Shrimp meat freshness detection method based on spatial migration Raman spectrum

Abstract

The invention provides a shrimp meat freshness detection method based on a spatial migration Raman spectrum, and belongs to the technical field of food nondestructive testing. The method, based on a Raman scattering point light source image detection system, comprises the steps: collecting and obtaining Raman images of unhousinged shrimp samples at different positions and under 1024 wave bands; converting the Raman image intensity wavelength domain into an intensity space domain, and extracting an interested region and waveband as sub-images of the corresponding Raman image; selecting the optimal spatial offset distance to make the internal signal relatively strongest and the signal-to-noise ratio highest; removing abnormal point spectral data, and inputting the abnormal point spectral data into random forest features for feature band selection; and inputting the spectral data of the selected characteristic wave band into a support vector regression model for prediction. The method ishigh in prediction precision and high in speed for the freshness of the unhousinged shrimps, and field detection can be achieved; and meanwhile, a deep detection method is provided, and the method isexpected to be applied to deep detection of unhousinged or packaged or multi-layer samples.

Description

technical field [0001] The invention belongs to the technical field of non-destructive detection of food, and in particular relates to a method for non-destructive detection of the freshness of shrimp meat using spatial offset Raman scattering images. Background technique [0002] With the rapid development of the economy and the improvement of people's living standards, the requirements for food safety and quality are gradually increasing. Aquatic products have become one of the most popular foods due to their rich high-quality protein, low fat content, delicious taste and various eating methods. The quality of aquatic products is also more and more concerned by countries all over the world. Prawns are widely accepted as a high-quality white meat because they are rich in high-quality protein and low in cholesterol and fat. However, prawns contain high levels of unsaturated fatty acids, which can be degraded into aldehydes and ketones, resulting in nutritional loss and qua...

AI Technical Summary

Problems solved by technology

In existing studies, hyperspectral can effectively evaluate the species, moisture, mechanical properties, adulteration, etc. of shrimp, but hyperspectral analysis technology cannot explain the material composition and change information. At the same time, hyperspectral is mostly based on shelled shrimp meat. The penetration ability is weak, and it is difficult to realize the quality inspection of shelled shrimp meat

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