4.8 Article

Fabricating photoelectrochemical aptasensor for selectively monitoring microcystin-LR residues in fish based on visible light-responsive BiOBr nanoflakes/N-doped graphene photoelectrode

期刊

BIOSENSORS & BIOELECTRONICS
卷 81, 期 -, 页码 242-248

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2016.02.072

关键词

BiOBr nanoflakes; N-doped graphene; P-N heterojunction; Photoelectrochemical; Aptasensor; Microcystin-LR

资金

  1. National Natural Science Foundation of China [21375050, 21405063, 21505055]
  2. Natural Science Foundation of Jiangsu province [BK20150486]
  3. Priority Academic Program Development of Jiangsu Higher Education Institutions [PAPD-2014-37]
  4. Jiangsu Province Synergistic Innovation Center Program of Modern Agricultural Equipment and Technology [NZXT01201403]
  5. China Postdoctoral Science Foundation [2015T80517]
  6. Qing Lan Project

向作者/读者索取更多资源

The presence of microcystins in fish has been augmenting the risk of toxicity to animal and human health. Herein, a selective and sensitive method for detecting microcystin-LR (MC-LR) in fish samples by integrating the photoelectrochemical (PEC) technique and the specific recognition ability of aptamer was developed. Specifically, as an efficient PEC transducer, the BiOBr nanoflakes/N-doped graphene p-n heterojunction electrode was utilized as the aptamer immobilization platform via the pi-pi stacking interaction, which would be a biosensor enabling the convenient and exquisite PEC analysis. Subsequently, the PEC response of constructed aptasensor was specific binding to MC-LR. Other isoforms did not interfere with the detection process, and thus, it could be applied for the highly selective determination of MC-LR level. Under the optimized condition, the PEC signal versus the logarithm of the MC-LR concentration was in good linear relationship ranging from 0.1 pM to 100 nM with detection limit about 0.03 pM. The constructed method was employed to analyze fish samples collected from the local supermarket. The overall analytical recovery of MC-LR in the fish matrices ranged from 97.8 to 101.6%, with relative standard deviation (RSD) of 2.52-5.14%, implying it would have great potential in farm product analysis. (C) 2016 Elsevier B.V. All rights reserved.

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