Prediction method for chemical components of reconstituted tobacco leaf finished products through papermaking process including tobacco stem pretreatment

Abstract

The invention discloses a prediction method for chemical components of reconstituted tobacco leaf finished products through a papermaking process including tobacco stem pretreatment. The conventional chemical component content of reconstituted tobacco leaf formula raw materials is put into a pre-generated prediction model; by conducting the analysis of the chemical component content retention rate of the tobacco stem pretreatment process and the formula raw material transfer rate of the reconstituted tobacco leaf production process, the reconstituted tobacco leaf prediction model conducts the prediction of the chemical components of the reconstituted tobacco leaf finished products through the papermaking process. According to the prediction method, in combination with the tobacco stem pretreatment process and the actual conditions of the reconstituted tobacco production process, the formula design of the reconstituted tobacco leaves can be effectively assisted, and the quality stability of the reconstituted tobacco leaf products can be improved.

Description

technical field [0001] The invention relates to the technical field of manufacturing reconstituted tobacco leaves by papermaking method, in particular to a method for predicting the chemical composition of the finished product of reconstituted tobacco leaves by papermaking method and the establishment of a model. Background technique [0002] The detection of the chemical composition content of reconstituted tobacco leaves by papermaking method is one of the important reference standards for the qualification of reconstituted tobacco leaf products. The chemical composition content of reconstituted tobacco leaves by papermaking method is mainly determined by tobacco raw materials, aroma raw materials and additives. Depends on the tobacco raw material. At present, the research results of traditional statistical methods such as simple, correlation analysis, multi-regression regression, stepwise regression analysis, and factor analysis are used to analyze the relevant factors af...

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Problems solved by technology

At present, the research results of traditional statistical methods such as simple, correlation analysis, multi-regression regression, stepwise regression analysis, and factor analysis are used to analyze the relevant factors affecting the quality of reconstituted tobacco leaves and give the degree of influence. Prediction of Chemical Composition Content in Tobacco Leaf Finished Products

The traditional papermaking reconstituted tobacco production considers the diversification of papermaking reconstituted tobacco raw materials, but does not consider the tobacco stem pretreatment process involved in the papermaking reconstituted tobacco production process, which cannot pretreat tobacco stems. Prediction of Chemical Composition of Reconstituted Tobacco Leaf Raw Materials by Papermaking Method

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