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Method for measuring fish freshness index value K in online way based on multi-spectral imaging

A multi-spectral imaging and multi-spectral image technology, which is applied in the field of aquatic product quality and safety inspection, can solve the problems of inability to achieve non-destructive and rapid online detection, rapid online determination of K value, and high operational requirements, and achieve real-time online monitoring with small errors. , the effect of accurate measurement

Active Publication Date: 2015-05-27
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Obviously, in the actual detection process, this method has cumbersome steps, high operation requirements, time-consuming and laborious, and cannot achieve non-destructive rapid online detection.
After searching, there is currently no method for fast online determination of K value

Method used

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  • Method for measuring fish freshness index value K in online way based on multi-spectral imaging
  • Method for measuring fish freshness index value K in online way based on multi-spectral imaging

Examples

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Embodiment 1

[0032] like figure 1 Shown, the method for the online determination K value of grass carp meat freshness index based on multispectral imaging of the present embodiment comprises the following steps:

[0033] (1) Prepare grass carp meat samples and refrigerate to obtain fish meat samples with different storage days: kill 15 grass carp (mass about 2kg), remove scales, viscera, heads, tails and skins, and then divide them into 3cm× 160 pieces of fish pieces with a size of 3cm×1cm were rinsed with running water, and the residual water on the surface of the fish was blotted with absorbent paper, sealed in polyethylene fresh-keeping bags, and refrigerated at 4°C for 0, 2, 4, and 6 minutes respectively. day, divided into four groups, each group randomly selected 40 fish blocks as fish samples;

[0034] (2) Using high performance liquid chromatography to measure the concentration of ATP degradation products in fish samples during cold storage, and calculate the K value according to t...

Embodiment 2

[0047] A kind of method based on multispectral imaging of the present embodiment on-line determination silver carp fish meat freshness index K value comprises the following steps:

[0048] (1) Prepare and refrigerate silver carp fish meat samples to obtain fish meat samples of different storage days: kill 10 silver carp (mass about 2kg), remove scales, viscera, heads, tails and skins, and then divide them into sizes of 120 samples of fish pieces with a size of 3cm×3cm×1cm were rinsed with running water, and the residual water on the surface of the fish was blotted with absorbent paper, sealed in polyethylene fresh-keeping bags and refrigerated at 4°C for 0, 1, and 3 , 5 days, divided into four groups, each group randomly selected 30 fish pieces as fish samples;

[0049] (2) The concentration of ATP degradation products in fish samples during refrigeration was determined by high performance liquid chromatography, and the K value was calculated according to the formula, and the ...

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Abstract

The invention discloses a method for measuring the fish freshness index value K in an online way based on multi-spectral imaging. The method comprises the steps of firstly, measuring the freshness index values K of fish samples which are refrigerated for different days by the traditional high performance liquid chromatography, and then scanning the corresponding fish samples by using a visible near-infrared multi-spectral imaging system to obtain corresponding multi-spectral images; preprocessing the multi-spectral images, extracting average reflected spectrum value at the parts with the central wavelengths of 425nm, 560nm, 660nm, 795nm and 960nm, and establishing a prediction model by a least squares support vector machine based on the obtained values K and the average spectrum value; predicting a fish sample to be measured. According to the method, the fish freshness is evaluated by the multi-spectral imaging technology, so that the prediction accuracy is improved, the time needed by the traditional method is shortened, and the aim of rapid, nondestructive and non-contact online detection can be effectively realized.

Description

technical field [0001] The invention relates to the field of quality and safety detection of aquatic products, in particular to a method for online determination of the fish freshness index K value based on multi-spectral imaging. Background technique [0002] Fish is the most abundant aquatic resource in my country and an important source to promote the development of fishery in China. With the continuous innovation of breeding technology, the production of fish has also continued to increase. Because fish meat is delicious, rich in animal protein and special unsaturated fatty acids, it is favored by consumers. However, the subsequent fish meat quality and safety issues also continue to appear. With the continuous improvement of people's living standards, the requirements for fish safety are becoming more and more stringent. [0003] Freshness is an important measure of fish safety evaluation. There are many factors that affect the freshness of fish meat, mainly related ...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N21/31
Inventor 孙大文成军虎曾新安韩忠陈瑜楠
Owner SOUTH CHINA UNIV OF TECH
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