Grouping method of tobacco raw material leaf component

Abstract

The invention relates to a grouping method of leaf components of a tobacco leaf raw material. The method comprises the following steps: sampling a tobacco leaf raw material; preparing the sample of the tobacco leaf raw material; detecting aroma components in the tobacco leaf raw material, which is to detect marked intermediate product and marked end product transformed by carotenoid aroma precursor; cluster grouping; and leaf grouping. According to the method, the defects in the prior art, such as priority is given to human decision making experience, a reliable sense and chemical evaluation guiding basis is deficient, and more adverse influence of artificial subjective factors exist and the like, can be overcome. The sense characteristics of the leaf formulation module realizes effective complementation after pertinent treatment in each step, and sense deficiency accumulation is avoided, so that effective regulation and integration of the internal quality of the leaf formulation module is realized, the quality level of the processing process is further played, and the cigarette product quality is stabilized and improved.

Description

technical field [0001] The invention relates to the processing of shredded cigarettes, in particular to a method for grouping leaf components in the grouping process. Background technique [0002] 1. The traditional grouping method of silk-making formula leaves is mainly based on the sensory characteristics of tobacco leaf raw materials. Through sensory evaluation and smoking of each single-grade tobacco leaf raw material, the silk-making formula leaf groups are grouped according to their sensory characteristics, grades, and parts. Module division. In 2002, my country's tobacco industry clearly stated that China Tobacco should take "Chinese-style" cigarettes as its development direction, and actively develop a number of key methods and patents with independent intellectual property rights that have a major role in promoting technological progress and sustainable development of the industry, making famous and high-quality cigarettes The quality control ability has been signif...

AI Technical Summary

Problems solved by technology

[0010] 1. After module division based on the sensory characteristics of tobacco leaf raw materials, the tobacco leaf raw materials contained in the formula modules of each leaf group have strong similarities in sensory characteristics and grade parts, and the grouping basis does not realize the differentiation between tobacco leaf raw materials with different characteristics. The important role played by complementarity and coordination in the process of forming and improving the functional characteristics of leaf group formula modules is not conducive to the scientific and rational development of the potential of tobacco leaf raw materials, but also limits or reduces the aroma type of each leaf group formula module to a certain extent. In addition, the sensory evaluation results of some brands of cigarette leaf formula modules show that after grouping according to this grouping basis, it is very likely that the tobacco leaf raw materials in the leaf formula module will produce sensory defects. phenomenon, and ultimately lead to the reduction of sensory differences between modules and the functional characteristics of modules, which is not conducive to the effective use of subsequent targeted processing effects

[0011] 2. Since the grouping is mainly based on the sensory characteristics of tobacco leaf raw materials, subjective factors such as differences in sensory evaluation skills and personal preferences of the smokers during the sensory evaluation process will seriously affect the accuracy and reliability of the grouping results, and In the end, it will have a relatively large negative impact on the grouping effect

Images