CN114216953A - Method for rapidly identifying authenticity and processing technology of oil product - Google Patents
Method for rapidly identifying authenticity and processing technology of oil product Download PDFInfo
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- 238000000513 principal component analysis Methods 0.000 claims abstract description 37
- 238000002386 leaching Methods 0.000 claims abstract description 27
- 238000001514 detection method Methods 0.000 claims abstract description 15
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Abstract
A method for rapidly identifying the authenticity of an oil product and a processing technology comprises (1) respectively testing a real-time direct analysis mass spectrogram of a squeezing A oil standard product, a leaching A oil standard product and an A oil sample to be detected by adopting a real-time direct analysis ion source and a mass spectrometer; (2) performing principal component analysis on real-time direct analysis mass spectrograms of the squeezed A oil standard, the leached A oil standard and the A oil sample to be detected to obtain principal component analysis graphs of the squeezed A oil standard, the leached A oil standard and the A oil sample to be detected; (3) and judging whether the oil A sample to be detected is doped with the oil B or not and whether the processing technology of the oil A sample is pressing or leaching according to the principal component analysis diagram. The method for identifying the authenticity and the processing technology of the oil product is simple and quick, has high detection efficiency, and can accurately identify the authenticity and the processing technology of the oil product.
Description
Technical Field
The application relates to the field of analysis and detection, in particular to a method for rapidly identifying the authenticity of an oil product and a processing technology.
Background
The camellia seed oil is an oil product extracted from camellia seeds through squeezing or leaching, is generally planted in Jiangxi, Hunan and other places of China, and is called as 'east olive oil' due to the similarity of physicochemical properties and fatty acid composition of the camellia seed oil and olive oil. The oil tea seed oil is easy to be absorbed by human body, also contains various bioactive components beneficial to human body, and is usually used as high-grade edible oil. In addition, it is also gradually entering the fields of skin care products and cosmetics. Due to the planting cost and yield of the camellia oleosa seed oil in China, the increasing consumption demand of China and the pursuit of people for health, the price of the camellia oleosa seed oil is much higher than that of common edible oil, so that illegal merchants can add cheap oil or directly use the cheap oil to impersonate the camellia oleosa seed oil to obtain violence. In addition, the processing technology of the oil tea seed oil is also an important standard for oil quality identification. The oil product obtained by the squeezing method generally has stronger color, fragrance and taste, and better retains the nutrient components; the nutrient components of the oil product obtained by the leaching method are easy to damage, the tea oil characteristics such as color, fragrance and taste are lost, the risk of leaching solvent residue is also existed, but the oil yield is higher, the labor intensity is low, and the price is lower. At present, oil products such as Chinese peanut oil (according to the Chinese national standard GB/T1534-2017), soybean oil (according to the Chinese national standard GB/T1535-2017), corn oil (according to the Chinese national standard GB/T19111-2017) and sunflower seed oil (GB/T10464-2017) need to be marked with a character of 'squeezing' or 'leaching' on the outer package of the product so as to declare the processing technology. In the field of oil tea seed oil, although no relevant national standard exists, the requirement for identifying the processing technology is increasingly clear. In order to attack the adulteration of the camellia oleosa seed oil and the counterfeit processing technology, protect the healthy development of the local characteristic economic industry using the camellia oleosa seed oil, maintain the legal rights and interests of consumers and have great significance in identifying the authenticity of the camellia oleosa seed oil and the processing technology.
The methods currently used to identify oil processing techniques are spectroscopic methods and gas chromatography-sniffer methods (GC-O). The spectrum method has the characteristics of rapidness and no damage, but emission or absorption spectral lines do not belong to the inherent properties of analytes, the spectrum method does not have specificity, complex modeling processing is required, and the original model cannot be directly applied to small errors caused by different detection personnel or detection instruments. GC-O relies on gas chromatography detector and people's nose to detect simultaneously, and gas chromatography detects the limit height, and sensitivity is low, and the resolution ratio is low, and people's nose has certain subjectivity, only can rely on skilled professional technical personnel, is difficult to satisfy the demand of large-scale, short-term test. Therefore, a method for simply, quickly and highly sensitively identifying the authenticity and the processing technology of the camellia seed oil is urgently established.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the present application.
In recent years, atmospheric pressure ionization technology typified by Direct Analysis in Real Time (DART) has gradually become a hotspot in the field of mass spectrometry. The mass spectrum has the characteristics of high sensitivity, high specificity, high accuracy and the like, and becomes standard equipment for a plurality of quality control, public security and third-party laboratories. Since the appearance of direct analysis of mass spectrometry in real time (DART-MS) in 2005, it has been widely used in many fields such as food safety detection and control, energy environment, judicial identification, drug discovery and development as a novel atmospheric pressure ionization mass spectrometry technology. DART is generally classified as a composite desorption/ionization mode. The DART has the working principle that helium generates excited atoms through high-pressure discharge under the atmospheric pressure condition, the helium atoms in the excited state are rapidly heated, so that the helium atoms can be desorbed and instantaneously ionize a sample to be detected, polar and nonpolar compounds can be ionized simultaneously, and the detection ranges of gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry in the traditional mass spectrometry are considered. In addition, DART ion source commercialization degree is high, easy operation, only need to place the sample between ion source outlet and mass spectrum sampling port can be in the liquid, solid or material surface in the compound real in situ nondestructive analysis in a few seconds.
The application provides a method for rapidly identifying the authenticity and the processing technology of the oil product, the method is simple and rapid, the detection efficiency is high, and the authenticity and the processing technology of the oil product can be accurately identified.
Specifically, the application provides a method for rapidly identifying the authenticity and the processing technology of an oil product, which comprises the following steps:
(1) detecting a squeezing A oil standard substance, a leaching A oil standard substance and an A oil sample to be detected by adopting a real-time direct analysis ion source and a mass spectrometer under the same test condition to respectively obtain a real-time direct analysis mass spectrogram of the squeezing A oil standard substance, a real-time direct analysis mass spectrogram of the leaching A oil standard substance and a real-time direct analysis mass spectrogram of the A oil sample to be detected;
(2) performing principal component analysis on the real-time direct analysis mass spectrogram of the pressed A oil standard obtained in the step (1), the real-time direct analysis mass spectrogram of the leached A oil standard and the real-time direct analysis mass spectrogram of the A oil sample to be detected to obtain principal component analysis diagrams of the pressed A oil standard, the leached A oil standard and the A oil sample to be detected;
(3) judging whether the oil A sample to be detected is doped with the B oil or not and whether the processing technology of the oil A sample is pressing or leaching according to the relative positions of the oil A standard sample to be pressed, the oil A standard sample to be leached and the oil A sample to be detected in the principal component analysis chart:
if the oil A sample to be detected falls into the confidence interval of the pressed oil A standard product, the oil B is not mixed in the oil A sample to be detected, and the processing technology of the oil A sample to be detected is pressing;
if the oil A sample to be detected falls into the confidence interval of the leached oil A standard, the oil A sample to be detected is not doped with the oil B and the processing technology of the oil A sample to be detected is leaching;
if the oil A sample to be detected falls outside the confidence interval of the pressed oil A standard product and the confidence interval of the leached oil A standard product, the oil B is doped in the oil A sample to be detected, or the oil A sample to be detected is not the oil A, or the processing technology of the oil A sample to be detected is not the pressing and leaching;
wherein, the oil B is different from the oil A.
In the embodiment of the application, the method does not include the pretreatment of the sample to be detected, and is an in-situ detection method.
In the embodiments of the present application, the a oil may be selected from any one of camellia seed oil, soybean oil, peanut oil, sunflower oil, corn oil, sesame oil, and castor oil.
In embodiments of the present application, the mass spectrometer is a time-of-flight mass spectrometer, a triple quadrupole mass spectrometer, an orbitrap mass spectrometer, an ion trap mass spectrometer, or a fourier transform ion cyclotron resonance mass spectrometer.
In an embodiment of the application, the mass spectrometer is a time-of-flight mass spectrometer.
In an embodiment of the present application, the testing conditions of the real-time direct analysis ion source may include: the carrier gas is helium, nitrogen or argon; the moving speed of the sample injection track is 0.1mm/s to 10 mm/s; the temperature of the ion source heater is from room temperature to 500 ℃.
In an embodiment of the present application, the test conditions of the mass spectrometer may include: the scanning mode is a positive ion full scanning mode; the scan range is m/z 50 to m/z 2000.
In embodiments of the present application, the scan range of the mass spectrometer can be m/z100 to m/z 900.
In the embodiment of the present application, the sample injection mode using the real-time direct analysis ion source and the mass spectrometer may be: A12-Dip-it sample injection module is adopted for sample injection, a glass rod is used for dipping a sample, and then the glass rod is placed between an outlet of a real-time direct analysis ion source and a sample injection port of a mass spectrometer.
In the embodiment of the present application, the software used for the principal component analysis may be AnalyzerPro XD software, and the scale method Range is selected to present the principal component analysis map, and the confidence interval may be 95%.
The method for rapidly identifying the authenticity and the processing technology of the oil product can obtain the following effects:
1. the application establishes a method for rapidly identifying the authenticity and the processing technology of an oil product (such as camellia oleosa seed oil) in situ by DART-MS for the first time;
2. can be used for identifying the oil product type, and effectively identifying the truth and the processing technology of the oil product (such as the camellia seed oil);
3. if a matched high-throughput module is used, the analysis efficiency can reach 384 samples in 25 minutes.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. Other advantages of the present application may be realized and attained by the instrumentalities and combinations particularly pointed out in the specification and the drawings.
Drawings
The accompanying drawings are included to provide an understanding of the present disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the examples serve to explain the principles of the disclosure and not to limit the disclosure.
FIG. 1 is a PCA diagram of a squeezed camellia seed oil standard and a leached camellia seed oil standard in an embodiment of the application;
fig. 2 is a PCA chart of the camellia seed oil standard sample squeezing, the camellia seed oil standard leaching and the camellia seed oil sample to be tested in the embodiment of the application;
fig. 3 is a PCA chart of pressing the camellia seed oil standard, leaching the camellia seed oil standard, peanut oil and sunflower seed oil of the embodiment of the application;
fig. 4 is a PCA chart of a pressed camellia seed oil standard, a leached camellia seed oil standard, peanut oil and sunflower seed oil and a PCA chart of an oil sample to be tested according to an embodiment of the application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more apparent, embodiments of the present application will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The embodiment of the application provides a method for rapidly identifying the authenticity and the processing technology of an oil product, which comprises the following steps:
(1) detecting a squeezing A oil standard substance, a leaching A oil standard substance and an A oil sample to be detected by adopting a real-time direct analysis ion source and a mass spectrometer under the same test condition to respectively obtain a real-time direct analysis mass spectrogram of the squeezing A oil standard substance, a real-time direct analysis mass spectrogram of the leaching A oil standard substance and a real-time direct analysis mass spectrogram of the A oil sample to be detected;
(2) performing Principal component analysis on the real-time direct analysis mass spectrogram of the pressed A oil standard obtained in the step (1), the real-time direct analysis mass spectrogram of the leached A oil standard and the real-time direct analysis mass spectrogram of the A oil sample to be detected to obtain Principal component analysis charts (Principal components analysis, PCA) of the pressed A oil standard, the leached A oil standard and the A oil sample to be detected;
(3) judging whether the oil A sample to be detected is doped with the B oil or not and whether the processing technology of the oil A sample is pressing or leaching according to the relative positions of the oil A standard sample to be pressed, the oil A standard sample to be leached and the oil A sample to be detected in the principal component analysis chart:
if the oil A sample to be detected falls into the confidence interval of the pressed oil A standard product, the oil B is not mixed in the oil A sample to be detected, and the processing technology of the oil A sample to be detected is pressing;
if the oil A sample to be detected falls into the confidence interval of the leached oil A standard, the oil A sample to be detected is not doped with the oil B and the processing technology of the oil A sample to be detected is leaching;
if the oil A sample to be detected falls outside the confidence interval of the pressed oil A standard product and the confidence interval of the leached oil A standard product, the oil B is doped in the oil A sample to be detected, or the oil A sample to be detected is not the oil A, or the processing technology of the oil A sample to be detected is not the pressing and leaching;
wherein, the oil B is different from the oil A.
It should be understood that, in the description of the present application, the a oil means one kind of oil, and the B oil may include a plurality of kinds of oils, and as long as the oil is different from the a oil, it may be referred to as the B oil.
The method provided by the embodiment of the application can identify the truth of the camellia seed oil and other oil products, and can also identify the processing technology of the oil products if the camellia seed oil and other oil products are adulterated. Moreover, the method provided by the embodiment of the application is simple and rapid, can greatly improve the detection efficiency, can realize batch sampling inspection to full inspection of the sample, forcefully improves the administrative law enforcement strength, and simultaneously reduces the workload of technical staff. If a complete high throughput module is used, the assay efficiency can reach 384 samples in 25 minutes.
In the embodiment of the application, the method does not include the pretreatment of the sample to be detected, and is an in-situ detection method.
The existing chromatography-mass spectrometry detection method has the problems of complex pretreatment and long detection time, and the method provided by the embodiment of the application can realize the identification purpose without pretreating a sample (diluting with n-hexane, and only preventing signal supersaturation for protecting the mass spectrum), is simple and rapid, and improves the detection efficiency.
In the embodiments of the present application, the a oil may be selected from any one of camellia seed oil, soybean oil, peanut oil, sunflower oil, corn oil, sesame oil, and castor oil.
In embodiments of the present application, the mass spectrometer is a time-of-flight mass spectrometer, a triple quadrupole mass spectrometer, an orbitrap mass spectrometer, an ion trap mass spectrometer, or a fourier transform ion cyclotron resonance mass spectrometer.
Preferably, the mass spectrometer is a time-of-flight mass spectrometer. The method of the embodiments of the present application has a more accurate identification effect when using high resolution mass spectrometry, such as time-of-flight mass spectrometry.
In an embodiment of the present application, the testing conditions of the real-time direct analysis ion source may include: the carrier gas is helium, nitrogen or argon; the moving speed of the sample injection track is 0.1mm/s to 10mm/s, for example, 2 mm/s; the temperature of the ion source heater may be room temperature to 500 deg.C, e.g., 200 deg.C, 350 deg.C, 400 deg.C.
In an embodiment of the present application, the test conditions of the mass spectrometer may include: the scanning mode is a positive ion full scanning mode; the scan range may be m/z 50 to m/z 2000, for example, the scan range is m/z100 to m/z 900.
In the embodiment of the present application, the sample injection mode using the real-time direct analysis ion source and the mass spectrometer may be: A12-Dip-it sample injection module is adopted for sample injection, a glass rod is used for dipping a sample, and then the glass rod is placed between an outlet of a real-time direct analysis ion source and a sample injection port of a mass spectrometer, so that a real-time direct analysis mass spectrogram can be obtained.
In the embodiment of the present application, the software used for the principal component analysis may be AnalyzerPro XD software, and a scale Range may be selected to present a principal component analysis map with a confidence interval of 95%.
Instruments and reagents
Mass spectrometry: TripleTOF 5600+ high resolution time-of-flight mass spectrum, SCIEX corporation, usa;
real-time analysis of ion source DART, lonsense corporation, usa;
oil samples (sunflower seed oil, peanut oil, leached camellia seed oil standard (W19SP2043) and pressed camellia oil standard (W20SP0028)) are from the food inspection and detection institute in Jiangxi province;
n-hexane, chromatographic grade, Merck, usa.
Conditions of the apparatus
DART ion source parameters: the carrier gas is helium; grid voltage +250V (default); the declustering voltage is 80V (default); the moving speed of the sample injection track is 2 mm/s; the ion source heater temperature is 350 ℃;
mass spectrometer parameters: adopting a positive ion Full Scan (Full Scan) mode; the scan range is m/z100 to m/z 2000.
Sample introduction mode
Diluting the oil sample by 100 times with n-hexane; adopting a 12-Dip-it sample injection module for sample injection: dipping the glass rod into samples, and repeating 5 glass rods for each sample; a glass rod was placed between the DART ion source airflow outlet and the mass spectrometry sample inlet.
Data processing
Analytical spectra of the principal components of the oil samples were generated by Analyzer Pro XD software (SpectraWorks, UK).
Example 1
Principal Component Analysis (PCA) of processing technology of camellia seed oil
Diluting the squeezed oil tea seed oil standard substance and the leached oil tea seed oil standard substance by 100 times with n-hexane respectively. Dipping the diluted sample by a glass rod, placing the glass rod between the DART ion source airflow outlet and the mass spectrum sample inlet, and repeatedly injecting the sample for 5 times for each sample to obtain a positive ion mode full-scanning mass spectrogram of the sample. The obtained mass spectrogram is directly introduced into Analyzer Pro XD software for analysis, a principal component analysis chart is presented by selecting a scale method Range, and a PCA chart can be obtained by selecting 95% of confidence intervals.
Fig. 1 is a PCA chart of a pressed camellia seed oil standard and a leached camellia seed oil standard in an example of the present application. In the figure, the circle represents the leached camellia oil standard substance, and the triangle represents the squeezed camellia oil standard substance; the solid circles represent the 95% confidence intervals for the leached camellia seed oil standard and the expressed camellia seed oil standard, respectively.
It can be seen that the camellia seed oil of the two processing techniques can be easily distinguished. If the to-be-detected camellia oleosa seed oil sample falls within the standard circle of the leached camellia oleosa seed oil, indicating that the to-be-detected camellia oleosa seed oil is the leached camellia oleosa seed oil; if the oil-tea camellia seed oil falls into the standard circle of the pressed oil-tea camellia seed oil, pressing the oil-tea camellia seed oil; if the number of the circles is not two, the fact that the oil-tea camellia seed oil sample to be detected is not the oil-tea camellia seed oil actually, or the oil-tea camellia seed oil sample to be detected is mixed oil of the oil-tea camellia seed oil and other oil (oil except the oil-tea camellia seed oil), or the processing technology of the oil-tea camellia seed oil sample to be detected is not squeezing and leaching.
Fig. 2 is a PCA chart of the camellia seed oil standard sample squeezing, the camellia seed oil standard leaching and the camellia seed oil sample to be tested according to the embodiment of the application. As shown in fig. 2, the camellia seed oil sample to be tested (represented by a diamond shape) falls within the standard circle of the pressed camellia seed oil, which indicates that the camellia seed oil sample to be tested is the pressed camellia seed oil.
Example 2
Principal Component Analysis (PCA) for identifying oil tea seed oil
Diluting the pressed camellia seed oil standard substance, the leached camellia seed oil standard substance, the peanut oil and the sunflower seed oil by 100 times by using normal hexane respectively. Dipping the diluted sample by a glass rod, placing the glass rod between the DART ion source airflow outlet and the mass spectrum sample inlet, and repeatedly injecting the sample for 5 times for each sample to obtain a positive ion mode full-scanning mass spectrogram of the sample. The obtained mass spectrogram is directly introduced into Analyzer Pro XD software for analysis, a principal component analysis chart is presented by selecting a scale method Range, and a PCA chart can be obtained by selecting 95% of confidence intervals.
Fig. 3 is a PCA chart of pressing the camellia seed oil standard, leaching the camellia seed oil standard, peanut oil and sunflower seed oil according to the embodiment of the application. In the figure, a circle represents a standard substance for pressing and extracting the oil tea seed oil, a triangle represents a standard substance for extracting the oil tea seed oil, a star represents peanut oil, and a heart represents sunflower seed oil; the solid circles respectively represent 95% confidence intervals of the squeezed camellia oil seed oil standard, the leached camellia oil seed oil standard, the peanut oil and the sunflower seed oil.
It can be seen that the camellia oil seed oil can be very easily distinguished from the peanut oil and the sunflower oil, and there is still no overlap under the criteria of 95% confidence interval.
Fig. 4 is a PCA chart of a pressed camellia seed oil standard, a leached camellia seed oil standard, peanut oil and sunflower seed oil and a PCA chart of an oil sample to be tested according to an embodiment of the application. As shown in fig. 4, the oil sample to be tested (indicated by diamonds) falls within the standard circle of camellia seed oil, which indicates that the oil sample to be tested is camellia seed oil.
Therefore, the method provided by the embodiment of the application can be used for rapidly identifying the authenticity of oil products such as camellia seed oil and the like, and is sufficiently different from low-price oil. When the camellia oleosa seed oil of the squeezing and leaching processes is identified, the difference between the camellia oleosa seed oil prepared by the two processes is small, and confidence intervals are overlapped, so that the identification method has high reliability.
Although the embodiments disclosed in the present application are described above, the descriptions are only for the convenience of understanding the present application, and are not intended to limit the present application. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (10)
1. A method for rapidly identifying the authenticity of an oil product and a processing technology is characterized by comprising the following steps:
(1) detecting a squeezing A oil standard substance, a leaching A oil standard substance and an A oil sample to be detected by adopting a real-time direct analysis ion source and a mass spectrometer under the same test condition to respectively obtain a real-time direct analysis mass spectrogram of the squeezing A oil standard substance, a real-time direct analysis mass spectrogram of the leaching A oil standard substance and a real-time direct analysis mass spectrogram of the A oil sample to be detected;
(2) performing principal component analysis on the real-time direct analysis mass spectrogram of the pressed A oil standard obtained in the step (1), the real-time direct analysis mass spectrogram of the leached A oil standard and the real-time direct analysis mass spectrogram of the A oil sample to be detected to obtain principal component analysis diagrams of the pressed A oil standard, the leached A oil standard and the A oil sample to be detected;
(3) judging whether the oil A sample to be detected is doped with the B oil or not and whether the processing technology of the oil A sample is pressing or leaching according to the relative positions of the oil A standard sample to be pressed, the oil A standard sample to be leached and the oil A sample to be detected in the principal component analysis chart:
if the oil A sample to be detected falls into the confidence interval of the pressed oil A standard product, the oil B is not mixed in the oil A sample to be detected, and the processing technology of the oil A sample to be detected is pressing;
if the oil A sample to be detected falls into the confidence interval of the leached oil A standard, the oil A sample to be detected is not doped with the oil B and the processing technology of the oil A sample to be detected is leaching;
if the oil A sample to be detected falls outside the confidence interval of the pressed oil A standard product and the confidence interval of the leached oil A standard product, the oil B is doped in the oil A sample to be detected, or the oil A sample to be detected is not the oil A, or the processing technology of the oil A sample to be detected is not the pressing and leaching;
wherein, the oil B is different from the oil A.
2. The method for rapidly identifying the authenticity of an oil product and a processing technology according to claim 1, wherein the method does not comprise the step of carrying out pretreatment on a sample to be detected and is an in-situ detection method.
3. The method for rapidly identifying the authenticity of an oil product and a processing technology according to claim 1, wherein the A oil is any one selected from camellia seed oil, soybean oil, peanut oil, sunflower oil, corn oil, sesame oil and castor oil.
4. The method for rapidly identifying oil product authenticity and processing technology according to any one of claims 1 to 3, wherein the mass spectrometer is a time-of-flight mass spectrometer, a triple quadrupole mass spectrometer, an orbitrap mass spectrometer, an ion trap mass spectrometer or a Fourier transform ion cyclotron resonance mass spectrometer.
5. The method for rapidly authenticating oil products and processing techniques according to claim 4, wherein the mass spectrometer is a time-of-flight mass spectrometer.
6. The method for rapidly identifying the authenticity of oil products and the processing technology according to any one of claims 1 to 3, wherein the test conditions of the real-time direct analysis ion source comprise: the carrier gas is helium, nitrogen or argon; the moving speed of the sample injection track is 0.1mm/s to 10 mm/s; the temperature of the ion source heater is from room temperature to 500 ℃.
7. The method for rapidly identifying oil product authenticity and processing technology according to any one of claims 1 to 3, wherein the test conditions of the mass spectrometer comprise: the scanning mode is a positive ion full scanning mode; the scan range is m/z 50 to m/z 2000.
8. The method for rapidly authenticating oil products and processing techniques according to claim 7, wherein the scanning range of the mass spectrometer is m/z100 to m/z 900.
9. The method for rapidly identifying the authenticity of an oil product and a processing technology according to any one of claims 1 to 3, wherein the sample injection mode of the real-time direct analysis ion source and the mass spectrometer is as follows: A12-Dip-it sample injection module is adopted for sample injection, a glass rod is used for dipping a sample, and then the glass rod is placed between an outlet of a real-time direct analysis ion source and a sample injection port of a mass spectrometer.
10. The method for rapidly identifying the authenticity of oil products and the processing technology according to any one of claims 1 to 3, wherein the software used for the principal component analysis is Analyzer Pro XD software, and a principal component analysis chart is presented by a selection scale Range with a confidence interval of 95%.
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