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Method for assisting cigarette formula by adopting SIMCA (Soft Independent Modeling of Class Analogy) based on Near-infrared spectral information

A near-infrared spectroscopy and formulation technology is applied in the field of auxiliary cigarette formulations to achieve the effects of clear spectral profile changes, reliable methods and high resolution

Active Publication Date: 2013-01-09
CHINA TOBACCO FUJIAN IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Combining the near-infrared spectrum information of tobacco leaves with the SIMCA pattern recognition method for the research of cigarette leaf group formulation has not been reported yet

Method used

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  • Method for assisting cigarette formula by adopting SIMCA (Soft Independent Modeling of Class Analogy) based on Near-infrared spectral information
  • Method for assisting cigarette formula by adopting SIMCA (Soft Independent Modeling of Class Analogy) based on Near-infrared spectral information
  • Method for assisting cigarette formula by adopting SIMCA (Soft Independent Modeling of Class Analogy) based on Near-infrared spectral information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Embodiment 1: Taking Fujian Sanming Youxi B12F-2009T as the sample to be replaced

[0023] A method for SIMCA-assisted cigarette formulation based on near-infrared spectrum information, the method is realized through the following steps:

[0024] (1) Modeling sample preparation: Collect 205 kinds of tobacco samples from China Tobacco Fujian, and prepare modeling samples according to "YC / T31-1996 Preparation of Tobacco and Tobacco Products Samples and Moisture Determination - Oven Method";

[0025] (2) Spectrum scanning: Scan the modeling sample by a near-infrared spectrometer to obtain its near-infrared spectrum. The working parameters of the instrument are: spectral range 10000-3800cm -1 , resolution 4cm -1 , scan 30 times to get the average spectrum, each sample scans to obtain the average spectrum of 5, and each sample is regarded as a class;

[0026] (3) Spectral preprocessing: Multivariate signal correction is used to eliminate the difference caused by sample inh...

Embodiment 2

[0034] Embodiment 2: Taking Guizhou Wuchuan C2FL-2009T as the sample to be replaced

[0035] A method for SIMCA-assisted cigarette formulation based on near-infrared spectrum information, the method is realized through the following steps:

[0036] (1) Modeling sample preparation: Collect 205 kinds of tobacco samples from China Tobacco Fujian, and prepare modeling samples according to "YC / T31-1996 Preparation of Tobacco and Tobacco Products Samples and Moisture Determination - Oven Method";

[0037] (2) Spectrum scanning: Scan the modeled sample with a near-infrared spectrometer to obtain its near-infrared spectrum. The working parameters of the instrument are: spectral range 10000-4000cm -1 , resolution 8cm -1 , scan 50 times to get the average spectrum, each sample scans to obtain 10 average spectra, and each sample is regarded as a class;

[0038] (3) Spectral preprocessing: standard regular transformation is used to eliminate the difference caused by sample inhomogeneity...

Embodiment 3

[0046] Embodiment 3: Taking Yunnan Yiliang C3F-2009T as the sample to be replaced

[0047] A method for SIMCA-assisted cigarette formulation based on near-infrared spectrum information, the method is realized through the following steps:

[0048] (1) Modeling sample preparation: Collect 205 kinds of tobacco samples from China Tobacco Fujian, and prepare modeling samples according to "YC / T31-1996 Preparation of Tobacco and Tobacco Products Samples and Moisture Determination - Oven Method";

[0049] (2) Spectrum scanning: Scan the modeling sample with a near-infrared spectrometer to obtain its near-infrared spectrum. The working parameters of the instrument are: spectral range 9500-4000cm -1 , resolution 16cm -1 , scan 80 times to get the average spectrum, each sample scans to obtain 15 average spectra, and each sample is regarded as a class;

[0050] (3) Spectral preprocessing: standard regular transformation is used to eliminate the difference caused by sample inhomogeneity,...

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Abstract

The invention discloses a method of assisting cigarette formula by adopting an SIMCA (Soft Independent Modeling of Class Analogy) based on Near-infrared spectral information, comprising the following steps of: (1) modeling sample preparation; (2) spectrum scanning; (3) spectrum pretreatment; (4) principal component analysis; (5) tobacco raw material database establishment; (6) substitution rule setting; and (7) formula assisting: during the tobacco raw material substitution, scanning the to-be-detected sample according to the steps 1-4 by taking a to-be-substituted tobacco sample as a target, obtaining the near-infrared spectral data after treating, setting the substitution rule on the basis of the information of the substituted sample according to the step 6, comparing the near-infrared data of the substituted sample with a mathematical model in a memory to obtain replaceable tobacco samples, sequencing the samples according to mahalanobis distance, wherein the sample with smaller mahalanobis distance is more similar, and finally carrying out sensory taste. The method disclosed by the invention is reliable and capable of reducing the range of looking for substitute samples for formula personnel, greatly reducing the workload and enhancing the pertinence of tobacco formula work.

Description

technical field [0001] The invention belongs to a method for assisting cigarette formulation. Specifically, the near-infrared spectrum information of tobacco leaves is used as an object, and a SIMCA method is used to find a suitable substitute sample for a target tobacco leaf sample. Background technique [0002] Since practice and experience are the key to the entire formulation process, which runs through the entire process from the collection of single-material cigarettes to the final formulation of the formulation, domestic and foreign cigarette companies have always attached great importance to raw material databases and computer-aided cigarette formulation design. The raw material database generally contains conventional chemical components, trace aroma components, etc. The establishment of a raw material database is a long-term task. Every year, chemical analysis of the newly entered tobacco leaves is required, which will inevitably require a lot of manpower and invest...

Claims

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Application Information

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IPC IPC(8): G01N21/35G01N21/3563G01N21/359
Inventor 张峰陈小明陈群李斌蓝洪桥鹿洪亮伊勇涛操晓亮洪祖灿庄吴勇
Owner CHINA TOBACCO FUJIAN IND
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