This invention relates to the field of
aerosol analysis technology, and in particular to a method for predicting and quantitatively detecting the
relative correction factor of monomeric raw materials in aerosols. The prediction method includes: obtaining the molecular structure of the target monomeric
raw material; calculating multiple predefined molecular structure descriptors; and substituting the molecular structure descriptors into a prediction model established through multivariate quadratic regression fitting to calculate the predicted
relative correction factor of the target
monomer. This invention also provides a quantitative detection method based on the prediction model. This method requires only molecular structure information to accurately predict the
relative correction factor, completely eliminating dependence on expensive and scarce chemical standards, significantly reducing detection costs, simplifying the process, and improving the efficiency of quantitative analysis of
aerosol components and product development.