Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Discrimination method for caramel sweet taste characteristics of tobacco leaf based on flavor components

A technology of aroma components and discrimination method, which is applied in the field of discriminating the taste characteristics of burnt sweetness of tobacco leaves, can solve problems such as difficulty, and achieve the effect of improving scientificity and overcoming subjectivity and uncertainty.

Active Publication Date: 2013-01-30
ZHENGZHOU TOBACCO RES INST OF CNTC
View PDF0 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the methods for determining the charred-sweet taste characteristics of tobacco raw materials mainly rely on sensory evaluation experts to evaluate and smoke tobacco samples for manual judgment. This method relies on the subjective cognition of the evaluation personnel, and there is inevitably a certain degree of subjectivity and Uncertainty makes it difficult for cigarette companies to formulate differentiated processing plans based on the characteristics of tobacco leaf raw materials

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] One sample of C3F grade tobacco leaf was detected by GC-MS, and the contents of furfural, 5-methylfurfural, 2-acetylfuran and geranylacetone were 36.13μg / g, 5.06μg / g, 3.30μg / g, 30.65 μg / g, brought into the model, the score of its burnt-sweet taste characteristic is 59. After evaluation by experts, its actual burnt-sweet taste characteristic score was 52, with a relative error rate of 13.46%.

Embodiment 2

[0024] One sample of C3F grade tobacco leaf was detected by GC-MS, and the contents of furfural, 5-methylfurfural, 2-acetylfuran, and geranyl acetone were 61.55 μg / g, 3.05 μg / g, 5.76 μg / g, and 14.38 μg / g, respectively. μg / g, brought into the model, the score of its burnt-sweet taste characteristic is 76. After evaluation by experts, its actual burnt-sweet taste characteristic score was 70, with a relative error rate of 8.57%.

Embodiment 3

[0026] One sample of C3F grade tobacco leaf was detected by GC-MS, and the contents of furfural, 5-methylfurfural, 2-acetylfuran and geranyl acetone were 65.03 μg / g, 4.92 μg / g, 6.87 μg / g, 12.07 μg / g, respectively. μg / g, brought into the model, the score of its burnt-sweet taste characteristic is 79. After evaluation by experts, the actual scorched-sweet taste characteristics were highlighted with a score of 85, with a relative error rate of 7.06%.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a discrimination method for caramel sweet taste characteristics of a tobacco leaf based on flavor components. The discrimination method is characterized by comprising the following steps: (1) establishment of a sample database of tobacco leaves with caramel sweet taste characteristics; (2) artificial discrimination of the caramel sweet taste characteristics; (3) establishment of a flavor component database of the tobacco leaves with the caramel sweet taste characteristics; (4) screening of flavor component characterization indexes of the tobacco leaves with the caramel sweet taste characteristics; (5) establishment of a model for discrimination of the caramel sweet taste characteristics by using the flavor components of the tobacco leaves; (6) testing of the model; (7) determination of flavor components of an unknown sample; and (8) discrimination of caramel sweet taste characteristics of the unknown sample. The invention has the following advantages: the model for discrimination of caramel sweet taste characteristics based on flavor components is established, the problems of subjectivity and nondeterminacy of determination which is carried out mainly through subjective recognition of a smoke panel in the prior art are overcome, and scientificalness, objectivity and accuracy of determination of taste characteristics are improved.

Description

[0001] technical field [0002] The invention relates to the determination of aroma components in tobacco leaves, in particular to a method for discriminating the burnt-sweet mouthfeel characteristics of tobacco leaves based on the aroma components. [0003] Background technique [0004] The burnt-sweet taste characteristics of tobacco leaves play an important role in the style of Chinese cigarettes. At present, the methods for determining the charred-sweet taste characteristics of tobacco raw materials mainly rely on sensory evaluation experts to evaluate and smoke tobacco samples for manual judgment. This method relies on the subjective cognition of the evaluation personnel, and there is inevitably a certain degree of subjectivity and Uncertainty makes it difficult for cigarette companies to formulate differentiated processing plans based on the characteristics of tobacco leaf raw materials. [0005] Since the burnt-sweet mouthfeel characteristics of tobacco leaves are f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/02G01N30/08
Inventor 薛超群王建伟尹启生张艳玲奚家勤张仕祥王广山梁太波刘阳过伟民
Owner ZHENGZHOU TOBACCO RES INST OF CNTC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com