Method for detecting content of aluminum in potato starch

A technology of potato starch and detection method, which is applied to measurement devices, instruments, material analysis by optical means, etc., can solve the problems of high operator proficiency and skill requirements, long single detection time, and expensive instruments, etc. The effect of small amount, rapid detection, and simple instrument operation

Inactive Publication Date: 2016-04-20
ZHEJIANG UNIV
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Problems solved by technology

Although these traditional detection methods have the advantages of high detection accuracy and good stability, they require complex chemical pretreatment of the sample, a single detection time is long, easy to cause secondary pollution, and require high proficiency and skills of operators. , and the instrument is expensive

Method used

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  • Method for detecting content of aluminum in potato starch

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Embodiment Construction

[0027] In this embodiment, the method for detecting aluminum content in potato starch has specific steps as follows:

[0028] (1) Prepare test samples, and use potato starch with different aluminum content and potassium aluminum sulfate to be uniformly mixed and pressed as the test object, and the mass of each sample is 1.5g;

[0029] Prepare 10 groups of samples according to different gradients, number 1, 2, 3,..., 10 according to the aluminum content from 0 to 1%. Repeat 3 times for each group of samples. Weigh 1.5g potato starch and press tablets for 1 group of samples, repeat 3 times; 2 groups of samples weigh potato starch and aluminum potassium sulfate with the corresponding masses according to the 0.0033% aluminum mass in 1.5g samples, and mix them evenly And compressed into tablets, repeat 3 times; ... until the preparation of 30 samples in 10 groups is completed.

[0030] (2) Collect LIBS spectrum (X) of each test sample;

[0031] Set the parameters of the LIBS instrument ac...

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Abstract

The invention discloses a method for detecting the content of aluminum in potato starch. The method comprises steps as follows: 1) the content percentage Y of a sample aluminum element is taken as a gradient, and the starch and aluminum potassium sulfate powder are pressed into tablets to serve as detecting samples; 2) laser-induced breakdown spectral data X of each detecting sample are acquired; 3) the wavelengths of all wave crests of a curve of the laser-induced breakdown spectral data X are extracted, and the corresponding wavelength of the aluminum element is found out; 4) the data X are subjected to corresponding preprocessing and marked as X1, data, corresponding to the wavelength of the aluminum element, in X1 are extracted and marked as X2, and the obtained data (X2,Y) are randomly divided into a modeling set S and a predication set S' in proportion; 5) a linear regression model of the aluminum element content percentage and corresponding wavelength intensity of the aluminum is established according to the modeling set S with X2 as input and Y as output by the use of a partial least square method; 6) X2 of the predication set S' in the step 4) is input into the linear regression model in the step 5), and quantitative analysis is performed on the content of the aluminum in the potato starch.

Description

Technical field [0001] The invention relates to a detection technology for food harmful substances, in particular to a detection method for the aluminum content of potato starch. Background technique [0002] In recent years, food safety accidents have caused more and more people to pay attention to the field of food safety. Potatoes are an important food crop in the world, and their processed products such as potato starch are indispensable in people's daily diet. However, due to metal pollution and the addition of some illegal vendors, the aluminum content in potato starch exceeds the standard, and people's long-term consumption will cause harm to their health, such as Alzheimer's in old age. Therefore, how to quickly and accurately detect the aluminum content in potato starch is of great significance for both the food safety field and the metal detection field of agricultural products. [0003] For example, the publication number CN103323445A uses a laser Raman spectrometer to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/71
CPCG01N21/718
Inventor 刘飞宋坤林彭继宇叶蓝韩孔汶汶何勇
Owner ZHEJIANG UNIV
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