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European Food Research and Technology

, Volume 245, Issue 10, pp 2195–2207 | Cite as

A multiplex real-time PCR method applied to detect eight pollen species in food for the prevention of allergies

  • Yange Yang
  • Hongyue Wang
  • Minchang Liu
  • Wensheng Huang
  • Yingchun Wang
  • Yajun WuEmail author
Original Paper
  • 63 Downloads

Abstract

Pollen-induced anaphylaxis is recognized as the most common allergic disease. Methods for pollen species identification are thus regarded as important and urgent for the protection of sensitive consumers. In our study, a multiplex real-time PCR assay was established targeting eight pollens that have been reported recently as potential allergens or were uncommon species that have been newly exploited for marketing purposes (pine pollen, canola bee pollens, kiwi bee pollens, willow bee pollens, corn poppy bee pollens, rose bee pollens, lotus bee pollens, and camellia bee pollens). This method proved to be highly specific and efficient, with four pollen species being identified simultaneously from a single reaction. The absolute sensitivity was 1 pg/μL to 1 ng/μL for DNA from the eight pollen species, and as low as 0.5% (w/w) mixed bee pollen powder could be discriminated. A microscopy method using SEM was compared with our multiplex real-time PCR method. Results demonstrated that SEM was much less sensitive than multiplex real-time PCR, with the sensitivity of the former being approximately 10–50% (w/w).

Keywords

Pollen Identification Allergen Multiplex real-time PCR 

Notes

Acknowledgements

We gratefully acknowledge Prof. Liming Wu and Dr. Kai Wang with the Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, for providing raw pollen samples. This work was supported by the CAIQ (Chinese Academy of Inspection and Quarantine) project (2017JK011) and the National Key Research and Development Program of China (2016YFD0401203). We thank LetPub (http://www.letpub.com) for its linguistic assistance during the preparation of this manuscript.

Compliance with ethical standards

Conflict of interest

All authors declare no conflict of interest.

Compliance with ethics requirements

This article does not contain any studies with animal or human subjects.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Yange Yang
    • 1
  • Hongyue Wang
    • 1
  • Minchang Liu
    • 1
  • Wensheng Huang
    • 1
  • Yingchun Wang
    • 1
  • Yajun Wu
    • 1
    Email author
  1. 1.Chinese Academy of Inspection and QuarantineBeijingChina

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