Localized surface plasmon resonance-based abscisic acid biosensor using aptamer-functionalized gold nanoparticles

PLoS One. 2017 Sep 27;12(9):e0185530. doi: 10.1371/journal.pone.0185530. eCollection 2017.

Abstract

Abscisic acid (ABA) plays an important role in abiotic stress response and physiological signal transduction resisting to the adverse environment. Therefore, it is very essential for the quantitative detection of abscisic acid (ABA) due to its indispensable role in plant physiological activities. Herein, a new detection method based on localized surface plasmon resonance (LSPR) using aptamer-functionalized gold nanoparticles (AuNPs) is developed without using expensive instrument and antibody. In the presence of ABA, ABA specifically bind with their aptamers to form the ABA-aptamer complexes with G-quadruplex-like structure and lose the ability to stabilize AuNPs against NaCl-induced aggregation. Meanwhile, the changes of the LSPR spectra of AuNP solution occur and therefore the detection of ABA achieved. Under optimized conditions, this method showed a good linear range covering from 5×10-7 M to 5×10-5 M with a detection limit of 0.33 μM. In practice, the usage of this novel method has been demonstrated by its application to detect ABA from fresh leaves of rice with the relative error of 6.59%-7.93% compared with ELISA bioassay. The experimental results confirmed that this LSPR-based biosensor is simple, selective and sensitive for the detection of ABA. The proposed LSPR method could offer a new analytical platform for the detection of other plant hormones by changing the corresponding aptamer.

MeSH terms

  • Abscisic Acid / analysis*
  • Aptamers, Nucleotide / chemistry*
  • Biosensing Techniques*
  • Enzyme-Linked Immunosorbent Assay
  • Gold / chemistry*
  • Limit of Detection
  • Microscopy, Electron, Transmission
  • Nanoparticles / chemistry*
  • Surface Plasmon Resonance / methods*

Substances

  • Aptamers, Nucleotide
  • Abscisic Acid
  • Gold

Grants and funding

This project was financially supported by the National Natural Science Foundation of China (31671581) to Jiandong Hu, Natural Science Foundation of Henan Province (162300410143) to Jiandong Hu, the Project of the Education Department of Henan Province (16A150011, 14A210010) to Jiandong Hu, State Key Laboratory of Wheat and Maize Crop Science Funding (SKL2014ZH-06, 39990026) to Jiandong Hu, Key Program for International Cooperation Projects of Henan Province (162102410087) to Jiandong Hu, China Postdoctoral Science Foundation (2017M612399) to Hao Zhang, Zhengzhou Science and Technology Program (141PPTGG405) to Wei Li, Lab Opening Experimental Project of Henan Agricultural University (KF1413) to Wei Li, and Henan Provincial Collaborative Innovation Center of Biomass Energy. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.