scholarly journals Femtomolar and selective dopamine detection by a gold nanoparticle enhanced surface plasmon resonance aptasensor

2018 ◽  
Author(s):  
Yong Cao ◽  
Mark T. McDermott

ABSTRACTUltrasensitive and selective detection and quantification of dopamine (DA) plays a key role in monitoring neurodegenerative diseases. However, the detection limit reported for DA detection is typically in the lower nM range. Pushing the detection limit to pM or lower for this particular target to cover the physiological levels (< 130 pM) is significant. Herein, DA DNA aptamer (DAAPT) gold nanoparticle (AuNP) conjugate is utilized to enhance the surface plasmon resonance (SPR) signal, which enables to detect and quantify DA in the femtomolar (200 fM) to picomolar range. To the best of our knowledge, this is the lowest detection limit achieved for SPR sensing of dopamine. The as-prepared 10 nm DAAPT-AuNP conjugate demonstrates strong binding affinity (Kd = 3.1 ± 1.4 nM) to the complementary DNA (cDNA) probe on gold chip. The cDNA probe is immobilized to the chip via polydopamine surface chemistry, which allows the Michael addition of any primary amine-terminated biomolecules. By adjusting the concentration of the DAAPT-AuNP conjugate, two calibration curves are generated with dynamic ranges from 100 µM to 2 mM, and from 200 fM to 20 nM, respectively. Both calibration curves have negative slopes, showing good agreement to a dose-response curve in an enzyme inhibition assay. In addition, the sensing strategy is evaluated to be specific for DA detection using a series of DA analogs and other metabolites as potential interferences.

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4348
Author(s):  
Piotr Mrozek ◽  
Ewa Gorodkiewicz ◽  
Paweł Falkowski ◽  
Bogusław Hościło

Comparative analysis of the sensitivity of two surface plasmon resonance (SPR) biosensors was conducted on a single-metallic Au sensor and bimetallic Ag–Au sensor, using a cathepsin S sensor as an example. Numerically modeled resonance curves of Au and Ag–Au layers, with parameters verified by the results of experimental reflectance measurement of real-life systems, were used for the analysis of these sensors. Mutual relationships were determined between ∂Y/∂n components of sensitivity of the Y signal in the SPR measurement to change the refractive index n of the near-surface sensing layer and ∂n/∂c sensitivity of refractive index n to change the analyte’s concentration, c, for both types of sensors. Obtained results were related to experimentally determined calibration curves of both sensors. A characteristic feature arising from the comparison of calibration curves is the similar level of Au and Ag–Au biosensors’ sensitivity in the linear range, where the signal of the AgAu sensor is at a level several times greater. It was shown that the influence of sensing surface morphology on the ∂n/∂c sensitivity component had to be incorporated to explain the features of calibration curves of sensors. The shape of the sensory surface relief was proposed to increase the sensor sensitivity at low analyte concentrations.


2016 ◽  
Vol 4 (44) ◽  
pp. 10562-10562
Author(s):  
Chih-Tsung Yang ◽  
Lin Wu ◽  
Ping Bai ◽  
Benjamin Thierry

Correction for ‘Investigation of plasmonic signal enhancement based on long range surface plasmon resonance with gold nanoparticle tags’ by Chih-Tsung Yang et al., J. Mater. Chem. C, 2016, 4, 9897–9904.


2014 ◽  
Vol 86 (13) ◽  
pp. 6633-6639 ◽  
Author(s):  
Peimei Da ◽  
Wenjie Li ◽  
Xuan Lin ◽  
Yongcheng Wang ◽  
Jing Tang ◽  
...  

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