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Investigation of geochemical composition of lake sediments using ED‐XRF and ICP‐AES techniques
Author(s) -
Szalóki I.,
Somogyi A.,
Braun M.,
Tóth A.
Publication year - 1999
Publication title -
x‐ray spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 45
eISSN - 1097-4539
pISSN - 0049-8246
DOI - 10.1002/(sici)1097-4539(199909/10)28:5<399::aid-xrs375>3.0.co;2-e
Subject(s) - sediment , inductively coupled plasma , inductively coupled plasma atomic emission spectroscopy , analytical chemistry (journal) , chemistry , mineralogy , environmental chemistry , geology , geomorphology , physics , plasma , quantum mechanics
The elemental composition of lake bottom sediment indicates the environmental changes of biological and geochemical processes in the water body and in the sediment–water interface. Changes in soil‐forming processes and vegetation in the catchment area also influence the quantitative composition of sediment. In order to analyse sediment quantitatively, several core samples were collected from depths of 600–800 cm in a peat bog located in NE Hungary. The original wet core was divided into subsamples of 1 cm thickness, dried, homogenized and digested with nitric acid and hydrogen peroxide for inductively coupled plasma atomic emission spectrometry (Ca, Fe, Mn, Sr, Ba). The undissolved parts of the samples were analysed by energy‐dispersive x‐ray fluorescence spectrometry using the fundamental parameter method for Si, Ca, K, Ti, Zr and Y. The X‐ray excitation of the samples was carried out with a Siemens K710‐H x‐ray generator applying Mo and Cr tubes for ranges of elements 21 < Z < 40 and 14 < Z < 23, respectively. The primary spectra of the tubes were reconstructed by measured spectra scattered from a thin (20 µm) Mylar foil. The software outputs were the intensities of the x‐ray fluorescence lines of the samples and of some pure elements which were provided by independent measurements with the Mo and Cr tubes. The final results of this combined quantitative analysis were used in the evaluation of the soil‐development model using multivariate statistical analysis of the elemental composition of the sediment samples. Copyright © 1999 John Wiley & Sons, Ltd.