1. Designing a magnetic inductive micro-electrode for virus monitoring: modelling and feasibility for hepatitis B virus.
- Author
-
Alipour E, Shariatpanahi SP, Ghourchian H, Piro B, Fathipour M, Boutorabi SM, Znoyko SL, and Nikitin PI
- Subjects
- Animals, Antibodies, Immobilized immunology, Antibodies, Monoclonal immunology, Hepatitis B Surface Antigens immunology, Humans, Immunoglobulin Fab Fragments immunology, Limit of Detection, Magnetic Phenomena, Metal Nanoparticles chemistry, Mice, Microelectrodes, Biosensing Techniques methods, Hepatitis B Surface Antigens analysis, Hepatitis B virus chemistry, Immunoassay methods
- Abstract
A simple model is designed for an inductive immunosensor in which the magnetic particles are attached to the bioreceptors to form a sandwich on the surface of an inductor. The inductor consists of a coil covered on a silicon oxide wafer. The coil comprises 250 turns of a planar gold wire, which is approximately 200 nm thick and 392 mm long, placed in a circle with a diameter of 2 mm. The model is well characterised by controlling the geometrical and electrical parameters and also the permeability of the magnetic material. To evaluate the feasibility of the model for virus monitoring, a novel inductive immunosensor is designed and for the first time applied for the detection of hepatitis B surface antigen (HBsAg). At first, Fab' segment of primary anti-HBsAg is immobilised on the coil. Then, the coil is exposed to HBsAg and the complex is introduced to a secondary antibody conjugated with magnetic particles to form an immune-sandwich. Finally, the influence of magnetic particles on the coil inductance is recorded and used as a signal for HBsAg detection. The magnetic inductive immunosensor showed specific responses toward HBsAg with the detection limit of 1 ng mL
-1 , linear range of 1 to 200 ng mL-1 , and a sensitivity of 6 × 10-4 mL ng-1 . The experimental results showed a very good agreement with simulation data indicating the compatibility of sensor sensitivity to the expected theoretical values. Graphical abstract.- Published
- 2020
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