Near infrared spectrum based detection method for rapid discrimination of oil-tea camellia seed oil real property

Abstract

The invention discloses a near infrared spectrum based detection method for rapid discrimination of oil-tea camellia seed oil real property. The method comprises the following steps: first, a near infrared spectrometer is used to acquire spectrum data of an oil-tea camellia seed oil sample to be detected, and a near infrared spectrum scan wave number, a near infrared spectrum scan frequency and a resolution are controlled during acquisition; then data with spectral band within 5750-6000cm<-1> are selected from an acquired standard spectrum and treated with a smoothing, a first derivative processing and a self-normalization; at last the data is input into an oil-tea camellia seed oil discrimination and analysis model, and a mahalanobis distance discrimination method is employed to determine whether a sample point falls in a delimited real sample area in the oil-tea camellia seed oil discrimination and analysis model, so as to determine true or false of the sample to be detected. The detection method of the invention has advantages of simple operation, rapid detection, safety, environmental protection, and high precision.

Description

technical field [0001] The invention relates to a method for detecting camellia oil, in particular to a method for detecting the real property of pure camellia oleifera seed oil. Background technique [0002] Camellia oleifera is a plant of the genus Camellia in the family Theaceae, and it is a unique oil tree species in my country. The planting area of ​​camellia oleifera forest in my country is about 4 million ha 2 , mainly distributed in the southern provinces of Hunan, Jiangxi, Guangxi, Zhejiang, Fujian, Anhui and Guizhou, accounting for more than 80% of the planting area of ​​woody oil plants in the country, with an annual output of more than 600,000 tons of Camellia oleifera seeds. [0003] At present, the varieties of tea oil on the market include 100% wild camellia oil, 100% tea seed oil, tea seed (rapeseed) blended oil, etc. In order to promote the improvement of the quality of tea oil and prevent adulteration, for 100% pure camellia oil, "GB 11765-2003 Camellia Se...

AI Technical Summary

Problems solved by technology

However, chemical qualitative analysis methods sometimes cannot accurately judge the purity of camellia oil, and it may be necessary to use chromatographic analysis methods to determine the fatty acid composition of oils and fats at the same time.

These shortcomings limit the determination of fatty acids in a large number of samples. It is necessary to find a simple, fast and high-precision qualitative method to identify the true properties of Camellia oleifera seed oil to ensure the quality of camellia oil

[0004] Near-infrared spectroscopy is a new technology that has emerged in the field of detection applications in recent years. It has applications in the fields of grain quality detection, wine quality and wine age detection, and trans fatty acid content detection in edible oils and fats. However, The above-mentioned application fields, detection objects, detection items, and specific methods of detection and analysis are quite different, and so far no one has proposed the application of near-infrared spectroscopy technology to the detection of 100% pure camellia oil quality. This is not only because tea Oil detection methods are complicated, and those skilled in the art rarely associate the detection of camellia oil properties with the application of near-infrared spectroscopy

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