In the case of mixing powder samples will result in inaccurate results measured by the sample, so in order to effectively determine the results, an effective and feasible mixing method determines the double test error and the results of the measured value is exceeded, especially in the grain and oil products industry We are familiar with wheat flour brighteners. At present, the brighteners used in flour are almost all benzoyl peroxide. The amount of benzoyl peroxide is small, but this additive is generally added at the end of the milling process. After mixing, it is packed and shipped. The magnetic metal content in the sample is generally measured using a magnetic metal detector. WeChat sweep to get more professional information: Best Black Tea,Black Tea Leaves,Organic Black Tea,Chinese Black Tea Hunan Junshan Yinzhen Tea Industry Co.,Ltd , https://www.junshan-tea.com
The problem is that the added ratio of several hundred thousand parts, with limited agitation, is difficult to achieve a homogenous degree, that is, in the mixing of benzoyl peroxide powder and flour, it is easy to mix unevenly, making The dispersion of test results is large. We usually mix the sample with the mechanical and manual stirring method during the pretreatment of the sample. The commonly used mixing methods include the pile cone method, the ring cone method, and the roll method. Artificial stirring often fails to achieve a good mixing effect in a short period of time. The magnetic metal material analyzer is the basic equipment for the grain and oil testing laboratory. Can the magnetic metal material analyzer be used to uniformly mix the samples? Using methyl violet as a tracer, tests were conducted to determine the uniformity of mixing of a sample of wheat flour mixed with a magnetic metal material analyzer.
Add tracer methyl violet pigment in proportion to wheat flour sample, mix the wheat flour sample by magnetic metal material analyzer before processing, take 4 samples of different orientations, and determine the methyl content of each sample by colorimetric method. purple. The relative standard deviation is abbreviated as the relative difference. It is an important index to measure the reproducibility of the measured value. The deviation degree of the measurement result is also called the coefficient of variation. Here, we use the coefficient of variation of the absorbance value to reflect the homogeneity of the sample. 