Jump to main content
Jump to site search


A high throughput screening method of endocrine disrupting chemicals in tap water and milk samples based on estrogen receptor α and gold nanoparticles

Abstract

Increasing concern of endocrine disrupting chemicals (EDCs) in environment and food samples has aroused a demand for rapid and high throughput screening methods to evaluate their estrogenic effects. In this study, a sensitive assay based on estrogen receptor α (ERα) and gold nanoparticles (AuNPs) was established to screen EDCs and confirm the binding affinities of EDCs with ERα. ERα protein can prevent salt-induced aggregation of AuNPs by recruiting Na+ from AuNPs. When there are EDCs as targets in the sample, the specific binding of ERα and EDCs via hydrogen bond results in a reduction of the binding between Na+ and ERα and then most Na+ bind to AuNPs and induce their aggregation. Nine kinds of estrogen-agonist compounds, 17β-estradiol (17β-E2), diethylstilbestrol (DES), hexoestrolum (HES), 17α-estradiol (17α-E2), estrone (E1), 2,2-bis(4-hydroxyphenyl)-1,1,1-trichloroethane (HPTE), genistein, bisphenol A (BPA) and bisphenol B (BPB), were chosen as the representative targets for validation of this method. The rank order of estrogenic potency determined by this method was DES > 17β-E2 > HES > 17α-E2 > E1 > HPTE > genistein > BPA > BPB, which were consistent with the published results. Moreover, the recoveries of nine kinds of EDCs spiked in tap water and milk samples were both between 80.0% and 120.0%, which proved that this method can be used for high throughput screening of these EDCs in environment and food samples.

Back to tab navigation

Publication details

The article was received on 09 Oct 2019, accepted on 25 Nov 2019 and first published on 27 Nov 2019


Article type: Paper
DOI: 10.1039/C9AY02179E
Anal. Methods, 2019, Accepted Manuscript

  •   Request permissions

    A high throughput screening method of endocrine disrupting chemicals in tap water and milk samples based on estrogen receptor α and gold nanoparticles

    M. Liu, S. Zhang, S. Du, S. Pang, X. Liu and H. Zhang, Anal. Methods, 2019, Accepted Manuscript , DOI: 10.1039/C9AY02179E

Search articles by author

Spotlight

Advertisements