Method for detecting content of oleic acid, linoleic acid and palmitic acid in single-grain peanuts based on near infrared spectrum

Abstract

The invention relates to the technical field of peanut quality quick detection, and provides a method for detecting the content of oleic acid, linoleic acid and palmitic acid in single-grain peanuts based on a near infrared spectrum. The method comprises the steps: representative single-grain peanut seeds are selected as a standard sample set for establishing a prediction mathematical model of theoleic acid, the linoleic acid and the palmitic acid; peanut samples are subjected to near infrared spectrum measuring through a near infrared spectrometer, and near infrared spectrum information is collected; the content of the oleic acid, the linoleic acid and the palmitic acid in the single-grain peanut seeds in the standard sample set is measured through gas chromatography to obtain chemical values; and the chemical values of the oleic acid, the linoleic acid and the palmitic acid in the single-grain peanuts and corresponding near infrared spectrum data are used for establishing a mathematical model, and quantitative detection is achieved. According to the method, the content of the oleic acid, the linoleic acid and the palmitic acid in the single-grain peanuts can be detected quickly,accurately and nondestructively, operation is easy, pollution is avoided, early-stage selecting means are provided for genetic breeding, with the high oleic acid and the low linoleic acid and palmitic acid, of the peanuts, and the breeding progress is effectively accelerated.

Description

technical field [0001] The invention belongs to the technical field of peanut quality rapid measurement, in particular to a non-destructive and rapid detection method for the contents of oleic acid, linoleic acid and palmitic acid in a single peanut seed. Background technique [0002] Peanut (Arachis hypogaea L.) is one of the main oilseed and economic crops in the world. my country is the world's largest producer and consumer of peanuts. In the past five years, the annual planting area of ​​peanuts in China is 4.62 million hectares, accounting for 17.2% of the world's total, and the annual total output is 16.72 million tons, accounting for 37.5% of the global total. Among the domestic bulk oil crops, the total peanut production, oil production per unit area, and planting industry output rank first. When only half of the total peanut production is used for oil extraction, the annual peanut oil output is about 2.7 million tons, accounting for 100% of domestic vegetable oil pr...

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Problems solved by technology

For peanuts, a corresponding near-infrared detection method for fatty acids has also been established. For example, Chinese patent CN101887018A discloses a method for non-destructive determination of the main fatty acid content of peanut seeds based on Fourier transform near-infrared diffuse reflectance spectroscopy; Zhang The article "Research on the Fatty Acid Content of Peanut Seeds by Near-infrared Analysis" published by Yan et al. also discloses a method for near-infrared analysis of oleic acid and linoleic acid content in peanut seeds, which needs to take a suitable quality peanut sample into the funnel at the top of the instrument In the near-infrared spectrum measurement, it also disclosed that due to reasons such as the low content of palmitic acid in peanut seeds, the prediction accuracy of the model built for palmitic acid cannot meet the actual needs, and it is difficult to use it for accurate prediction of samples.

However, these methods currently established generally require 10g-100g peanut seeds as a sample, but breeders have very little sample size when breeding new peanut varieties, which often cannot meet the sample size requirements of existing detection methods. It is difficult to obtain ideal results, so the establishment of a single-seed fatty acid near-infrared spectrum detection method will undoubtedly enable the breeding work to be carried out earlier, which is very important for the breeding work

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