Novel aptasensor for the ultrasensitive detection of kanamycin based on grapheneoxide quantum-dot-linked single-stranded DNA-binding protein
•A novel aptasensor based on Graphene oxide quantum dots linked single-stranded DNA-binding protein is designed.•SSB has a strong affinity for aptamer in the free state but not in the collapsed state.•This platform has the potential to achieve rapid, simple, and sensitive biological detection. We co...
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Veröffentlicht in: | Sensors and actuators. B, Chemical Chemical, 2018-07, Vol.265, p.20-26 |
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Sprache: | eng |
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Zusammenfassung: | •A novel aptasensor based on Graphene oxide quantum dots linked single-stranded DNA-binding protein is designed.•SSB has a strong affinity for aptamer in the free state but not in the collapsed state.•This platform has the potential to achieve rapid, simple, and sensitive biological detection.
We coupled single-stranded DNA-binding protein (SSB) with graphene oxide quantum dots (GOQDs) to form QDs–SSB, as a new type of fluorescent probe. Considering the superiority of FRET and the urgency of realizing kanamycin (KAN) sensitive detection, we combined this fluorescent probe with Apt-BHQ1, and applied the FRET principle to achieve ultra-trace detection of KAN. The superiority of detection depends on: SSB has a strong affinity for aptamer (apt) in free state but not in collapsed state; The aptamer is in a free state when not bound to the target and is folded when combined with the target. In the absence of KAN, the fluorescence of the QDs–SSB was quenched by Apt-BHQ1 via FRET. However, when the KAN was added to the QDs–SSB/apt-BHQ1 system, the combination of aptamer with KAN caused the aptamer to assume a folded state and lose its ability to bind with SSB, thereby reducing FRET and the fluorescence of QDs–SSB recovery. The detection limit of this aptasensor was low to 6 pg/mL with a linear range of 0.01–90 ng/mL. Moreover, the method had high selectivity, stability, and anti-interference. Thus, this is a promising method that can be widely used for biological detection. |
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ISSN: | 0925-4005 1873-3077 |
DOI: | 10.1016/j.snb.2018.03.029 |