Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Deterministic and Probabilistic Risk Assessment of Elemental Composition in Pistachios and Hazelnuts From Iran Publisher Pubmed



Hadian Z1 ; Shariatifar N2 ; Arabameri M3 ; Moazzen M3 ; Mousavi Khaneghah A3, 4
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Food Science and Technology Research, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  2. 2. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Food and Drug Administration, Halal Research Center of IRI, Ministry of Health and Medical Education, Tehran, Iran
  4. 4. Faculty of Biotechnologies (Biotech), ITMO University, 9 Lomonosova Street, Saint Petersburg, 191002, Russian Federation

Source: Biological Trace Element Research Published:2025


Abstract

In the present study, concentrations of 28 elements (Ca, Cu, Li, Co, Sn, Fe, S, Pt, Au, Bi, B, Sr, W, Si, P, Mg, K, Mn, Na, Ni, Se, Zn, Al, Ba, Cd, Pb and As) in pistachios and hazelnuts collected from local markets in Tehran, Iran, were assessed using ICP-OES. The elemental risk assessments were carried out by estimating recommended dietary allowance, chronic daily intake, target hazard quotient, and incremental lifetime cancer risk. Results revealed that the highest and the lowest concentrations of elements in all samples included K (4700 ± 3473 μg Kg−1) and Li (0.173 ± 0.40 μg Kg−1), respectively. In addition, results showed that Cd, As, Pb, Co, Bi, Au, Pt, and Sn were not detected in the samples. In all the nuts samples, quantities of the elements (μg Kg−1) were less than the standard levels (Pb = 20, Cd = 10, As = 140, Al = 500, Fe = 2700 and Mn = 100). The principal component analysis results highlighted the distinguishing characteristics of the nuts. Cluster analysis helped distinguish four subgroups based on their ability to accumulate elements. Therefore, chemometric analysis could be a practical method for classifying nut samples based on their elements. Based on the results of health risk indicators, no risks of exposure to heavy metals from the consumption of Iranian pistachio and hazelnut samples are reported. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.