Filux C1 Biosensor is an advanced biosensing system that uses the patented FO-PPR (Fiber Optic-Particle Plasmon Resonance) technology: a simple label-free biosensing technology that measures light intensity changes resulting from a molecular interaction of free analyte and ligand that is immobilized onto the surface of AuNPs coated optical fiber.
Unlike most other SPR systems, FOPPR measures light intensity changes rather than light angle changes. This makes the optical components for SPR signal detection simpler and cost effective.
▪ Main Features
15 Minutes Protocol
3 Simple Steps: Chip Setup, Sample Injection, Detection
Label-Free Patented Technology
Portable Device with Affordable Chips & Assay Kits
Picogram Level Sensitivity
▪ How Does It Work?
The sensing mechanism of the highly sensitive fiber optic-particle plasmon resonance sensor (FOPPR) relies on interrogating the plasmonic scattering of light from gold nanoparticles (AuNPs). The scattered lights on the optic fiber is a response due to a change in the refractive index or molecular binding event in real-time.
▪ Experimenral Results
Temporal response of the biosensor signal with serial injection of samples with refractive index of (A) ddH₂O, (B) 6.8% sucrose, (C) 13.25% sucrose, (D) 19.45% sucrose, (E) 25.4% sucrose, (F) 31.05% sucrose, (G) 36.25% sucrose, (H) 41.7% sucrose and (I-K) ddH₂O. The measuring time interval was 300 sec.
Immunoglobin G (IgG)
Binding of (A) 8 ×10-7 g/mL, (B) 1 ×10-6 g/mL, (C) 2 ×10-6 g/mL, (D) 4 ×10-6 g/mL, (E) 6 ×10-6 g/mL, (F) 8 ×10-6 g/mL, (G) 1 ×10-5 g/mL of 150 kDa anti-IgG (goat polyclonal antibody) and (H) PBS to 150 kDa IgG (mouse polyclonal antibody) that was conjugated onto AuNPs surface. The measuring time interval was 900 sec.
The sensing strategy of the highly sensitive fiber optic-particle plasmon resonance sensor (FO-PPR) relies on interrogating the plasmonic scattering of light from gold nanoparticles (AuNPs) on the optical fiber in response to the surrounding refractive index changes or molecular binding events in real-time.
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