Prediction method of hydrocyanic acid 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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However, according to a large number of literature and related materials, there

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

Examples

Experimental program
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Embodiment

[0076] (1) Pretreatment of samples to be tested

[0077] 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.

[0078] (2) Select a sample of uncured tobacco leaves to be tested for determination of 6 chemical components

[0079] Chemical components of 6 kinds of first-cured tobacco leaves: cut tobacco moisture, cut tobacco chlorine, cut tobacco malonic acid, cut tobacco volatile acid, cut tobacco potassium, and cut tobacco total nitrogen, determined by YC / T 31-1996 oven method, and by YC / T162-2002 continuous flow Determination of chlorine by microwave-assisted derivatization-gas chromatography, determination of non-volatile organic ...

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Abstract

The invention relates to a prediction method of hydrocyanic acid 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 6 chemical components (water, chlorine, malonic acid, volatile acid, potassium and total nitrogen) of a sample to be detected; calculating network values of 11 nodes of a hidden layer according to the detection results of the 6 chemical components and coefficients of input layers of a model; converting the network values of the 11 nodes of the hidden layer to output values of the 11 nodes of the hidden layer; and calculating to obtain a predicted value of the hydrocyanic acid release amount in the smoke according to the output values of the 11 nodes of the hidden layer and coefficients of output layers of the model. According to the method, constant detection of the 6 tobacco chemical components of the sample to be detected is performed, the hydrocyanic acid release amount in the smoke can be predicted through the model, and the possible hydrocyanic acid 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 hydrocyanic acid in mainstream smoke of uncured tobacco leaves, and belongs to the technical field of tobacco. Background technique [0002] Hydrocyanic acid is an important harmful substance in mainstream cigarette smoke. It is listed as one of the seven harmful components of cigarette smoke for evaluating the safety of cigarettes. Among the seven harmful components, its content is relatively high and its toxicity is the highest. At present, my country has established industry standards for the determination of hydrocyanic acid in mainstream cigarette smoke. However, usually the determination of the content of hydrocyanic acid in flue gas requires more cumbersome steps such as rolling the sample, suction and capture by smoking machine, and pre-treatment of the captured material before sampling. Relatively speaking, the determination steps of some constant chemical components in to...

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Application Information

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IPC IPC(8): G01N33/00
Inventor 张涛许永刘巍杨帅王岚胡守毅马燕孙桂芬曹红云
Owner YUNNAN RES INST OF TOBACCO SCI
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