Zhenjiang vinegar is one of the most representative types of vinegar in China. It is famous for certain characteristics, such as being sour but not astringent, fragant and a little sweet, having a thick color and delicious taste, and improvement with age. At present, Zhenjiang aromatic vinegar has a great diversity of types and quality on the market. The disorder of competition order in vinegar industry caused by irregular vinegar production process and vinegar age labeling in Zhenjiang occurs from time to time, which brings some troubles to consumers and producers. It is an urgent need to discriminate the production processes and ages of vinegar. In this paper, SPME-MS technology was used to obtain the ion abundance of Zhenjiang vinegar using different production processes with five vinegar ages (fresh, six month-aged, two year-aged, three year-aged, and four year-aged). Three chemometric methods, linear discriminant analysis (LDA), support vector machine (SVM) and back-propagation neural network (BPANN), were used to establish a discriminant model. The results showed the recognition rate of train group and test group in the BPANN model reached 100% and 99%, respectively, when it comed to identifying the different production processes or five vinegar ages of Zhenjiang aromatic vinegar. To identifying two different production processes and five vinegar ages of Zhenjiang aromatic vinegar simultaneously, the performance of the LDA model was 100%. Therefore, the rapid identification of Zhenjiang vinegar with different production processes and vinegar ages can be achieved by SPME-MS combined with chemometric.

The discrimination of production process and age of Zhenjiang aromatic vinegar based on SPME-MS

2019 Fall National Meeting

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