Method of classification and identification of fish sauce

An analysis method, fish sauce technology, applied in the analysis of materials, material analysis by electromagnetic means, measuring devices, etc., can solve the problems of complex smell of fish sauce, difficulty in sensory identification of fish sauce, and reflect the quality of fish sauce, so as to improve the quality of products Quality and market competitiveness, imprecise and standardized filling, clear and intuitive experimental results

Active Publication Date: 2016-06-08
GUANGZHOU CITY POLYTECHNIC
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the evaluation system of these physical and chemical indicators is too simple to obtain complete information and reflect the quality of fish sauce
In the quality identification of fish sauce, the smell plays a decisive role in the quality of fish sauce, and the disadvantages of the method of only relying on nitrogen determination to detect the protein content of samples have already appeared in various food testing
[0006] For the detection of volatile components in fish sauce, currently, it is common to use gas chromatography-mass spectrometry (GC-MS) to determine the types and contents of volatile compounds in the headspace of the sample, but due to the There are about 5,000 kinds of volatile compounds in fish sauce alone, so it is impossible to completely quantify the volatile compounds in fish sauce, and it will take a lot of manpower and material resources
[0007] Therefore, the flavor quality of fish sauce has always relied on the sensory evaluation of experts, but sensory evaluation has the disadvantages of strong subjectivity, high time and cost consumption, variable appraisal results, and not being objective and accurate enough.
In addition, the smell of fish sauce is complex, which brings certain difficulties to sensory evaluation and grading identification
However, it is not uncommon to see fish sauce processed by blending and blending techniques on the market, and it is more difficult to judge these fish sauces sensory

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
  • Method of classification and identification of fish sauce
  • Method of classification and identification of fish sauce
  • Method of classification and identification of fish sauce

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] A method for classifying and identifying fish sauce, used for assessing fish sauce samples of different grades, comprising the following steps:

[0042] 1) The volatile organic compounds in different grades of fish sauce standard samples were measured by electronic nose analysis method, and the response intensity data of different grades of fish sauce standard samples in the electronic nose sensor matrix were obtained.

[0043] The fish sauce standard samples of different grades are predetermined standard samples divided into six grades, namely: special grade, first grade, second grade, third grade, fourth grade and defective fish sauce standard samples.

[0044] The electronic nose adopts the FOX4000 system of French AlphaM.O.S company, and the selected electronic nose sensor matrix is ​​LY2 / LG, LY2 / G, LY2 / AA, LY2 / GH, LY2 / gCTL, LY2 / gCT, T30 / 1, P10 / 1 , P10 / 2, P40 / 1, T70 / 2, PA2, P30 / 1, P40 / 2, P30 / 2, T40 / 2, T40 / 1, TA2 sensors. The determination of volatile organic compou...

Embodiment 2

[0065] The method for the classification and identification of fish sauce of the present embodiment is basically the same as the method of embodiment 1, the difference is:

[0066] Electronic nose sensor matrix consists of LY2 / LG, LY2 / G, LY2 / AA, LY2 / GH, LY2 / gCTL, LY2 / gCT, T30 / 1, P10 / 1, P10 / 2, P40 / 1, T70 / 2, PA2 , P30 / 1, P40 / 2, P30 / 2 sensors.

[0067] The response intensity data of the fish sauce standard sample obtained by the above-mentioned electronic nose sensor matrix is ​​subjected to principal component analysis, and a fish sauce classification and identification model is established. The obtained principal component analysis diagram is as follows: Figure 10 As shown in the figure, it can be seen from the figure that label 1 is super-grade fish sauce, and the abscissa distances between the standard fish sauce samples with labels 2, 3, 4, 5, and 6 and the super-grade fish sauce with label 1 increase in turn, that is, according to The abscissa increases in order of super-...

Embodiment 3

[0070] A method for classifying and identifying fish sauce, used to identify whether fish sauce samples are qualified, comprising the following steps:

[0071] 1) Using the electronic nose analysis method in Example 2, measure the volatile organic compounds in the qualified fish sauce standard sample, and obtain the response intensity data of the qualified fish sauce standard sample in the electronic nose sensor matrix.

[0072] 2) Statistical analysis method was used to conduct partial least squares analysis on the response intensity data of the above fish sauce standard samples, and a fish sauce classification and identification model was established by the nonlinear regression method of principal component analysis.

[0073] 3) Determine the volatile organic compounds in the fish sauce sample by the electronic nose analysis method in step 1), and obtain the response intensity data of the fish sauce sample in the electronic nose sensor matrix.

[0074] 4) Substituting the ab...

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 discloses a classified identification method for fish sauce, belonging to the technical field of condiments analysis and identification methods. The method comprises the following steps: respectively determining volatile organic compounds in different types of fish sauce samples by an electronic nose analysis method to obtain the response intensity data of the different types of the fish sauce samples in an electronic nose sensor matrix; performing statistic classification on the response intensity data of the fish sauce samples, and establishing a fish sauce classified identification model; obtaining the response intensity data of a fish sauce sample in the electronic nose sensor matrix, substituting the response intensity data into the fish sauce classified identification model for analysis, and judging to obtain the classification of the fish sauce sample. By the adoption of the method, the quality of odor can be quantized and standardized, and the fish sauce classified identification model is established, so that the fish sauce can be evaluated objectively, quickly and accurately; the standardization of the quality of the fish sauce can be effectively guaranteed; the quality and the market competitiveness of the product are improved; the blank that the precision and the standardization cannot be realized by conventional sensory analysis is filled.

Description

technical field [0001] The invention relates to a method for analyzing and identifying condiments, in particular to a method for classifying and identifying fish sauce. Background technique [0002] Fish sauce is a traditional aquatic condiment with a long history. It is also called "fish soy sauce and shrimp oil" in my country. It is made of low-value seafood and mixed with sea salt. The resulting aromatic liquid condiment. [0003] The production of fish sauce in my country is mainly concentrated in Guangdong Province. The annual output of fish sauce in Guangdong Province is about 20,000 tons, accounting for more than 60% of the national output. The traditional process of fish sauce production includes pickling, stirring, drying, post-ripening, filtering, blending and other processes. Fermentation and maturation proceed naturally. Due to the long fermentation cycle and fuzzy process parameters, it is difficult to accurately control the production process and conditions, 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
Inventor 江津津
Owner GUANGZHOU CITY POLYTECHNIC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products