Two-dimensional correlation spectroscopy multi-scale modeling method for olive oil impurity identification

A technology of two-dimensional correlation spectroscopy and modeling method, which is applied in the field of multi-scale modeling of two-dimensional correlation spectroscopy for olive oil adulteration identification, and can solve the problems of complex, overlapping, and poor identification resolution of olive oil Raman spectrum peaks

Inactive Publication Date: 2016-06-01
河北伊诺光学科技股份有限公司
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Problems solved by technology

However, due to the complexity and serious overlapping of the Raman spectrum peaks of olive oil, especially the similar characteristics of

Method used

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  • Two-dimensional correlation spectroscopy multi-scale modeling method for olive oil impurity identification
  • Two-dimensional correlation spectroscopy multi-scale modeling method for olive oil impurity identification
  • Two-dimensional correlation spectroscopy multi-scale modeling method for olive oil impurity identification

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Experimental program
Comparison scheme
Effect test

Embodiment

[0063] Samples and Instruments

[0064] Samples: Four different brands of olive oil and soybean oil, sunflower oil, palm oil, peanut oil.

[0065] Instrument: Portable Raman Spectrometer

[0066] Specific steps include:

[0067] (1) Preparation of adulterated samples of different brands of olive oil: 4 groups were arranged in the experiment, with 40 adulterated samples in each group. Wherein the soybean oil is blended into the olive oil according to the volume fraction of 0.5% to 3%, the increment is 0.5%, 3% to 10%, the increment is 1%, and 10% to 40%, the increment is 10%. For sunflower oil, palm oil, and peanut oil, the same method is adopted for doping.

[0068] (2) Place the sample in a constant temperature water bath, heat the sample to 40, 50, 60, 70, 80, and 90 degrees Celsius, respectively, and collect the sample spectrum with a portable Raman spectrometer after the temperature is constant.

[0069] (3) Read out the collected data using matlab2011b, and use the tw...

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Abstract

The invention discloses a two-dimensional correlation spectroscopy multi-scale modeling method for olive oil impurity identification. The method comprises selecting the optimal two-dimensional wavelet basis, carrying out multi-scale decomposition and all layer respective reconstitution through the optimal two-dimensional wavelet basis, carrying out modeling and predicting on each layer of the reconstituted correlation spectrum through NPLS, acquiring a root-mean-square error subjected to cross validation, carrying out submodel fusion through the calculated weight, and evaluating multiscale-two dimensional correlation spectrum model result and performances through the predicted root-mean-square error and correlation coefficient. Compared with the routine model, the modeling method substantially improves a precision and reliability of a conventional Raman spectroscopy model, finds novel symptom information in a sample spectrum, prevents information loss, realizes simple and reliable Raman spectrum analysis and can be widely used in complex system spectral analysis.

Description

technical field [0001] The invention relates to a modeling method, in particular to a two-dimensional correlation spectrum multi-scale modeling method suitable for identification of olive oil adulteration. Background technique [0002] Olive oil is produced in the coastal countries of the Mediterranean Sea and has a history of thousands of years. It is known as the "Queen of Vegetable Oils" by the West. It can not only promote blood circulation, improve the endocrine system, not only has rich nutrition, but also has certain beauty effects , so it has won the favor of more and more consumers. The value of olive oil far exceeds other types of vegetable oils. In order to pursue high profits, unscrupulous traders blend a large amount of cheap vegetable oils with olive oil for extraction by pressing, such as sunflower oil, soybean oil, and hazelnut oil. Once these low-quality adulterated oils enter the market, they may pose a serious threat to human health, so a method that can ...

Claims

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Application Information

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IPC IPC(8): G01N21/65
Inventor 陈达许云涛
Owner 河北伊诺光学科技股份有限公司
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