Detection method for adulterated sesame oil

A detection method, the technology of sesame oil, is applied in the field of detection of adulterated sesame oil, which can solve the problems of harming the interests of consumers and achieve the effects of fast detection speed, high operation skills and good application prospects

Inactive Publication Date: 2014-11-05
HENAN UNIV OF SCI & TECH
View PDF6 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the market price of sesame oil is higher than that of other vegetable oils, lawbreakers add other vegetable oils to sesame oil and sell them as sesame oil to make huge profits, which seriously damages the interests of consumers.

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
  • Detection method for adulterated sesame oil
  • Detection method for adulterated sesame oil
  • Detection method for adulterated sesame oil

Examples

Experimental program
Comparison scheme
Effect test

preparation example Construction

[0029] (2) Preparation of oil samples: blending soybean oil, peanut oil and cottonseed oil into sesame oil respectively according to different mixing ratios to form multiple mixed oil samples mixed with soybean oil, peanut oil and cottonseed oil respectively; and The mixed oil samples are divided into calibration set samples and calibration set samples according to certain rules.

[0030] The calibration set samples are as follows: the mixed oil samples are sorted from low to high according to the mixing ratio, and samples with serial numbers 1, 2, 4, 5, 7, 8, 10, ... are selected into the calibration set;

[0031] The samples of the verification set are: the samples of the remaining samples 3, 6, 9, ... in the above sorting are selected into the verification set;

[0032] (3) Determination of fatty acid content: Utilize gas phase spectrometry to measure the content of myristic acid, linolenic acid, arachidic acid and wood tar acid in all mixed oil samples in step (2), obtain ...

Embodiment 1

[0039] Embodiment 1: the detection that mixes soybean oil in the sesame oil

[0040]Soybean oil was blended into sesame oil in different proportions, and 9 mixed oil samples were randomly prepared. First, use gas chromatography to measure the content of linolenic acid in these 9 oil samples as the chemical value, then collect the oil samples by infrared spectrum, and use the established model to measure the content of linolenic acid as the predicted value, the chemical value of linolenic acid The relative deviation of the value and predicted value is less than 7.7%, the results are as follows figure 1 shown.

Embodiment 2

[0041] Embodiment 2: the detection that mixes peanut oil in sesame oil

[0042] Peanut oil was blended into sesame oil in different proportions, and 9 mixed oil samples were randomly prepared. First, use gas chromatography to measure the content of arachidic acid and wood tar acid in these 9 oil samples as chemical values, then carry out infrared spectrum collection on the oil samples, and use the established model to measure the content of arachidic acid and wood tar acid As predicted values, the relative deviations of the chemical and predicted values ​​of arachidic acid and wood tar acid were both less than 6.2%, and the results were as follows figure 2 , 3 shown.

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 relates to a detection method for adulterated sesame oil. The method includes: mixing soybean oil, peanut oil and cottonseed oil into sesame oil to form mixed oil samples, measuring the content of myristic acid, linolenic acid, arachidic acid and tetracosanoic acid in the mixed oil samples by gas chromatography so as to obtain the true value of each mixed oil sample fatty acid; conducting near infrared spectrum scanning on the mixed oil samples; dividing the mixed oil samples into a calibration set and a validation set according to certain law based on the mixing proportion, and establishing a quantitative analysis model by means of the functional relationship between the near infrared spectrum information and the measured fatty acid true values of all the mixed oil samples in the calibration set; and carrying out near infrared spectrum scanning on sesame oil needing detection, and comparing the content values of myristic acid, linolenic acid, arachidic acid and tetracosanoic acid in the obtained sesame oil sample with the content specified in sesame oil standards so as to determine whether adulteration exists. The detection method for adulterated sesame oil provided by the invention has the characteristics of fast detection speed and high efficiency, is suitable for analysis of large-batch samples, and has good application prospects.

Description

technical field [0001] The invention relates to a detection method, in particular to a detection method of adulterated sesame oil. Background technique [0002] Sesame oil, also known as sesame oil and sesame oil, is an edible vegetable oil processed from sesame seeds. It is a semi-dry oil and is a favorite condiment for consumers. Sesame oil has a long history and has a history of more than 400 years in my country. It is one of the oldest oil varieties in my country. It has experienced the process of primitive human extrusion, water substitution method and power machine extrusion. Sesame oil has a strong fragrance and is a natural vegetable oil with high nutritional value and does not contain any harmful ingredients. It is widely loved by the public. It mainly contains 35%-45% oleic acid, 35%-50% linoleic acid, stearic acid 3.5% to 6%, palmitic acid 7% to 12%, arachidic acid and a small amount of linolenic acid, etc., and because of the high content of unsaturated fatt...

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): G01N21/3577G01N21/359
Inventor 刘建学田硕韩四海李璇罗登林李佩艳徐宝成辛莉焦肖飞张卫卫
Owner HENAN UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products