A test kit for differentiating between porcine senecavirus infection or vaccine immunization

By using the tandem expression of the dominant epitope regions of VP2-VP3-VP1 and 3AB-3C recombinant proteins in ELISA detection, the problem of the inability to distinguish between natural infection and vaccine immunization of porcine Seneca virus in existing technologies has been solved, achieving efficient and accurate detection results.

CN120369942BActive Publication Date: 2026-07-10YANGZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
YANGZHOU UNIV
Filing Date
2025-04-23
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing serological testing methods for porcine Seneca virus (SVA) cannot effectively distinguish between natural infection and vaccine immunization, leading to false negative results and diagnostic difficulties.

Method used

Recombinant VP2-VP3-VP1 and 3AB-3C proteins coated with antigens were used to distinguish between porcine Seneca virus infection and vaccine immunization using ELISA. The dominant epitope regions of VP2-VP3-VP1 and 3AB-3C proteins were expressed in tandem, and precise detection was achieved by combining specific dilution ratios with enzyme-labeled secondary antibodies.

Benefits of technology

It achieves precise differentiation between porcine Seneca virus infection and vaccine immunization, with good specificity, sensitivity, repeatability and reproducibility, and has a wider range of applications, effectively distinguishing between natural infection and vaccine immunization.

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Abstract

The application discloses a detection kit capable of distinguishing porcine Senecavirus infection or vaccine immunization, and belongs to the technical field of animal virus antibody detection. VP2-VP3-VP1 and 3AB-3C recombinant proteins used in the application have stronger antigenicity and diagnostic sensitivity when used for detecting porcine Senecavirus, can effectively distinguish natural infection from vaccine immunization, and thus realize accurate detection. In addition, the detection method also has good specificity, analysis sensitivity, repeatability and reproducibility, has a wider application range, and has important application value.
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