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Cigarette formula quality trend analysis method based on volatile characteristic components in cut tobacco

A trend analysis and volatile technology, applied in the direction of tobacco, tobacco processing, application, etc., to reduce the cost of detection, avoid subjectivity, and ensure the accuracy and sensitivity of detection

Active Publication Date: 2017-05-24
CHINA TOBACCO YUNNAN IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the use of HS-GC / MS technology to qualitatively and quantitatively analyze a large number of volatile components in cigarette shreds, combined with chemometrics to analyze the trend of formula quality has rarely been reported

Method used

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  • Cigarette formula quality trend analysis method based on volatile characteristic components in cut tobacco
  • Cigarette formula quality trend analysis method based on volatile characteristic components in cut tobacco
  • Cigarette formula quality trend analysis method based on volatile characteristic components in cut tobacco

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Effect test

Embodiment 1

[0036] Trend analysis of formula quality for Yunyan (impression) brand

[0037] 1. Instruments, reagents and instrument working conditions

[0038]1) Instruments: Headspace Gas Chromatography Mass Spectrometer (G1888+7890A+5975C, Agilent Company, USA); DB-WAX Chromatographic Column (30m×0.25mm id×0.25μm df, Agilent Company, USA); Analytical Balance (Sensitive 0.1mg, Swiss MettlerToledo company); vibrating shaker (3017 German GFL company); 0.45μm organic phase filter membrane; 5mL pipette gun; other commonly used equipment in the laboratory.

[0039] 2) Reagents: Unless otherwise specified, use reagents of analytical grade or above. Water should meet the requirements of the first-class water in GB / T6682. 20 standard samples of volatile organic compounds, including 2-pentan-one, 6-methyl-3,5-heptadien-2-one, 3-methyl-3-buten-2-one, 2-pentan Alkenal, γ-nonanolide, bread ketone, 3-hydroxy-2-butanone, 2-ethyl-1-hexanol, 2-acetylfuran, benzaldehyde, 2-heptanol, 5-methylfurfural ...

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Abstract

The invention relates to a cigarette formula quality trend analysis method based on volatile characteristic components in cut tobacco. The method includes the following steps that 1, samples are prepared; 2, the samples are pretreated; 3, the samples are treated and detected, wherein HS-GC / MS is adopted for analysis; 4, according to the contents of non-volatile characteristic components in different batches, the principal component analysis-Mahalanobis distance is adopted to study the quality trend change of the samples, and similarity analysis of the different samples is conducted. By means of the method, the contents of the volatile characteristic components in the cigarette cut tobacco can be directly acquired, principal components in the components are obtained, score vectors of the principal components are used for two-dimensional or three-dimensional spectrum recognition, the spectrum is displayed through a computer and chemometrics method, and classification of the different samples is achieved. The cigarette product formula quality monitoring method is stable and objective; no contamination is generated; on the premise of guaranteeing detection accuracy and sensitivity, detection cost is lowered, and detection time is shortened.

Description

technical field [0001] The invention relates to a cigarette formula quality trend analysis method, in particular to a cigarette formula quality trend analysis method based on volatile characteristic components in shredded tobacco, and belongs to the technical field of cigarette formula quality control. Background technique [0002] Cigarettes are an extremely complex chemical multi-component system. The quality of smoking and the formation of style characteristics are the result of the synergy between the internal chemical components of cigarettes (including added flavors and fragrances). To judge the changes in the quality of cigarette product formulations, the existing conventional chemical indicators and data processing methods are often difficult to achieve a comprehensive system analysis and obtain satisfactory results due to the single indicators and insufficient information. At present, cigarette quality evaluation mainly uses near-infrared spectroscopy combined with ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A24B15/18
CPCA24B15/18
Inventor 蒋次清李超吴亿勤秦云华张承明许永刘秀明王家俊李娥贤邹楠张静段海波胡燕
Owner CHINA TOBACCO YUNNAN IND
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