Literature DB >> 31084362

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

Hongbin Pu1,2,3, Zhibin Huang1,2,3, Da-Wen Sun1,2,3,4, Haohua Fu5.   

Abstract

Pollution of endocrine disrupting chemicals has become a global issue. As one of the hormonally active compounds, 17β-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 17β-estradiol to humans, it is of great significance to develop rapid, sensitive and selective approaches for the detection of 17β-estradiol in food matrices. In this review, the harmfulness and main sources of 17β-estradiol are firstly introduced, followed by the description of the principles and applications of different approaches for 17β-estradiol detection including high performance liquid chromatography, electrochemistry, Raman spectroscopy, fluorescence and colorimetry. Particularly, applications in detecting 17β-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 17β-estradiol are also proposed. Although many detection approaches can achieve trace or ultratrace detection of 17β-estradiol, further studies should be focused on the development of in-situ and real-time methods to monitor and evaluate 17β-estradiol for food safety.

Entities:  

Keywords:  17β-estradiol; Endocrine disrupting chemicals; detection; food matrices; food safety

Mesh:

Substances:

Year:  2019        PMID: 31084362     DOI: 10.1080/10408398.2019.1611539

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  4 in total

1.  Screening of Estrogenic-Disrupting Compounds in Dairy Products Based on the Estrogen Receptor Cocktail.

Authors:  Xiaoqi Li; Shuyuan Du; Fangyuan Tian; Minglu Wang; Ying Wang; Hongyan Zhang; Liguo Zang
Journal:  Foods       Date:  2022-04-19

2.  Graphitic carbon nitride and APTES modified advanced electrochemical biosensor for detection of 17β-estradiol in spiked food samples.

Authors:  M S Bacchu; M R Ali; M N Hasan; M R A Mamun; M I Hossain; M Z H Khan
Journal:  RSC Adv       Date:  2022-06-06       Impact factor: 4.036

Review 3.  Research Advances in the Analysis of Estrogenic Endocrine Disrupting Compounds in Milk and Dairy Products.

Authors:  Jia Chang; Jianhua Zhou; Mingyang Gao; Hongyan Zhang; Tian Wang
Journal:  Foods       Date:  2022-10-01

Review 4.  Advances in electrochemical sensors based on nanomaterials for the detection of lipid hormone.

Authors:  Tingting Zhang; Xin Du; Zhenguo Zhang
Journal:  Front Bioeng Biotechnol       Date:  2022-09-09
  4 in total

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