An Immunosensing System Using Stilbene Glycoside as a Fluorogenic Substrate for an Enzymatic Reaction Model
Xue-Hui Zhan1, Fu-Chun Gong2, Shu-Zhen Tan1
1College of Chemistry and Biological Engineering, Changsha University of Science and Technology, Changsha, 410076, Hunan, P.R. China.
Sensors (Basel, Switzerland)
|November 23, 2016
Summary
Stilbene glycoside (TBG) is a novel fluorogenic substrate for horseradish peroxidase (HRP) detection. This natural product shows potential in enzyme-linked immunosensing systems for detecting Brucella melitensis antibodies.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Biosensors
Background:
- Horseradish peroxidase (HRP) is widely used in immunoassays.
- Development of novel fluorogenic substrates can enhance assay sensitivity and efficiency.
- Natural products offer potential for new biosensing applications.
Purpose of the Study:
- To evaluate stilbene glycoside (TBG) as a fluorogenic substrate for HRP.
- To develop and assess an enzyme-linked immunosensing system using TBG.
- To compare TBG with existing HRP substrates.
Main Methods:
- TBG was tested as a substrate for HRP-catalyzed reactions.
- A competitive immunoassay was designed using HRP-conjugated Brucella melitensis antibody (HRP-BrAb) and immobilized antigen (BrAg).
- The immunosensing system utilized a graphite-based electrode modified with BrAg and HRP-BrAb.
Main Results:
- TBG demonstrated effective HRP detection, catalyzing a fluorogenic reaction with H₂O₂.
- The enzyme-linked immunosensing system showed a linear detection range of 3.5´10⁻⁸~7.6´10⁻⁶ g/L for Brucella melitensis antibody.
- A low detection limit of 1.7´10⁻⁹ g/L was achieved, with good reproducibility (RSD=3.8%) and regenerable sensing surface.
Conclusions:
- Stilbene glycoside (TBG) is a viable and effective fluorogenic substrate for HRP.
- The developed HRP-based immunosensing system using TBG is sensitive and reproducible.
- TBG offers a promising alternative for fluorometric enzyme-linked immunosensing applications, including clinical diagnostics.
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