A Discrimination Method of Aroma Grade of White Peony Based on Electronic Nose Detection Information

Abstract

The invention relates to a white peony fragrance grade discriminating method based on electronic nose detection information.The method comprises the steps of sample preparation, collection of detection information and building of a Logistic regression discrimination connection function and the discriminating result probability of all grades of samples.According to the discriminating method, the problem that manual review cannot be carried out for a long time due to sensory fatigue is effectively solved, discriminating result errors of different review staff are well eliminated, and the stability and uniformity of white peony fragrance grade discriminating results are improved; the whole review process is convenient and fast, consumed time is short, and the discriminating time for each sample is shorter than 5 min after the sample is manufactured; model analysis results prove that stability is good, and the uniformity is 90% higher than manual review result uniformity.The white peony fragrance grade discriminating method has the good practical value, and has the great significance in application of an automatic control means in the white peony production process and final tea product quality evaluation expression and selling circulation.

Description

technical field [0001] The invention relates to a method for discriminating the grade of tea, in particular to a method for discriminating the fragrance grade of white peony based on electronic nose detection information, which belongs to the technical field of food. Background technique [0002] White peony belongs to the category of white tea, usually made from Fuding Dabai tea, Fuding Dahao tea, Fuan Dabai tea, Zhenghe Dabai tea or Fujian Narcissus tea tree varieties with one bud, one leaf and two leaves. Because the silver pekoe buds between the green leaves are shaped like flowers, and after brewing, the green leaves support the buds, just like the buds that have just opened, so it is named "White Peony". [0003] Traditionally, the evaluation of aroma grades needs to rely on the "sense" of the reviewers. Not only the review period is long, but also it is easily interfered by various subjective and external factors. The "consistency" and "quantification" of the data are...

AI Technical Summary

Problems solved by technology

[0003] Traditionally, the evaluation of aroma grades needs to rely on the "sense" of the reviewers. Not only the review period is long, but also it is easily interfered by various subjective and external factors. The "consistency" and "quantification" of the data are insufficient, making it difficult to Objectively and stably characterize its actual quality, so it is necessary to find a standardized and easy-to-operate method to achieve stable discrimination of the grade of white peony fragrance