Crucian production place tracing method based on muscle tissue fatty acid spectrum
By detecting the fatty acid profile of crucian carp muscle tissue through GC-MS and combining it with OPLS-DA and LDA models, the problem of crucian carp origin traceability was solved, high-accuracy production area differentiation was achieved, and scientific supervision of crucian carp origin traceability was supported.
Patent Information
- Application Number
- CN202511261416.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-05
- Publication Date
- 2025-10-03
- Estimated Expiration
- 2045-09-05
AI Technical Summary
In the existing technology, the crucian carp origin traceability technology fails to effectively distinguish between the Yangtze River and non-Yangtze River crucian carp, as well as crucian carp in different sections of the Yangtze River, and lacks a scientific traceability method.
Gas chromatography-tandem mass spectrometry (GC-MS) was used to detect the fatty acid profile in crucian carp muscle tissue. Combined with chemometric methods such as orthogonal partial least squares discriminant analysis (OPLS-DA) and linear discriminant analysis (LDA), an origin discriminant analysis model was constructed to trace the origin of the fish through the characteristic fatty acid content.
The accuracy rate of identifying crucian carp from the Yangtze River and non-Yangtze River regions reached 94.0%, and the accuracy rate of identifying crucian carp from different sections of the Yangtze River reached 96.7%, providing a scientific basis for traceability and supporting the supervisory work of regulatory authorities.
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Figure CN120741750A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of crucian carp origin tracing, and in particular to a crucian carp origin tracing method based on muscle tissue fatty acid profile. Background Art
[0002] Geographic traceability technology, as a key link, ensures the legality of aquatic products and the effectiveness of ecological restoration.
[0003] Crucian carp (Carassius auratus) is an important farmed fish species in my country and is widely distributed in the Yangtze River basin. At present, there has been no systematic research on the traceability technology of crucian carp. Summary of the Invention
[0004] The present invention aims to trace the origin of Yangtze River crucian carp, non-Yangtze River crucian carp, and crucian carp from different sections of the Yangtze River. A method for tracing the origin of Yangtze River crucian carp, non-Yangtze River crucian carp, and crucian carp from different sections of the Yangtze River based on muscle tissue fatty acid profile combined with stoichiometry is proposed. To solve the above technical problems, the present invention is achieved through the following technical solutions: Solution 1: The present invention proposes a method for tracing the origin of crucian carp based on muscle tissue fatty acid profile, the method comprising the following steps: Step 1, pre-treating crucian carp muscle tissue to obtain fish oil; Step 2, performing methyl esterification on the fish oil obtained in step 1; Step 3, using GC-MS method to detect the characteristic fatty acid content of crucian carp muscle tissue; Step 4: Based on the characteristic fatty acid content of crucian carp muscle tissue obtained in step 3, an OPLS-DA origin discrimination analysis model for Yangtze River and non-Yangtze River crucian carp, as well as an OPLS-DA origin discrimination analysis model for crucian carp in different sections of the Yangtze River, are constructed and origin discrimination is performed to achieve origin prediction of crucian carp in different sections of the Yangtze River.
[0005] Furthermore, a preferred embodiment is provided, wherein the OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp and the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River described in step 4 specifically include: The characteristic fatty acids in the OPLS-DA origin discriminant analysis model of Yangtze River and non-Yangtze River crucian carp include: C18:0, C16:0, C18:1n9c, C22:6n3, C18:1n9t, C18:2n6c and C17:1; The functional equation of the OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp is: Y1=0.183X C18:0 +0.077X C16:0 +0.072X C18:1n9c -0.194XC22:6n3 -0.009X C18:1n9t -0.064X C18:2n6c + 0.07X C17:1 -3.737; The centroid function of the OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp: Y 长江 = - 1.074; Y 非长江 = 2.801; The characteristic fatty acids in the OPLS-DA origin discriminant analysis model of crucian carp in different sections of the Yangtze River include: C18:2n6c, C18:1n9c, C22:6n3, C20:1, C18:1n9t, C18:0 and C20:4n6; The functional equation of the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River is: Y2=-0.021X C18:2n6c +0.196X C18:1n9c -0.314X C22:6n3 -0.118X C20:1 +0.088X C18:1n9t +0.509X C18:0 +0.191X C20:4n6 -3.982; Y3=0.140X C18:2n6c -0.178X C18:1n9c +0.102X C22:6n3 +0.193X C20:1 -0.061X C18:1n9t -0.079X C18:0 +0.191X C20:4n6 -6.111; Y4=0.109X C18:2n6c +0.271X C18:1n9c +0.183X C22:6n3 -0.116X C20:1 +0.084X C18:1n9t -0.181X C18:0 +0.407X C20:4n6 -7.622.
[0006] Furthermore, a preferred embodiment is provided, in which the method for discriminating the origin of crucian carp in step 4 based on the constructed OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp and the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River is as follows: The characteristic fatty acid content of crucian carp muscle tissue obtained in step 3 was screened, and the characteristic fatty acids corresponding to the discriminant model of each origin were selected. The screened characteristic fatty acids were brought into the function equation Y1, and the obtained function value and the group centroid function value Y1 were used to calculate the characteristic fatty acids. 长江 and Y 非长江 The function value is compared with Y 长江 If the function values are similar, it is judged as Yangtze River crucian carp, otherwise it is judged as non-Yangtze River crucian carp. After the crucian carp sample is judged as Yangtze River crucian carp, the characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3 is substituted into the function equations Y2, Y3, and Y4, and the obtained function values are compared with the group centroid function value table. The discrimination method is similar to the discrimination method between Yangtze River and non-Yangtze River crucian carp. By comparing the function values of the function equations Y2, Y3, and Y4, the prediction of crucian carp in different sections of the Yangtze River can be achieved.
[0007] Furthermore, a preferred embodiment is provided, which includes a step of using an OPLS-DA discriminant analysis model to screen the characteristic differential fatty acids of crucian carp from different origins before screening the characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3.
[0008] Furthermore, a preferred embodiment is provided, in which after using the GC-MS method to detect the characteristic fatty acid content of crucian carp muscle tissue in step 3, the step of using the area normalization method to calculate the relative content of fatty acids in crucian carp muscle tissue is also included.
[0009] Furthermore, a preferred embodiment is provided, in which the method for pretreating the crucian carp muscle tissue in step 1 is: fat extraction using a methanol-chloroform solution.
[0010] Furthermore, a preferred embodiment is provided, in which the method for methylating the fish oil obtained in step 1 in step 2 is: using a 0.4 mol / L KOH-methanol solution as the methylating solution.
[0011] Further, a preferred embodiment is provided, wherein the conditions for detecting the characteristic fatty acid content of crucian carp muscle tissue using the GC-MS method in step 3 include chromatographic conditions and mass spectrometry conditions; Chromatographic conditions were as follows: initial column temperature 70°C, hold for 2 min, increase to 200°C at 20°C / min, hold for 0 min, increase to 220°C at 1°C / min, hold for 0 min, increase to 232°C at 2°C / min, hold for 0 min, increase to 240°C at 20°C / min, hold for 5 min. The injection port temperature was 240°C, the injection volume was 1 μL, and the carrier gas was pure helium with a purity of >99.99%. The carrier gas flow rate was 1.0 mL / min, and the split ratio was 10:1. Mass spectrometry conditions: EI ion source with an electron energy of 70 eV; ion source temperature of 230 °C; scanning mass range of 30–550 m / z; acquisition mode of Scan; and solvent delay time of 3 min.
[0012] Solution 2: A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of any one of the methods described in Solution 1.
[0013] Solution 3: A computer device includes a memory and a processor, wherein the memory stores a computer program. When the processor runs the computer program stored in the memory, the processor executes any one of the methods described in Solution 1.
[0014] The present invention is beneficial in that: The present invention describes a method for tracing the origin of crucian carp based on muscle tissue fatty acid profiles. The method uses gas chromatography-tandem mass spectrometry (GC-MS) to detect the fatty acid profile of crucian carp muscle tissue. Combined with chemometric methods such as orthogonal partial least squares discriminant analysis (OPLS-DA) and statistical analysis techniques such as linear discriminant analysis (LDA), a canonical discriminant function model for discriminating crucian carp origin is constructed. This model effectively enables geographical tracing of crucian carp origins. Cross-validation showed that the origin tracing model for Yangtze River and non-Yangtze River crucian carp constructed using this method achieved a prediction accuracy of 94.0%. Furthermore, the discriminant model for discriminating crucian carp origins in different sections of the Yangtze River achieved a prediction accuracy of 96.7%. This technology can effectively distinguish between Yangtze River and non-Yangtze River crucian carp, as well as crucian carp from different sections of the Yangtze River. The geographical tracing method based on fatty acid detection provides reliable results, provides a scientific basis for regulatory authorities, and has important social value and practical significance.
[0015] The present invention discloses a method for tracing the origin of crucian carp based on the fatty acid profile of muscle tissue. The present invention realizes the tracing of the origin of crucian carp in the Yangtze River and non-Yangtze River areas and in different sections of the Yangtze River for the first time through the fatty acid profile of crucian carp muscle tissue.
[0016] This invention combines the fatty acid profile analysis of crucian carp muscle tissue with the chemometric method (OPLS-DA) and the statistical method (LDA) for the first time, providing a new technical means for tracing the origin of crucian carp.
[0017] The present invention is also applicable to the geographical traceability application field of fatty acid detection. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 This is a flow chart of a method for tracing the origin of crucian carp based on muscle tissue fatty acid profile as described in Implementation Method 1.
[0019] Figure 2 This is a schematic diagram of the OPLS-DA two-dimensional scores of Yangtze River and non-Yangtze River crucian carp described in embodiment one.
[0020] Figure 3 This is a schematic diagram of the OPLS-DA two-dimensional scores of crucian carp in different sections of the Yangtze River Basin as described in embodiment one.
[0021] Figure 4 This is a schematic diagram of the OPLS-DA three-dimensional scores of crucian carp in different sections of the Yangtze River Basin as described in embodiment one.
[0022] Figure 5 This is a schematic diagram of the VIP value distribution of Yangtze River and non-Yangtze River crucian carp as described in Implementation Method One.
[0023] Figure 6 This is a schematic diagram of the distribution of VIP values of crucian carp in different sections of the Yangtze River as described in embodiment one.
[0024] Figure 7 This is a schematic diagram of the scatter points of the canonical discriminant function for different sections of the Yangtze River as described in the first embodiment. DETAILED DESCRIPTION
[0025] In order to make the purpose, technical solutions and advantages of the implementation methods of this application clearer, the technical solutions in the implementation methods of this application will be clearly and completely described below in combination with the drawings in the implementation methods of this application. Obviously, the described implementation methods are only part of the implementation methods of this application, not all of the implementation methods.
[0026] Implementation method 1, see Figures 1 to 6 This embodiment describes a method for tracing the origin of crucian carp based on the fatty acid profile of muscle tissue. Figure 1 The detailed steps of this embodiment are described, which specifically include the following steps: 83 crucian carp muscle tissue samples were collected from cities along the Yangtze River and non-Yangtze River cities, sent to the laboratory at low temperature and stored at -80℃ for a long time until sample analysis. Among them, 12 were collected from Chongqing, 6 from Jingzhou, 3 from Xiantao, 3 from Wuhan, 3 from Yueyang, 6 from Anqing, 6 from Tongling, 3 from Wuhu, 8 from Jinzhai, 6 from Nanjing, 3 from Taizhou, 6 from Taicang, 9 from Huai'an, 3 from Yancheng, 3 from Shanghai, and 3 from Zhoushan. Muscle tissue fat was extracted using the method mentioned in step 1.
[0027] After the fat is methylated, the fatty acid content of crucian carp muscle tissue is detected using the method in step 3, and the relative fatty acid content of crucian carp muscle tissue is calculated by the area normalization method.
[0028] The 18 fatty acids detected in crucian carp muscle tissue were brought into SIMCA 14.1 software for orthogonal partial least squares discriminant analysis (OPLS-DA) to screen the characteristic fatty acids of crucian carp from different origins. The screened characteristic fatty acids were brought into SPSS software, and the origin discriminant function and group centroid function of OPLS-DA for Yangtze River and non-Yangtze River crucian carp and crucian carp from different sections of the Yangtze River were constructed using the canonical discriminant function in linear discriminant analysis: The characteristic fatty acids in the OPLS-DA origin discrimination model of Yangtze River and non-Yangtze River crucian carp include: C18:0, C16:0, C18:1n9c, C22:6n3, C18:1n9t, C18:2n6c and C17:1.
[0029] The discriminant function equation of the OPLS-DA origin discrimination model for Yangtze River and non-Yangtze River crucian carp is: Y1=0.183X C18:0 +0.077X C16:0 +0.072X C18:1n9c -0.194X C22:6n3 -0.009X C18:1n9t -0.064X C18:2n6c + 0.07X C17:1 -3.737; The centroid function of the OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp: Y 长江 = - 1.074; Y 非长江 = 2.801; The characteristic fatty acids in the OPLS-DA origin discriminant analysis model of crucian carp in different sections of the Yangtze River include: C18:2n6c, C18:1n9c, C22:6n3, C20:1, C18:1n9t, C18:0 and C20:4n6; The functional equation of the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River is: Y2=-0.021X C18:2n6c +0.196X C18:1n9c -0.314X C22:6n3 -0.118X C20:1 +0.088X C18:1n9t +0.509X C18:0 +0.191X C20:4n6 -3.982; Y3=0.140X C18:2n6c -0.178X C18:1n9c +0.102X C22:6n3 +0.193X C20:1 -0.061X C18:1n9t -0.079XC18:0 +0.191X C20:4n6 -6.111; Y4=0.109X C18:2n6c +0.271X C18:1n9c +0.183X C22:6n3 -0.116X C20:1 +0.084X C18:1n9t -0.181X C18:0 +0.407X C20:4n6 -7.622.
[0030] Table 2 Centroid function table of the discriminant function group for crucian carp origin in different sections of the Yangtze River
[0031] The characteristic fatty acid content obtained from the sample test was substituted into the discriminant function of the Yangtze River and non-Yangtze River crucian carp origin, and compared with the group centroid function value of the origin discriminant model, so as to achieve the classification prediction of Yangtze River crucian carp and non-Yangtze River crucian carp; for the samples identified as Yangtze River crucian carp, they were further substituted into the discriminant function of the origin discriminant model of crucian carp in different sections of the Yangtze River, and compared with the group centroid function value of crucian carp in different sections of the Yangtze River basin. Figure 2 As shown, Figure 2 Schematic diagram of OPLS-DA two-dimensional scores of Yangtze River and non-Yangtze River crucian carp. Figure 2 In the figure, the X-axis represents the first predicted principal component, which is the main factor that can best distinguish the groups, and the Y-axis represents the second predicted principal component, which is the secondary factor that can further distinguish the groups.
[0032] Figure 2 The closer the function value obtained is to the group centroid function value, the greater the possibility that it is judged to be crucian carp from that origin, and ultimately the prediction of crucian carp in different sections of the Yangtze River can be achieved.
[0033] The origin traceability model was validated on crucian carp from different origins using stepwise discrimination and leave-one-out cross-validation. The results of the Yangtze River and non-Yangtze River crucian carp and crucian carp from different sections of the Yangtze River are shown in Tables 3 and 4. Among the 83 samples of Yangtze River and non-Yangtze River crucian carp, a total of 80 samples were correctly classified, with a total discrimination accuracy of 94.4% for stepwise discrimination and 100% for Yangtze River crucian carp. Three non-Yangtze River crucian carp were misclassified as Yangtze River crucian carp, with a discrimination accuracy of 86.9% for non-Yangtze River crucian carp. The total discrimination accuracy of the leave-one-out cross-validation result was 94.0%, one Yangtze River crucian carp sample was misclassified as non-Yangtze River crucian carp, and four non-Yangtze River crucian carp were misclassified as Yangtze River crucian carp. The classification of most Yangtze River and non-Yangtze River crucian carp samples can be achieved. Based on this, see Figure 3 、 Figure 4 As shown, Figure 3 and Figure 4Schematic diagram of OPLS-DA two-dimensional and three-dimensional scores of crucian carp in different sections of the Yangtze River Basin, among which, Figure 2 In the figure, the X-axis represents the first predicted principal component, which indicates the main factor that can best distinguish the groups; the Y-axis represents the second predicted principal component, which indicates the secondary factor that can further distinguish the groups; the Z-axis represents the first orthogonal principal component, which can capture the largest noise irrelevant to the groups; the first predicted principal component, the second predicted principal component and the first orthogonal principal component are generated in the process of data dimensionality reduction using the OPLS-DA origin discriminant analysis model for crucian carp in the Yangtze River and non-Yangtze River regions and the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River, respectively.
[0034] The further constructed model for discriminating the origin of crucian carp in different sections of the Yangtze River achieved a total discrimination accuracy of 100% in the step-by-step discrimination results, and was able to correctly predict all crucian carp samples in the Anqing-Tongling section, Nanjing-Shanghai section, Jingzhou-Wuhan section, and Chongqing section. The leave-one-out cross-validation results showed a total discrimination accuracy of 96.7%, with all 15 crucian carp samples in the Anqing-Tongling section, 15 samples in the Jingzhou-Wuhan section, and 12 samples in the Chongqing section correctly classified. However, two of the 18 samples in the Nanjing-Shanghai section were misclassified as belonging to the Jingzhou-Wuhan section and the Anqing-Tongling section. Figure 7 As shown, Figure 7 The figure is a schematic diagram of the scatter plot of the canonical discriminant function in different sections of the Yangtze River. Combined with the scatter plot constructed with the Y2 and Y3 canonical discriminant functions, the distribution characteristics of the samples in each section of the river can be more intuitively observed. There is a certain overlap in the samples of the Nanjing-Shanghai section, the Jingzhou-Wuhan section, and the Anqing-Tongling section.
[0035] Table 3 Verification results of the discriminant function for the origin of Yangtze River and non-Yangtze River crucian carp
[0036] Table 4 Verification results of the discriminant function for crucian carp origin in different sections of the Yangtze River
[0037] Implementation method 2: To verify the effectiveness of this method, one sample each of Anqing, Nanjing, Jingzhou, Chongqing River and Zhoushan crucian carp was selected, of which the Anqing crucian carp sample belonged to the Anqing-Tongling River section, the Jingzhou crucian carp belonged to the Jingzhou-Wuhan River section, the Nanjing crucian carp belonged to the Nanjing-Shanghai River section, the Chongqing crucian carp belonged to the Chongqing River section, and the Zhoushan crucian carp belonged to non-Yangtze River crucian carp. The remaining samples belonged to the Yangtze River crucian carp. The fatty acids in the crucian carp muscle tissue were determined according to the method in steps 1-4. The results of the determination are shown in Table 5: Table 5 Relative fatty acid content in muscle tissue of crucian carp from different origins
[0038] See also Figure 5 As shown in the figure, according to the different origin discrimination models, the characteristic fatty acids of crucian carp from different origins are selected, among which, Figure 5 、 Figure 6 The VIP value (Variable Importance in Projection) is the most important indicator for selecting key variables in the OPLS-DA model. The VIP value is a weighted composite indicator derived from the weights and explained variance of the OPLS-DA discriminant analysis model for the origin of crucian carp in Yangtze and non-Yangtze River regions, as well as the OPLS-DA discriminant analysis model for crucian carp in different sections of the Yangtze River. It quantifies the importance of each variable in distinguishing between groups in the model and is an important tool for selecting key variables.
[0039] The VIP value reflects the contribution of a variable to the overall fit and classification ability of the model. The higher the VIP value of a variable, the more important it is in building the model. Generally, variables with a VIP value greater than 1 are considered particularly important to the model.
[0040] The VIP value calculation formula is as follows: For the kth variable (such as a metabolite), the VIP value is calculated as follows:
[0041] VIP k is the VIP value of the kth variable, K is the total number of variables in the X data matrix (i.e., the number of columns), A is the total number of principal components in the OPLS-DA model, a is the number of principal components, and w ak is the weight, which represents the value of the k-th variable in the weight vector w of the a-th principal component. The weight directly reflects the contribution of the variable to the construction of this principal component; SSY a The sum of squares of the response variable Y explained by the a-th principal component measures the contribution of the a-th principal component to distinguishing class Y.
[0042] The characteristic fatty acids corresponding to the discriminant model of Yangtze River and non-Yangtze River crucian carp origin are as follows: Table 6 Characteristic fatty acids of Yangtze River and non-Yangtze River crucian carp
[0043] See also Figure 6 The characteristic fatty acids of the origin discrimination model corresponding to crucian carp in different sections of the Yangtze River are shown in Table 7: Table 7 Characteristic fatty acids of crucian carp in different sections of the Yangtze River
[0044] The results for distinguishing Yangtze and non-Yangtze River crucian carp, as well as crucian carp from different Yangtze River sections, are shown in the table. The distinction was made by comparing the function value with the group centroid function value; a smaller difference indicates a higher accuracy rate. As shown in Tables 8 and 9, the method of the present invention achieved 100% prediction accuracy for crucian carp in the Anqing-Tongling, Nanjing-Shanghai, Jingzhou-Wuhan, and Chongqing sections of the Yangtze River, as well as for crucian carp from non-Yangtze River sections. This method can effectively trace the geographical origins of crucian carp from different origins.
[0045] Table 8 Function values of the canonical discriminant function for Yangtze River and non-Yangtze River crucian carp
[0046] Table 9 Function values of the canonical discriminant function for crucian carp in different sections of the Yangtze River
[0047] Those skilled in the art will understand that the above description is only a preferred embodiment of the present invention, and the features described in the various embodiments and / or claims of the present disclosure may be combined or coupled in various ways, even if such a combination or coupling is not explicitly described in the present disclosure. It is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.
[0048] Although preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they are aware of the basic inventive concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention. Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, the present invention is intended to include such changes and modifications as fall within the scope of the claims and their equivalents.
Claims
1. A method for tracing the origin of crucian carp based on muscle tissue fatty acid profile, characterized in that: The method comprises the following steps: Step 1, pre-treating crucian carp muscle tissue to obtain fish oil; Step 2, performing methyl esterification on the fish oil obtained in step 1; Step 3, using GC-MS method to detect the characteristic fatty acid content of crucian carp muscle tissue; Step 4: Based on the characteristic fatty acid content of crucian carp muscle tissue obtained in step 3, an OPLS-DA origin discrimination analysis model for Yangtze River and non-Yangtze River crucian carp, as well as an OPLS-DA origin discrimination analysis model for crucian carp in different sections of the Yangtze River, are constructed and origin discrimination is performed to achieve origin prediction of crucian carp in different sections of the Yangtze River.
2. The crucian carp origin tracing method based on muscle tissue fatty acid profile according to claim 1, characterized in that: The OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp and the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River described in step 4 specifically include: The characteristic fatty acids in the OPLS-DA origin discriminant analysis model of Yangtze River and non-Yangtze River crucian carp include: C18:0, C16:0, C18:1n9c, C22:6n3, C18:1n9t, C18:2n6c and C17:1; The functional equation of the OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp is: Y1 = 0.183X C18:0 + 0.077X C16:0 + 0.072X C18:1n9c - 0.194X C22:6n3 - 0.009X C18:1n9t -0.064 X C18:2n6c + 0.07X C17:1 -3.737; The centroid function of the OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River crucian carp: AND 长江 = - 1.074;And 非长江 = 2.801; The characteristic fatty acids in the OPLS-DA origin discriminant analysis model of crucian carp in different sections of the Yangtze River include: C18:2n6c, C18:1n9c, C22:6n3, C20:1, C18:1n9t, C18:0 and C20:4n6; The functional equation of the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River is: Y2=-0.021X C18:2n6c +0.196X C18:1n9c -0.314X C22:6n3 -0.118X C20:1 +0.088X C18:1n9t +0.509X C18:0 +0.191X C20:4n6 -3.982; Y3=0.140X C18:2n6c -0.178X C18:1n9c +0.102X C22:6n3 +0.193X C20:1 -0.061X C18:1n9t -0.079X C18: +0.191 X C20:4n6 -6.111; Y4=0.109X C18:2n6c +0.271X C18:1n9c +0.183X C22:6n3 -0.116X C20:1 +0.084X C18:1n9t -0.181X C18:0 +0.407X C20:4n6 -7.622。 3. The crucian carp origin tracing method based on muscle tissue fatty acid profile according to claim 2, characterized in that: In step 4, the method for discriminating the origin of crucian carp based on the constructed OPLS-DA origin discriminant analysis model for Yangtze River and non-Yangtze River and the OPLS-DA origin discriminant analysis model for crucian carp in different sections of the Yangtze River is as follows: The characteristic fatty acid content of crucian carp muscle tissue obtained in step 3 was screened, and the characteristic fatty acids corresponding to the discriminant model of each origin were selected. The screened characteristic fatty acids were brought into the function equation Y1, and the obtained function value and the group centroid function value Y1 were used to calculate the characteristic fatty acids. 长江 and Y 非长江 The function value is compared with Y 长江 If the function values are similar, it is judged as Yangtze River crucian carp, otherwise it is judged as non-Yangtze River crucian carp. After the crucian carp sample is judged as Yangtze River crucian carp, the characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3 is substituted into the function equations Y2, Y3, and Y4, and the obtained function values are compared with the group centroid function value table. The discrimination method is similar to the discrimination method between Yangtze River and non-Yangtze River crucian carp. By comparing the function values of the function equations Y2, Y3, and Y4, the prediction of crucian carp in different sections of the Yangtze River can be achieved.
4. The crucian carp origin tracing method based on muscle tissue fatty acid profile according to claim 3, characterized in that: Before screening the characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3, the method also includes the step of using the OPLS-DA discriminant analysis model to screen the characteristic differential fatty acids of crucian carp from different origins.
5. The crucian carp origin tracing method based on muscle tissue fatty acid profile according to claim 1, characterized in that: After using the GC-MS method to detect the characteristic fatty acid content of crucian carp muscle tissue in step 3, the method also includes using the area normalization method to calculate the relative content of fatty acids in the crucian carp muscle tissue.
6. The crucian carp origin tracing method based on muscle tissue fatty acid profile according to claim 1, characterized in that: The method for pre-treating crucian carp muscle tissue in step 1 is: fat extraction using a methanol-chloroform solution.
7. The crucian carp origin tracing method based on muscle tissue fatty acid profile according to claim 1, characterized in that: In step 2, the method for methyl esterification of the fish oil obtained in step 1 is: using a 0.4 mol / L KOH-methanol solution as the methyl esterification solution.
8. The method for tracing the origin of crucian carp based on muscle tissue fatty acid profile according to claim 1, characterized in that: The conditions for detecting the characteristic fatty acid content of crucian carp muscle tissue using the GC-MS method in step 3 include chromatography conditions and mass spectrometry conditions; The chromatographic conditions were as follows: temperature program: initial column temperature 70 °C, hold for 2 min, increase the temperature to 200 °C at 20 °C / min, hold for 0 min, increase the temperature to 220 °C at 1 °C / min, hold for 0 min, increase the temperature to 232 °C at 2 °C / min, hold for 0 min, increase the temperature to 240 °C at 20 °C / min, hold for 5 min, injection port temperature 240 °C, injection volume 1 μL, carrier gas was pure helium with a purity of >99.99%, carrier gas flow rate was 1.0 mL / min, and the split ratio was 10:1; Mass spectrometry conditions: EI ion source with an electron energy of 70 eV; ion source temperature of 230 °C; scanning mass range of 30–550 m / z; acquisition mode of Scan; and solvent delay time of 3 min.
9. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.
10. A computer device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method according to any one of claims 1 to 8.
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