The application discloses a
dandelion medicinal material effective component rapid determination method based on color chroma values, and relates to the technical field of traditional Chinese medicinal
material quality detection. * , a * , b * Chroma values of
dandelion medicinal material
powder are collected, and the contents of
chicoric acid, monocaffeoyl
tartaric acid and
chlorogenic acid are determined by using
high performance liquid chromatography as true values; subsequently, a neural network prediction model with chroma values as input and effective component contents as output is constructed and trained, preferably a single
hidden layer structure; finally, the model is used for fast and nondestructive content prediction of unknown samples; compared with a traditional
multiple linear regression model, the neural
network model used in the application has significantly higher prediction accuracy, and the
test set R² is all more than 0.86; the application realizes fast, nondestructive, low-cost and high-precision detection of
dandelion medicinal material effective components, and is suitable for multiple scenes such as
raw material quality control, market supervision, optimal harvest period judgment and fast pricing grading.