Veterinary Drug Residue Detection Method and System Based on Spectral Technology

Abstract

The present invention relates to the field of residue detection, and particularly to a veterinary drug residue detection method and system based on spectral technology. The method includes: obtaining the relative concentration and predicted concentration of metabolic ions in an experimental sample; fitting the relative concentrations of metabolic ions in multiple experimental samples to obtain the fitted concentration of the current experimental sample; calculating the anomaly index of the metabolic ions in the current experimental sample; calculating the pollution degree of the current experimental sample, where the pollution degree characterizes the difference degree between the corresponding experimental sample and historical experimental samples; and obtaining the optimal concentration of the metabolic ions in the current experimental sample according to the concentration function of the metabolic ions. The present invention can effectively distinguish the metabolic ions of veterinary drugs in each experimental sample by using an ion coding list, fully considers the influence of metabolic ions when calculating the veterinary drug residue amount in an animal body, and improves the accuracy of the calculation result of the veterinary drug residue amount.

Description

Technical Field

[0001] The present invention relates to the field of residue detection, and in particular to a veterinary drug residue detection method and system based on spectral technology. Background Art

[0002] In modern animal husbandry, the use of veterinary drugs plays an important role in preventing and treating animal diseases. However, if the veterinary drug residues in meat products exceed the standard, it poses a potential threat to the health of consumers, and it is necessary to accurately detect the veterinary drug residues in animals. Veterinary drug residues refer to the prototype drugs or their metabolites accumulated or remaining in livestock and poultry bodies or products (such as eggs, dairy products, meat products, etc.) after drug use, including the residues of impurities related to veterinary drugs. The commonly used veterinary drug residue detection method is: using gas chromatography-mass spectrometry to obtain the corresponding mass spectrum of the test sample, and obtaining the veterinary drug residue amount according to the ratio of the ion content of each ion in the test sample to the ion content of the veterinary drug sample.

[0003] Chinese Patent with Publication No. CN118858198B discloses a veterinary drug residue detection method and system based on spectral technology. The method is: by analyzing the spectral characteristics in the spectral data, obtaining the representativeness of the characteristic peak points in the spectral data to represent the chemical bond content in the sample; analyzing the differences in the characteristic peaks of chemical bonds in the sample after veterinary drug intake and the sample after historical veterinary drug intake, obtaining the acquisition difficulty of chemical bonds; analyzing the temporal variation characteristics among the samples after historical veterinary drug intake, obtaining the degree to which chemical bonds are affected by the animal's own metabolism ability; then, according to the acquisition difficulty of chemical bonds and the degree to which chemical bonds are affected by the animal's own metabolism ability, cleaning the characteristic peaks of chemical bonds; and determining the relative concentration of the elements corresponding to the chemical bonds according to the cleaned characteristic peaks of chemical bonds.

[0004] Due to the animal's own metabolic performance, veterinary drugs will be decomposed into related metabolites, that is, the residual drugs exist in the animal body in two forms: prototype drugs and metabolites. However, the existing veterinary drug detection methods mainly detect the content of prototype drugs, ignoring the content of metabolites, resulting in poor accuracy of the veterinary drug residue detection results. Summary of the Invention

[0005] In order to solve the problem that the accuracy of the detection result is relatively low due to the neglect of metabolites when detecting the content of veterinary drug residues in the prior art, the present invention provides a veterinary drug residue detection method and system based on spectral technology.

[0006] In the first aspect, the present invention provides a veterinary drug residue detection method based on spectral technology, adopting the following technical solution:

[0007] Obtain multiple experimental samples at different times to obtain the relative concentrations and predicted concentrations of metabolic ions in the experimental samples; fit the relative concentrations of metabolic ions in multiple experimental samples to obtain the fitted concentration of the current experimental sample; calculate the anomaly index of metabolic ions in the current experimental sample, and the anomaly index is positively correlated with the absolute value of the difference between the relative concentration and the fitted concentration; calculate the pollution degree of the current experimental sample, and the pollution degree characterizes the difference degree between the corresponding experimental sample and the historical experimental samples; obtain the optimal concentration of metabolic ions in the current experimental sample according to the concentration function of metabolic ions, and the expression of the concentration function is:

[0008]

[0009] In the formula, represents the optimal concentration of the h-th related metabolic ion in the current experimental sample, represents the predicted concentration of the h-th related metabolic ion in the current experimental sample, represents the relative concentration of the h-th related metabolic ion in the current experimental sample, W represents the pollution degree of the current experimental sample, represents the pollution degree of the -th historical experimental sample, and m represents the total number of historical experimental samples.

[0010] Obtain the optimal concentration of metabolic ions in the experimental sample according to the concentration function. When calculating the veterinary drug residue amount in the animal body, the influence of metabolic ions is fully considered, which provides a theoretical basis for calculating the veterinary drug residue amount and further improves the accuracy of calculating the veterinary drug residue amount.

[0011] Preferably, the method for obtaining metabolic ions is: obtain veterinary drug samples and control samples, construct the coding lists of corresponding ions for the veterinary drug samples, control samples and experimental samples, and the coding lists are composed of ion codes; obtain the coding list of metabolic ions, and obtain the corresponding metabolic ions according to the coding list;

[0012] The expression of the coding list of metabolic ions is:

[0013]

[0014] In the formula, represents the coding list of veterinary drug metabolic ions for the i-th experimental sample; represents the coding list of all ions in the i-th experimental sample; D represents the coding list of all ions in the control group sample; S represents the coding list of all ions in the veterinary drug sample.

[0015] Using ion codes can effectively distinguish metabolic ions in each experimental sample and improve the accuracy rate of veterinary drug residue degree.

[0016] Preferably, the expression for the abnormality index of metabolic ions is:

[0017]

[0018] In the formula, represents the abnormality index of the metabolic ion related to the h-th veterinary drug in the i-th experimental sample; represents the relative concentration of the metabolic ion related to the h-th veterinary drug in the i-th experimental sample; represents the fitted concentration of the metabolic ion related to the h-th veterinary drug in the i-th experimental sample.

[0019] Preferably, the expression for the abnormality index of metabolic ions is:

[0020]

[0021] In the formula, represents the abnormality index of the metabolic ion related to the h-th veterinary drug in the i-th experimental sample; represents the relative concentration of the metabolic ion related to the h-th veterinary drug in the i-th experimental sample; represents the fitted concentration of the metabolic ion related to the h-th veterinary drug in the i-th experimental sample.

[0022] The deviation degree of the relative concentration of the corresponding metabolic ions obtained by gas chromatography-mass spectrometry can be conveniently evaluated through the abnormality index.

[0023] Preferably, the expression for the pollution degree is:

[0024]

[0025] In the formula, represents the pollution degree of the i-th experimental sample, represents the abnormality index of the metabolic ion related to the h-th veterinary drug in the i-th experimental sample, n represents the total number of categories of metabolic ions related to veterinary drugs in the i-th experimental sample, represents the average value of the abnormality indices of the metabolic ions related to the h-th veterinary drug in other experimental samples except the i-th experimental sample, represents the standard deviation of the abnormality indices of the metabolic ions related to the h-th veterinary drug in other experimental samples except the i-th experimental sample, and norm represents the normalization function.

[0026] The degree of influence of pollutants on the corresponding experimental samples can be understood through the pollution degree of the experimental samples.

[0027] Preferably, the method for obtaining the predicted concentration is as follows: taking the ratio of the pollution degree of the current experimental sample to the sum of the pollution degrees of all experimental samples as the weight coefficient of the current experimental sample, taking the reciprocal of the weight coefficient as the smoothing coefficient in the exponential smoothing algorithm, and calculating the predicted concentration of the current experimental sample by using the exponential smoothing algorithm.

[0028] By taking the reciprocal of the weight coefficient as the smoothing coefficient, when calculating the predicted concentration of the current experimental sample by using the exponential smoothing algorithm, the influence of the experimental samples with larger pollution degrees is weakened, and the accuracy of the predicted concentration result is further improved.

[0029] Preferably, the method for fitting the relative concentrations of metabolic ions in multiple experimental samples to obtain the fitted concentration of the current experimental sample is as follows: constructing a rectangular coordinate system with time as the X-axis and the concentration of metabolic ions as the Y-axis; mapping the relative concentrations of metabolic ions in the experimental samples into the rectangular coordinate system, using the least squares method to fit the relative concentrations to obtain a fitted curve, and obtaining the fitted concentration of the current experimental sample according to the fitted curve.

[0030] Preferably, the method further includes calculating the residue amount of metabolic ions: taking the ratio of the sum of the concentrations of each metabolic ion to the sum of each ion in the veterinary drug sample as the residue amount of the metabolic ion.

[0031] Preferably, the method for obtaining the relative concentration of metabolic ions in the experimental sample is as follows: obtaining the mass spectrum of each experimental sample by using gas chromatography-mass spectrometry, and taking the peak value of each metabolic ion in the mass spectrum as the relative concentration of the corresponding ion.

[0032] In a second aspect, the present invention provides a veterinary drug residue detection system based on spectral technology, adopting the following technical solution:

[0033] The veterinary drug residue detection system based on spectral technology includes: a processor and a memory, and the memory stores computer program instructions, which, when executed by the processor, implement the veterinary drug residue detection method based on spectral technology as described above.

[0034] Generating a computer program for the veterinary drug residue detection method based on spectral technology as described above and storing it in the memory to be loaded and executed by the processor, thereby making a system according to the memory and the processor for convenient use.

[0035] The present invention has the following technical effects:

[0036] 1. Using the ion coding list can effectively distinguish the metabolic ions of veterinary drugs in each experimental sample, fully considering the influence of metabolic ions when calculating the veterinary drug residue amount in animals, and improving the accuracy of the calculated result of the veterinary drug residue amount.

[0037] 2. Evaluate the contamination degree of the current experimental sample by the change in the content of veterinary drug metabolites deviating from the expected relative concentration, thereby adaptively obtaining a smoothing parameter to get a more practical metabolite content, avoiding misjudgment of the metabolite concentration in the current experimental sample caused by the contamination of the current experimental sample. Description of the Drawings

[0038] Figure 1 is a flowchart of the method for detecting veterinary drug residues based on spectral technology according to the present invention. Detailed Embodiments

[0039] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0040] In gas chromatography - mass spectrometry (GC - MS) analysis, the test sample is injected into the gas chromatograph and separated on the chromatographic column. Each compound in the test sample has a different retention time on the chromatographic column due to its different physical and chemical properties. The compounds eluted from the chromatographic column are sent into the mass spectrometer for ionization. The ionized compounds will generate a series of ions with different mass - to - charge ratios, and these ions are detected in the mass spectrometer to form a mass spectrum. Each peak in the mass spectrum represents a specific ion, and the peak height represents the ion intensity. If the concentration of a certain compound in the sample is higher, the intensity of the corresponding ion peak in the mass spectrum is greater.

[0041] The embodiments of the present invention disclose a method for detecting veterinary drug residues based on spectral technology. Refer to Figure 1 , including the following steps:

[0042] S1: Obtain multiple experimental samples at different times to obtain a plurality of experimental samples, and obtain veterinary drug samples and control samples.

[0043] Collect the blood of the animal before taking the veterinary drug as the control sample, and the blood of the animal at different times after taking the veterinary drug as the experimental sample. Here, different times mean collecting blood once at a certain interval after taking the veterinary drug. The preset collection interval is to collect once every 2h, and the collection period is one day.

[0044] S2: Construct corresponding ion coding lists for the veterinary drug sample, the control sample, and the experimental sample. The coding list is composed of ion codes. Obtain the coding list of metabolite ions, and obtain the corresponding metabolite ions according to the coding list.

[0045] Assign a unique ion code to each kind of ion in the sample, that is, each ion corresponds to an ion code. For example, the ion codes are a, b, c, …. The ion codes of all ions in a sample form a coding list. It can be seen that the veterinary drug sample, the control sample, and the experimental sample all correspond to a coding list. Then, obtain the coding list of the metabolic ions. The expression of the coding list of the metabolic ions is:

[0046]

[0047] In the formula, represents the coding list of the veterinary drug metabolic ions of the i-th experimental sample; represents the coding list of all ions in the i-th experimental sample; D represents the coding list of all ions in the control group sample; S represents the coding list of all ions in the veterinary drug sample.

[0048] Among them, after the veterinary drug is ingested into the animal body, a biological reaction occurs to generate metabolites. Under the same animal feed conditions, it means that the ion types remain unchanged without the influence of the veterinary drug. Therefore, the part of the ion codes in the experimental sample that is different from those in the control sample and the veterinary drug sample is the veterinary drug-related metabolite in the experimental sample. Therefore, represents the list of ions common to the i-th experimental sample that ingests the veterinary drug and the control sample and the veterinary drug sample that ingests the veterinary drug. represents the list of ions remaining after removing the ions common to the i-th experimental sample that ingests the veterinary drug and the control sample and the veterinary drug sample that ingests the veterinary drug from all the ion codes in the i-th experimental sample that ingests the veterinary drug. The remaining ion list is the ion list of the metabolite of the veterinary drug.

[0049] S3: Obtain the relative concentration of the metabolic ions in the experimental sample, and fit the relative concentrations of the metabolic ions in multiple experimental samples to obtain the fitted concentration of the current experimental sample.

[0050] According to the ion list of the metabolite, the code of the metabolic ion can be obtained. Use gas chromatography-mass spectrometry to obtain the mass spectrum of each experimental sample. Take the peak value of each metabolic ion in the mass spectrum as the relative concentration of the corresponding ion, and fit the relative concentrations of the same metabolic ion in multiple experimental samples. The method is: construct a rectangular coordinate system with time as the X-axis and the concentration of the metabolic ion as the Y-axis; map the relative concentration of the metabolic ion in the experimental sample into the rectangular coordinate system, use the least squares method to fit the relative concentration to obtain a fitted curve, and obtain the fitted concentration of the current experimental sample according to the fitted curve.

[0051] Exemplarily, for the metabolic ion with the ion code b, map the metabolic ion b in the experimental specimens at different times (experimental specimens at historical times) into the rectangular coordinate system, and then use the least squares method to fit the relative concentration to obtain a fitted curve, and obtain the fitted concentration of the current experimental sample according to the fitted curve.

[0052] S4: Calculate the anomaly index of the metabolic ions in the current experimental sample. The anomaly index is positively correlated with the absolute value of the difference between the relative concentration and the fitted concentration.

[0053] In one embodiment, the expression of the anomaly index of the metabolic ions is:

[0054]

[0055] In the formula, represents the anomaly index of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample; represents the relative concentration of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample; represents the fitted concentration of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample.

[0056] represents the anomaly index of the h-th veterinary drug-related metabolic ions in the i-th experimental sample of the ingested veterinary drug. The larger its value, the more significant the difference between the relative concentration of the corresponding metabolic ions and the ideal fitted curve, indicating that the corresponding metabolic ions in this experimental sample may be abnormal due to external factors. Therefore, the anomaly index reflects the deviation degree of the relative concentration of the corresponding metabolic ions obtained by gas chromatography-mass spectrometry. The larger its value, the more the metabolic ions deviate from the fitted curve, indicating that the possibility of the corresponding metabolic ions being abnormal is greater.

[0057] In one embodiment, the expression of the anomaly index of the metabolic ions is:

[0058]

[0059] In the formula, represents the anomaly index of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample; represents the relative concentration of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample; represents the fitted concentration of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample.

[0060] S5: Calculate the contamination degree of the current experimental sample. The contamination degree characterizes the difference degree between the corresponding experimental sample and the historical experimental samples.

[0061] The expression of the contamination degree is:

[0062]

[0063] In the formula, represents the contamination degree of the i-th experimental sample, represents the abnormality index of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample, and n represents the total number of categories of the metabolic ions related to veterinary drugs in the i-th experimental sample. represents the average value of the abnormality indices of the metabolic ions related to the h-th veterinary drug in other experimental samples except the i-th experimental sample. represents the standard deviation of the abnormality indices of the metabolic ions related to the h-th veterinary drug in other experimental samples except the i-th experimental sample, and norm represents the normalization function.

[0064] Among them, represents the degree of deviation of the abnormality index of the metabolic ions related to the h-th veterinary drug in the i-th experimental sample ingesting veterinary drugs from the average level of the abnormality indices of the metabolic ions related to the h-th veterinary drug in other experimental samples. The greater the degree of contamination of the experimental sample, it indicates that the experimental sample may be affected by pollutants, resulting in a significant deviation of the abnormality index of the metabolic ions related to the h-th veterinary drug from the expected range.

[0065] S6: Calculate the predicted concentration of the current experimental sample.

[0066] Take the ratio of the degree of contamination of the current experimental sample to the sum of the degrees of contamination of all experimental samples as the weight coefficient of the current experimental sample, take the reciprocal of the weight coefficient as the smoothing coefficient in the exponential smoothing algorithm, and calculate the predicted concentration of the current experimental sample using the exponential smoothing algorithm.

[0067] Among them, the expression coefficient of the weight coefficient of the current experimental sample is:

[0068]

[0069] In the formula, represents the weight coefficient of the degree of contamination of the current experimental sample ingesting veterinary drugs; represents the degree of contamination of the current experimental sample ingesting veterinary drugs; represents the degree of contamination of the -th experimental sample before the current experimental sample ingesting veterinary drugs; m represents the total number of experimental samples before the current experimental sample ingesting veterinary drugs.

[0070] represents the ratio of the degree of contamination of the current experimental sample to the sum of the degrees of contamination of all samples. The weight coefficient reflects the influence of the degree of contamination of the current sample on the degree of contamination of historical local samples. The larger this value is, the greater the degree of contamination of the current sample and the greater the weight in the local degree of contamination.

[0071] If the contamination level of the current experimental sample is relatively high among all experimental samples, it means that the relative concentration of veterinary drug-related metabolite ions obtained from the current experimental sample is less reliable. A smaller smoothing parameter is used to make the smoothing process more dependent on the relative concentrations of metabolite ions in historical experimental samples, thereby obtaining a predicted concentration that better fits the veterinary drug-related metabolite ions in the current experimental sample.

[0072] S7: Obtain the optimal concentration of metabolite ions in the current experimental sample according to the concentration function of metabolite ions. The expression of the concentration function is:

[0073]

[0074] In the formula, represents the optimal concentration of the h-th related metabolite ion in the current experimental sample, represents the predicted concentration of the h-th related metabolite ion in the current experimental sample, represents the relative concentration of the h-th related metabolite ion in the current experimental sample, W represents the contamination level of the current experimental sample, represents the contamination level of the -th historical experimental sample, and m represents the total number of historical experimental samples.

[0075] If , it indicates that the contamination level of the current experimental sample is relatively high among the contamination levels of all experimental samples, indicating that the relative concentration of veterinary drug-related metabolite ions obtained from the current sample is less reliable. At this time, the smoothed result that depends on the relative concentrations of related metabolite ions in historical experimental samples is used as the final relative concentration of the corresponding metabolite ions in the current experimental sample; if it indicates that the analysis result of the current experimental sample is relatively reliable, and the originally obtained relative concentration can be directly used.

[0076] Calculate the residue amount of metabolite ions according to the obtained optimal concentration of metabolite ions. The ratio of the sum of the concentrations of each metabolite ion to the sum of each ion in the veterinary drug sample is the residue amount of metabolite ions. The residue amount of veterinary drugs is further obtained based on the residue amount of metabolite ions. The specific method is to obtain the common coding list of the current experimental sample and the veterinary drug sample, obtain the residual veterinary drug ions in the experimental sample, and the ratio of the sum of the relative concentrations of the residual veterinary drug ions in the experimental sample to the sum of each ion in the veterinary drug sample is the residue amount of veterinary drug ions; finally, the sum of the residue amount of metabolite ions and the residue amount of veterinary drug ions is the final residue amount of veterinary drugs.

[0077] The embodiment of the present invention also discloses a veterinary drug residue detection system based on spectral technology, including a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, the veterinary drug residue detection method based on spectral technology according to the present invention is implemented.

[0078] The above system also includes other components well-known to those skilled in the art, such as a communication bus and a communication interface, whose settings and functions are known in the art, and thus will not be elaborated herein.

[0079] The above are all preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present invention shall be covered within the protection scope of the present invention.

Claims

1. A veterinary drug residue detection method based on spectroscopy technology, characterized in that: Includes steps: Acquire experimental samples at different times to obtain multiple experimental samples, obtain the relative concentration and predicted concentration of metabolic ions in the experimental samples; fit the relative concentration of metabolic ions in multiple experimental samples to obtain the fitted concentration of the current experimental sample; calculate the abnormal index of metabolic ions in the current experimental sample, and the abnormal index is positively correlated with the absolute value of the difference between the relative concentration and the fitted concentration; calculate the contamination degree of the current experimental sample, and the contamination degree represents the degree of difference between the corresponding experimental sample and the historical experimental sample; obtain the optimal concentration of metabolic ions of the current experimental sample according to the concentration function of metabolic ions, and the expression of the concentration function is: In the formula, represents the optimal concentration of the hth related metabolic ion in the current experimental sample, represents the predicted concentration of the hth related metabolic ion in the current experimental sample, represents the relative concentration of the hth related metabolic ion in the current experimental sample, W represents the contamination degree of the current experimental sample, Indicates The contamination degree of historical experimental samples is m, and m represents the total number of historical experimental samples.

2. The veterinary drug residue detection method based on spectroscopy technology according to claim 1 is characterized in that: The method for obtaining metabolic ions is as follows: obtaining veterinary drug samples and control samples, constructing a coding list of corresponding ions for the veterinary drug samples, the control samples and the experimental samples, wherein the coding list is composed of ion codes; obtaining the coding list of metabolic ions, and obtaining corresponding metabolic ions according to the coding list; The expression of the metabolic ion code list is: In the formula, Represents the coding list of veterinary drug metabolic ions for the i-th experimental sample; represents the coding list of all ions in the i-th experimental sample; D represents the coding list of all ions in the control group sample; S represents the coding list of all ions in the veterinary drug sample.

3. The veterinary drug residue detection method based on spectroscopy technology according to claim 1 is characterized in that: The abnormal index expression of metabolic ions is: In the formula, represents the abnormal index of the metabolic ions related to the hth veterinary drug in the i-th experimental sample; represents the relative concentration of the metabolite ion related to the hth veterinary drug in the i-th experimental sample; Represents the fitted concentration of the hth veterinary drug-related metabolite ion in the ith experimental sample.

4. The veterinary drug residue detection method based on spectroscopy technology according to claim 1 is characterized in that: The abnormal index expression of metabolic ions is: In the formula, represents the abnormal index of the metabolic ions related to the hth veterinary drug in the i-th experimental sample; represents the relative concentration of the metabolite ion related to the hth veterinary drug in the i-th experimental sample; Represents the fitted concentration of the hth veterinary drug-related metabolite ion in the ith experimental sample.

5. The veterinary drug residue detection method based on spectroscopy technology according to claim 3 is characterized in that: The expression of pollution degree is: In the formula, represents the contamination degree of the i-th experimental sample, represents the abnormal index of the hth veterinary drug-related metabolic ion in the ith experimental sample, n represents the total number of categories of veterinary drug-related metabolic ions in the ith experimental sample, represents the average value of the abnormal index of the metabolic ions related to the hth veterinary drug in other experimental samples except the i-th experimental sample, represents the standard deviation of the abnormal index of the h-th veterinary drug-related metabolic ions of other experimental samples except the i-th experimental sample, and norm represents the normalization function.

6. The veterinary drug residue detection method based on spectroscopy technology according to claim 1 is characterized in that: The method for obtaining the predicted concentration is as follows: the ratio of the contamination degree of the current experimental sample to the sum of the contamination degrees of all experimental samples is used as the weight coefficient of the current experimental sample, the inverse of the weight coefficient is used as the smoothing coefficient in the exponential smoothing algorithm, and the predicted concentration of the current experimental sample is calculated using the exponential smoothing algorithm.

7. The veterinary drug residue detection method based on spectroscopy technology according to claim 1 is characterized in that: The method for fitting the relative concentrations of metabolic ions in multiple experimental samples to obtain the fitted concentration of the current experimental sample is as follows: constructing a rectangular coordinate system with time as the X-axis and the concentration of metabolic ions as the Y-axis; mapping the relative concentrations of metabolic ions in the experimental samples to the rectangular coordinate system, fitting the relative concentrations using the least squares method to obtain a fitting curve, and obtaining the fitting concentration of the current experimental sample based on the fitting curve.

8. The veterinary drug residue detection method based on spectroscopy technology according to claim 1 is characterized in that: The method also includes calculating the residual amount of the metabolite ions: the ratio of the sum of the concentrations of the metabolite ions to the sum of the ions in the veterinary drug sample is taken as the residual amount of the metabolite ions.

9. The veterinary drug residue detection method based on spectroscopy technology according to claim 1 is characterized in that: The method for obtaining the relative concentration of metabolic ions in the experimental samples is: using gas chromatography-mass spectrometry to obtain a mass spectrum of each experimental sample, and taking the peak value of each metabolic ion in the mass spectrum as the relative concentration of the corresponding ion.

10. The veterinary drug residue detection system based on spectroscopy technology is characterized by: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the veterinary drug residue detection method based on spectroscopy technology according to any one of claims 1-9 is implemented.

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