Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for rapidly identifying camellia oleosa seed oil processing mode based on taste fingerprint spectrum and method for predicting acid value and peroxide value based on taste fingerprint spectrum

A technology of taste fingerprints and camellia oleifera seed oil, which is applied in the direction of testing food, measuring devices, instruments, etc., can solve the problems of few process sources and difficulty in distinguishing adulterated rapeseed oil samples, and achieve the effect of environmental friendliness, simplicity, speed and cost

Active Publication Date: 2020-11-06
GUANGDONG IND TECHN COLLEGE
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Peng Xingxing (2015) used the electronic tongue combined with PCA and LDA analysis methods to quickly detect the phenomenon of walnut oil mixed with rapeseed oil, but it is difficult for PCA analysis to distinguish when the mass fraction of rapeseed oil mixed is between 10% and 50%. adulterated samples; Zhang Hang (2013) used electronic tongue technology to effectively distinguish and identify different adulterated ratios of palm oil in olive oil
Existing research is mainly aimed at the distinction between different edible oil varieties, and there are relatively few researches on the quality and process sources of the same edible oil, and there are no reports on the use of electronic tongue technology for oil detection in China.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for rapidly identifying camellia oleosa seed oil processing mode based on taste fingerprint spectrum and method for predicting acid value and peroxide value based on taste fingerprint spectrum
  • Method for rapidly identifying camellia oleosa seed oil processing mode based on taste fingerprint spectrum and method for predicting acid value and peroxide value based on taste fingerprint spectrum
  • Method for rapidly identifying camellia oleosa seed oil processing mode based on taste fingerprint spectrum and method for predicting acid value and peroxide value based on taste fingerprint spectrum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] In this example, Camellia oleifera seed oil with different processing methods is used as test samples, including 5 parts of commercially available camellia oil, 15 parts of supercritically extracted camellia oil, and 10 parts of solvent-extracted camellia oil, totaling 30 parts. 24 samples were used as testing samples, and the remaining 6 samples were used as verification samples.

[0034] 1) Pretreat 30 camellia seed oils respectively: in a 200mL beaker, mix 12g of oil and 85g of distilled water, keep warm at 60°C, homogenize for 3min, after cooling to room temperature, add 50g of reference solution (KCl and tartaric acid (mass ratio 50:1)), centrifuged at 3000rpm for 10min, removed the supernatant, and refrigerated for later use.

[0035] 2) Electronic tongue detection of Camellia oleifera seed oil samples: At room temperature, the activated taste sensor arrays are respectively contacted with the samples to be tested, and the potential signals between different taste ...

Embodiment 2

[0046] Camellia oil sample pretreatment

[0047] In a 200mL beaker, mix 10g of oil and 100g of distilled water, keep warm at 60°C, and homogenize for 3 minutes. Centrifuge for 10 min, remove the supernatant, and refrigerate for later use.

[0048] Test condition is the same as embodiment 1, and the measurement result obtained is similar to embodiment 1.

Embodiment 3

[0050] Camellia oil sample pretreatment

[0051] In a 200mL beaker, mix 10g of oil and 100g of distilled water, keep warm at 60°C, and homogenize for 3 minutes. Centrifuge for 10 min, remove the supernatant, and refrigerate for later use.

[0052] Test condition is the same as embodiment 1, and the measurement result obtained is similar to embodiment 1.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention belongs to the field of grease detection, and particularly discloses a method for rapidly identifying a camellia oleosa seed oil processing mode based on taste fingerprint spectrum and amethod for predicting an acid value and a peroxide value based on a taste fingerprint spectrum. A large number of basic researches in the earlier stage discovers that by means of proper camellia oleosa seed oil sample pretreatment and taste sense detection through a potential type electronic tongue, identification of different processing technologies of camellia oleosa seed oil can be achieved; meanwhile, the quality indexes such as the acid value and the peroxide value of the camellia oleosa seed oil are predicted according to the model. The invention provides the methods for rapidly identifying the camellia oleosa seed oil processing mode and predicting the acid value and the peroxide value based on the taste fingerprint spectrum, and the methods are simple, convenient, rapid, low in cost and environment-friendly, and have great advantages compared with a traditional chemical method.

Description

technical field [0001] The invention belongs to the field of oil detection, and in particular relates to a method for quickly identifying the processing mode of camellia oleifera seed oil and predicting acid value and peroxide value based on taste fingerprints. Background technique [0002] Cold pressing and solvent extraction are the most commonly used industrial methods in the petroleum extraction process. By reducing the high-temperature pretreatment of camellia seed, decolorization and deodorization of crude oil and other refining processes, cold-pressed oil can avoid over-refining, and its product quality can be guaranteed by reducing the loss of heat-sensitive bioactive compounds and the formation of benzopyrene at high temperature. Organic solvent extraction has obvious defects such as solvent residue and environmental pollution. For economic reasons, this method is still used, especially in the treatment of pressed seed cake. In contrast, cold-pressed oils showed s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00G01N33/03
CPCG01N33/0001G01N33/03
Inventor 段迪何秉驹唐瑞晖杨柳霞张泽操苏树材周春晖李静邓毛程
Owner GUANGDONG IND TECHN COLLEGE