Prediction method of ammonia release amount in main stream smoke of flue-cured tobacco leaves

A prediction method, mainstream smoke technology, applied in the field of tobacco

Active Publication Date: 2013-01-16
YUNNAN RES INST OF TOBACCO SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, according to a large number of literature and related materials, there are still few studies on the relationship between such complex change systems.

Method used

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  • Prediction method of ammonia release amount in main stream smoke of flue-cured tobacco leaves
  • Prediction method of ammonia release amount in main stream smoke of flue-cured tobacco leaves
  • Prediction method of ammonia release amount in main stream smoke of flue-cured tobacco leaves

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0079] (1) Pretreatment of samples to be tested

[0080] The pre-treatment of the raw flue-cured tobacco leaves to be tested involves three steps: manual tearing, stem removal, and shredding. The processed tobacco slices (silk) are immediately sealed, labeled, and stored uniformly without confusion. Before and after rehydration and shredding of different smoke samples, the equipment is carefully cleaned to ensure that the smoke samples are not skewered.

[0081] (2) Determination of 8 chemical components of the sample to be tested

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Abstract

The invention relates to a prediction method of ammonia release amount in main stream smoke of flue-cured tobacco leaves. The method comprises the steps of subjecting tobacco leaves to be cured firstly to sample pre-processing such as manual piece tearing, stalk removing and tobacco cutting; detecting 8 chemical components (total nitrogen, rutin, chlorine, belladonna, linolenic acid, malonic acid, potassium and linoleic acid) of a sample to be detected; calculating network values of 7 nodes of a hidden layer according to the detection results of the 8 chemical components and coefficients of input layers of a model; converting the network values of the 7 nodes of the hidden layer to output values of the 7 nodes of the hidden layer; and calculating to obtain a predicted value of the ammonia release amount in the smoke according to the output values of the 7 nodes of the hidden layer and coefficients of output layers of the model. According to the method, the ammonia release amount in the smoke can be predicted through the model, and the possible ammonia accumulated content in cigarette finished products produced in future can be predicted effectively according to raw materials of the flue-cured tobacco leaves, so that raw material choosing in a producing process is guided.

Description

technical field [0001] The invention relates to a method for predicting the release amount of ammonia in mainstream smoke of uncured tobacco leaves, belonging to the technical field of tobacco. Background technique [0002] Ammonia in mainstream cigarette smoke is one of the 44 harmful components. Determining the ammonia content in smoke is of great significance to the study of smoking and health, and to explore effective ways to reduce the harmful components of smoke. At present, my country has established industry standards for the determination of ammonia in mainstream cigarette smoke. However, usually the determination of ammonia content in flue gas requires more cumbersome steps such as sample rolling, smoking machine suction capture, and pre-treatment of the captured material into the sample. Relatively speaking, the determination steps of some constant chemical components in tobacco are relatively simple. Some constant chemical components in tobacco, such as nitrog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00
Inventor 张涛张霞陈进雄刘巍曹红云杨帅王岚胡守毅马燕孙桂芬
Owner YUNNAN RES INST OF TOBACCO SCI
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