4.7 Review

Recent advances in the detection of 17β-estradiol in food matrices: A review

Journal

CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
Volume 59, Issue 13, Pages 2144-2157

Publisher

TAYLOR & FRANCIS INC
DOI: 10.1080/10408398.2019.1611539

Keywords

Endocrine disrupting chemicals; 17 beta-estradiol; food safety; detection; food matrices

Funding

  1. National Key R&D Program of China [2018YFD0400600]
  2. Collaborative Innovation Major Special Projects of Guangzhou City [201604020007]
  3. Fundamental Research Funds for the Central Universities [2018MS056, 2017MS075]
  4. International and Hong Kong - Macau - Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology Equipment [2015KGJHZ001]
  5. Guangdong Provincial R&D Center for the Modern Agricultural Industry on Nondestructive Detection and Intensive Processing of Agricultural Products
  6. Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products [2016LM2154]
  7. Innovation Center of Guangdong Province for Modern Agricultural Science and Technology on Intelligent Sensing and Precision Control of Agricultural Product Qualities

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Pollution of endocrine disrupting chemicals has become a global issue. As one of the hormonally active compounds, 17 beta-estradiol produces the strongest estrogenic effect when it enters the organism exogenously including food intakes, bringing potential harmfulness such as malfunction of the endocrine system. Therefore, in order to assure food safety and avoid potential risks of 17 beta-estradiol to humans, it is of great significance to develop rapid, sensitive and selective approaches for the detection of 17 beta-estradiol in food matrices. In this review, the harmfulness and main sources of 17 beta-estradiol are firstly introduced, followed by the description of the principles and applications of different approaches for 17 beta-estradiol detection including high performance liquid chromatography, electrochemistry, Raman spectroscopy, fluorescence and colorimetry. Particularly, applications in detecting 17 beta-estradiol in food matrices over the years of 2010-2018 are discussed. Finally, advantages and limitations of these detection methods are highlighted and perspectives on future developments in the detection methods for 17 beta-estradiol are also proposed. Although many detection approaches can achieve trace or ultratrace detection of 17 beta-estradiol, further studies should be focused on the development of in-situ and real-time methods to monitor and evaluate 17 beta-estradiol for food safety.

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