Method for rapidly detecting adulteration of olive oil

An olive oil, fast technology, applied in the direction of measuring device, color/spectral property measurement, material analysis by optical means, etc., can solve the problems of long cycle and high cost, and achieve the effect of fast detection means

Inactive Publication Date: 2011-03-30
SHANGHAI ENTRY EXIT INSPECTION & QUARANTINE BUREAU OF P R C
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Problems solved by technology

[0008] The purpose of the present invention is to provide a simple, easy, fast and convenient method for effectively and quickly det

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  • Method for rapidly detecting adulteration of olive oil
  • Method for rapidly detecting adulteration of olive oil
  • Method for rapidly detecting adulteration of olive oil

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Embodiment Construction

[0018] In order to further set forth the method for rapidly detecting olive oil using near-infrared spectroscopy, a more detailed description will be given below in conjunction with the examples.

[0019] This method mainly uses the combination of near-infrared spectroscopy and RBF neural network method to quickly and non-destructively identify the authenticity of olive oil, and the specific steps are as follows:

[0020] 1. Sample preparation:

[0021] Olive oil samples are different brands of olive oil, totaling 28 samples; sesame oil, soybean oil and sunflower oil are all purchased from major supermarkets, totaling 3 samples, the detailed samples of the above samples are shown in Table 1. 1 type of sesame oil was mixed into 10 types of olive oil, and the oil samples were mixed with 5%~50% of the mass ratio (w / w), totaling 26 samples; 1 type of soybean oil was mixed into 10 types of olive oil, According to the mass ratio (w / w) 5%~50% doped oil samples, a total of 45 samples...

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Abstract

The invention relates to a method for rapidly detecting adulteration of olive oil, particularly relating to a method for detecting the adulteration of the olive oil by combing a near-infrared spectroscopy with a principal component analysis-radial basis function neural network method, and mainly being used for solved the technical problems that the suitable detection method does not exist at home and abroad, the detection time is too long and the detection process is cockamamie. The detection method of the invention comprises the following detecting steps: putting a sample in a 5mm-detection cell and carrying out spectrum acquisition by the near-infrared transmission spectroscopy, wherein the scanning range is 12000cm-1-3700cm-1, the resolution ratio is 4cm-1, and the number of times of the scanning is 32; taking the average value after each sample is repeatedly detected for 5 times; selecting the spectrum wave band within 12000 to 5390cm-1 to carry out pretreatments of baseline correction and vector standardization on the original spectrum; extracting the principal components for the pretreated spectrum data by a principal component analysis method; establishing a model of a radial basis function (RBF) neural network after the principal component is extracted; and acquiring the near infrared spectrum of a sample to be detected and carrying out forecasting by the established model. By using the detection method of the invention, the olive oil can visually distinguished from the adulterated olive oil.

Description

technical field [0001] The invention relates to a method for detecting olive oil adulteration, in particular to a method for detecting olive oil adulteration by using near-infrared spectroscopy combined with principal component analysis-radial basis function neural network method. Background technique [0002] Food safety issues have become the focus of global attention. Food safety incidents have spread widely, causing huge social impact and economic losses, and also pose an increasingly serious threat to the safety of human living environment. There are undoubtedly many reasons for these situations. One of the main reasons is that the detection technology is backward, and there is a lack of rapid screening and detection technology that can be used on the spot. It is impossible to implement accurate and reliable monitoring and control of hazardous substance residues and adulteration . Timely, accurate and convenient detection of the above-mentioned food adulteration is one...

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Application Information

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IPC IPC(8): G01N21/35G01N21/3577G01N21/359
Inventor 王传现陆峰褚庆华翁欣欣李波韩丽倪昕路
Owner SHANGHAI ENTRY EXIT INSPECTION & QUARANTINE BUREAU OF P R C
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