ECONOMETRIC MODEL FOR ESTIMATION OF HEAVY
METALS IN WILD EDIBLE MUSHROOM (SUILLUS LUTEUS)
Miroslava Ivanova1, Lilko Dospatliev2
1Department of Informatics and Mathematics
Trakia University
Stara Zagora, 6000, BULGARIA
2Department of Pharmacology, Animal Physiology
and Physiological Chemistry
Trakia University
Stara Zagora, 6000, BULGARIA

Abstract

The aims of this work were to determine heavy metals (Pb, Cd, Co, Cu, Mn, Zn and Fe) contents in the wild edible mushroom Suillus luteus growing in the Batak Mountain, Bulgaria and to identify the relationship between Fe and the other elements using ordinary least squares multiple linear regression model. Quantitative determination of the concentration of the studied heavy metals was carried out in mineralized samples by Perkin Elmer AAnalyst 800 atomic absorption spectrometer with deuterium background corrector. All statistical computing, analysis and all charts were performed with the statistical software R program. We received an ordinary least squares multiple linear regression model showed that: Zn, Mn, Cu, Co and Pb increase by 1%, the effect of this increase would result in an increase in Fe by 2.15% on the average; if Cd decreases by 1%, the effect of this decrease would result in an decrease in Fe by 31%.

Citation details of the article



Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 32
Issue: 4
Year: 2019

DOI: 10.12732/ijam.v32i4.11

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