A Quantitative Judgment Method of Flue-cured Tobacco Leaf Lush Flavor Type

Abstract

The invention discloses a method for quantitatively judging the type of concentrated fragrance of flue-cured tobacco leaves on the basis of content detection of 40 types of different substances. The method comprises the following steps: firstly measuring the content of 40 types of substances in the flue-cured tobacco leaves according to the industrial standards and literature methods of tobaccos, then respectively substituting the contents of 40 types of substances obtained by detection into three classification functions to calculate values of Y faint fragrance, Y concentrated fragrance and Y intermediate fragrance, and then comparing the three values; and when the value of Y concentrated fragrance is maximum, judging that the detected type of the fragrance of the flue-cured tobacco leaves is the concentrated fragrance. By virtue of the method disclosed by the invention, the correction rate of judgment for the type of the concentrated fragrance of the flue-cured tobacco leaves is more than 93%, and thus a beneficial technical support is provided for maintaining the stability of the sense quality of cigarettes.

Description

technical field [0001] The invention belongs to the field of quality evaluation and control of flue-cured tobacco leaf aroma, and specifically relates to a method for quantitatively judging the aroma type of flue-cured tobacco leaves based on the detection content of 40 different types of substances and combining the classification function coefficients to construct a Fisher classification function model Methods. Background technique [0002] According to the aroma style produced when it is burned, flue-cured tobacco leaves can be divided into three categories: strong-flavored, light-flavored, and intermediate-flavored. The flavor type of flue-cured tobacco leaves largely determines the sensory style characteristics of different cigarettes, is an important factor to maintain the stability of the sensory quality of cigarettes, and is also one of the elements for industrial production and formula selection. At present, the evaluation of flue-cured tobacco flavor is mainly car...

AI Technical Summary

Problems solved by technology

However, the substances used for regression judgment modeling are only aromatizing components, lacking comprehensive support for other types of substances, which is suspected of being partial and comprehensive. At the same time, more than 100 types of aromatizing components are used, and there are aromatizing component detection Problems such as slow speed, cumbersome qualitative retrieval, and difficult quantification; in addition, too many modeling variables will also lead to difficulties in regression modeling, so that the model is overfitted, resulting in low or unreliable prediction results.

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