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The determination of Ochratoxin A based on the electrochemical aptasensor by carbon aerogels and methylene blue assisted signal amplification

Overview of attention for article published in BMC Chemistry, April 2018
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Title
The determination of Ochratoxin A based on the electrochemical aptasensor by carbon aerogels and methylene blue assisted signal amplification
Published in
BMC Chemistry, April 2018
DOI 10.1186/s13065-018-0415-4
Pubmed ID
Authors

Min Wei, Wenyang Zhang

Abstract

In this work, a novel aptamer-based electrochemical biosensor was developed for the determination of Ochratoxin A (OTA) by using carbon aerogels (CAs) and methylene blue (MB) as signal amplification strategy. CAs was used as carrier to load the abundant of complementary DNA (cDNA), which could enhance the hybridization between CAs-cDNA and aptamer immobilized on the electrode surface, thus provide more double-stranded DNA for MB intercalation. The current of MB on the CAs-cDNA/apt/AuE sensor was twice that on the cDNA/apt/AuE sensor, which indicated that the CAs with high surface area enabled a higher loading of the cDNA and absorbed more MB, thus realized the signal amplification strategy. The optimum experimental conditions including MB incubation time of 15 min, aptamer concentration of 4.0 μmol/L, hybridization time of 2.0 h, and OTA incubation time of 18 min were obtained. The change of peak current was linearly proportional to the OTA concentration in the range of 0.10-10 ng/mL with the actual detection limit of 1.0 × 10-4 ng/mL. The experimental results showed that the prepared CAs-cDNA/apt/AuE exhibited good specificity, acceptable reproducibility and repeatability. This sensor was applied to detect OTA in the spiked corn samples, and obtained an acceptable average recovery of 89%.

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The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Student > Master 2 9%
Professor > Associate Professor 2 9%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Engineering 2 9%
Materials Science 2 9%
Agricultural and Biological Sciences 2 9%
Chemical Engineering 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 9%
Unknown 13 57%