Significance Testing and Multivariate Analysis of Datasets from Surface Plasmon Resonance and Surface Acoustic Wave Biosensors: Prediction and Assay Validation for Surface Binding of Large Analytes

Sensors (Basel). 2018 Oct 19;18(10):3541. doi: 10.3390/s18103541.

Abstract

In this study, we performed uni- and multivariate data analysis on the extended binding curves of several affinity pairs: immobilized acetylcholinesterase (AChE)/bioconjugates of aflatoxin B₁(AFB₁) and immobilized anti-AFB₁ monoclonal antibody/AFB₁-protein carriers. The binding curves were recorded on three mass sensitive cells operating in batch configurations: one commercial surface plasmon resonance (SPR) sensor and two custom-made Love wave surface-acoustic wave (LW-SAW) sensors. We obtained 3D plots depicting the time-evolution of the sensor response as a function of analyte concentration using real-time SPR binding sensograms. These "calibration" surfaces exploited the transient periods of the extended kinetic curves, prior to equilibrium, creating a "fingerprint" for each analyte, in considerably shortened time frames compared to the conventional 2D calibration plots. The custom-made SAW sensors operating in different experimental conditions allowed the detection of AFB₁-protein carrier in the nanomolar range. Subsequent statistical significance tests were performed on unpaired data sets to validate the custom-made LW-SAW sensors.

Keywords: aflatoxin B1; significance testing; surface acoustic wave; surface plasmon resonance.

MeSH terms

  • Acetylcholinesterase / metabolism
  • Aflatoxin B1
  • Animals
  • Biological Assay / methods*
  • Biosensing Techniques / methods*
  • Calibration
  • Electrophorus / metabolism
  • Kinetics
  • Multivariate Analysis
  • Sound
  • Surface Plasmon Resonance / methods*

Substances

  • Aflatoxin B1
  • Acetylcholinesterase