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Intermediate infrared rapid batch detection method for content of free isoleucine in milk

A technology for isoleucine and batch detection, which is used in measurement devices, material analysis by optical means, instruments, etc., to achieve the effects of improving detection efficiency, strong practicability, and improving accuracy

Pending Publication Date: 2022-03-11
HUAZHONG AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no model for predicting the content of free isoleucine in milk based on mid-infrared spectroscopy. Therefore, it is necessary to establish a rapid detection method for the content of free isoleucine in milk to provide another way for the detection of milk quality and cow health. , to promote the normal flow of dairy products that meet national standards and food safety requirements into the market

Method used

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  • Intermediate infrared rapid batch detection method for content of free isoleucine in milk
  • Intermediate infrared rapid batch detection method for content of free isoleucine in milk
  • Intermediate infrared rapid batch detection method for content of free isoleucine in milk

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Experimental program
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Effect test

Embodiment 1

[0065] Choice of isoleucine prediction model algorithm:

[0066] The purpose of this application is to establish a quantitative determination model of isoleucine, so the modeling algorithm used is a regression algorithm. There are many kinds of regression algorithms. In this embodiment, Ridge regression (Ridge) and partial least squares regression (PLSR) algorithms are mainly used for model establishment and comparison. The reasons are as follows:

[0067] Ridge regression is a type of linear regression. Only when the algorithm establishes the regression equation, the ridge regression adds regularization restrictions, so as to achieve the effect of solving over-fitting. There are two types of regularization, namely l1 regularization and l2 regularization. Compared with l1 regularization, the advantages of l2 regularization are: (1) cross-validation can be performed (2) stochastic gradient descent is realized. Ridge regression is a linear regression model after adding l2 regu...

Embodiment 2

[0070] Screening of the number of mid-infrared spectroscopy measurements and how they are used:

[0071] All the samples used in this application have been collected twice in a row. The purpose is to compare the different measurement times of the same sample and the obtained three kinds of MIR data (the first time, the second time, and the second average) to the modeling accuracy. The influence of , and screen out the most effective MIR data for modeling. Because some researchers believe that the average spectral MIR measured twice may improve the modeling accuracy, so in this embodiment, the first, second, and second average spectral MIR are removed from the water band and the area greater than 4000cm -1 Partially modeled and compared the accuracy of the analysis model, the results are shown in the following table:

[0072] Ridge algorithm comparison results:

[0073]

[0074]

[0075] PLSR algorithm comparison results:

[0076]

[0077] After comprehensive consid...

Embodiment 3

[0079] Establishment of a method for detecting the content of isoleucine in milk by mid-infrared spectroscopy:

[0080] 1. Division of modeling data sets

[0081]

[0082] In the division of the modeling data set in this embodiment, 75% is a training set and 25% is a test set. The ratio of the training set to the test set is 3:1. At the same time, the training set is also called the cross-validation set. In the process of training the model, 10-fold cross-validation is performed.

[0083] 2. Screening of modeling MIR data preprocessing methods

[0084] Effective feature screening is the basic operation of spectral data processing, the purpose is to eliminate noise and lay a good foundation for feature extraction. Effective feature screening mainly includes feature extraction, feature preprocessing, and feature dimensionality reduction. This embodiment mainly performs feature preprocessing on the spectral data. First, SG (convolution smoothing), MSC (multiple scattering c...

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Abstract

The invention belongs to the field of dairy cow performance determination and milk quality detection, and particularly relates to an intermediate infrared rapid batch detection method for the content of free isoleucine in milk. In the aspect of selection of characteristic wave bands, the applicant breaks through a common method for screening characteristics by using an algorithm, and a manual selection and multiple traversal method is used. And finally, selecting a characteristic wave band for modeling, particularly screening out an absorption area containing part of water, and proving that the accuracy of the model can be improved by increasing part of the water absorption wave band. And the same milk sample is selected to measure the first spectrum MIR for modeling, so that the model accuracy of single spectrum measurement data modeling is improved. The optimal preprocessing and algorithm combination established by the isoleucine model is selected, the optimal parameters are determined, and the accuracy of the model is improved. And rapid, accurate and low-cost detection of the content of isoleucine in the raw milk is realized.

Description

technical field [0001] The invention belongs to the field of dairy cow performance measurement and milk quality detection, and in particular relates to a mid-infrared rapid batch detection method for free isoleucine content in milk. Background technique [0002] Milk contains more than 20 kinds of nutrients such as protein, fat, minerals, and vitamins, almost all the nutrients needed by the human body. It can not only meet the basic needs of infant growth and development, but also is an ideal food for people of all ages. Amino acid is a component of protein and an important functional component in milk, which plays an important role in human growth and development. [0003] The chemical formula of isoleucine (Ile) is CH 3 CH 2 CH(CH 3 )CH(NH 2 )COOH is an essential amino acid rich in milk and one of the important branched-chain amino acids, which have an important impact on energy balance and lipid metabolism in the body [1] . Many data prove that isoleucine is an indi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3577
CPCG01N21/3577
Inventor 张淑君樊懿楷褚楚苏俊东张静静彭松悦郝磊晓孙玉梅
Owner HUAZHONG AGRI UNIV
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