| Literature DB >> 28830150 |
Analice Kamala1,2, Martin Kimanya3, Carl Lachat1, Liesbeth Jacxsens1, Geert Haesaert4, Patrick Kolsteren1, Johana Ortiz1,5, Bendantuguka Tiisekwa6, Bruno De Meulenaer1.
Abstract
This study estimated exposure to multiple mycotoxins in 249 infants aged between 6 and 12 months in three agro-ecological zones of Tanzania. Maize-based complementary food intakes were estimated using two 24 h dietary recalls. Using @Risk software, probabilistic exposure assessment was conducted by modeling maize intake data (kg/kg body weight/day) with previously determined multiple mycotoxin (except for ochratoxin A (OTA) and zearalenone (ZEA), present in only a few samples) contamination data (μg/kg) in maize. Maize intakes ranged from 0.13 to 185 g/child/day (average = 59 ± 36 g/child/day). The estimated mean exposures were higher for aflatoxins (6-fold), fumonisins (3-fold), and deoxynivalenol (2-fold) than health-based guidance values of 0.017 ng/kg body weight/day, 2 μg/kg body weight/day, and 1 μg/kg body weight/day, respectively. The population at risk of exposures above the limits of health concern ranged from 12% for HT-2 toxin through 35% for deoxynivalenol to 100% for aflatoxins. The exposure varied among the agro-ecological zones. Strategies targeting multiple mycotoxins in maize are urgently needed to minimize exposures in Tanzania.Entities:
Keywords: Monte Carlo simulation; exposure assessment; maize intake; multiple mycotoxins; probabilistic analysis
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Year: 2016 PMID: 28830150 DOI: 10.1021/acs.jafc.6b03429
Source DB: PubMed Journal: J Agric Food Chem ISSN: 0021-8561 Impact factor: 5.279