Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method of predicting types and contents of other adulterated oil in tea oil

A technology of doping oil and camellia oil, which is applied in the field of chemical analysis and can solve the problems of low precision of qualitative and quantitative detection

Active Publication Date: 2017-07-14
NANCHANG UNIV
View PDF7 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to provide a method for predicting the types and contents of other adulterated oils in camellia oil aiming at the technical defects of the prior art, so as to solve the problem in the prior art that the qualitative and quantitative detection accuracy of other adulterated oils in camellia oil is relatively low. low technical issues

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 of predicting types and contents of other adulterated oil in tea oil
  • Method of predicting types and contents of other adulterated oil in tea oil
  • Method of predicting types and contents of other adulterated oil in tea oil

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] 1. Sample pretreatment

[0041] Taking commercially available Lvhai brand tea oil and Qiyunshan brand tea oil as pure tea oil samples, different proportions (0%, 10%, 20%, 30%, 40%, 50%, 60% , 70%, 80%, 100% v / v) of corn oil, sunflower oil and rapeseed oil, vortexed.

[0042] 2. NMR experiment

[0043] Take 200 μL mixed oil sample with 800 μL CDCl 3 Mix, vortex for half a minute, let stand at room temperature for 5 minutes, transfer 600 μL to a 5mm NMR tube for NMR experiments. The NMR conditions are: the proton resonance frequency is 600MHz, the time domain is 32K, the pulse is 90, the time is 11μs, the spectral width is 10ppm, the recovery time is 2s, the signal detection time is 2.73s, and the number of scans for each free induction decay is 32, The number of virtual scans is 4. Chemical shifts are in ppm with tetramethylsilane (TMS, δ=0) as internal standard.

[0044] 3. Data processing and analysis

[0045] Will measure 1 The H NMR free induction decay signa...

Embodiment 2

[0059] (1) Establish adulterated oil sample library

[0060] Mix pure tea oil with corn oil, sunflower oil, and rapeseed oil at a volume ratio of 5%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, and 80%, vortex, The total volume of the oil sample was 1 mL.

[0061] The tea oil used in the present invention comes from market sales and the National Quality Inspection Bureau, and corn oil, sunflower oil and rapeseed oil of different brands are purchased from local market.

[0062] (2) Obtain 1H NMR spectra of all oil samples

[0063] Take 200 μL mixed oil sample and 800 μL CDCl3, mix it, vortex, let it stand, and transfer it to a 5mm NMR tube for 1HNMR experiment. The NMR conditions are: the proton resonance frequency is 600MHz, the time domain is 32K, the pulse is 90, the time is 11μs, the spectral width is 10ppm, the recovery time is 2s, the signal detection time is 2.73s, and the number of scans for each free induction decay is 32, The number of virtual scans is 4. Chemical shifts a...

Embodiment 3

[0071] A method for predicting the type and content of other adulterated oils in camellia oil, comprising the following steps:

[0072] 1) Take pure camellia oil and other pure vegetable oils, mix the latter with the former in different volume ratios to obtain a number of samples to be tested;

[0073] 2) Take a number of samples to be tested as described in step 1), vortex and mix with deuterated chloroform respectively, and then detect their samples respectively. 1 HNMR spectrum;

[0074] 3) get the tea oil pure product of step 2) gained 1 H NMR spectra and other pure vegetable oils 1 H NMR spectrum, after phase and baseline calibration, segmental integration of different regions is used, and then PCA analysis is performed;

[0075] 4) Based on the PCA score situation obtained in step 3), select a preprocessing method for some of the obtained results in step 2) 1 The H NMR spectra were segmented and integrated respectively;

[0076]5) Take the data obtained in step 4) a...

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 provides a method of predicting types and contents of other adulterated oil in tea oil. The method includes the following steps: 1) collecting tea oil, maize oil, sunflower seed oil, and rapeseed oil in different types and brands, and doping the maize oil, sunflower seed oil and rapeseed oil with the tea oil at different ratio, and performing 1H NMR detection to obtain corresponding spectrums, and determining an optimum pretreatment method through a PCA score chart; and 2) further establishing qualitative and quantitative models through orthogonal partial least squares-determination analysis (OPLS-DA) and partial least squares (PLS), verifying the models, and finally identifying the models with a prediction set, when the adulteration quantity of the maize oil, sunflower seed oil and rapeseed oil is more than 5%, determination accuracy is higher than 97%. By means of the NMR data with the partial least squares, the volume fraction of adulterated oil can be quantitatively detected. The method is simple in operation and reliable in technology, and can quickly determine the types and quantities of the adulterated oil in tea oil.

Description

technical field [0001] The invention relates to the technical field of chemical analysis, and further relates to the application of nuclear magnetic resonance technology and chemometrics in the analysis of food components, in particular to a method for predicting the types and contents of other adulterated oils in camellia oil. Background technique [0002] Camellia oil, also known as camellia oil or camellia seed oil, is a pure natural high-grade edible vegetable oil extracted from the mature seeds of common camellia oleifera (Camellia oleifera Abel) in the family Theaceae. It is golden or light yellow in color, pure in quality, clear and transparent, and fragrant in smell , pure taste. Camellia oil is one of the four major woody vegetable oils in the world. The oil content of camellia oleifera seeds is generally 25-35%. The extracted camellia oleifera seed oil mainly contains unsaturated fatty acids such as oleic acid and linoleic acid. Similar, even some nutritional indi...

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): G01N24/08
Inventor 陈奕石婷朱梦婷聂少平谢明勇
Owner NANCHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com