Abstract:For the rapid detection of sesame oil flavoring, a real-time and accurate detection of sesame oil flavoring system was developed. The system mainly consists of the data acquisition part and data processing components. The data acquisition part included gas sensor and the host computer; data processing part include a three-layer BP neural network which was trained in Matlab. During the experiment, 8 samples of sesame oil flavoring with different proportions and the standard samples were prepared for the neural network training. The test samples were verified. The system provided a basis method for the rapid detection of sesame oil flavoring.
