Electric-nose-analysis-based determination method of tuna oil corruption degree in storage process

A technology of tuna oil and determination method, which is applied in the direction of testing food, material inspection products, etc., can solve the problems of long analysis time, poor sensory evaluation accuracy, no reports, etc., and achieve high detection efficiency, short detection time and simple operation Effect

Inactive Publication Date: 2016-04-27
ZHEJIANG OCEAN UNIV
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The accuracy of sensory evaluation is poor, and the evaluation results vary from person to person, while gas spectrometry-mass spectrometry technology has high costs and long analysis time, and the test results are basically the results of separated samples, which is difficult to represent the integrity of the samples
[0

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
  • Electric-nose-analysis-based determination method of tuna oil corruption degree in storage process
  • Electric-nose-analysis-based determination method of tuna oil corruption degree in storage process
  • Electric-nose-analysis-based determination method of tuna oil corruption degree in storage process

Examples

Experimental program
Comparison scheme
Effect test
No Example Login to view more

PUM

No PUM Login to view more

Abstract

The present invention relates to an electric-nose-analysis-based determination method of tuna oil corruption degree in a storage process, according to the determination method, an electric-nose technology is used for research on volatile odor of tuna oil in the storage process, by principal component analysis (PCA) and linear discriminant analysis (LDA), fish oil samples of different storage time can be distinguished, and acid value and peroxide value forecast models can be established by partial least squares (PLS), so that the tuna oil corruption degree in the storage process can be effectively determined. Compared with the prior art, the determination method is simple in operation, short in detection time and high in detection efficiency, is a fast, effective and comprehensive determination of tuna oil quality, can be widely popularized in fish oil quality measurement.

Description

technical field [0001] The invention relates to the field of fish oil quality measurement, in particular to a method for measuring the corruption degree of tuna oil during storage based on electronic nose analysis. Background technique [0002] The electronic nose is composed of multiple chemical sensors with overlapping performance and appropriate pattern recognition methods, and can recognize simple and complex bionic instruments for odors. Similar to the noses of humans and animals, what the electronic nose "smells" is the overall information of the volatile components in the tested sample. When working, the gas sensor array adsorbs, desorbs or reacts to the gas, and generates an electrical signal, and then transfers the circuit and data acquisition system to amplify, A / D convert, collect and transmit the signal generated by the sensor, and finally sends it to To the computer and the pattern recognition system, carry out pattern recognition on the signal, make a judgment...

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
IPC IPC(8): G01N33/03
CPCG01N33/03
Inventor 陈小娥方旭波陈娜赵小惠
Owner ZHEJIANG OCEAN UNIV
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