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.
Mihaela PuiuLucian-Gabriel ZamfirValentin BuiculescuAngela BaracuCristina MitreaCamelia BalaPublished in: Sensors (Basel, Switzerland) (2018)
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.
Keyphrases
- data analysis
- low cost
- binding protein
- monoclonal antibody
- dna binding
- ionic liquid
- high throughput
- molecular dynamics
- escherichia coli
- staphylococcus aureus
- oxidative stress
- big data
- biofilm formation
- transcription factor
- magnetic nanoparticles
- loop mediated isothermal amplification
- brain injury
- signaling pathway
- endoplasmic reticulum stress
- candida albicans
- real time pcr