Published December 5, 2019 | Version v1
Journal article

A multi-channel localized surface plasmon resonance system for absorptiometric determination of abscisic acid by using gold nanoparticles functionalized with a polyadenine-tailed aptamer

  • 1. Henan Agricultural University. College of Mechanical and Electrical Engineering (China)
  • 2. Henan Agricultural University. College of Science (China)
  • 3. State Key Laboratory of Wheat and Maize Crop Science (China)
  • 4. University of Nairobi. Department of Physics (Kenya)

Description

A multi-channel localized surface plasmon resonance system is described for absorptiometric determination of abscisic acid (ABA). The system is making use of gold nanoparticles and consists of a broadband light source, a multi-channel alignment device, and a fiber spectrometer. The method is based on the specific interaction between an ABA-binding aptamer and ABA. This induces the growth of gold nanoparticles (AuNPs) functionalized with a polyadenine-tailed aptamer that act as optical probes. Different concentrations of ABA give rise to varied morphologies of grown AuNPs. This causes a change of absorption spectra which is recorded by the system. ABA can be quantified by measurement of the peak wavelength shifts of grown AuNPs. Under optimized conditions, this method shows a linear relationship in the 1 nM to 10 #mu#M ABA concentration range. The detection limit is 0.51 nM. The sensitivity of the ABA assay is strongly improved compared to the method based on salt-induced AuNP aggregation. This is attributed to the use of a poly-A-tailed aptamer and the catalytic ability of AuNPs. In the actual application, the ABA concentration of ABA in fresh leaves of rice is measured with the maximum relative error of 8.03% in comparison with the ELISA method.

Additional details

Identifiers

Publishing Information

Journal Title
Mikrochimica Acta
Journal Volume
187
Journal Issue
1
Journal Page Range
vp.
ISSN
0026-3672
CODEN
MIACAQ

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Copyright
Copyright (c) 2019 © Springer-Verlag GmbH Austria, part of Springer Nature 2019