A method for identifying the quality of edible oil by combining nuclear magnetic resonance with pattern recognition

A technology of nuclear magnetic resonance and pattern recognition, applied in the direction of using nuclear magnetic resonance for analysis, etc., can solve problems that need to reach a relatively high level to be detected, and achieve fast test speed, short time-consuming, and reduced workload Effect

Inactive Publication Date: 2011-12-07
王士桥
View PDF0 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Regarding the rapid detection of waste oil, there are several types of rapid detection technologies or methods on the market, including rapid detection methods such as paper chromatography, thin layer chromatography, and sensors based on the detection of electrical conductivity and the total amount of polar compounds. Rapid detection methods based on the detection of heavy metal ion pollutants, as well as rapid detection methods based on the detection of waste oil acid value, peroxide value, etc., these methods hav

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
  • A method for identifying the quality of edible oil by combining nuclear magnetic resonance with pattern recognition
  • A method for identifying the quality of edible oil by combining nuclear magnetic resonance with pattern recognition
  • A method for identifying the quality of edible oil by combining nuclear magnetic resonance with pattern recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0021] 1. Test materials

[0022] Soybean oil, peanut oil, sesame oil, blended oil, waste oil, sample tube, deuterated chloroform (CDCl 3 ).

[0023] 2. Test equipment

[0024] BRUKER Avance 300 superconducting NMR spectrometer.

[0025] 3. Preparation of test samples

[0026] Take 20 microliters of soybean oil, add 0.6mL CDCl 3 Dissolve and place in a Φ5mm sample tube to obtain the sample solution to be tested. According to the law, 14 parts of soybean oil, 15 parts of peanut oil, 15 parts of sesame oil, 10 parts of blended oil, 11 parts of waste oil and 10 parts of blended oil mixed with 5% (V / V) waste oil were obtained.

[0027] 4. Test process

[0028] 1. Spectrum determination

[0029] Determination conditions: temperature: 295K, CDCl 3 For internal locking, each spectrum is scanned 16 times, the spectrum width is 20ppm, the pulse interval is 2s, and the pulse sequence is zg30.

[0030] The sample solution prepared above was measured on the nuclear magnetic reson...

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 detecting the quality of edible oil with nuclear magnetic resonance combined with pattern recognition, belonging to the field of food detection methods. This method first collects NMR signals under the same parameters for different quality oil samples, and then performs segmental integration on the spectrum, and after normalization and standardization of the obtained data matrix, pattern discrimination analysis is carried out; and the same quality oil Repeatability tests are carried out on similar samples; an oil quality test database is established based on the test data of different quality oils, and analysis and test standards are formed; finally, the quality of unknown oil samples is identified through the test data in the database. It is suitable for the identification and detection of genuine edible oil and inferior gutter oil or adulterated edible oil, and can identify the type of edible oil. The method of the invention has the advantages of high accuracy, good repeatability, quickness and economy, etc., and can provide reliable information for the identification of the quality of various edible oils and the identification of low-priced edible oils posing as high-priced edible oils.

Description

technical field [0001] The invention belongs to the nuclear magnetic resonance method in the instrumental analysis method, and in particular relates to a method for identifying the quality of edible oil by combining the nuclear magnetic resonance spectrum with a pattern recognition method. Background technique [0002] With the rapid development of the tertiary industry, the scale of my country's catering industry is expanding day by day, and the waste oil discharged from the catering wastewater is increasing day by day. Criminals illegally recycle and refine these waste oils, and toxic "waste oil" returns to the dining table. Harmful to human health. Statistics show that at present, 2-3 million tons of waste oil is returned to the table in my country every year, while the total annual consumption of animal and vegetable oil in my country is about 22.5 million tons, and waste oil accounts for 10% of the total. Regarding the rapid detection of waste oil, there are several typ...

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
IPC IPC(8): G01N24/08
Inventor 王士桥王强
Owner 王士桥
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products