Method for predicting isoflavone content in leguminous crop using prediction model of isoflavone content in leguminous crop

摘要

In the present invention, the organic solvent extracts of soybean and crop seeds are subjected to multivariate statistical analysis using FT-IR spectral data and quantitative analysis using HPLC analysis data, and the correlation between the two data is analyzed and analyzed using PLS regression analysis The present invention relates to a method for predicting an isoflavone content in a soybean and a crop which predicts an isoflavone content in an unknown soybean and a crop using a predictive model of the isoflavone content, It is possible to provide an efficient method which can quickly select the high-quality system and can save time and economical efficiency.