Probabilistic Assessment of the Intake of Trace Elements by Consumption of Red Deer (Cervus elaphus) and Wild Boar (Sus scrofa) Meat

Author:

Sevillano-Morales J.1ORCID,Sevillano-Caño J.2,Amaro-López M. A.1,Cámara-Martos F.1ORCID

Affiliation:

1. Food Science and Technology Department, University of Cordoba, Campus Universitario de Rabanales, Edificio C-1, 14014 Cordoba, Spain

2. Agronomy Department, University of Cordoba, Campus Universitario de Rabanales, Edificio C-1, 14014 Cordoba, Spain

Abstract

The aim of this work was to study the nutritional value of game meat through the fulfillments of Dietary Reference Intakes (DRI) for trace elements (Co, Cr, Cu, Fe, Ni, Se, and Zn). A probabilistic model (@Risk) was developed based on the consumption data of hunter-consumers obtained from a previously published survey. Two game species widely consumed in Europe were selected: red deer (Cervus elaphus) and wild boar (Sus scrofa). Red deer muscle had the highest content of Cr (0.25 mg/kg) and Zn (44.3 mg/kg) and wild boar muscle recorded the highest Cu (2.23 mg/kg), Ni (0.60 mg/kg), and Se (0.19 mg/kg), showing statistically significant differences between the two species for these elements. No statistically significant differences were found for Fe between both game species (red deer: 52.9 mg/kg and wild boar: 53.3 mg/kg). Co content in this kind of meat was negligible for both species. The results obtained from the simulation of the probabilistic model with red deer indicated that a consumption once per week of this meat fulfills Cr, Fe, and Zn DRIs for the 95th percentile in hunter-consumers. Regarding wild boar, the values obtained also fulfill the Fe DRI and were between 61 and 75% for the rest of the trace elements analyzed.

Funder

Programa Propio de Financiación de Grupos de Investigación de la Universidad de Córdoba

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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