• 文献标题:   A novel fluorescent "turn-on" aptasensor based on nitrogen-doped graphene quantum dots and hexagonal cobalt oxyhydroxide nanoflakes to detect tetracycline
  • 文献类型:   Article
  • 作  者:   ZHANG L, WANG JP, DENG JK, WANG S
  • 作者关键词:   aptamer, cobalt oxyhydroxide nanoflake, fluorescence resonance energy transfer, graphene quantum dot, structure switching
  • 出版物名称:   ANALYTICAL BIOANALYTICAL CHEMISTRY
  • ISSN:   1618-2642 EI 1618-2650
  • 通讯作者地址:   Tianjin Univ Sci Technol
  • 被引频次:   4
  • DOI:   10.1007/s00216-019-02361-5 EA JAN 2020
  • 出版年:   2020

▎ 摘  要

In this study, a novel fluorescent "turn-on" aptasensor was developed for sensitive and rapid detection of tetracycline (TC) in animal-derived food. It is based on aptamer-functionalized nitrogen-doped graphene quantum dots (N-GQDs-aptamer) coupled with cobalt oxyhydroxide (CoOOH) nanoflakes. The CoOOH nanoflakes are efficient fluorescence quenchers in homogeneous solutions, and this is due to their advantages of excellent optical properties, superior flexibility, and water dispersibility. The proposed method's mechanism is driven by quenching based on the fluorescence resonance energy transfer (FRET) between the donor (N-GQDs) and the acceptor (CoOOH nanoflakes). On the other hand, fluorescence recovery is caused by the structure switching behavior of the aptamer. Compared with previous methods, our developed method exhibits better behavior in terms of being easy to fabricate and being simple in detection procedure and maintains the detection limit low enough in TC determination: a linear range from 1 to 100 ng mL(-1) and a detection limit of 0.95 ng mL(-1) (S/N = 3). Furthermore, the proposed method was applied to five animal-derived food samples (milk, honey, fish, eggs, and chicken muscle) and demonstrated practical applicability. As well, the method has the advantages of simplicity in pre-treatment and convenience in instruments, saves times, and is cost-effective. Finally, the proposed method demonstrates significant potential for sensitive and rapid detection of specific components in real samples.