Method for rapidly detecting yellow pigment content in wheat grain

A technology of wheat grain and yellow pigment, which is applied in the direction of measuring device, color/spectral characteristic measurement, material analysis through optical means, etc., to achieve the effect of reducing interference, simple processing method and simple operation

Inactive Publication Date: 2013-06-12
ZHOUKOU ACAD OF AGRI SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The near-infrared spectroscopy analysis method has been studied in the determination of moisture content, protein content, grain hardness, water absorption, wet gluten content,

Method used

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  • Method for rapidly detecting yellow pigment content in wheat grain
  • Method for rapidly detecting yellow pigment content in wheat grain
  • Method for rapidly detecting yellow pigment content in wheat grain

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] A batch of widely representative grains of different wheat varieties in the south of the Nanhuai wheat region were selected as the calibration set samples. In this experiment, 70 samples of different types of self-fertile high-generation lines were selected. The sample names are shown in Table 1 (Table 1 is the sample after picking out outliers).

[0031]1. Sample pretreatment: pick out impurities such as stones, soil clods and weeds in the wheat grain sample, and let it dry naturally, with the moisture content controlled at 12-13%. Randomly sample 20 g of each sample and use a cyclone mill to grind the wheat grains into whole wheat flour (the diameter of the milling screen used is 0.5 mm), which is used for the detection of the chemical value of the yellow pigment content, and the remaining part of the wheat grains is used for near-infrared spectroscopy data collection.

[0032] 2. Detection of the chemical value of the yellow pigment content of the sample: Weigh 3.000...

Embodiment 2

[0045] A total of 74 wheat grains from wheat breeding F1 offspring and some high-generation new lines were selected as calibration set samples (sample names are shown in Table 2). The specific steps are as follows:

[0046] 1. Sample pretreatment: pick out impurities such as stones, soil clods and weeds in the wheat grain sample, and let it dry naturally, with the moisture content controlled at 12-13%. Randomly sample 20 g of each sample and use a cyclone mill to grind the wheat grains into whole wheat flour (the diameter of the milling screen used is 0.8 mm), which is used for the detection of the chemical value of the yellow pigment content, and the remaining part of the wheat grains is used for near-infrared spectroscopy data collection.

[0047] 2. Detection of the chemical value of the yellow pigment content of the sample: Weigh 6.000g of the sample whole wheat flour and put it into a 100ml plastic bottle with a cover, add 30.0ml of water-saturated n-butanol solution, clos...

Embodiment 3

[0059] Select 32 wheat grains from the 2010-2011 National Wheat Huanghuai South Regional Test and Production Test Materials as samples for testing (sample names are shown in Table 3), and the specific steps are as follows:

[0060] 1. Sample pretreatment: pick out impurities such as stones, soil clods and weeds in the wheat grain sample, and let it dry naturally, with the moisture content controlled at 12-13%.

[0061] 2. Sample near-infrared spectrum collection: use the DA7200 near-infrared spectrum analyzer to collect the near-infrared spectrum of the sample, place the sample in the rotating sample cup (diameter 50mm, depth 20mm) on the spectrometer, set the collection spectrum resolution to 1nm, The spectral scanning range is 950-1650nm, the temperature is 23°C, each sample is scanned 3 times, the average spectrum is calculated, and stored in the computer for later use.

[0062]3. Detection of the chemical value of the yellow pigment content of the sample: use a cyclone mil...

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Abstract

The invention discloses a method for rapidly detecting yellow pigment content in a wheat grain. The method comprises the following steps of: carrying out preprocessing on near infrared spectrum data through a first-order derivative and a standard normal variable quantity transition method by taking chemical quantitative determination as foundation and utilizing a near infrared spectrum analyzer and an analysis software; and establishing a calibration model and carrying out optimizing process by adopting a partial least squares method and a multiple linear regression algorithm, embedding the optimized model in the near infrared spectrum analyzer, and rapidly predicating the yellow pigment content of the wheat grain by utilizing a near infrared spectrum to scan. The method provided by the invention has the advantages that the purpose of simple, rapid, efficient, high-throughput, low-cost, pollution-free, sample-destroying-free and multiple-components simultaneous measurement for mass materials at wheat breeding early stage is realized, and a new method is provided for rapidly screening the wheat new variety (system) with high yellow pigment content or low yellow pigment content of wheat breeding.

Description

technical field [0001] The invention belongs to the technical field of wheat quality detection, and in particular relates to a method for rapidly detecting yellow pigment content in wheat grains. Background technique [0002] The yellow pigment content of wheat grains has an important influence on the appearance quality of noodles, steamed bread and other foods. Yellow alkali noodles consumed in Japan and Southeast Asian countries require bright yellow, and flour with high yellow pigment content is conducive to improving its appearance quality. However, Chinese wheat products (such as noodles, steamed buns, etc.) Therefore, breeding new wheat varieties with high and low yellow pigment content is an important goal of wheat quality breeding. [0003] Many studies have shown that the correlation coefficients between the yellow pigment content of wheat grain and the yellowness of flour and dough are as high as 0.8-0.9, and the correlation coefficients with the color of bread an...

Claims

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Application Information

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IPC IPC(8): G01N21/35G01N21/31G01N21/3563G01N21/359
Inventor 殷贵鸿高艳唐建卫韩玉林黄峰王丽娜于海飞杨光宇李新平
Owner ZHOUKOU ACAD OF AGRI SCI
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