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Method for building model for DPLS-BS-UVE rapid honey identification

A technology of DPLS-BS-UVE and honey, which is applied in the field of food safety, can solve the problems of unreported identification, etc., and achieve the effect of simple pretreatment, precise classification and good accuracy

Inactive Publication Date: 2016-04-20
ANIMAL AND PLANT & FOOD DETECTION CENTER JIANGSU ENTRY EXIT INSPECTION AND QUARANTINE BUREAU +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the combination of bootstrap method and non-informative variable elimination method for the identification of adulterated honey has not been reported

Method used

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  • Method for building model for DPLS-BS-UVE rapid honey identification
  • Method for building model for DPLS-BS-UVE rapid honey identification
  • Method for building model for DPLS-BS-UVE rapid honey identification

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Embodiment

[0046] Instruments, equipment and reagents used in this embodiment are as follows:

[0047] Experimental equipment includes: Advance400 nuclear magnetic resonance instrument (Bruker, Switzerland), 14.1T superconducting magnet, 5mm dual-core z-gradient probe and Topspin2.3 test control and data processing software; 5mm nuclear magnetic resonance sample tube; high-speed centrifuge (Sigma, German company); Vortex mixer (XW-80A, Shanghai Medical University Instrument Factory); LP403 analytical balance (Sartorius, German company);

[0048] Experimental solvents include: deuterated water (with a deuterium band of 99.8%) was purchased from Cambridge Isotope Laboratories; 3-trimethylsilyl-1-propylsulfonate sodium (TSPSA) was purchased from Aldich-Sigma; dipotassium hydrogen phosphate and Sodium dihydrogen phosphate (excellent grade) was purchased from Aldich-Sigma.

[0049] Data processing software includes: SIMCA-P12.0 software (Sweden, UmetricsAB, Ume?), MestReNova5.3.1 software (S...

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Abstract

The invention relates to a method for building a model for DPLS-BS-UVE rapid honey identification, and belongs to the field of food safety. The method comprises the steps that a series of honey, syrup and adulterated honey samples are collected at first for nuclear magnetic resonance spectrum analysis, DPLS-BS-UVE analysis is adopted after data extraction and pretreatment, honey adulterated markets are screened, a multiple linear regression equation is built by using the area of the spectral peak corresponding to the markets as an X variable and using the sample type as a Y variable, and the method is used for rapid honey adulteration identification. The inherent thinking in the prior art that only one kind or category of matter is used as the identification market is broken through, and the identification method having the advantages of being short in analysis time, strong in integrity, good in specificity, high in controllability, high in accuracy and the like is obtained.

Description

technical field [0001] The invention relates to a model method for establishing a DPLS-BS-UVE to quickly identify the true and false honey, and belongs to the field of food safety. Background technique [0002] Honey is a natural sweet substance that is fully brewed from the nectar, secretion or honeydew collected by bees from plants, combined with their own secretions, and is a nutritious and natural nourishing food. Its main components are sugars, of which 60%-80% are glucose and fructose that are easily absorbed by the human body. In addition, it contains a variety of inorganic salts and vitamins, a variety of organic acids, trace elements and amino acids that are beneficial to human health, as well as sucrose invertase and amylase with strong biological activity. Its health care function and nutritional value are deeply loved by consumers. my country's national standard for honey stipulates that no starch, sugar or sugar substitutes may be added or mixed into honey. ...

Claims

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Application Information

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IPC IPC(8): G01N24/08
CPCG01N24/08
Inventor 刘芸陆慧媛柳菡刘艳沈伟健费晓庆沈崇钰吴斌张睿张阔海刘建红
Owner ANIMAL AND PLANT & FOOD DETECTION CENTER JIANGSU ENTRY EXIT INSPECTION AND QUARANTINE BUREAU
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