Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for distinguishing between pure and syrup-adulterated honey based on combination of hydrogen nuclear magnetic resonance and partial least square method

A technology of partial least squares and nuclear magnetic resonance, which is applied to the analysis of nuclear magnetic resonance, can solve problems such as complex maps, achieve the effects of mature and reliable technology, expand the scope of use, and improve the technical system

Active Publication Date: 2015-06-17
WUHAN INST OF PHYSICS & MATHEMATICS CHINESE ACADEMY OF SCI
View PDF6 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Using hydrogen nuclear magnetic resonance ( 1 H NMR) technology to test complex mixed systems such as food can obtain information on many chemical components in the system, but the overlapping of signals of various components also makes the spectrum very complicated
Often, only limited information can be obtained from NMR spectra by visual observation alone

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for distinguishing between pure and syrup-adulterated honey based on combination of hydrogen nuclear magnetic resonance and partial least square method
  • Method for distinguishing between pure and syrup-adulterated honey based on combination of hydrogen nuclear magnetic resonance and partial least square method
  • Method for distinguishing between pure and syrup-adulterated honey based on combination of hydrogen nuclear magnetic resonance and partial least square method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] 1. Instruments, reagents and samples

[0041] 1.1 Instruments:

[0042] 500MHz liquid nuclear magnetic resonance spectrometer (BrukerAVANCE), Switzerland Bruker Biospin Company; micro benchtop centrifuge (Sorvall Legend Micro 17R), American Thermo Scientific Company; electronic balance (AL104), Mettler-Toledo Instruments (Shanghai) Co., Ltd.; 5mm NMR tube (ST500-7), Norell, USA

[0043] 1.2 Reagents:

[0044] K 2 HPO 4 ·3H 2 O and NaH 2 PO 4 2H 2 O (analytical grade) was purchased from Shanghai Sinopharm Group Reagent Co., Ltd. NaN 3 (analytical pure) was purchased from Tianjin Fuchen Chemical Reagent Factory. Heavy water (D 2 O, 99.9% deuterated, containing sodium 2,2,3,3-deuterated trimethylsilyl propionate (TSP), 0.05 wt%) was purchased from Cambridge Isotope Laboratories. Phosphate buffered saline (K 2 HPO 4 :NaH 2 PO 4 =4:1, 0.15mol / L, pH 7.40) use 10% D 2 O's double distilled water preparation. Wherein the buffer solution contains TSP and NaN 3 ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for distinguishing between pure and adulterated honey based on combination of hydrogen nuclear magnetic resonance and a partial least square method. The method relates to food detection, and application of a hydrogen nuclear magnetic resonance fingerprint to food detection. The method comprises the following steps: firstly, building a pure honey database and a syrup-doped honey database respectively; secondly, building a distinguishing model, and carrying out a reliability test on the identification model; finally, distinguishing honey samples to be detected, and expanding the databases with the distinguishing results to improve the representativeness of the samples and the distinguishing capability. The method has the advantages that the technique is reliable, the operation is simple, a large quantity of samples can be treated in a short time, the dubious honey samples can be quickly screened out, the subjective factors and the personal errors can be avoided, and the conclusion can be scientific and reliable.

Description

technical field [0001] The invention relates to food detection, and more specifically relates to a method for identifying syrup mixed in honey by using a hydrogen nuclear magnetic resonance fingerprint spectrum combined with a partial least square method. Background technique [0002] Honey is a natural sweet substance that is fully brewed after bees collect nectar, secretions or honeydew from plants, mix with their own secretions (national standard for honey GB14963-2011GB). As a natural health care product and nutritional product, it is favored by consumers. Although the standard clearly stipulates that honey is a natural substance and no artificial addition or removal of any substance is allowed, adulterated honey is rampant in the domestic market, seriously damaging the interests of consumers and affecting the healthy development of the honey industry. [0003] There are four main reasons for serious adulteration in the honey market: (1) The main sugars in honey are glu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N24/08
Inventor 陈雷刘红兵罗立廷
Owner WUHAN INST OF PHYSICS & MATHEMATICS CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products