4.7 Article

An upconversion nanosensor for rapid and sensitive detection of tetracycline in food based on magnetic-field-assisted separation

Journal

FOOD CHEMISTRY
Volume 373, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.131497

Keywords

Upconversion fluorescence; Food; Tetracycline; Europium ion

Funding

  1. Key R&D Program of Jiangsu Province [BE2020379]
  2. Jiangsu Provincial Agricultural S&T Innovation Foundation [CX (20) 2015]
  3. Project of Faculty of Agricultural Equipment of Jiangsu University

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An upconversion nanosensor for detecting tetracycline was developed using magnetic separation and electrostatic adsorption, with a linear detection range of 0.5-1000 ng mL(-1) and a detection limit of 0.17 ng mL(-1). This method showed great potential for tetracycline detection in food samples, providing simple operation, high sensitivity, excellent repeatability, and selectivity.
Tetracycline, a broad-spectrum antibiotic, has been widely used in disease treatment and other fields. However, due to the unreasonable use, its residue remains in food which eventually harms human health. Here described an upconversion nanosensor for tetracycline detection based on magnetic separation and electrostatic adsorption. To identify tetracycline, tetracycline aptamer, and europium ions (Eu3+) were introduced in the system. According to the electrostatic adsorption principle, Eu3+ exposed core-shell UCNPs were bound to negative complex of magnetic nanoparticles (MNPs) and aptamer. In the presence of tetracycline, UCNPs separated with MNPs-aptamer and remained in the supernatant by an external magnetic field. Under optimal conditions, the linear detection range of tetracycline was 0.5-1000 ng center dot mL(-1), and the detection limit was 0.17 ng center dot mL(-1). It has been successfully applied to detect tetracycline in food samples. The constructed method provided broad prospects for tetracycline detection with the merits of simple operation, high sensitivity, excellent repeatability, and selectivity.

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