Literature DB >> 34823936

A fluorescence aptasensor based on carbon quantum dots and magnetic Fe3O4 nanoparticles for highly sensitive detection of 17β-estradiol.

Qingyi Wei1, Peiyao Zhang1, Hongbin Pu1, Da-Wen Sun2.   

Abstract

Trace amounts of 17β-estradiol (E2) in food and the environment poses a threat to human health, which has created the demand for sensitive analytical methods to detect E2. In this study, a novel fluorescent aptasensor was developed for sensitive detection of E2 based on double-chain hybridization between carbon quantum dots-labelled with E2 aptamer (CQDs-aptamer) and Fe3O4 nanoparticles modified by complementary DNA (Fe3O4-cDNA). Under the optimal conditions, the aptasensor displayed a good linear range of 10-11-10-6 M for E2 with the coefficient of determination (R2) of 0.996, and a low detection limit of 3.48 × 10-12 M was obtained. Besides, the aptasensor showed high selectivity and good reproducibility for E2 detection, which was successfully applied to the sensitive detection of E2 in milk as compared with tap water and lake water with satisfactory recoveries from 85.21% to 114.80%, suggesting the great significance of this aptasensor for detecting food contaminants in the food industry.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  17β-Estradiol; Aptamer; Magnetic separation; Milk; Quantum dots; Water

Mesh:

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Year:  2021        PMID: 34823936     DOI: 10.1016/j.foodchem.2021.131591

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

Review 1.  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

2.  A Hydrothermal Method to Generate Carbon Quantum Dots from Waste Bones and Their Detection of Laundry Powder.

Authors:  Heng Ye; Binbin Liu; Jin Wang; Chunyu Zhou; Zhili Xiong; Longshan Zhao
Journal:  Molecules       Date:  2022-10-01       Impact factor: 4.927

  2 in total

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