The invention relates to the technical field of food adulteration detection, and discloses a
nuclear magnetic resonance detection method for adulterated non-
dairy cream in
single cream. According to the method, a
nuclear magnetic resonance spectrogram fingerprint database containing standard characteristic peak information and weight coefficients of various characteristic substances is established. The method comprises the following steps: performing
nuclear magnetic resonance detection on a to-be-detected sample to obtain a one-dimensional
hydrogen spectrum, preprocessing, and intercepting a specific
chemical shift interval in sections; baseline calibration and
noise suppression are independently carried out on each segment, then
convolution alignment with a standard characteristic peak is carried out, peak position offset and
peak area proportion are extracted, and a multi-dimensional characteristic comparison vector is formed. And carrying out composite operation on the vector and the
weight coefficient, calculating a comprehensive abnormal
score, carrying out grading evaluation according to a preset threshold value, and outputting a judgment report. Through segmented fine
processing and a multi-feature weighted fusion model, the detection sensitivity, objectivity and accuracy of trace adulteration are improved, and quantitative judgment of adulteration conditions is realized.