Online rapid chicken ash content detection method

Abstract

The invention discloses an online rapid chicken ash content detection method. Hyper-spectral images of a chicken sample are collected and corrected, the obtained spectral images are preprocessed, thetarget regions are identified, the average spectral data of spectral images is extracted, and the extracted spectral data is substituted into a formula. 13 optimal wavelengths are extracted from 486 full wave bands; a large amount of redundant information is eliminated, useful information is extracted, the calculated amount of data analysis is reduced, thus the precision of a partial least squaresmodel is improved, and the requirements of large scale online meat production can be satisfied. Compared with the prior art, the method has the advantages that a tested sample does not need to be preprocessed, the sample is not contacted, is only spectrally scanned, and is not destroyed; no chemical reagent is used, the method is green, cost is saved, the operation is easy, time is saved, and large scale online detection of chicken ash content is realized.

Description

technical field [0001] The invention relates to the field of food quality and safety detection, in particular to a method for quickly detecting chicken ash on-line. Background technique [0002] Chicken, as the main poultry product, is rich in protein, amino acids, fatty acids, vitamins, minerals, and rich in nutrients and balanced in proportion. Its consumption is increasing year by year. At the same time, the food safety of chicken is getting more and more attention from consumers. , which is an important component of chicken ash, which can not only reflect the nutritional value of chicken, but also determine the degree of contamination of chicken during slaughter. The residue after the chicken is burned at high temperature is called the total ash, which contains 11 kinds of macroelements with a content greater than 0.01%, and also contains trace elements with a content less than 0.01%. Normal meat has an ash content below 2%. When the ash content exceeds 2%, the meat has...

AI Technical Summary

Problems solved by technology

Generally, the detection of ash content in chicken meat is often carried out using the method of GB 5009.4-2016 "Determination of Ash Content in Food Safety National Standard Food", but this method needs to use chemical reagents to pretreat the sample and the steps are cumbersome, the detection time is long, and the cost is high. It cannot meet the large-scale online detection requirements of today's meat industry

[0003] In recent years, the hyperspectral imaging system can detect the internal quality and external quality of the tested sample at the same time, and also has the advantages of high resolution, fast, non-destructive, and no need for pretreatment of the sample. This technology has become a non-destructive testing technology for agricultural and livestock products However, there are few reports on the detection of chicken ash

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