This standard specifies the definition of terms, evaluation procedures, sampling methods, inspection methods, evaluation models, and evaluation conclusions for the evaluation of soybean quality homogeneity. This standard applies to the evaluation of soybean quality homogeneity. NY/T 1010-2006 Technical Specification for Evaluation of Soybean Quality Homogeneity NY/T1010-2006 Standard download decompression password: www.bzxz.net
This standard specifies the definition of terms, evaluation procedures, sampling methods, inspection methods, evaluation models, and evaluation conclusions for the evaluation of soybean quality homogeneity. This standard applies to the evaluation of soybean quality homogeneity.

ICS67.200.20
Agricultural Industry Standard of the People's Republic of China
NY/T1010-2006
Technical regulation of estimation for soybean quality homegeneity2006-01-26Promulgated
2006-04-01Implementation
Ministry of Agriculture of the People's Republic of China
This standard is under the jurisdiction of the Ministry of Agriculture of the People's Republic of China. Drafting unit of this standard: Quality Supervision, Inspection and Testing Center of Soybean and Soybean Products of the Ministry of AgricultureMain drafters of this standard: Han Hongwen, Wang Nanyun, Wang Mansheng, Lu Baohua, Wang Yanling, Zhang Yuanying. NY/T1010—2006
1 Scope
Technical Specifications for Evaluation of Soybean Quality Homogeneity
NY/T1010—2006
This standard specifies the definitions of terms, evaluation procedures, sampling methods, inspection methods, evaluation models, and evaluation conclusions for the evaluation of soybean quality homogeneity. This standard applies to the evaluation of soybean quality homogeneity. 2 Normative References
The clauses in the following documents become clauses of this standard through reference in this standard. For any dated referenced document, all subsequent amendments (excluding errata) or revisions are not applicable to this standard. However, parties to an agreement based on this standard are encouraged to study whether the latest versions of these documents can be used. For any undated referenced document, the latest version shall apply to this standard. GB5491 Sampling and sub-sampling method for inspection of grains and oilseeds GB/T5511 Determination of crude protein for inspection of grains and oilseeds GB/T5512 Determination of crude fat for inspection of grains and oilseeds GB/T10111
Random sampling method using random number sampling device GB/T15500
Random sampling method using electronic random number sampling device 3 Terms and definitions
The following terms and definitions apply to this standard. 3.1
Consignment
The same grade, same cargo position, and same vehicle (tank) is a delivery batch. 3.2
Elementary batch
Each delivery batch is divided into areas according to the soybean storage method, which is called an elementary batch. Each elementary batch is an evaluation unit, not exceeding 200t. 3.3
Bulk sample
Divide the sampling area into layers, and take samples at each point. 3.4
Laboratory sample
The bulk sample is reduced to the sample for laboratory use. 3.5
Homogeneity
Evaluate the homogeneity of soybean quality based on the size of the standard deviation of the test results of the participating evaluation items. 3.6
Soybean quality
Soybean quality includes crude fat and water-soluble protein. 4 Evaluation procedure
4.1 Determine the evaluation unit
NY/T1010-2006
Divide the sampling area into layers according to the total amount of products and the shape of soybean piles (piles, solids), and each sampling area is an evaluation unit. 4.2 Sample support
Delineate the sampling points according to each area and select appropriate sampling tools and rod samples. 4.3 Determine the test items and evaluation items
4.4 Determine the test method
4.5 Determine the acceptance evaluation standard
4.6 Determine the evaluation model
Statistic the test results, select the evaluation model and perform calculations. 4.7 Evaluation conclusion
5 Sampling method
5.1 Determination of the number of inspection units
Not less than 9, and the mass of each large sample is greater than 1kg. 5.2 Zoning and sampling
5.2.1 Bulk soybeans
5.2.1.1 Warehouse sampling
Bulk soybeans should be divided into zones and points according to the pile type and area size, and the sampling should be carried out in layers according to the height of the grain pile. The steps are as follows:
5.2.1.1.1 Zoning points
The area of ​​each zone shall not exceed 50m. Each zone shall have a center, and there shall be 5 points in the four corners. When there are two or more zones, the two points adjacent to the boundary of the two zones are common points (two zones have 8 points in total, three zones have 11 points, and so on). The sampling point at the edge of the grain pile is set at 50cm from the edge.
5.2.1.1.2 Stratification
Stratify according to Table 1, and set sampling points for each layer: the upper layer is 10cm~20cm below the soybean surface; the middle layer is in the middle of the layer: the lower layer is 20cm from the bottom.
Sampling method: Sampling by layer, first up and then down, layer by layer, the number of samples at each point is the same, and the sample collected from each point of each layer is a large sample. Table 1 Number of layers for different soybean pile heights
Soybean pile business, m
5.2.1.2 Sampling of round silos (countries)
Number of layers
Add 1 layer for every 2m increase
First, layer according to the height of the round silo (enclosure), the number of layers is the same as Table 1: Each layer is set with equal spacing sampling points according to the diameter of the round silo: inside (center), middle (half of the radius) and outside (30cm from the silo edge) three circles: when the diameter of the round silo is 8m, each layer is sampled with equal spacing of inside 1, middle 2) and outside (3), for a total of 6 sampling points; when the diameter of the round silo is >8m, each layer is sampled with equal spacing of inside (1), middle (3) and outside (5), for a total of 9 sampling points. The sample collected at each point in each layer is 1 large sample. 5.2.2 Packaged soybeans
Divide into zones and layers according to the grain stacking conditions, and randomly determine the sampling packages according to the provisions of GB/T10111 or GB/T15500, and collect a large sample at each point.
5.2.3 Mobile soybeans
NY/T1010—2006
When soybeans are conveyed mechanically, the sampling points shall be randomly determined according to the flow of the mechanical conveyor belt and the provisions of GB/T10111 or GB/T15500, and the samples collected at each sampling point shall be a large sample. 5.3 Sampling tools
According to the provisions of GB5491.
5.4 Sampling method
According to the provisions of GB5491.
6 Inspection method
6.1 Crude fat
According to the provisions of GB/T5512.
6.2 Water-soluble protein
According to the provisions of GB/T5511.
7 Evaluation model
7.1 According to the test results, calculate the arithmetic mean (X) of a certain quality index of this batch of soybeans, according to (1). X-year
Where:
x-arithmetic mean of a certain quality index of this batch of soybeans; x, the single test result of a certain quality index of the first large sample of soybeans; n-the number of large samples of soybeans taken from this batch. (1)
7.2 Calculate the standard deviation (S) of a certain quality index of the same batch of soybean samples to reflect the degree of divergence of a certain quality index of this batch of soybeans, according to (2).
8Evaluation conclusion
Evaluation conclusion: Evaluate the homogeneity of soybean quality according to the provisions of Table 2 (XX)2
Table 2 Evaluation indicators of soybean quality
Evaluation conclusion
Good homogeneityWww.bzxZ.net
Good homogeneity
Poor homogeneity
Extremely poor homogeneity
Crude fat
0.5
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