Risk assessment of deoxynivalenol in high-risk area of China by human biomonitoring using an improved high throughput UPLC-MS/MS method

Deng, C, Li, C, Zhou, S et al. (7 more authors) (2018) Risk assessment of deoxynivalenol in high-risk area of China by human biomonitoring using an improved high throughput UPLC-MS/MS method. Scientific Reports, 8. 3901. ISSN 2045-2322

Abstract

Metadata

Authors/Creators:
  • Deng, C
  • Li, C
  • Zhou, S
  • Wang, X
  • Xu, H
  • Wang, D
  • Gong, YY
  • Routledge, MN
  • Zhao, Y
  • Wu, Y
Copyright, Publisher and Additional Information: © 2018, The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Dates:
  • Published: 1 March 2018
  • Accepted: 16 February 2018
  • Published (online): 1 March 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Maths and Physical Sciences (Leeds) > School of Food Science and Nutrition (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Apr 2018 12:57
Last Modified: 20 Apr 2018 12:57
Status: Published
Identification Number: https://doi.org/10.1038/s41598-018-22206-y

Share / Export

Statistics