 2013 ). This phenomenon causes a difference between the true values and the obtained LIRs data ( Đurđić et al, 2020 ; Marguí et al, 2007 ). Therefore, it is mandatory to correct the instrumental LIRs data on the mass-bias effect in order to improve accuracy in LIRs measurements.…”
Section: Methodsmentioning
confidence: 99%
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“…Accordingly, ICP-QMS has not the same sensitivity for different masses, due to differences in ion transmission and detection ( Devulder et al, 2013 ). This phenomenon causes a difference between the true values and the obtained LIRs data ( Đurđić et al, 2020 ; Marguí et al, 2007 ). Therefore, it is mandatory to correct the instrumental LIRs data on the mass-bias effect in order to improve accuracy in LIRs measurements.…”
Section: Methodsmentioning
confidence: 99%
“…Also, for the correction of instrumental LIRs data, it is necessary to calculate the bias factor ( K ). For calculation of K , a linear, potential or exponential algorithm can be used ( Đurđić et al, 2020 ; Marguí et al, 2007 ). In Table 1 , the values of LIRs of the certified reference material NIST SRM 981 were compared with LIRs instrumental data after their correction to the mass-bias effect, using external and internal standardization with potential algorithm ( Đurđić et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%
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