416
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Co-occurrence of mycotoxins in maize and maize-derived food in China and estimation of dietary intake

ORCID Icon, , &
Pages 124-134 | Received 19 Sep 2018, Accepted 13 Jan 2019, Published online: 28 Jan 2019
 

ABSTRACT

A total of 576 samples marketed in China, including maize, maize flour, maize grits and maize meal, was determined for the simultaneous presence of 12 mycotoxins (FB1, FB2, FB3, DON, 3-DON, 15-DON, ZEN, AFB1, AFB2, AFG1, AFG2 and OTA) using a validated UPLC-MS/MS for multi-mycotoxin method. DON were the most widespread mycotoxins (63%), followed by FB1 (57%) and ZEN (46%). 78% of the samples was contaminated with at least one of these mycotoxins. Risk assessment indicated that maize and maize-derived food intake does not pose a potential risk for general adult population with respect to individual mycotoxin. However, two or more mycotoxins were detected in 60% of all samples, and a combination of up to seven different mycotoxins was found. A particular attention should be paid to the combined exposure of mycotoxins, in this cases the estimated daily intake might increase greatly due to the high frequency of co-occurrence.

Acknowledgments

We would like to thank 5 provincial Centers for Disease Control and Prevention for sampling and mycotoxin analysis.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was financially supported by the National Key Research and Development Program of China [2017YFC1601302].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.