Author
Listed:
- Xiaodan Wang
(Division of Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China)
- Jiang Liang
(Division of Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China)
- Pei Cao
(Division of Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China)
- Shuang Zhou
(Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100021, China)
- Aibo Wu
(Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China)
- Peng Gao
(Division of Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China)
- Haibin Xu
(Division of Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China)
- Zhaoping Liu
(Division of Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China)
- Yunyun Gong
(Division of Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100022, China
School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK)
Abstract
Objective : To investigate the levels of a deoxynivalenol (DON) biomarker in the urine of subjects living in two China provinces with different geographic locations and dietary patterns, and estimate their dietary DON exposures and health risks. Methods : First morning urine samples were collected on three consecutive days from 599 healthy subjects—301 from Henan province and 298 from Sichuan province—to analyze the total DON concentrations (tDON) after β-glucuronidase hydrolysis using a high-performance liquid chromatography tandem mass spectrometry-based method. The consumption of cereal foods in the previous 24 h before each urine collection was recorded using a duplicate diet method. DON exposure levels were estimated based on the urinary tDON concentrations. Results : Total DON were detected in 100% and 92% of the urine samples from Henan and Sichuan, respectively. Mean urinary tDON concentrations were 52.83 ng/mL in Henan subjects and 12.99 ng/mL in Sichuan subjects, respectively. The tDON levels were significantly higher in the urine of Henan subjects than that of the Sichuan subjects ( p < 0.001). Urinary tDON levels were significantly different among age groups in both areas (Henan: p < 0.001; Sichuan: p = 0.026) and were highest in adolescents aged 13–17 years, followed by children aged 7–12 years. Based on the DON biomarker and exposure conversion reported by the European Food Safety Authority (EFSA), the mean estimated dietary intakes of DON were 1.82 μg/kg bw/day in Henan subjects and 0.45 μg/kg bw/day in Sichuan subjects. A total of 56% of Henan subjects and 12% of Sichuan subjects were estimated to exceed the PMTDI of 1 μg/kg bw/day. Consistent with urinary tDON levels, the highest estimated dietary DON intakes were also in children and adolescents aged 7–17 years. For all kinds of wheat-based foods except dumplings, the consumptions were significantly higher in Henan than those in Sichuan. The mean consumption of steamed buns was 8.4-fold higher in Henan (70.67 g/d) than that in Sichuan (8.45 g/d). The mean consumption of noodles in Henan (273.91 g/d) was 3.6-fold higher than that in Sichuan (75.87 g/d). Conclusions : The levels of urinary DON biomarker and the estimated dietary DON intakes in Henan province were high and concerning, especially for children and adolescents. The overall exposure level of Sichuan inhabitants was low.
Suggested Citation
Xiaodan Wang & Jiang Liang & Pei Cao & Shuang Zhou & Aibo Wu & Peng Gao & Haibin Xu & Zhaoping Liu & Yunyun Gong, 2019.
"Biomonitoring Study of Deoxynivalenol Exposure in Chinese Inhabitants,"
IJERPH, MDPI, vol. 16(12), pages 1-11, June.
Handle:
RePEc:gam:jijerp:v:16:y:2019:i:12:p:2169-:d:241261
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:12:p:2169-:d:241261. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.