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Cigarette-fruity-fragrance-type quantitative forecasting method

A prediction method and technology of fruit flavor type, 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, qualitative index detection, cumbersome quantification, and 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: 2017-01-11
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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  • Cigarette-fruity-fragrance-type quantitative forecasting method

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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 carried out sensory evaluation according to YC / T497-2014, and the sensory evaluation score range of its fruity style characteristics was determined to be 0.5-3.0 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 ethe...

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Abstract

The invention discloses a cigarette-fruity-fragrance-type quantitative forecasting method based on the detection content of 32 volatile components in a cigarette. The cigarette-fruity-fragrance-type quantitative forecasting method includes the steps that the contents of the 32 volatile components in cut tobacco are measured with the self-development-established sample treatment method and the GC-MS / MS analysis method, then the measured content is substituted into the regression equation for calculating the numerical value of the Y fruity fragrance, namely, the forecasted value of a score with the quantitative forecasting method for the cigarette fruity fragrance type, and the range of the forecasted value is 0 score to 10 scores. The cigarette-fruity-fragrance-type quantitative forecasting method and actual sense-organ smoking result are good in goodness fit, and the forecasted mean absolute error is 0.0820. The beneficial technical support is provided for maintaining the stability of the cigarette sensory quality.

Description

technical field [0001] The invention belongs to the field of quantitative evaluation and control of fruity flavor type of cigarettes, and in particular relates to a method for quantitatively predicting fruity flavor type of cigarettes based on the detection content of 32 volatile components in shredded tobacco of cigarettes, combined with regression coefficients to construct a regression model. 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 "Cigaret...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N30/06G01N30/86
CPCG01N30/02G01N30/06G01N30/8675
Inventor 张承明李超蒋次清熊文王璐王素娟文卫赵敏唐杰
Owner CHINA TOBACCO YUNNAN IND
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