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

High performance liquid chromatography based illegal cooking oil cluster analysis method

A high-performance liquid chromatography and cluster analysis technology, applied in the field of waste oil cluster analysis, can solve the problem of not being used as waste oil, and achieve the effects of improving accuracy and sensitivity, improving accuracy and sensitivity, and avoiding human errors.

Inactive Publication Date: 2013-07-31
UNIVERSITY OF CHINESE ACADEMY OF SCIENCES
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods are only for the detection of a certain impurity component in waste oil, which has certain reference significance, but they cannot be used as key indicators for the detection of waste oil.

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
  • High performance liquid chromatography based illegal cooking oil cluster analysis method
  • High performance liquid chromatography based illegal cooking oil cluster analysis method
  • High performance liquid chromatography based illegal cooking oil cluster analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Draw an equal volume of methanol and chloroform solution to make the diluent required for the experiment. All samples can be dissolved in the diluent; dissolve 100μl oil in 900μl of the above diluent, shake for 60s to make a solution, and use a disposable syringe The extracted solution was filtered through a 0.22 μm filter membrane, and 10 μl of the above solution was injected into the HPLC analyzer for analysis. The experiment used Shimadzu HPLC equipped with liquid chromatography system binary pump LC-20AT×2 sets, high-pressure gradient UV detector system SPD-20A and liquid chromatography system column oven CTO-20A, Venusil ASBC18 chromatographic column: 4.6mm×200mm, 5μm.

[0023] High performance liquid chromatography peak determination method: UV detection wavelength: 205nm; mobile phase A is acetonitrile, mobile phase B is isopropanol; gradient elution program: 0-100min, 0-80% B; 100-110min, 80- 0% B; 110.01-115min, 0%B; flow rate, 1.2ml / min; running time, 115min;...

Embodiment 2

[0028] Select various typical representative various edible oils on the market and all kinds of waste oils investigated and dealt with by the public security department, a total of 41 kinds, 6 major categories (see Table 2 for the sample table), carry out cluster analysis according to the method in Example 1 , see classification results figure 2 , cluster analysis can accurately cluster 41 oils into 6 categories.

[0029] Table 1 Name and serial number of oil

[0030]

[0031]

Embodiment 3

[0033] Example 1 was repeated in the same steps, except that 26 unknown samples were configured for discriminant analysis. 26 unknown samples were obtained from the Ministry of Health for the fourth blind test, and then provided to this method for determination. The measurement results are shown in Table 3, and the accuracy rate is 92.3%.

[0034] Table 226 unknown sample discriminant analysis results

[0035]

[0036]

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 relates to a high performance liquid chromatography based illegal cooking oil cluster analysis method. Main components of a target oil sample comprise triglyceride and other impurities, and the analytic detection of illegal cooking oil is realized through the cluster determination of high performance liquid chromatography peaks. The method is mainly characterized in that a high performance liquid chromatography technology is adopted and fourteen characteristic chromatographic peaks are selected to obtain the area percentages of the peaks, and the area percentages are normalized; a cluster analysis technology is adopted to cluster the known oil sample to six types and establish a sample database; and data of an unknown sample are detected through discriminant analysis. The detection method has the advantages of simple sample pretreatment, high accuracy, and good repeatability, and can effectively avoid the false negativity appearing in the single impurity component detection because a plurality of fingerprints are adopted for identifying.

Description

technical field [0001] The invention relates to a cluster analysis method for waste oil based on high performance liquid chromatography. According to the main components of the target oil sample are triglycerides and other impurities, the analysis, detection and separation and purification of waste oil are realized by combining the fingerprints of the characteristic peaks of high performance liquid chromatography with cluster analysis and discriminant analysis . The method belongs to the field of food analysis. Background technique [0002] Waste oil generally refers to various low-quality edible oils that exist in daily life, generally including hogwash oil, waste frying oil, waste oil produced by food and related enterprises, etc. Waste oil is extremely poor quality, extremely unhygienic, non-edible oil with excessive peroxide value, acid value, and water content. It can cause indigestion, abdominal pain and other diseases, and long-term consumption can even become an in...

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): G01N30/02
Inventor 何裕建刘庆菊蔡波太袁龙飞周影黄金成
Owner UNIVERSITY OF CHINESE ACADEMY OF SCIENCES
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