1results about How to "Effective parsing" patented technology

The application discloses an electrochemical multi-component simultaneous quantitative detection system and method based on a one-dimensional convolutional neural network, and belongs to the technical field of electrochemical analysis. The method first collects square wave voltammetry (SWV) signals of a mixed sample; then, the signals are subjected to baseline correction, filtering and normalization pretreatment; then, a one-dimensional convolutional neural network (1D CNN) regression model is constructed and trained, the model can automatically learn and extract deep features related to the concentration of each component from the pretreated complex overlapping signals; finally, the trained model is used to predict the sample to be measured, and the concentration of each component is output. The application innovatively combines 1D CNN with SWV technology, effectively solves the problem of multi-component signal overlap, and significantly improves the detection accuracy, sensitivity and automation degree. The system is suitable for simultaneous rapid detection of various components such as antioxidants, and has wide popularization and application value.