Carassius auratus origin tracing method based on muscle tissue fatty acid spectrum

Abstract

A method for tracing the origin of crucian carp based on muscle tissue fatty acid spectrum relates to the field of crucian carp origin tracing. The method solves the problem of the ecological destruction of the Yangtze River Basin, the continuous reduction of aquatic product resources and the sharp decline of the number of crucian carp due to the influence of water conservancy construction, overfishing and other factors. The method comprises the following steps: step 1, pretreating crucian carp muscle tissue to obtain fish oil; step 2, performing methyl esterification treatment on the fish oil obtained in step 1; step 3, detecting the characteristic fatty acid content of the crucian carp muscle tissue by using a GC-MS method; step 4, constructing a Yangtze River and non-Yangtze River crucian carp origin discrimination analysis model and a Yangtze River different reach crucian carp origin discrimination analysis model and performing origin discrimination to realize the origin prediction of the Yangtze River different reach crucian carp. The method is also suitable for the field of geographical tracing application of fatty acid detection.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Carassius auratus origin traceability, and particularly relates to a Carassius auratus origin traceability method based on muscle tissue fatty acid spectrum. BACKGROUND

[0002] As a key link, the geographical traceability technology ensures the legality of aquatic products and the effectiveness of ecological restoration.

[0003] Carassius auratus is an important farmed fish species in China, and is widely distributed in the Yangtze River Basin. At present, the Carassius auratus origin traceability technology has not been systematically studied. SUMMARY

[0004] The present application proposes a Carassius auratus origin traceability method based on muscle tissue fatty acid spectrum combined with chemometrics to realize the origin traceability of Carassius auratus in the Yangtze River and non-Yangtze River and Carassius auratus in different reaches of the Yangtze River. To solve the above technical problems, the present application is realized by the following technical scheme:

[0005] Scheme one, the present application proposes a Carassius auratus origin traceability method based on muscle tissue fatty acid spectrum, which comprises the following steps:

[0006] Step 1, pretreating Carassius auratus muscle tissue to obtain fish oil;

[0007] Step 2, performing methyl esterification treatment on the fish oil obtained in step 1;

[0008] Step 3, detecting the characteristic fatty acid content of Carassius auratus muscle tissue by using GC-MS method;

[0009] Step 4, constructing a Yangtze River and non-Yangtze River Carassius auratus OPLS-DA origin discriminant analysis model and a Yangtze River different reach Carassius auratus OPLS-DA origin discriminant analysis model based on the characteristic fatty acid content of Carassius auratus muscle tissue obtained in step 3 and performing origin discrimination to realize the origin prediction of Carassius auratus in different reaches of the Yangtze River.

[0010] Further, a preferred embodiment is provided, and the Yangtze River and non-Yangtze River Carassius auratus OPLS-DA origin discriminant analysis model and the Yangtze River different reach Carassius auratus OPLS-DA origin discriminant analysis model in step 4 specifically comprise:

[0011] The characteristic fatty acids in the Yangtze River and non-Yangtze River Carassius auratus OPLS-DA origin discriminant analysis model include C18:0, C16:0, C18:1n9c, C22:6n3, C18:1n9t, C18:2n6c and C17:1;

[0012] The function equation of the OPLS-DA model for discriminating the production areas of the Yangtze and non-Yangtze crucian carps is:

[0013] 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;

[0014] The group centroid function of the OPLS-DA model for discriminating the production areas of the Yangtze and non-Yangtze crucian carps is:

[0015] Y 长江 = - 1.074;Y 非长江 = 2.801;

[0016] The characteristic fatty acids in the OPLS-DA model for discriminating the production areas of the crucian carps in different reaches of the Yangtze River include C18:2n6c, C18:1n9c, C22:6n3, C20:1, C18:1n9t, C18:0 and C20:4n6;

[0017] The function equation of the OPLS-DA model for discriminating the production areas of the crucian carps in different reaches of the Yangtze River is:

[0018] 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;

[0019] 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;

[0020] 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.

[0021] Further, a preferred embodiment is provided, and the method for discriminating the origin of the crucian carp in step 4 is based on the constructed OPLS-DA origin discrimination analysis model of the crucian carp in the Yangtze River and the OPLS-DA origin discrimination analysis model of the crucian carp in different reaches of the Yangtze River.

[0022] The characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3 is screened, and the characteristic fatty acid corresponding to each origin discrimination model is selected. The screened characteristic fatty acid is brought into the function equation Y1, and the obtained function value is compared with the group centroid function value Y 长江 and Y 非长江 The function value is compared with the function value Y 长江 If the obtained function value is similar to the function value Y 长江 , the crucian carp sample is discriminated as the crucian carp in the Yangtze River. Otherwise, the crucian carp sample is discriminated as the crucian carp not in the Yangtze River. When the crucian carp sample is discriminated as the crucian carp in the Yangtze River, the characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3 is brought into the function equations Y2, Y3 and Y4, and the obtained function value is compared with the group centroid function value table. The discrimination method is similar to the discrimination method of the crucian carp in the Yangtze River and the crucian carp not in the Yangtze River. The function value of the function equations Y2, Y3 and Y4 can be used to realize the prediction of the crucian carp in different reaches of the Yangtze River.

[0023] Further, a preferred embodiment is provided, and the step of screening the characteristic fatty acid of the crucian carp in different origins before screening the characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3 is further included.

[0024] Further, a preferred embodiment is provided, and the step of calculating the relative content of the fatty acid of the crucian carp muscle tissue by using the area normalization method after detecting the characteristic fatty acid content of the crucian carp muscle tissue by using the GC-MS method in step 3 is further included.

[0025] Further, a preferred embodiment is provided, and the method for pretreating the crucian carp muscle tissue in step 1 is that the fat is extracted by using the methanol-chloroform solution.

[0026] Further, a preferred embodiment is provided, and the method for methyl esterification treatment of the fish oil obtained in step 1 in step 2 is that the methyl esterification solution is 0.4 mol / L KOH-methanol solution.

[0027] Further, a preferred embodiment is provided, and the conditions for detecting the characteristic fatty acid content of the crucian carp muscle tissue by using the GC-MS method in step 3 include the chromatographic conditions and the mass spectrometric conditions.

[0028] Chromatographic conditions: temperature program: initial column temperature 70 DEG C, retention 2 min, 20 DEG C / min to 200 DEG C, retention 0 min, 1 DEG C / min to 220 DEG C, retention 0 min, 2 DEG C / min to 232 DEG C, retention 0 min, 20 DEG C / min to 240 DEG C, retention 5 min; injection port temperature 240 DEG C, injection volume 1 mu L, carrier gas is pure helium, purity > 99.99 %, carrier gas flow rate is 1.0 mL / min, split ratio is 10:1;

[0029] Mass spectrometry conditions: mass spectrometry ionization mode is EI ion source, electron energy is 70 eV; ion source temperature is 230 DEG C; scanning mass range is 30-550 m / z; acquisition mode is Scan; solvent delay time is 3 min.

[0030] Scheme two, a computer readable storage medium, the computer readable storage medium stores a computer program, the computer program is executed by the processor to realize the steps of the method in any one of the scheme one.

[0031] Scheme three, a computer device, comprising a memory and a processor, the memory has stored a computer program, when the processor runs the computer program stored in the memory, the processor executes the method in any one of the scheme one.

[0032] The beneficial aspects of the present application are:

[0033] The carassius auratus origin tracing method based on muscle tissue fatty acid spectrum provided by the present application detects the fatty acid spectrum in the muscle tissue of carassius auratus by gas chromatography tandem mass spectrometry (GC-MS), and combines with chemometrics methods such as orthogonal partial least squares discriminant analysis (OPLS-DA) and statistical analysis methods such as linear discriminant analysis (LDA) to construct a canonical discriminant function model for carassius auratus origin discrimination. Through the model, the present application can effectively realize the geographical tracing of carassius auratus origin. Through cross-validation, the prediction accuracy of the carassius auratus origin tracing model constructed by the present application for the carassius auratus in the Yangtze River and the carassius auratus not in the Yangtze River can reach 94.0%, and the prediction accuracy of the carassius auratus origin discrimination model constructed for the carassius auratus in different sections of the Yangtze River can reach 96.7%. The technology can effectively distinguish the carassius auratus in the Yangtze River and the carassius auratus not in the Yangtze River, and the carassius auratus in different sections of the Yangtze River. The geographical tracing method based on fatty acid detection is reliable, can provide scientific basis for the supervision department, and has important social value and practical significance.

[0034] The carassius auratus origin tracing method based on muscle tissue fatty acid spectrum provided by the present application realizes the geographical tracing of carassius auratus in the Yangtze River and carassius auratus not in the Yangtze River and carassius auratus in different sections of the Yangtze River for the first time through the fatty acid spectrum of carassius auratus muscle tissue.

[0035] The present application firstly combines crucian carp muscle tissue fatty acid spectrum analysis with chemometrics method (OPLS-DA) and statistical method (LDA), and provides a new technical means for crucian carp origin traceability.

[0036] The present application is also suitable for geographical traceability application field of fatty acid detection. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 A flowchart of a crucian carp origin traceability method based on muscle tissue fatty acid spectrum according to the first embodiment.

[0038] Figure 2 An OPLS-DA two-dimensional score diagram of Yangtze River and non-Yangtze River crucian carp according to the first embodiment.

[0039] Figure 3 An OPLS-DA two-dimensional score diagram of crucian carp in different river sections of Yangtze River according to the first embodiment.

[0040] Figure 4 An OPLS-DA three-dimensional score diagram of crucian carp in different river sections of Yangtze River according to the first embodiment.

[0041] Figure 5 A VIP value distribution diagram of Yangtze River and non-Yangtze River crucian carp according to the first embodiment.

[0042] Figure 6 A VIP value distribution diagram of crucian carp in different river sections of Yangtze River according to the first embodiment.

[0043] Figure 7 A canonical discriminant function scatter diagram of crucian carp in different river sections of Yangtze River according to the first embodiment. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme of the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments of the present application.

[0045] The first embodiment is described as follows. Figures 1 to 6 The first embodiment is described as follows. Figure 1 The detailed steps of the first embodiment are described as follows, and specifically include the following steps.

[0046] 83 muscle tissue samples of crucian carp were collected from cities along the Yangtze River and non-Yangtze River cities, and were sent to the laboratory at low temperature and stored at -80°C for a long time until sample analysis. Among them, 12 were 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. The muscle tissue fat was extracted by the method mentioned in step 1.

[0047] After methyl esterification, the muscle tissue fatty acid content of crucian carp was detected by the method in step 3, and the relative content of fatty acids in crucian carp muscle tissue was calculated by area normalization method.

[0048] The 18 kinds of fatty acids detected in the muscle tissue of crucian carp were brought into SIMCA 14.1 software for orthogonal partial least squares discriminant analysis (OPLS-DA), and the characteristic fatty acids of crucian carp from different origins were screened. The characteristic fatty acids screened were brought into SPSS software, and the canonical discriminant function in linear discriminant analysis was used to construct the origin discriminant function and group centroid function of OPLS-DA of crucian carp from the Yangtze River and non-Yangtze River, as well as crucian carp from different sections of the Yangtze River:

[0049] The characteristic fatty acids in the OPLS-DA origin discriminant model of crucian carp from the Yangtze River and non-Yangtze River include C18:0, C16:0, C18:1n9c, C22:6n3, C18:1n9t, C18:2n6c and C17:1.

[0050] The discriminant function equation of the OPLS-DA origin discriminant model of crucian carp from the Yangtze River and non-Yangtze River is:

[0051] 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;

[0052] The group centroid function of the OPLS-DA origin discriminant analysis model of crucian carp from the Yangtze River and non-Yangtze River is:

[0053] Y 长江 = - 1.074;Y 非长江 = 2.801;

[0054] The characteristic fatty acids in the OPLS-DA origin discriminant analysis model of crucian carp from different sections of the Yangtze River include C18:2n6c, C18:1n9c, C22:6n3, C20:1, C18:1n9t, C18:0 and C20:4n6.

[0055] The function equation of the OPLS-DA origin discrimination analysis model of crucian carp in different reaches of the Yangtze River is:

[0056] 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;

[0057] 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;

[0058] 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。

[0059] Table 2: Centroid function table of crucian carp origin discrimination function group in different reaches of the Yangtze River

[0060]

[0061] The characteristic fatty acid content detected in the sample is substituted into the origin discrimination function of crucian carp in the Yangtze River and non-Yangtze River, and compared with the centroid function value of the origin discrimination model, so as to realize the classification and prediction of crucian carp in the Yangtze River and non-Yangtze River; for the sample determined as crucian carp in the Yangtze River, it is further substituted into the discrimination function of the origin discrimination model of crucian carp in different reaches of the Yangtze River, and compared with the centroid function value of crucian carp in different reaches of the Yangtze River. Referring to Figure 2 , Figure 2 , it is a two-dimensional score diagram of OPLS-DA of crucian carp in the Yangtze River and non-Yangtze River, Figure 2 , in which the X axis represents the first prediction principal component, which represents the main factor that can best distinguish the group, and the Y axis represents the second prediction principal component, which represents the secondary factor that can further distinguish the group.

[0062] Figure 2The higher the proximity between the function value and the group centroid function value, the greater the possibility of being judged as the fish from the origin, and finally achieving the prediction of the fish from different sections of the Yangtze River.

[0063] The stepwise discrimination and leave-one-out cross-validation are used to verify the origin traceability model of the fish from different origins. The results of the fish from the Yangtze River and non-Yangtze River and the fish from different sections of the Yangtze River are shown in Tables 3 and 4. Among the 83 samples of the fish from the Yangtze River and non-Yangtze River, 80 samples are correctly classified, the total discrimination accuracy of stepwise discrimination is 94.4%, the discrimination accuracy of the fish from the Yangtze River is 100%, 3 fish from non-Yangtze River are misclassified as fish from the Yangtze River, and the discrimination accuracy of the fish from non-Yangtze River is 86.9%. The total discrimination accuracy of leave-one-out cross-validation is 94.0%, one fish from the Yangtze River is misclassified as fish from non-Yangtze River, and 4 fish from non-Yangtze River are misclassified as fish from the Yangtze River, which can achieve the classification of most fish from the Yangtze River and non-Yangtze River. Based on this, it can be seen from Figure 3 、 Figure 4 that Figure 3 and Figure 4 the OPLS-DA two-dimensional and three-dimensional score diagrams of the fish from different sections of the Yangtze River, wherein Figure 2 , the X-axis represents the first predictive principal component, which represents the main factor that can best distinguish the groups, the Y-axis represents the second predictive principal component, which represents the secondary factor that can further distinguish the groups, and the Z-axis represents the first orthogonal principal component, which can capture the maximum noise unrelated to the groups. The first predictive principal component, the second predictive principal component, and the first orthogonal principal component are generated during the data dimension reduction process using the OPLS-DA origin discrimination analysis model of the fish from the Yangtze River and non-Yangtze River and the OPLS-DA origin discrimination analysis model of the fish from different sections of the Yangtze River.

[0064] The total discrimination accuracy in the stepwise discrimination result of the further constructed origin discrimination model of the fish from different sections of the Yangtze River reaches 100%, which can achieve the correct prediction of all samples of the fish from the Anqing-Tongling section, the Nanjing-Shanghai section, the Jingzhou-Wuhan section, and the Chongqing section of the Yangtze River. The total discrimination accuracy in the leave-one-out cross-validation result is 96.7%, and the 15 fish samples from the Anqing-Tongling section, the 15 samples from the Jingzhou-Wuhan section, and the 12 samples from the Chongqing section can all be correctly classified, while two samples from the Nanjing-Shanghai section are misclassified to the Jingzhou-Wuhan section and the Anqing-Tongling section. Referring to Figure 7 , wherein Figure 7 is the scatter plot of the canonical discriminant function of the fish from different sections of the Yangtze River, and the scatter plot constructed based on Y2 and Y3 canonical discriminant functions can more intuitively observe the distribution characteristics of the samples from each section, wherein there is a certain overlap between the samples from the Nanjing-Shanghai section and the Jingzhou-Wuhan section and the Anqing-Tongling section.

[0065] Table 3. Verification results of discriminant function of Carassius auratus from Yangtze River and non-Yangtze River

[0066]

[0067] Table 4. Verification results of discriminant function of Carassius auratus from different sections of Yangtze River

[0068]

[0069] Embodiment II, to verify the effectiveness of the method, select Anqing, Nanjing, Jingzhou, Chongqing River and Zhoushan Carassius auratus sample each one, wherein Anqing Carassius auratus sample belongs to Anqing-Tongling River section, Jingzhou Carassius auratus belongs to Jingzhou-Wuhan River section, Nanjing Carassius auratus belongs to Nanjing-Shanghai River section, Chongqing Carassius auratus belongs to Chongqing River section, Zhoushan Carassius auratus belongs to non-Yangtze River Carassius auratus, the rest of the sample belongs to Yangtze River Carassius auratus, according to the method in steps 1-4, the fatty acid in muscle tissue of Carassius auratus is determined, and the results obtained are shown in Table 5:

[0070] Table 5. Relative content of fatty acids in muscle tissue of Carassius auratus from different origins

[0071]

[0072] Reference Figure 5 As shown, according to different origin discriminant models, the characteristic fatty acids of Carassius auratus from different origins are selected, wherein, Figure 5 , Figure 6 The VIP value (Variable Importance in Projection) in the OPLS-DA model is the most important index for screening key variables. The VIP value is a weighted comprehensive index derived from the weight and explained variance of the OPLS-DA origin discriminant analysis model of Carassius auratus from Yangtze River and non-Yangtze River and the OPLS-DA origin discriminant analysis model of Carassius auratus from different sections of Yangtze River, which is used to quantify the importance of each variable to the model classification and is an important tool for screening key variables.

[0073] The VIP value reflects the contribution of the variable to the overall fitting degree and classification ability of the model. The higher the VIP value of the variable, the more important it is in the model construction. Generally, variables with a VIP value greater than 1 are considered to be particularly important to the model.

[0074] The VIP value calculation formula is as follows:

[0075] For the kth variable (such as a certain metabolite), the VIP value calculation formula is:

[0076]

[0077] VIP kVIP value of the kth variable, K is the total number of variables (i.e. column number) in the X data matrix, A is the total number of principal components in the OPLS-DA model, a is the number of principal components, w ak weight, which is the value of the kth variable in the weight vector w of the ath principal component. The weight directly reflects the contribution of the variable to the construction of the principal component; SSY a SSY is the sum of squares of the response variable Y explained by the ath principal component, which measures the contribution of the ath principal component to the distinction of the group Y.

[0078] The characteristic fatty acids corresponding to the origin discrimination model of the crucian carp in the Yangtze River and the crucian carp not in the Yangtze River are as follows:

[0079] Table 6 Characteristic fatty acids of crucian carp in the Yangtze River and crucian carp not in the Yangtze River

[0080]

[0081] Referring to Figure 6 As shown in the figure, the characteristic fatty acids of the crucian carp in different reaches of the Yangtze River corresponding to the origin discrimination model are shown in Table 7:

[0082] Table 7 Characteristic fatty acids of crucian carp in different reaches of the Yangtze River

[0083]

[0084] The discrimination results of the crucian carp in the Yangtze River and the crucian carp not in the Yangtze River and the crucian carp in different reaches of the Yangtze River are shown in the table, and the discrimination mode is the size of the contrast function value and the group centroid function value. The smaller the difference is, the higher the discrimination accuracy is. As shown in Table 8 and Table 9, the prediction accuracy of the crucian carp in the Anqing-Tongling reach, the Nanjing-Shanghai reach, the Jingzhou-Wuhan reach, the Chongqing reach and the crucian carp not in the Yangtze River is 100%, and the crucian carp in different origins can be effectively traced.

[0085] Table 8 Function value of the canonical discrimination function of the crucian carp in the Yangtze River and the crucian carp not in the Yangtze River

[0086]

[0087] Table 9 Function value of the canonical discrimination function of the crucian carp in different reaches of the Yangtze River

[0088]

[0089] Those skilled in the art can understand that the above description is only the preferred embodiment of the present application, and the features described in various embodiments of the present disclosure and / or claims can be combined or combined, even if such combination or combination is not explicitly described in the present disclosure. It is not intended to limit the present application, although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent replacement for part of the technical features, any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0090] Although preferred embodiments of the present application have been described, those skilled in the art can make further changes and modifications to these embodiments once they know the basic inventive concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application. Obviously, those skilled in the art can make various modifications and changes to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and changes of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application also intends to include these modifications and changes.

Claims

1. A method for tracing the origin of crucian carp based on muscle tissue fatty acid profile, characterized by, The method comprises the following steps: Step 1, pretreating crucian muscle tissue to obtain fish oil; Step 2, performing methyl esterification treatment on the fish oil obtained in step 1; Step 3, detecting the characteristic fatty acid content of the crucian muscle tissue by using a GC-MS method; Step 4, constructing Yangtze River and non-Yangtze River crucian OPLS-DA origin discrimination analysis models and Yangtze River different reach crucian OPLS-DA origin discrimination analysis models based on the characteristic fatty acid content of the crucian muscle tissue obtained in step 3 and performing origin discrimination to realize origin prediction of crucians in different reaches of the Yangtze River; The characteristic fatty acids in the Yangtze River and non-Yangtze River crucian OPLS-DA origin discrimination analysis model include C18:0, C16:0, C18:1n9c, C22:6n3, C18:1n9t, C18:2n6c and C17:1; The function equation of the Yangtze River and non-Yangtze River crucian OPLS-DA origin discrimination analysis model is: The group centroid function of the Yangtze River and non-Yangtze River crucian OPLS-DA origin discrimination analysis model 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 characteristic fatty acids in the Yangtze River different reach crucian OPLS-DA origin discrimination analysis model include C18:2n6c, C18:1n9c, C22:6n3, C20:1, C18:1n9t, C18:0 and C20:4n6; Y 长江 = - 1.074; Y 非长江 = 2.801; The function equation of the Yangtze River different reach crucian OPLS-DA origin discrimination analysis model is: The method for performing origin discrimination based on the constructed Yangtze River and non-Yangtze River crucian OPLS-DA origin discrimination analysis model and the Yangtze River different reach crucian OPLS-DA origin discrimination analysis model in step 4 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.

2. The method of claim 1, wherein the method is based on the fatty acid profile of muscle tissue. Before the screening of the characteristic fatty acid content of the crucian muscle tissue obtained in step 3, the step of screening the characteristic differential fatty acids of crucians among different origins by using an OPLS-DA discrimination analysis model is further included. The characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3 is screened, and the characteristic fatty acid corresponding to each production area discrimination model is selected. The screened characteristic fatty acid is brought into the function equation Y1, and the obtained function value is compared with the group centroid function value Y 长江 and Y 非长江 The function value obtained is compared with the function value Y 长江 If the function value is similar to the function value Y 长江 , the crucian carp sample is determined as the Yangtze River crucian carp. Otherwise, the crucian carp sample is determined as the non-Yangtze River crucian carp. When the crucian carp sample is determined as the Yangtze River crucian carp, the characteristic fatty acid content of the crucian carp muscle tissue obtained in step 3 is brought into the function equations Y2, Y3 and Y4, and the obtained function value is compared with the group centroid function value table. The discrimination method is similar to the discrimination method of the Yangtze River crucian carp and the non-Yangtze River crucian carp. The function values of the function equations Y2, Y3 and Y4 are compared, and the Yangtze River crucian carp in different reaches can be predicted.

3. The method of claim 2, wherein the method is characterized by, After the characteristic fatty acid content of the crucian muscle tissue is detected by using the GC-MS method in step 3, the step of calculating the relative content of the fatty acids in the crucian muscle tissue by using the area normalization method is further included.

4. The method of claim 1, wherein the method is characterized by, The method for pretreating the crucian muscle tissue in step 1 is to extract fat by using a methanol-chloroform solution.

5. The method of claim 1, wherein the method is characterized by, The method for performing methyl esterification treatment on the fish oil obtained in step 1 in step 2 is to use a methyl esterification solution of 0.4 mol / L KOH-methanol solution.

6. The method of claim 1, wherein the method is characterized by, The conditions for detecting the characteristic fatty acid content of the crucian muscle tissue by using the GC-MS method in step 3 include chromatographic conditions and mass spectrometric conditions; 7. The method of claim 1, wherein the method is characterized by, ​ Chromatographic conditions: temperature program: initial column temperature 70 ℃, hold for 2 min, increase to 200 ℃ at 20 ℃ / min, hold for 0 min, increase to 220 ℃ at 1 ℃ / min, hold for 0 min, increase to 232 ℃ at 2 ℃ / min, hold for 0 min, increase to 240 ℃ at 20 ℃ / min, hold for 5 min, injection port temperature 240 ℃, injection volume 1 μL, carrier gas is pure helium, purity > 99.99 %, carrier gas flow rate is 1.0 mL / min, split ratio is 10:1; Mass spectrometric conditions: mass spectrometric ionization mode is EI ion source, electron energy is 70 eV; ion source temperature is 230 ℃; scanning mass range is 30-550 m / z; acquisition mode is Scan; solvent delay time is 3 min.

8. A computer storage medium having stored thereon a computer program, characterized in that The computer program, when executed by a processor, implements the method of any one of claims 1 to 7.

9. A computer device, comprising: comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of any one of claims 1 to 7.

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