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Method for identifying Manuka honey based on SIMCA model

A technique of manuka honey, model

Inactive Publication Date: 2018-10-02
南京海关动植物与食品检测中心
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the current domestic research on manuka honey is basically blank, which will have a great impact on the supervision and supervision of imported manuka honey and the protection of the legitimate rights and interests of Chinese consumers

Method used

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  • Method for identifying Manuka honey based on SIMCA model
  • Method for identifying Manuka honey based on SIMCA model
  • Method for identifying Manuka honey based on SIMCA model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Embodiment 1 Model establishment

[0040] 1. Instruments and equipment

[0041] Experimental equipment includes: Advance 400 nuclear magnetic resonance instrument (Bruker, Switzerland), 14.1 T superconducting magnet, 5 mm dual-core z-gradient probe and Topspin 2.3 test control and data processing software; 5 mm 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);

[0042] Experimental solvents include: deuterated water (99.8% deuterium band) purchased from Cambridge Isotope Laboratories; 3-trimethylsilyl-1-propyl sodium sulfonate (TSPSA) purchased from Aldich-Sigma; dihydrogen phosphate Potassium and sodium dihydrogen phosphate (excellent grade) were purchased from Aldich-Sigma.

[0043] 2. Honey Sample Collection

[0044] A total of 7 varieties of Manuka honey, Kanuka honey, Rewariwa honey, Kamasi honey, Chri...

Embodiment 2

[0054] Example 2 Model Validity Verification

[0055] The validity of the model is verified by random permutation test. The parameters for evaluating the quality of the model are R2 and Q2, where R2 represents the model’s ability to explain the X and Y matrices, and Q2 represents the model’s predictive ability. The closer R2 and Q2 are to A value of 1 indicates that the model is more stable and reliable, and generally a value higher than 0.5 indicates a better model.

[0056] Such as figure 2 The R2 and Q2 of the model established in Example 1 shown are 0.99 and 0.95, respectively. It shows that the identification model established by the present invention is stable and reliable.

Embodiment 3

[0057] Example 3 Identification of Unknown Samples

[0058] Three unknown samples were processed according to the sample preparation method in Example 1, and were processed according to the NMR spectrum analysis conditions in Example 1. 1 For the HNMR test, the hydrogen nuclear magnetic resonance spectrum data of 3 unknown samples were collected respectively. Use the established SMICA model to predict, and the SIMCA distribution diagrams are as follows: Figure 3-Figure 5 shown. According to the comprehensive evaluation of the position of the unknown sample from the model and the distance from the center of the model, the results are shown in Table 1.

[0059] Table 1:

[0060] Sample serial number

Model results

relative distance to model center

relative distance to model

1

outside the model

3.114

2.312

2

suspicious

0.375

1.014

3

in the model

0.278

0.769

[0061] According to the position of the samp...

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Abstract

The invention belongs to the field of food safety, especially, relates to the field of Manuka honey identification, and more specifically, relates to a method for identifying Manuka honey based on anSIMCA model. The SIMCA model is established by nuclear magnetic resonance spectral data, and the model is stable and reliable. Compared with other methods for identifying Manuka honey, the method candistinguish unknown samples by the model method, avoids subjective factors and human interference, and improves the accuracy of the detection significantly; the honey samples are detected by H-NMR, nocomplex sample pretreatment exists, the operation is relatively simple, and high-flux treatment of the samples can be achieved; the database capacity is expanded, and the accuracy rate can be increased.

Description

technical field [0001] The invention belongs to the field of food safety, in particular to the field of Manuka honey identification, and more specifically relates to a method for identifying Manuka honey based on a SIMCA model. Background technique [0002] Manuka (Manuka) honey is a precious honey species unique to New Zealand. It is a shrub plant unique to New Zealand - Manuka ( Leptospermum scoparium ) brewed from nectar. Because Manuka honey has unique antibacterial activity, it can be used to prevent wound infection, help wound healing, and has high medicinal value, so it is more and more favored by Chinese consumers. [0003] At present, New Zealand's manuka honey exports have increased by about 10% every year for the past 10 years. In 2013, the value of honey exported from New Zealand was 128 million New Zealand dollars. According to statistics from a New Zealand beekeeper association, New Zealand only produces about 1,700-2,000 tons of Manuka honey each year, while...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N24/08
CPCG01N24/08
Inventor 刘芸吴斌赖国银丁涛高玲王雪婷沈伟健张晓燕张峰冯峰
Owner 南京海关动植物与食品检测中心
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