Method for identifying peanut producing area

Abstract

The invention relates to an identification method, and specifically relates to a method for identifying the peanut producing area. The method is mainly used to identify the peanut producing area. The method comprises the following steps: using a qualitative or quantitative method to measure the independent variable of a grinded peanut sample, utilizing the independent variable factor to carry out model regression, establishing a peanut producing area judging model, and judging the peanut producing area according to the value of the variable; wherein the independent variable factor (Xj) is composed of seven fatty acids in peanut grease: hexadecenoic acid (C16:1), hexadecanoic acid (C16:0), linoleic acid (C18:2), cis-11-eicosenoic acid (C20:1), decosahedaenoic acid (C22:1), tricosanoic acid (C23:0), and pentacosanoic acid (C25:0). The provided method can effectively identify the peanut producing area (geo-tag), and is capable of guaranteeing the food safety, and providing theoretical references for peanut optimization planting. The provided method can also be applied to quality and safety control of agricultural products in China and has a wide application prospect.

Description

technical field

[0001] The invention relates to a method for identifying the origin of agricultural products, in particular to a method for identifying the origin of peanuts. Background technique

[0002] As an oil crop and multi-purpose economical plant, peanut is widely distributed in more than 20 provinces and autonomous regions in my country. Due to the impact of environmental factors such as climate, soil, water quality, and atmosphere, and the difference in planting patterns, the quality of peanuts in different regions varies significantly. At present, the quality control of peanut production in different origins in my country is different, resulting in complex sources of peanuts on the market and uneven quality. Therefore, it is urgent to establish a set of stable and reliable quality monitoring methods to ensure the traceability of the origin of peanuts. Origin traceability research can protect local specialty products and brands by identifying the origin of food, ...

Examples

Embodiment

[0042] (1) Hubei (7 batches), Fujian (3 batches), Jiangxi (28 batches), Shandong (2 batches), Heilongjiang (2 batches), Liaoning (7 batches of samples), a total of 49 batches The second peanut sample was analyzed and studied. After the sample was collected, it was washed, dried, and ground for later use.

[0043] (2) GC-MS was used to determine hexadecenoic acid (C 16:1 ), hexadecanoic acid (C 16:0 ), linoleic acid (C 18:2 ), arachidonic acid (C 20:1 ), docosenoic acid (C 22:1 ), tricosanoic acid (C 23:0 ), pentacosanoic acid (C 25:0 ) and other fatty acid content.

[0044] (3) 49 batches of samples were used as blind samples, and the measured independent variable values ​​were substituted into the established model formula, and the corresponding discrimination results were obtained. The comparison of the discriminant results with the actual source is shown in Table 2. It can be seen from Table 2 that the discrimination accuracy rate of peanuts in 6 provinces is 69.2-1...

technical field

[0001] The invention relates to a method for identifying the origin of agricultural products, in particular to a method for identifying the origin of peanuts. Background technique

[0002] As an oil crop and multi-purpose economical plant, peanut is widely distributed in more than 20 provinces and autonomous regions in my country. Due to the impact of environmental factors such as climate, soil, water quality, and atmosphere, and the difference in planting patterns, the quality of peanuts in different regions varies significantly. At present, the quality control of peanut production in different origins in my country is different, resulting in complex sources of peanuts on the market and uneven quality. Therefore, it is urgent to establish a set of stable and reliable quality monitoring methods to ensure the traceability of the origin of peanuts. Origin traceability research can protect local specialty products and brands by identifying the origin of food, ...

Examples

Embodiment

[0042] (1) Hubei (7 batches), Fujian (3 batches), Jiangxi (28 batches), Shandong (2 batches), Heilongjiang (2 batches), Liaoning (7 batches of samples), a total of 49 batches The second peanut sample was analyzed and studied. After the sample was collected, it was washed, dried, and ground for later use.

[0043] (2) GC-MS was used to determine hexadecenoic acid (C 16:1 ), hexadecanoic acid (C 16:0 ), linoleic acid (C 18:2 ), arachidonic acid (C 20:1 ), docosenoic acid (C 22:1 ), tricosanoic acid (C 23:0 ), pentacosanoic acid (C 25:0 ) and other fatty acid content.

[0044] (3) 49 batches of samples were used as blind samples, and the measured independent variable values ​​were substituted into the established model formula, and the corresponding discrimination results were obtained. The comparison of the discriminant results with the actual source is shown in Table 2. It can be seen from Table 2 that the discrimination accuracy rate of peanuts in 6 provinces is 69.2-1...

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