Classification test method and classification test system for edible oil and swill-cooked dirty oil

A technology for classification and detection of edible oils and fats, applied in the direction of material excitation analysis, Raman scattering, etc., can solve the problems of inability to obtain high-resolution bands and low signal-to-noise ratio, and achieve short identification time, strong specificity, The effect of easy operation

Inactive Publication Date: 2012-07-18
邹玉峰
View PDF5 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the advancement of equipment manufacturing, the problems of fluorescence (low signal-to-noise ratio), photolysis, wavelength correction, and inability to obtain high-resolution bands that previously limited Raman applications have been effectively resolved.

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
  • Classification test method and classification test system for edible oil and swill-cooked dirty oil
  • Classification test method and classification test system for edible oil and swill-cooked dirty oil
  • Classification test method and classification test system for edible oil and swill-cooked dirty oil

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0030] combine figure 1 As shown, the overall process of the detection method of the present invention is as follows:

[0031] The first step is to screen the common Raman characteristic peaks of various edible oils from the Raman scanning spectrum curve of edible oils, and use the wave number and Raman intensity value of the characteristic peaks as parameters to establish the Raman fingerprint of edible oils database.

[0032] Edible oils and fats have both common Raman characteristic bands and individual characteristic bands; Table 1 shows the common characteristic Raman bands, and all edible oils and fats will be separated at 1260cm -1 -1275cm -1 、1299cm -1 -1305cm -1 、1435cm -1 -1450cm -1 、1654 cm -1 -1659cm -1 、2853cm -1 -2856cm -1 、2884cm -1 -2905cm -1 、3006cm -1 -3015cm -1 There are obvious Raman peaks in the range.

[0033] ...

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

PropertyMeasurementUnit
Raman intensityaaaaaaaaaa
Login to view more

Abstract

The invention discloses a classification test method and a classification test system for edible oil and swill-cooked dirty oil. The classification test method comprises the following steps that: Raman fingerprint databases for edible oil and swill-cooked dirty oil are first created, and the notable difference between the maximum Raman intensity values of the characteristic peaks of edible oil and swill-cooked dirty oil within a five-band wave number range and the threshold of the difference are then obtained by way of comparison; and in a practical test, the variety of a tested samples obtained by extracting the maximum Raman intensity value of the characteristic peak of the tested sample within the five-band wave number range and comparing the maximum Raman intensity value with the difference threshold. The classification test system comprises a light source system, an optical splitter, a sample box and a measurement control unit. The invention has the advantages of flexibility and high specificity, and can effectively test whether a tested sample is pure swill-cooked dirty oil, pure edible oil meeting the active national standard or edible oil mixed with swill-cooked dirty oil or not; and meanwhile, the operation is simple and convenient, the testing time is short, and swill-cooked dirty oil can be tested on the spot.

Description

technical field [0001] The invention relates to a method and system for classifying and detecting edible oils and waste oils, belonging to the technical field of oils and oils detection. Background technique [0002] Waste oil refers to the oil extracted from the leftovers and leftovers (commonly known as swill) of restaurants and restaurants or the greasy floating objects in urban sewers after simple processing. In addition, it also includes the oil used for fried food that has been used more than a certain number of times, and then reused or re-used after adding some new oil to it; and the animal oil obtained from the processing of inferior meat, offal and other leftovers. It can be seen that the main difference between plant-based waste oil and edible oil is that it has been used or repeatedly used (that is, after repeated heating), while most or part of the raw materials of animal-based waste oil have been spoiled. In short, compared with normal edible oils and fats, th...

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): G01N21/65
Inventor 邹玉峰邵俊花徐幸莲周光宏
Owner 邹玉峰
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