High-efficiency nondestructive identification method for edible oil doped with less illegal cooking oil

A technology for waste oil and edible oil, applied in Raman scattering, material excitation analysis, etc., can solve the problems of the need to improve the identification efficiency and persuasion, the limited space for illegal profit, the limited identification ability, etc., and achieve rich fingerprint information of samples. , Improve the efficiency of identification and persuasion, the effect of strong identification

Pending Publication Date: 2017-08-25
DALIAN MARITIME UNIVERSITY
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology has limited ability to identify counterfeit oil samples with a low blending ratio of waste oil, and the operation is complicated
Taking chromatographic analysis as an example, it mainly analyzes the content and types of fatty acids in oil products. It not only needs to carry out a series of c

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-efficiency nondestructive identification method for edible oil doped with less illegal cooking oil
  • High-efficiency nondestructive identification method for edible oil doped with less illegal cooking oil
  • High-efficiency nondestructive identification method for edible oil doped with less illegal cooking oil

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] figure 1 It is a schematic diagram of a variable temperature Raman measurement experiment using a high-efficiency non-destructive detection device for organic matter based on variable temperature Raman technology. In the figure, the device includes a sample stage 1 with a groove structure, a window 4 is arranged directly above the groove of the sample stage 1, and one or more parallel sample tubes are arranged on the side of the sample stage 1 2, the socket communicates with the groove; the oil sample 3 contained in the sample tube 2 is inserted into the groove through the socket. The excitation light 15 emitted by the excitation light source passes through the confocal optical path through the Raman objective lens, and then passes through the upper window 7 of the waterproof vapor cover 5 and the upper window 4 of the groove of the sample stage 1, and irradiates the oil sample in the sample tube 2 3. The excited sample signal 16 reaches the detector and is recorded af...

Embodiment 2

[0057] Using Horiba JY XploRA micro confocal Raman spectrometer, in the temperature range from +15°C to -25°C, with an interval of 5°C, the genuine first-grade refined soybean oil, 1# and 2# refined waste oil, 3# and 4 #Standard samples and blind samples of blended oil samples are used to collect Raman spectral fingerprint data at different temperatures. The excitation wavelength is 532nm, the filter is set to 100%, the aperture and slit are 500μm and 200μm respectively, the grating is 1800T, the objective lens is 50×, and the detection range is 2850-2975cm -1 , the CCD detector temperature is -70°C, the exposure time is 1s, and each spectrum is accumulated 20 times; the protective gas is high-purity N 2 Gas, flow rate 60ml / min. All samples were tested under the same test conditions, and the spectral data were not subjected to any fluorescence background subtraction processing, and the two-dimensional synchronous correlation spectral data were calculated.

[0058] image 3 ...

Embodiment 3

[0069] Use the method identical with embodiment 2 to carry out the acquisition of Raman spectrum information to oil sample, and calculate two-dimensional synchronous correlation spectrum data; Systematic cluster analysis method and blind sample identification.

[0070] Figure 10 A and B show the results of systematic clustering analysis of the above-mentioned two-dimensional synchronous correlation Raman spectra by using the furthest neighbor element method, standardizing by Z score, and adopting the fourth-order Minkowski distance and Chebyshev distance respectively. As shown in the figure, the blind samples of authentic soybean oil, 1# refined waste oil, 2# refined waste oil, and two adulterated oils were all accurately identified.

[0071] Figure 11 A and B show the use of the furthest neighbor element method, the standardization method with a standard deviation of 1, and the fourth-order Minkowski distance and Chebyshev distance to systematically cluster the above two-...

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 provides an edible oil identification method with high identification ability. According to the technical scheme, a two-dimensional synchronous correlation and/or two-dimensional asynchronous raman spectra reflecting a C-H stretching vibration change mechanism can be extracted by adopting a temperature change control technology, and oil sample identification is performed by hierarchical cluster analysis. The method has the characteristics of small sample usage amount, no need of pretreatment, sample nondestructive property, simple and convenient operation, rich fingerprint information, high identification ability and the like, can rapidly identify authentic edible oil and refined illegal cooking oil, has extremely high identification ability on a doped oil sample with a mass ratio of the doped illegal cooking oil being as low as 5%, can obviously improve the identification efficiency and persuasive power to fake edible oil and has significances for cracking down on the fake edible oil and guaranteeing the public health safety.

Description

technical field [0001] The invention belongs to the technical field of edible oil detection and analysis methods, and in particular relates to a cluster analysis method for identifying gutter oil and gutter oil blended edible oil based on Raman spectrum. Background technique [0002] Edible oil adulteration poses a serious threat to food safety and public health, and relevant research on "cracking down on counterfeiting" is of great significance. The appearance of refined waste oil is very similar to that of refined first-grade soybean oil and salad oil, especially when the refined waste oil is mixed with genuine edible oil in a relatively low proportion, it is very difficult to identify, and it has become a food safety supervision inspection and edible oil. Difficulties and key points of cracking down on counterfeiting. The prior art has limited ability to identify counterfeit oil samples with a low blending ratio of waste oil, and the operation is complicated. Taking chr...

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): G01N21/65
CPCG01N21/65
Inventor 于迎涛李杰张璐
Owner DALIAN MARITIME UNIVERSITY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap