4.7 Article

A signal off aptasensor based on AuNPs/Ni-MOF substrate-free catalyzed for detection Enrofloxacin

Journal

JOURNAL OF ELECTROANALYTICAL CHEMISTRY
Volume 911, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.jelechem.2022.116251

Keywords

Enrofloxacin; Ni-MOF; Aptamers; Electrochemical biosensor; Substrate-free catalysis

Funding

  1. National Natural Science Foundation of China [U1704126, 41003046]
  2. Science and Technology Project of Henan Province, China [212102310072, 162102210042]
  3. Plan for Scientific Innovation Talent of Henan University of Technology [2018RCJH13]
  4. Innovative Funds Plan of Henan University of Technology [2020ZKCJ30]

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In this study, an electrochemical aptamer sensor based on nickel metal-organic framework and gold nanoparticles was developed to detect quinolone antibiotics with a large detection range and low detection limit, and it could be applied to the detection of food samples.
In this project, we developed an electrochemical aptamer sensor based on the coordinated catalysis toward thionine (Thi) of nickel metal-organic framework (Ni-MOF) and gold nanoparticles (AuNPs) to sensitively detect the enrofloxacin (ENR), which belonged to a third-generation quinolone antibiotic for treat diseases caused by bacteria. In order to improve the analytical performance of the sensor, Ni-MOF and gold AuNPs, as the substrate material, could increase the load of the aptamer (Apt) and synergistically catalyze thionine (Thi). Therefore, ultrathin sheets of gold triangular nanosheets (AuTNSs) were prepared as signal labeling materials, which were loaded with a large amount of Thi and complementary deoxyribonucleic acid (cDNA). With the help with Ni-MOF and AuNPs catalysis toward Thi, under optimal conditions, the aptasensor exhibited a massive detection range of 1x10-2 pg center dot mL-1 to 1x103 pg center dot mL-1 (S/N = 3) and a detection limit of 5.6x10-3 pg center dot mL-1 for ENR. Meanwhile, the proposed sensor has a high sensitivity, satisfactory repeatability and long-time stability, and could be well applied to the detection of food samples.

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