Assessment of metal elements and health risks in consumable nuts from China by inductively coupled plasma mass spectrometry

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Authors: Zhendong Yin, Xin Zhang, Guiying Yang, Yanan Sun, Junjie Miao, Hongmei Shi
Cited by: 1
References: 65

Abstract

In this work, 26 metal elements in 14 widely consumed nut varieties were measured using ICP-MS. The method performed satisfactorily, with detection limits between 0.003 and 0.6 mg/kg, recoveries ranging from 92.3% to 113.2%, and with relative standard deviations all under 10%. Principal component analysis, hierarchical cluster analysis and Spearman correlation revealed distinct metal accumulation patterns. Health risk assessment indicates that in actual weekly intake, the highly toxic metals Pb, Cd, Cr and As fell within the allowable limits. Both the target hazard quotient (THQ) and hazard index were below 1 for all the toxic metals. On the other hand, the carcinogenic risk (CR) of As, Cd, and Cr were within acceptable ranges, Ni exhibited a CR value exceeding 10 –4 , indicating a potential carcinogenic risk of Ni. Overall, our findings support the general safety of nut consumption at typical intake levels, conferring key data for dietary guidance and food safety monitoring. The layout of the detection method developed in this work for determinations of 26 metal elements in 14 widely consumed nut varieties from China using inductively coupled plasma mass spectrometry. • The contents of 26 metal elements were quantified for 14 types of nuts by ICP–MS. • Multivariate data analysis (PCA and HCA) revealed distinct clustering patterns of the metals. • The exposure to four toxic metal elements (Pb, Cd, Cr and As) was assessed by PTWI. • Non-carcinogenic and carcinogenic risks were assessed for potentially toxic metals. • The CR values of Ni were above 10 –4 in all nut types, being the highest in peanuts.

Fields of Study & Subjects

Heavy Metals in Plants Nuts composition and effects Radioactivity and Radon Measurements

Publication details

Journal / source
Journal of Food Composition and Analysis
Publisher
Elsevier BV
Volume
152
Pages
109044–109044
Publication date
27 February 2026
Language
EN