The invention discloses a
veterinary drug residue detection method, and relates to the technical field of
veterinary drug residue detection, and the
veterinary drug residue detection method comprises the following steps: firstly, based on preset sensitivity, carrying out veterinary
drug residue detection on a detection sample, and obtaining veterinary
drug residue information in the sample in real time; according to the method, the analysis set is established for the veterinary
drug residue information obtained in real time, and the
data information in the analysis set is preprocessed, so that the residue data is more accurate, and the reliability of subsequent
feature extraction and analysis is ensured. According to the method, the dynamic sensitivity adjustment of the low-concentration veterinary drug residues is realized by combining the preset sensitivity preliminary detection and the
machine learning model intelligent evaluation. The
system flexibly adjusts sensitivity according to actual conditions of samples to ensure an optimal working state. Through real-
time data acquisition,
feature extraction and quantification and in combination with
machine learning evaluation, low-concentration residues can be accurately identified, and the risk of missing detection is avoided. According to the method, the detection accuracy and reliability in a complex sample matrix are improved, and
food safety and
consumer health are effectively guaranteed.