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Infrared detection method for rapeseed oil quality and application

A near-infrared detection and rapeseed oil technology, which is applied to measurement devices, material analysis by optical means, instruments, etc., can solve the problems of few near-infrared quantitative models, unclear near-infrared characteristic wavelengths, and unclear models.

Active Publication Date: 2015-12-23
HUAZHONG AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, these studies still have a lot of spectral residual information, the near-infrared characteristic wavelength for each index is not clear, the model is not clear, and there are few reports on the near-infrared quantitative model of edible oil color and viscosity.

Method used

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  • Infrared detection method for rapeseed oil quality and application
  • Infrared detection method for rapeseed oil quality and application
  • Infrared detection method for rapeseed oil quality and application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0191] Example 1: Near infrared detection of palmitic acid in rapeseed oil

[0192] 1) Rapeseed oil samples: a total of 125 rapeseed oil samples are pure rapeseed oil samples of different origins and grades, and there are also 20 rapeseed blended oil samples, totaling 145;

[0193] 2) Determination of palmitic acid content in rapeseed oil according to GB / T17377-2008, the basic statistical data of palmitic acid content in rapeseed oil samples are shown in Table 1;

[0194] The basic statistical data (%) of palmitic acid content of table 1 rapeseed oil

[0195]

[0196] 3) Shake the rapeseed oil sample evenly, place it in a quartz stone sample cell with an optical path of 5 mm, cover it, and scan it with a near-infrared spectrometer. Before scanning, it needs to be turned on and preheated for 30 minutes. After preheating, the number of debugging scans is 10 times, the temperature of the detection room is 40°C, the fixed wavelength range is 1000-1799nm, the scanning interval ...

Embodiment 2

[0209] Example 2: Rapeseed oil oleic acid, linoleic acid, linolenic acid, stearic acid, arachidonic acid, erucic acid, acid value, peroxide value, iodine value, color yellow value, red value, viscosity near-infrared detection

[0210] 1) With the method detection method of embodiment 1 step 1) the content of rapeseed oil linoleic acid, linolenic acid, oleic acid, stearic acid, arachidonic acid, erucic acid, measure rapeseed oil acid value, peroxide value, See Table 4 for iodine value, color yellow value, red value, and viscosity index.

[0211] Table 4 Basic statistical data of rapeseed oil fatty acids (mg / g)

[0212]

[0213] 3) According to the method of embodiment 1 step 3), the sample is scanned by near-infrared spectrum;

[0214] 4) According to the method of embodiment 1 step 4), the abnormal sample is removed and the sample set is divided into the sample;

[0215] 5) Near-infrared spectrum preprocessing: for the step 4) correction set absorbance value x ij Perfor...

Embodiment 4

[0351] Example 4: The impact of abnormal sample removal on model accuracy

[0352] Taking the index of rapeseed oil linolenic acid as an example, the removal of abnormal samples will be further explained (the removal of abnormal samples of other indicators is the same as in this embodiment, and the present invention is not exhaustive. Those skilled in the art can repeat the method of the present invention by using the method of the present invention. Effect).

[0353] The near-infrared spectrum scanning method of rapeseed oil and the detection method of sample linolenic acid are the same as in Example 1, and the partial least squares method is used to respectively establish the calibration of linolenic acid for the untreated original sample set and the sample set after abnormal samples are removed. Model, the calibration set determination coefficient and standard deviation of the two models, and the calculation results of the verification set standard deviation are shown in Ta...

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Abstract

The invention belongs to the technical field of grease analysis, and particularly relates to an infrared detection method for the rapeseed oil quality and application. The infrared detection method comprises the following steps that rapeseed oil samples are collected; physical-chemical testing is performed on the rapeseed oil samples; infrared scanning is performed on the rapeseed oil samples; abnormal sample removal and sample set partition are performed on obtained light absorption values; pretreating is performed; obtained pretreating light absorption values are analyzed and screened to obtain near infrared spectrum characteristic wavelengths; a prediction model of the rapeseed oil quality is established through a stepwise regression method. According to the infrared detection method, the obtained information is visualized and reliable, the characteristic wavelengths of the rapeseed oil quality are determined, the number of the characteristic wavelengths is few, and an analysis method of establishing the model through the characteristic wavelengths is applied to improve the precision of the model. On the condition of the same prediction precision, the prediction speed of the method is high; meanwhile, rapeseed oil analysis established through the method is more comprehensive, and use and popularization are easy.

Description

technical field [0001] The invention belongs to the technical field of oil analysis, and in particular relates to a near-infrared detection method and application of rapeseed oil quality. Background technique [0002] Rapeseed oil is the third largest vegetable oil in the world. The scientific evaluation and monitoring of its quality has always been a hot topic. However, the current detection of rapeseed oil quality indicators has the disadvantages of complicated operation, time-consuming, and labor-intensive. Based on the advantages of non-destructive, green, efficient, and convenient, near-infrared spectroscopy analysis technology has been applied to the detection of fatty acid composition, acid value, peroxide value, iodine value and other indicators of oil. In foreign countries, RaoYL et al. used the partial least squares method to construct a near-infrared quantitative model of rapeseed oil acid value. The correlation coefficient of the calibration set reached 0.972, an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/359G01N21/3577
Inventor 赵思明黄汉英胡月来熊善柏李希熙
Owner HUAZHONG AGRI UNIV
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