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Method for quantitatively predicting cigarette cocoa aroma type

A technology of cocoa flavor and prediction method, applied in prediction, special data processing applications, instruments, etc., can solve the problems of inability to represent the overall sensory characteristics of cigarettes, qualitative and quantitative index detection is cumbersome, and prediction results are low, and achieve maintenance technical support , Eliminate the influence of human differences, the results are accurate and reliable

Inactive Publication Date: 2017-01-04
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 of 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 difficult to calculate
This leads to disadvantages such as low or unreliable prediction results.

Method used

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  • Method for quantitatively predicting cigarette cocoa aroma type
  • Method for quantitatively predicting cigarette cocoa aroma type
  • Method for quantitatively predicting cigarette cocoa aroma type

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Experimental program
Comparison scheme
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 City and other markets); the collected samples were subjected to sensory evaluation according to YC / T497-2014, and the sensory evaluation score range of cocoa flavor characteristics was determined to be 0.5-4.0 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 diethyl ether t...

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Abstract

The invention discloses a method for quantitatively predicting the cigarette cocoa aroma type based on the detected contents of 19 volatile components in cigarettes. The method includes the steps that firstly, the contents of 19 volatile components in tobacco shreds are measured according to a sample handling method established through independent development and the GC-MS / MS analysis method; then, the measured contents are substituted into a regression equation to calculate the numerical value of the cocoa aroma Y, namely, the predicted value of the score obtained in the method for quantitatively predicting the cigarette cocoa aroma type, wherein the score ranges from 0 to 10. The method for quantitatively predicting the cigarette cocoa aroma type has high goodness of fit with the actual sensory smoke panel test result, and the score of the mean absolute error of prediction is 0.1108; a beneficial technical support is provided for maintaining the stability of the sensory quality of cigarettes.

Description

technical field [0001] The invention belongs to the field of quantitative prediction and control of cocoa flavor type of cigarettes, and specifically relates to a method for quantitatively predicting cocoa flavor type of cigarettes based on the detection content of 19 volatile components in shredded tobacco of cigarettes and a method of constructing a regression model in combination with regression coefficients. 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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06Q10/04
CPCG06Q10/04G16C20/70
Inventor 李利君李超张承明者为王明锋张天栋许永张丹朱保昆王文元申晓锋孔维玲
Owner CHINA TOBACCO YUNNAN IND
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