The invention provides a method for detecting a
virus inactivation effect by an ELISA (
Enzyme-Linked Immunosorbent
Assay) method, which comprises the following steps: acquiring a to-be-detected inactivated
virus sample, extracting an
antigen component from the sample, and detecting an
antigen structure change characteristic value through a high-
throughput mass spectrometry analysis technology to obtain
antigen degradation degree data; obtaining a sample subjected to preliminary inactivation, and detecting the antigen content change trend through an
enzyme-linked immunosorbent
assay to obtain content change curve data; detecting the residual quantity of
viral nucleic acid by a real-time fluorescent quantitative PCR (
Polymerase Chain Reaction) technology aiming at the
immunogenicity retained sample to obtain
nucleic acid degradation degree data; acquiring
nucleic acid degradation degree data, classifying the relationship between
nucleic acid residues and
infectivity by adopting a
support vector machine algorithm, and judging that the inactivation effect is completely completed if the
classification result shows that the
infectivity is lost; according to the antigen content change trend, the
immunogenicity index and the nucleic acid degradation degree data, a weighted fusion
algorithm is adopted to integrate multi-dimensional detection results, and a comprehensive inactivation effect
score is obtained.