Detection method for identifying peanut oil components and application thereof

Abstract

The invention discloses a method for identifying peanut oil components and application thereof. According to the method, three peanut oil specific markers, namely alfalfa ketone, mediodarin and Chiiricanine A, are screened and identified, accurate qualitative identification can be carried out on peanut oil components through liquid chromatography-tandem mass spectrometry on the basis of the three markers and characteristic ion pairs thereof, and the detection limit reaches 1% (mass ratio). The method provided by the invention has the advantages of high accuracy, good specificity and suitability for detection of various vegetable oils, and can be widely applied to the fields of food authenticity identification, quality supervision, related judicial expertise and the like.

Description

Technical Field

[0001] The present invention relates to the field of food detection, and in particular to a detection method for identifying peanut oil components, in particular to qualitative identification of peanut oil components based on specific molecular markers, and application of the molecular markers. Background Art

[0002] Peanut oil is a key edible vegetable oil in my country, highly favored by consumers for its unique flavor and nutritional value. Annual consumption exceeds 3 million tons, with a market value exceeding 60 billion yuan. However, due to its high price, cheaper vegetable oils are being sold as peanut oil. This mislabeling not only harms consumers, directly infringes on their right to know and their legal rights, but also disrupts normal market competition. Furthermore, peanuts are one of the eight major food allergens recognized by the World Health Organization. According to a meta-analysis by the Chinese Center for Disease Control and Prevention, peanut allergies account for 4% of all food allergy sufferers. It is reported that under-refined peanut oil may still contain residual allergenic proteins. For people with peanut allergies, accidentally consuming such under-refined peanut oil may still trigger an allergic reaction and pose a health risk.

[0003] The peanut oil industry is a key agricultural product processing industry in my country, encompassing multiple processes, including planting, processing, and sales, and crucially impacting the interests of numerous farmers and businesses. Some edible oil products engage in false labeling, with cheap vegetable oils being passed off as peanut oil. This not only harms consumers but also disrupts normal market competition and creates unfair competition for law-abiding, honest businesses. Establishing scientific and accurate peanut oil testing standards will help regulate market order, protect the legitimate rights and interests of honest businesses, and promote the healthy and sustainable development of the industry. Regulatory authorities urgently need an accurate, sensitive, and reliable qualitative testing method for peanut oil composition as a basis for law enforcement to meet the needs of enforcing food safety regulations.

[0004] In recent years, liquid chromatography-tandem mass spectrometry (LC-MS / MS) has been increasingly used for molecular characterization of vegetable oils due to its high sensitivity and precise molecular-level identification. However, a standardized system has yet to systematically select molecular markers that can specifically identify peanut oil components and apply them to a wide range of vegetable oil systems. Therefore, there is an urgent need to develop accurate, efficient, highly specific, and scalable peanut oil molecular markers and qualitative identification methods. Summary of the Invention

[0005] The purpose of the present invention is to provide a method for qualitatively identifying peanut oil components and its application, so as to solve the problems of low accuracy and low specificity in the peanut oil identification methods in the prior art.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] In one aspect, the present invention provides a method for qualitatively identifying peanut oil components, comprising the following steps:

[0008] (1) Sample pretreatment: Take a vegetable oil sample, add an organic solvent to extract, centrifuge, take the supernatant, and filter to obtain the test solution;

[0009] (2) Liquid chromatography tandem mass spectrometry detection: inject the test solution obtained in step (1) into a liquid chromatography tandem mass spectrometer and detect molecular markers using a multiple reaction monitoring mode;

[0010] (3) Result determination: The retention time, mass spectrometry characteristic ions and relative ion abundance ratio are used as comprehensive judgment basis. If any one of the molecular markers is detected, it is determined that the sample contains peanut oil components.

[0011] In some embodiments, the molecular markers include one or more of melilotone, meditartin, and chiricanine A.

[0012] In some embodiments, the molecular marker is a combination of Medicagotone, Meditanin, and ChiricanineA.

[0013] In some embodiments, the molecular formula of the alfalfa ketone is C 17 H 16 O5, CAS No. 70561-31-8; the molecular formula of the Medipterocarpus tinctorius is C 16 H 14 O4, CAS No. 32383-76-9; the molecular formula of Chiricanine A is C 19 H 20 O2, CAS number is 350593-30-5.

[0014] In some embodiments, the organic solvent in step (1) includes but is not limited to one or more of methanol and ethanol, preferably methanol.

[0015] In some embodiments, the concentration of the organic solvent in step (1) is 70-100%, preferably 75-90%, and more preferably 80%.

[0016] In some embodiments, step (1) specifically includes: accurately weighing the vegetable oil sample, adding methanol, vortexing, centrifuging, and taking the supernatant; repeatedly extracting the lower layer of oil with methanol, combining the supernatants, and filtering through an organic phase microporous filter membrane.

[0017] In some embodiments, the extraction in step (1) is repeated 2-3 times, preferably 3 times.

[0018] In some embodiments, step (1) specifically includes: accurately weighing the vegetable oil sample, adding 80% methanol, vortexing, centrifuging, and taking the supernatant; repeatedly extracting the lower layer of oil with 80% methanol twice, combining the supernatants, and filtering through a 0.22 μm organic phase microporous filter membrane to obtain a test solution.

[0019] In some embodiments, the liquid chromatography conditions in step (2) include: mobile phase A is an aqueous solution containing 0.025% formic acid and 2 mM ammonium acetate, and mobile phase B is a methanol solution containing 0.025% formic acid and 2 mM ammonium acetate. Elution gradient: 40% B phase from 0 to 1 minute; a linear gradient increases to 95% B from 1 to 9 minutes and maintains this gradient until 13 minutes; a rapid decrease to 40% B at 13.1 minutes, and equilibrium at 40% B at 15 minutes.

[0020] In some embodiments, the liquid chromatography conditions in step (2) include: the chromatographic column is a C18 column, 1.8 μm, 100 mm×2.1 mm; the flow rate is 0.3 mL / min; the column temperature is 40° C.; and the injection volume is 2 μL.

[0021] In some embodiments, the mass spectrometry acquisition conditions in step (2) are as follows: using a liquid chromatography tandem mass spectrometer equipped with a DuoSpray electrospray ion source to acquire data in positive ion mode and negative ion mode.

[0022] In some embodiments, the mass spectrometry parameters in step (2) are as follows: the ion source is an electrospray ion source; the ion source temperature is 550°C; the spray voltage is +5500V in positive ion mode and -4500V in negative ion mode; the nebulizing gas (GAS1) is 50psi, the auxiliary gas (GAS2) is 55psi, and the curtain gas (CUR) is 30psi.

[0023] In some embodiments, the mass spectrometry detection parameters of the molecular markers in step (2) are as follows: alfalfa ketone retention time 5.4 min, parent ion m / z 301.1, daughter ion m / z 107.0, 135.0 and 163.0; medipterostilbene retention time 5.5 min, parent ion m / z 271.1, daughter ion m / z 109.1, 137.1 and 161.1; Chiricanine A retention time 6.9 min, parent ion m / z 279.1, daughter ion m / z 109.1, 179.1 and 223.1.

[0024] In some embodiments, the result judgment criteria in step (3) are: the chromatographic peak retention time of the molecular marker in the sample is consistent with that of the standard substance, and the relative deviation is within ±2.5%; the qualitative ion pair of the molecular marker is consistent with that of the standard substance, and the relative deviation of the ion pair abundance ratio is within the allowable range.

[0025] In some embodiments, the result judgment rule in step (3) is: if any one of alfalfa ketone, meditartin and chiricanine A exists in the sample, it is determined that the sample contains peanut oil components; if any one of the above three characteristic markers does not exist in the sample, it is determined that the sample does not contain peanut oil components.

[0026] In some embodiments, the detection limit of alfalfa ketone is: a sample containing 1% (mass ratio) peanut oil;

[0027] The detection limit of the medipterostilbene is: a sample containing 2% (mass ratio) of peanut oil;

[0028] The detection limit of Chiricanine A is: a sample containing 10% (mass ratio) of peanut oil.

[0029] On the one hand, the present invention also provides the use of at least one of alfalfaone, meditartin and chiricanine A as a molecular marker for detecting peanut oil components.

[0030] In some embodiments, alfalfa ketone is used as a molecular marker for detecting peanut oil components.

[0031] In some embodiments, medipterostilbene is used as a molecular marker for detecting peanut oil components.

[0032] In some embodiments, Chiricanine A is used as a molecular marker for detecting peanut oil components.

[0033] In some embodiments, a combination of alfalfa ketone, meditartin and chiricanine A is used as a molecular marker for detecting peanut oil components.

[0034] In some embodiments, alfalfaone is selected as a molecular marker for detecting peanut oil components in a sample containing at least 1% (mass ratio) peanut oil.

[0035] In some embodiments, alfalfaone and / or meditartin are selected as molecular markers for detecting peanut oil components in a sample containing at least 2% (mass ratio) peanut oil.

[0036] In some embodiments, in a sample containing at least 10% (mass ratio) peanut oil, alfalfa ketone medipterostilbene and / or chiricanine A are used as molecular markers for detecting peanut oil components.

[0037] On the one hand, the present invention also provides the use of at least one of alfalfaone, meditartin and chiricanine A as a molecular marker in the qualitative identification of peanut oil components in edible oils.

[0038] In some embodiments, the edible oil includes but is not limited to one or more of peanut oil, rapeseed oil, soybean oil, sunflower oil, corn oil, rice oil, palm oil, cottonseed oil, camellia oil, olive oil, sesame oil, linseed oil, walnut oil or edible vegetable blended oil.

[0039] On the one hand, the present invention also provides a detection method for qualitatively identifying peanut oil components in a sample, and the method is as described in any embodiment of the present invention.

[0040] Beneficial effects of the present invention:

[0041] The present invention proposes for the first time a method for detecting peanut oil components using three molecular markers: alfalfaone, meditartin and chiricanine A. The method has the characteristics of high accuracy and high specificity.

[0042] The three molecular markers screened in this study have high specificity among common plant oils and fats, enabling accurate identification of peanut oil components. They are applicable to both single plant oils and blended oils, including peanut oil, rapeseed oil, soybean oil, corn oil, sesame oil, cottonseed oil, olive oil, walnut oil, and other oil systems.

[0043] Standardized solvent extraction and universal chromatography / mass spectrometry configuration are used to facilitate laboratory promotion and large-scale testing.

[0044] It can detect trace amounts of specific molecules in peanut oil, ensuring effective identification even of low-proportion peanut oil. Its objective and clear qualitative determinations meet diverse needs, including food safety supervision, forensic identification, and corporate self-inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 These are the secondary mass spectra of three compounds and the secondary mass spectra of the corresponding standards, among which A1 is the measured secondary mass spectrum of the sample of alfalfaone, and A2 is the secondary mass spectrum of the standard of alfalfaone; B1 is the measured secondary mass spectrum of the sample of medipterostilbene, and B2 is the secondary mass spectrum of the standard of medipterostilbene; C1 is the measured secondary mass spectrum of the sample of chiricanine A, and C2 is the secondary mass spectrum of the standard of chiricanine A;

[0046] Figure 2 The MRM chromatogram (A) and characteristic ion pair mass spectrum (B) of alfalfa ketone;

[0047] Figure 3 The MRM chromatogram (A) and characteristic ion pair mass spectrum (B) of medipterostilbene;

[0048] Figure 4The MRM chromatogram (A) and characteristic ion pair mass spectrum (B) of Chiricanine A;

[0049] Figure 5 This is the sensitivity verification result of the characteristic markers in the No. 1 peanut oil sample;

[0050] Figure 6 This is the sensitivity verification result of the characteristic markers in the No. 2 peanut oil sample;

[0051] Figure 7 This is the sensitivity verification result of the characteristic markers in the No. 3 peanut oil sample. DETAILED DESCRIPTION

[0052] The present invention will be further described by way of examples, but the present invention is not limited to the following examples.

[0053] Experimental Example 1: Screening, identification, detection and application of characteristic markers of peanut oil

[0054] 1. Test methods

[0055] 1. Non-targeted screening and identification of characteristic markers of peanut oil

[0056] Take 10 parts of peanut oil, 10 parts of soybean oil, 10 parts of corn oil, 10 parts of palm oil, 10 parts of cottonseed oil, 10 parts of sesame oil, 9 parts of rapeseed oil, 9 parts of rice oil, 9 parts of walnut oil, 8 parts of sunflower oil, 8 parts of olive oil, 7 parts of linseed oil, and 5 parts of camellia oil, and accurately weigh 1g of each oil sample. Add 3mL of methanol-water solution (80:20, volume ratio), shake vigorously and extract for 10min, and centrifuge at 6000g for 10min. Repeat the above extraction and centrifugation steps for the lower oil phase of each sample three times. Collect and combine the supernatants of the three extractions, filter through a 0.22μm organic phase microporous filter membrane, and use them for analysis.

[0057] UPLC-QTOF-MS was used for detection.

[0058] Liquid chromatography conditions: Separation was performed using a C18 reversed-phase column (1.8 μm particle size, 100 mm × 2.1 mm inner diameter). Mobile phase A consisted of 0.025% formic acid and 2 mmol / L ammonium acetate in water, and mobile phase B consisted of 0.025% formic acid and 2 mmol / L ammonium acetate in methanol. A binary gradient elution program was used: 40% B from 0–1 min; a linear gradient increased to 95% B from 1–9 min and maintained until 13 min; a rapid decrease to 40% B at 13.1 min, equilibrated at 40% B after 15 min. The flow rate was 0.3 mL / min, the column temperature was 40°C, and the injection volume was 2 μL.

[0059] Mass spectrometry acquisition conditions: A high-resolution mass spectrometer equipped with an electrospray ionization source was used to acquire data in both positive and negative ion modes. Information-dependent acquisition (IDA) combined with dynamic background subtraction (DBS) and real-time multiple mass loss filtering (MMDF) was used to acquire full-scan primary and secondary mass spectra in a single injection. Data acquisition software was AnalystTF 1.7.1. Key mass spectrometry parameters included: ion source temperature, 550°C; spray voltage, +5500 V in positive ion mode and -4500 V in negative ion mode; nebulizer gas (GAS1) at 50 psi, auxiliary gas (GAS2) at 55 psi, and curtain gas (CUR) at 30 psi; and declustering voltage (DP) at +80 V in positive ion mode and -80 V in negative ion mode. A full-scan TOF-MS acquisition range was 100–1000 m / z, with an accumulation time of 200 ms. In the MS / MS secondary mass spectrometry mode, the collision energy (CE) was +35 eV in positive ion mode and -35 eV in negative ion mode, and the collision energy extension (CES) was set to 15 eV. The MS / MS scan range was 50–1000 m / z, and the accumulation time was 50 ms.

[0060] Data processing and marker identification: The acquired UPLC-QTOF-MS raw data were preprocessed using MS-DIAL software, including denoising, baseline correction, peak extraction deconvolution, and retention time alignment. The characteristic ions were then identified using the FormulaFinder and Fragment Pane tools in PeakView 2.2 software. During the identification process, only characteristic ions with secondary mass spectrometry information and not produced by in-source fragmentation were selected for molecular formula inference. FormulaFinder was used to automatically match the molecular formula based on the primary accurate mass, secondary fragment ions, and natural isotope distribution. The deviation between the measured mass and the theoretical mass was required to be less than 5 ppm, and the deviation between the measured isotope distribution and the theoretical value was within 20%. The elemental composition was limited to: C≤60, H≤60, N≤10, O≤20. After determining the molecular formula and ion adduct type, the fragment ion analysis function of Fragment Pane was combined to infer the structure of the candidate compound based on the secondary mass spectrometry fragmentation pattern.

[0061] Candidate compounds were searched using metabolite databases such as MassBank, HMDB, METLIN, and MoNA. The fragment ion prediction function was used to match the theoretical fragments of the candidate compounds with the measured MS / MS fragments to preliminarily identify the structures of the characteristic compounds. Finally, the chemical structures of the screened characteristic markers were confirmed by consulting the literature and purchasing standard products.

[0062] 2. Optimization of liquid chromatography tandem mass spectrometry detection parameters for characteristic markers of peanut oil

[0063] Mass spectrometry detection parameters for the identified markers were optimized using a liquid chromatography triple quadrupole tandem mass spectrometer. Continuous injection experiments examined the effects of declustering voltage (DP) and collision energy (CE) on the signal intensity of the characteristic ions and determined the optimal detection parameters. The DP optimization range was set to 0–300 V (increments of approximately 1.4 V per step), and the CE optimization range was set to 0–180 eV (increments of 1 eV per step). The voltage / energy was gradually increased until the optimal response value for each marker fragment ion was obtained.

[0064] 3. Specificity verification of peanut oil characteristic markers

[0065] Based on the optimized liquid chromatography-tandem mass spectrometry method, specificity validation experiments were conducted on different edible oils. The signals of three characteristic markers were detected in pure peanut oil and non-peanut oil samples using MRM mode. These markers were confirmed to be present only in peanut oil and not in other vegetable oils, thus verifying the specificity of the method.

[0066] 2. Test results

[0067] Through the above non-targeted metabolite screening, a variety of unique metabolite signals were found in peanut oil samples. After comparing the chromatographic mass spectrometry data of different oils, three specific molecular markers were finally screened out that were only present in peanut oil and not detected in the other 12 vegetable oils. The molecular formulas of these three compounds were inferred using the accurate mass and fragment information of high-resolution mass spectrometry, and their structures were confirmed by comparison with standards. They are alfalfa ketone (C 17 H 16 O5, CAS 70561-31-8), Medipterocarpin (C 16 H 14 O4, CAS 32383-76-9) and Chiricanine A (C 19 H 20 O2, CAS 350593-30-5).

[0068] like Figure 1 As shown in the figure, the MS / MS spectra of the three compounds detected in the sample closely match those of the corresponding standards (1 represents the fragment ion peak measured in the sample, and 2 represents the fragment ion peak of the standard). The m / z values ​​and abundance ratios of the main characteristic fragment ions are consistent, fully demonstrating the reliability of the marker identification results. These molecular markers are all secondary metabolites unique to peanut oil.

[0069] By optimizing the fragment ion generation conditions of each marker on a triple quadrupole mass spectrometer, the mass spectrometry parameter combination with the highest sensitivity and signal-to-noise ratio was obtained (see Table 1 for details). In the positive ion mode, the [M+H] +The optimized fragment ion 107.0 (m / z 301.1) has an optimal DP of approximately +80 V and a CE of +45 eV; the optimal DP of the fragment ion 135.0 is approximately +100 V and a CE of +25 eV; and the optimal DP of the fragment ion 163.0 is approximately +80 V and a CE of +25 eV. + The optimized DP of the precursor ion (m / z 271.1) corresponding to fragments 109.1, 137.1, and 161.1 were all approximately +80 V, and the optimal CE were +40 eV, +22 eV, and +20 eV, respectively. In the negative ion mode, [M–H] - The optimized DPs for the parent ion (m / z 279.1) fragments 109.1, 179.1, and 223.1 were approximately -120V, -120V, and -150V, respectively, and the optimal CEs were -30eV, -43eV, and -29eV, respectively. These optimization results were consistent with the information from high-resolution mass spectrometry identification, and the abundance of each characteristic ion pair was significantly increased.

[0070] Table 13 peanut oil characteristic markers and their main reference mass spectrometry parameters

[0071]

[0072] from Figure 2-4 It can be seen from the MRM chromatogram and the corresponding characteristic ion pair mass spectrum that alfalfaone, medipterostilbene and chiricanine A all have clear chromatographic peaks, and the fragment ion signals are specific and have good intensity, proving that the optimized MRM detection method can be used for subsequent sample analysis.

[0073] The optimized liquid chromatography-tandem mass spectrometry method was used to test a variety of pure oil samples. The three characteristic markers were not detected in samples of rapeseed oil, soybean oil, sunflower oil, corn oil, rice oil, palm oil, cottonseed oil, camellia oil, olive oil, sesame oil, linseed oil, and walnut oil, with the exception of peanut oil. This result validates the high specificity of the screened markers: they are molecules unique to peanut oil and not present in other common edible vegetable oils. Therefore, the presence of any one of alfalfaone, meditartin, or chiricanine A can accurately determine whether the test sample contains peanut oil components, without generating false positive results due to other oil matrices.

[0074] Example 2: Sensitivity Verification of Peanut Oil Characteristic Markers

[0075] Three peanut oil samples and three soybean oil samples were randomly selected and mixed with peanut oil at weight ratios of 0%, 1%, 2%, 5%, 10%, 20%, 50%, and 100%. The optimized liquid chromatography-tandem mass spectrometry method was used to detect molecular marker signals in each mixed sample in MRM mode to evaluate the detection limit (sensitivity) of the peanut oil component. The lowest detectable peanut oil ratio was determined by comparing the marker responses at different ratios.

[0076] The test results of peanut oil-soybean oil mixed samples prepared in different proportions showed that this method has excellent detection sensitivity for peanut oil components (see Figure 5-7 Specifically, in three randomly selected peanut oil-soybean oil mixtures, alfalfaone could be reliably detected at 1% peanut oil content (mass ratio) (the minimum detection ratio for all three peanut oil samples was 1%); medipterostilbene could be detected at 1% in two sample groups and 2% in another, so the higher value indicates that the marker signal is clearly discernible at least at 2% peanut oil; chiricanine A showed effective signals at 5% peanut oil in two sample groups, while in another group, the concentration required to reach 10%, thus limiting its minimum detection limit to 10%.

[0077] In summary, alfalfa ketone is the most sensitive marker, indicating as little as 1% peanut oil; chiricanine A is relatively less sensitive. Furthermore, the combination of multiple indicators can confirm each other. In practical applications, the determination rule is "detection of any one of the three markers confirms the presence of peanut oil." Therefore, the overall detection limit for peanut oil in this method can reach approximately 1%. In other words, even if the edible oil contains approximately 1% peanut oil, the method of this invention can still accurately identify it.

[0078] The experimental results of this study demonstrate that the selected peanut oil markers, combined with optimized liquid chromatography-tandem mass spectrometry detection conditions, can achieve highly specific identification and sensitive detection of peanut oil components. This method is applicable to a variety of edible oil samples, both pure and blended, and has broad application prospects in food identification, quality control, and forensic identification.

Claims

1. A method for identifying peanut oil components, characterized in that: The following steps are involved: (1) Sample pretreatment: Take a vegetable oil sample, add an organic solvent to extract, centrifuge, take the supernatant, and filter to obtain the test solution; (2) Liquid chromatography tandem mass spectrometry detection: inject the test solution obtained in step (1) into a liquid chromatography tandem mass spectrometer and detect molecular markers using a multiple reaction monitoring mode; (3) Result determination: The retention time, mass spectrometry characteristic ions and relative ion abundance ratio are used as comprehensive judgment basis. If any one of the molecular markers is detected, it is determined that the sample contains peanut oil components.

2. The detection method according to claim 1, wherein the molecular marker comprises one or more of alfalfaone, meditartin and chiricanine A, preferably a combination of alfalfaone, meditartin and chiricanine A.

3. The detection method according to claim 1, wherein the organic solvent in step (1) includes but is not limited to one or more of methanol and ethanol, preferably methanol; The concentration of the organic solvent in step (1) is 70-100%, preferably 75-90%, more preferably 80%.

4. The detection method according to any one of claims 1 to 3, wherein step (1) specifically comprises: Accurately weigh the vegetable oil sample, add the organic solvent, vortex shake, centrifuge, and collect the supernatant; The lower layer of oil is repeatedly extracted with an organic solvent, and the supernatants are combined and filtered through an organic phase microporous filter membrane; the extraction is repeated 2-3 times, preferably 2 times.

5. The detection method according to claim 4, wherein step (1) specifically comprises: Accurately weigh the vegetable oil sample, add 80% methanol, vortex shake, centrifuge, and collect the supernatant; The lower oil was extracted twice with 80% methanol, and the supernatants were combined and filtered through a 0.22 μm organic phase microporous filter membrane to obtain the test solution.

6. The detection method according to claim 1, wherein the liquid chromatography conditions in step (2) meet any of the following conditions: (1) Mobile phase A was an aqueous solution containing 0.025% formic acid and 2 mM ammonium acetate, and mobile phase B was a methanol solution containing 0.025% formic acid and 2 mM ammonium acetate. Elution gradient: 40% B at 0–1 min; a linear gradient increased to 95% B from 1–9 min and maintained until 13 min; a rapid decrease to 40% B at 13.1 min, and equilibrium at 40% B at 15 min; (2) The chromatographic column was a C18 column, 1.8 μm, 100 mm × 2.1 mm; the flow rate was 0.3 mL / min; the column temperature was 40 °C; and the injection volume was 2 μL.

7. The detection method according to claim 6, wherein the mass spectrometry conditions in step (2) meet any of the following conditions: (1) Mass spectrometry acquisition conditions: A triple quadrupole tandem mass spectrometer equipped with an electrospray ionization source was used to acquire data in positive and negative ion modes; (2) Mass spectrometry parameters: ion source: electrospray ionization source; ion source temperature: 550°C; spray voltage: +5500 V in positive ion mode, -4500 V in negative ion mode; (3) The mass spectrometry detection parameters of the molecular markers are as follows: retention time of alfalfa ketone is 5.4 min, parent ion m / z is 301.1, and daughter ions m / z are 107.0, 135.0, and 163.0; retention time of medipterostilbene is 5.5 min, parent ion m / z is 271.1, and daughter ions m / z are 109.1, 137.1, and 161.1; retention time of chiricanine A is 6.9 min, parent ion m / z is 279.1, and daughter ions m / z are 109.1, 179.1, and 223.

1.

8. The detection method according to claim 1, wherein the result judgment criteria in step (3) are: the chromatographic peak retention time of the molecular marker in the sample is consistent with that of the standard substance, and the relative deviation is within ±2.5%; the qualitative ion pair of the molecular marker is consistent with that of the standard substance, and the relative deviation of the ion pair abundance ratio is within the allowable range; The result judgment rule is: if any one of alfalfa ketone, medipterostilbene and chiricanine A exists in the sample, it is determined that the sample contains peanut oil components; if any one of the above three characteristic markers does not exist in the sample, it is determined that the sample does not contain peanut oil components.

9. The detection method according to claim 1, wherein the detection limit of alfalfa ketone is: a sample containing 1% (mass ratio) of peanut oil; the detection limit of meditartin is: a sample containing 2% (mass ratio) of peanut oil; and the detection limit of chiricanine A is: a sample containing 10% (mass ratio) of peanut oil.

10. Use of at least one of alfalfaone, meditartin and chiricanine A as a molecular marker for detecting peanut oil components; Preferably, alfalfa ketone is used as a molecular marker for detecting peanut oil components; More preferably, the combination of Medicago ketone, Meditartin and Chiricanine A is used as a molecular marker for detecting peanut oil components.

11. Application of at least one of alfalfaone, meditartin, and chiricanine A as a molecular marker for the qualitative identification of peanut oil components in edible oils; Preferably, the edible oil includes but is not limited to one or more of peanut oil, rapeseed oil, soybean oil, sunflower oil, corn oil, rice oil, palm oil, cottonseed oil, camellia oil, olive oil, sesame oil, linseed oil, walnut oil or edible vegetable blended oil.

12. A detection method for qualitatively identifying peanut oil components in a sample, the detection method being as described in any one of claims 1 to 9.

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