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Edible oil quality inspection method based on 1H-nuclear magnetic resonance (NMR) fingerprint spectra and multivariate analysis

A 1H-NMR, multivariate analysis technology, applied in the field of food analysis, can solve the problems of complex and time-consuming practical application of pretreatment, low accuracy rate, etc., achieve the effect of simple measurement method, increase accuracy rate, and avoid human error

Inactive Publication Date: 2012-10-10
GRADUATE SCHOOL OF THE CHINESE ACAD OF SCI GSCAS
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AI Technical Summary

Problems solved by technology

The correct rate of these methods is relatively low, generally about 80%, and it is not convenient for practical application because the sample pretreatment is too complex and time-consuming, but the mathematical statistical processing methods are very useful for reference

Method used

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  • Edible oil quality inspection method based on 1H-nuclear magnetic resonance (NMR) fingerprint spectra and multivariate analysis
  • Edible oil quality inspection method based on 1H-nuclear magnetic resonance (NMR) fingerprint spectra and multivariate analysis
  • Edible oil quality inspection method based on 1H-nuclear magnetic resonance (NMR) fingerprint spectra and multivariate analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Take 1ml sample and dissolve it in about 4ml CDCl 3 , Adjust its mass ratio to 1:7, vortex and mix for 5 seconds, take 0.6ml into the NMR tube, and measure after equilibrating the temperature for 5 minutes to room temperature. The experiment was performed on a Bruker Avance III nuclear magnetic resonance instrument with a power of 600MHz.

[0027] 1 H-NMR spectrum measurement method: time domain 32K; 90 pulse time: 11μs; spectrum width: 10ppm; relaxation: 2s; signal detection time: 2.73s; each free induction attenuation scan number: 32, virtual scan number: 4. The chemical shift is in ppm, and trimethylsilane (TMS, d=0) is used as the internal standard.

[0028] NMR spectrum data processing: operate on Bruker TOPSPIN 2.1 software. in 1 In the H-NMR spectrum, the total peak area is used as the unit 1, and the integral values ​​of various protons are normalized. Derive the relative content of various protons to prepare for the next data processing.

[0029] Cluster analysis a...

Embodiment 2

[0032] Collect all kinds of edible oils on the market and various types of seized waste oils obtained from the public security department as low-quality oils, a total of 54 types and 8 categories (see Table 2 for the sample table), cluster analysis and classification according to the method in Example 1 See the result figure 2 , Cluster analysis can accurately classify 54 species into 8 categories.

[0033] Table 2 Sample name and number

[0034]

[0035]

Embodiment 3

[0037] Repeat Example 1 according to the same steps, the difference lies in: configure 37 unknown samples for discriminant analysis. 37 unknown samples were configured by other units according to blind sample configuration requirements, and then provided to this method for determination. The measurement results are shown in Table 3, and the accuracy rate is 92%.

[0038] Table 337 Discriminant Analysis Results of Unknown Samples

[0039]

[0040]

[0041]

[0042]

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Abstract

The invention provides an edible oil quality inspection method based on 1H-nuclear magnetic resonance (NMR) fingerprint spectra and multivariate analysis. The edible oil quality inspection method is mainly characterized by comprising steps of developing 12 1H-NMR fingerprint spectra for identifying swill-cooked dirty oil; establishing an oil 1H-NMR fingerprint spectrum database according to the 12 1H-NMR fingerprint spectra; classifying samples in the database by clustering analysis; establishing a discriminant function, substituting 1H-NMR data of an unknown sample into the discriminant function; and judging the quality of the unknown sample according to a calculated result. The edible oil quality inspection method has the advantages of small sample quantity, simple pretreatment method, high sensitivity, low cost and high accuracy.

Description

Technical field [0001] The invention relates to a method for inspecting the quality of edible oil, and specifically refers to the combined use of nuclear magnetic characteristic fingerprint spectrum combined with cluster analysis and discriminant analysis for inspecting the quality of edible oil. This method belongs to the field of food analysis. Background technique [0002] In recent years, food safety accidents have occurred from time to time, among which the waste oil incident has a huge impact. Ditch oil refers to inferior oils such as waste fats from the catering industry, reused fats, and fats formed from other wastes. The inferior oil mixture is coarsely filtered to obtain crude crude oil, and then heated to deodorize and white clay decolorizing treatment to obtain crude oil, and then reheated, decolorized and vacuum deodorized to obtain refined waste oil. [0003] Refined waste oil is not significantly different from normal edible oil in terms of color or smell. Some la...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N24/08
Inventor 何裕建蔡波太袁龙飞周影许秀丽仲维科赵红李向军王二强苏佳利
Owner GRADUATE SCHOOL OF THE CHINESE ACAD OF SCI GSCAS
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