[Express diagnostics of bovine leucosis by immune sensor based on surface plasmon resonance]

L V Pyrohova1, M F Starodub, V P Artiukh

  • 1Palladin Institute of Biochemistry, NAS of Ukraine, Kyiv.

Insights

A new surface plasmon resonance (SPR) immune sensor offers faster, more sensitive diagnostics for bovine leucosis by detecting antibodies against bovine leukaemia virus (BLV). This method surpasses traditional tests for farm-based screening.

Area of Science:

  • Veterinary Immunology
  • Biosensing Technology
  • Animal Disease Diagnostics

Background:

  • Bovine leucosis is a significant concern in cattle farming.
  • Current diagnostic methods like agar gel immunodiffusion (AGID) can be time-consuming and less sensitive.
  • Accurate and rapid detection of bovine leukaemia virus (BLV) is crucial for herd health management.

Purpose of the Study:

  • To develop and validate a novel immune sensor for the express diagnostics of bovine leucosis.
  • To detect antibodies against BLV in bovine blood serum.
  • To compare the performance of the developed immune sensor with the traditional AGID test.

Main Methods:

  • Development of a surface plasmon resonance (SPR) based immune sensor.
  • Detection of antibodies against bovine leukaemia virus (BLV) in serum samples.
  • Purification of industrially manufactured BLV antigen for sensor application.
  • Comparative analysis with the agar gel immunodiffusion (AGID) test.

Main Results:

  • The SPR immune sensor demonstrated higher sensitivity and speed compared to the AGID test.
  • Additional purification of BLV antigen was necessary for optimal immune sensor performance.
  • The developed sensor is suitable for on-farm bovine leucosis screening.
  • A minimal serum dilution of 1:500 was established for effective detection.

Conclusions:

  • The SPR-based immune sensor provides a superior alternative for rapid and sensitive bovine leucosis diagnostics.
  • This technology facilitates efficient screening of cattle populations at the farm level.
  • The optimized method allows for early detection and management of BLV infections.