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Quantitative forecasting method for fresh and sweet aroma type of cigarettes

A kind of green flavor type and prediction method technology, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problems of unable to represent the overall sensory characteristics of cigarettes, detection qualitative, cumbersome quantitative, difficult calculation, etc., to achieve maintenance technical support, The effect of eliminating the influence of human differences and simplifying the quantitative process

Inactive Publication Date: 2017-02-22
CHINA TOBACCO YUNNAN IND
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AI Technical Summary

Problems solved by technology

For example, Mo Hongwei from Harbin Engineering University provided a method for predicting cigarette sensory evaluation and smoke index through immune neural network algorithm (CN 101419209 A), but the ingredients included in the calculation modeling are only total sugar, More than 10 conventional chemical composition indicators such as total nicotine and reducing sugar, which cannot represent the overall sensory characteristics of cigarettes
Hu Shengguo from Yizhong Tobacco (Group) Co., Ltd. invented a BP neural network model combined with fuzzy set method, and used the model to predict the sensory evaluation and smoke index of cigarettes (CN 1525394 A), but it is used for There are more than 110 chemical components to be modeled and calculated, and the qualitative and quantitative index detection is cumbersome, and the calculation is difficult, which leads to the disadvantages of low or unreliable prediction results

Method used

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  • Quantitative forecasting method for fresh and sweet aroma type of cigarettes
  • Quantitative forecasting method for fresh and sweet aroma type of cigarettes
  • Quantitative forecasting method for fresh and sweet aroma type of cigarettes

Examples

Experimental program
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Effect test

Embodiment 1

[0022] Purchased 30 kinds of domestic commercially available finished cigarettes (boxes with tar 8-12mg / stick, boxes with nicotine 0.6-1.2mg / stick, boxes with CO 9-13mg / stick, respectively purchased from Kunming, Shanghai, and Changsha in 2015 cities and other markets); the collected samples were subjected to sensory evaluation according to YC / T497-2014, and the sensory evaluation score range of its Qingzixiang style characteristics was determined to be 0.5-3.5 points.

[0023] a. Sample processing and analysis

[0024] Randomly take newly opened cigarettes of the same brand for sample preparation. The sample preparation should be fast and accurate, and ensure that the samples are not contaminated. Prepare three parallel samples for each experimental sample. Peel off the cigarette paper and filter tip, take out the shredded tobacco, record the weight, and put it into three 100ml conical flasks respectively as samples. Add 1mL 60μg / mL internal standard naphthalene and 9mL diet...

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Abstract

The invention discloses a quantitative forecasting method for the fresh and sweet aroma type of cigarettes on the basis of detection of content of 17 volatile components in cigarettes. Firstly, the content of the 17 volatile components in the cigarettes is measured with an independently developed and established sample treatment method and a GC-MS / MS analysis method, and the measured content is introduced into a regression equation, the value of Y fresh and sweet aroma is calculated, that is, the forecasted value of the score of the quantitative forecasting method for the green aroma type of the cigarettes is calculated and ranges from 0 to 10. The quantitative forecasting method for the fresh and sweet aroma type of the cigarettes is better fit with sensory actual smoke panel test results, the forecasted mean absolute error is 0.1329 scores, and favorable technical support is provided for keeping the sensory quality of the cigarettes stable.

Description

technical field [0001] The invention belongs to the field of quantitative prediction and control of the green flavor type of cigarettes, and specifically relates to a method for quantitatively predicting the green flavor type of cigarettes based on the detection of the content of 17 volatile components in shredded tobacco and combining the regression coefficient to construct a regression model method. Background technique [0002] The key to the stability and improvement of cigarette product quality lies in the stability and improvement of sensory quality. How to establish an evaluation method for cigarette sensory quality has always been a research hotspot in the industry. At present, the evaluation of the sensory quality of cigarettes is mainly carried out through the sensory evaluation of experts, and relevant national and industry standards have been issued and implemented. For example, GB 5606.4-2005 "Cigarette Part 4: Sensory Technical Requirements" and YC / T 497-2014 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/02
CPCG01N30/02
Inventor 张承明李超秦云华许永王明锋者为张天栋李娥贤蒋次清邹楠赵辉郭青王璐高文军
Owner CHINA TOBACCO YUNNAN IND
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