Camellia oleosa seed oil adulteration detection method based on oleic acid/behenic acid and beta-amyrin/campesterol ratios

Abstract

The invention belongs to the field of food inspection and detection, and discloses a camellia oleosa seed oil adulteration detection method based on oleic acid / behenic acid and beta-amyrin / campesterolratios. Camellia oleosa seed oil and different vegetable oils are saponified, saponified substances are subjected to fatty acid content detection, non-saponified substances are subjected to triterpenoid compound detection, and through two ratios of oleic acid / behenic acid to beta-amyrin / campesterol, the content of fatty acid in the saponified substances is detected. Adulteration qualitative identification analysis can be rapidly carried out on rice oil, sunflower seed oil, corn oil, rapeseed oil, soybean oil, peanut oil and novel high-oleic-acid vegetable oil (high-oleic-acid peanut oil, high-oleic-acid sunflower seed oil and high-oleic-acid rapeseed oil) which are common in the market at present. According to the method, the adulteration in the pure tea oil can be judged through comprehensive judgment of two indexes, namely the ratio of methyl cis-oleate to methyl behenate is smaller than 1200 or the ratio of beta-amyrin to campesterol is smaller than 40, the adulteration characteristic of the pure tea seed oil can be visually presented, and the adulteration of the pure tea seed oil can be qualitatively identified.

Description

Technical field[0001]The invention relates to the field of food inspection and detection, in particular to a method for detecting adulteration of camellia seed oil based on the ratio of oleic acid / behenic acid and β-aromatic alcohol / cesterol.Background technique[0002]Camellia seed oil, also known as wild camellia oil and camellia oil, is a pure natural high-grade woody edible oil. Camellia oleifera grows in the subtropical Nanling humid climate zone, and the whole growth process does not require auxiliary means such as chemical fertilizers and pesticides. Camellia seed oil is a unique high-value woody vegetable oil in my country. Because of its rich nutrition and high price, the adulteration problem has always been serious. Low-priced vegetable oils such as peanut oil, soybean oil, cottonseed oil, sunflower oil or rapeseed oil Such phenomena as fake or adulterated sales to obtain huge profits are more common. At present, the detection methods of Camellia seed oil adulteration are ma...

AI Technical Summary

Problems solved by technology

[0006] In the actual application of the above main detection technologies, the conventional physical and chemical detection technology can only perform a rough qualitative analysis, and cannot perform quantitative analysis on a single substance, and has certain limitations in identifying whether it is mixed with other oil products; High fatty acid index, for the impersonation or doping of new high oleic vegetable oils (high oleic peanut oil, high oleic sunflower oil, high oleic rapeseed oil, etc.) on the market, the fatty acid discrimination index is often invalid ; However, the key characteristic compounds of camellia oil have not been developed for qualitative and quantitative purposes for the flavor and nutrients of camellia oil and spectral modeling, so the doping of camellia seed oil still lacks quantitative indicators, which cannot be well applied in the actual adulteration identification

In addition, spectral methods often need to model different vegetable oils, and often develop methods based on compounds with high content in vegetable oils. However, the sensitivity to Camellia oleifera seed oil doped with a small amount of other low-priced vegetable oils is low, and there is a lack of quantitative indicators, so it is not very good. application in actual adulteration identification

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