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

A method for distinguishing the aroma level of pekoe silver needles based on electronic nose detection information

A technology for detecting information and pekoe silver needles, which is applied in the field of grade discrimination, can solve the problems of long review period and insufficient quantification of data consistency, and achieve good practical value, short time consumption, and improved stability and consistency.

Active Publication Date: 2018-07-27
FUJIAN AGRI & FORESTRY UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The aroma of Baihao Silver Needle is based on the strong, fresh and pure aroma. Traditionally, the evaluation of aroma grades needs to be completed by the "sense" of the reviewers. Not only does the review period take a long time, but it is also susceptible to interference from various subjective and external factors. The "consistency" and "quantification" of the data are insufficient, and it is difficult to objectively and stably characterize its actual quality. Therefore, it is necessary to find a standardized and easy-to-operate method to realize the stable discrimination of the grade of Baihaoyinzhen.

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

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A method for distinguishing the aroma level of pekoe silver needles based on electronic nose detection information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Embodiment 1, a method for discriminating the grade of Baihaoyinzhen millixiang based on electronic nose detection information, comprising the following steps:

[0028] (1) Sample preparation: Weigh 5.0g of the tea sample to be tested in a testing bottle, place it in an oven at 45°C for 15 minutes, and use Smartnose metal oxide electronic nose for detection.

[0029] (2) Collect detection information: start the electronic nose to obtain the detection information of the aroma of pekoe silver needles, and after exporting the detection information, the "S1" sensor response value variable X 1 =3.44, "S5" sensor response value variable X 2 =2.32, "S6" sensor response value variable X 3 =2.01, "S7" sensor response value variable X 4 =2.26.

[0030] (3) Construct the Logistic regression discriminant connection function, the expressions are:

[0031] Link1 level = 0.157+(-0.042X 1 +0.517X 2 -0.185X 3 -0.174X 4 );

[0032] Link2 level = 0.318+(-0.042X 1 +0.517X 2 -0...

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 relates to a pekoe aroma grade discrimination method based on metal oxide type electronic nose detection information. The method comprises the steps of sample preparation, detection information collection and construction of Logistic regression discrimination connection functions and discrimination result probability formulas of various grades of samples. According to the method, the problem that in the manual assessment process, assessment cannot be conducted for a long time due to sensory fatigue is effectively solved; discrimination result errors among different assessment personnel are well eliminated, and the stability and consistency of pekoe aroma grade discrimination results are improved; the whole assessment process is convenient and rapid, the consumed time is short, and the discrimination time that each sample consumes after sample preparation is completed is shorter than 5 min; a model analysis result shows that the method has the good stability, and the consistency with manual assessment results is higher than 90%; the very good practical value is achieved, and the significance on application of the automated control means in the pekoe production process, evaluation expression of the final tea product quality and marketing and circulation is achieved.

Description

technical field [0001] The invention relates to a method for discriminating tea grades, in particular to a method for discriminating the fragrance grades of pekoe silver needles based on electronic nose detection information, and belongs to the technical field of food. Background technique [0002] Baihao Yinzhen belongs to the category of white tea, one of the top ten famous teas in China, and its origin is Fuding City and Zhenghe County, Fujian Province. The raw materials of Baihao Yinzhen are collected from specific tea tree varieties, and the unique processing technology is used to form the unique quality characteristics of Baihao Yinzhen, which is covered with pekoe on the outside, light yellow and bright in color, fresh and mellow, sweet and fragrant. [0003] The fragrance of Baihao Silver Needle is based on the strong fragrance, freshness and purity. Traditionally, the evaluation of aroma grades needs to be completed by the "sensory" of the reviewers. Not only the re...

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 Patents(China)
IPC IPC(8): G01N27/00
CPCG01N27/00
Inventor 叶乃兴赵峰张丹丹叶小辉郑德勇何丽梅杨江帆
Owner FUJIAN AGRI & FORESTRY UNIV
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