Antibody concentration detection method, device, equipment and medium

Through the establishment of a calibration curve and correction curve of antibody concentration detection, the detection results caused by the batch of different reagents were solved, and the high accuracy and stability of the antibody concentration detection was achieved.

CN119355270APending Publication Date: 2025-01-24AUTOBIO LABTEC INSTR CO LTD
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Patent Information

Application Number
CN202411451699.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-17
Publication Date
2025-01-24

AI Technical Summary

Technical Problem

The existing antibody concentration detection methods have different reagent batches, resulting in inaccurate and unstable results, making it difficult to improve the accuracy and stability of the detection.

Method used

Establish a calibration curve by obtaining the measurement value of the unified school quasi -quality product based on the first preset detection reagent test; and then obtain the benchmark value of the standard school product based on the test of the second preset detection reagent, enter the calibration curve Establish a correction curve to correct the deviation between the batch of different reagents, and finally use the calibration curve and the correction curve to determine the target antibody concentration value of the sample to be detected.

Benefits of technology

It significantly improves the accuracy and stability of the antibody concentration detection, and ensures the consistency and reliability of the detection results between the batch of different reagents.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an antibody concentration detection method, device and equipment and a medium, and relates to the field of immunological detection.The method comprises the steps that a first measured value of a unified calibrator detected based on a first preset detection reagent is obtained; establishing a calibration curve between the actual antibody concentration value of the unified calibrator and the first measurement value; obtaining a first reference value or a second reference value of a working calibrator detected based on a second preset detection reagent, inputting the first reference value into the calibration curve to obtain a back calculation value of the working calibrator, and establishing a correction curve between the second reference value and the back calculation value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; and acquiring a second measurement value of the to-be-detected sample, and determining a target antibody concentration value corresponding to the second measurement value by using the calibration curve and the correction curve. According to the scheme, the accuracy and the stability of antibody concentration detection can be improved.
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Description

Technical Field

[0001] The present invention relates to the field of immunological detection, and in particular to a method, device, equipment and medium for detecting antibody concentration. Background Art

[0002] Antigens that induce allergic reactions are called allergens. Allergens include pollen, mites, milk, eggs, fish and shrimp, etc. They can cause mild symptoms such as itching and urticaria, and severe symptoms such as coma and convulsions. Whether an allergic reaction occurs to a certain allergen and whether the allergic reaction is quantitative or semi-stereotyped is mostly measured by measuring specific antibodies.

[0003] Currently, the internationally accepted method for allergen detection in the IVD (in vitro diagnostic products) industry is to use total IgE (the total value of immunoglobulin E in serum) traceable to the WHO (World Health Organization) and combine it with heterologous interpolation to obtain a single sIgE (an IgE that can specifically bind to a certain allergen, i.e. specific IgE) quantitative method.

[0004] Although the sIgE concentration, i.e., antibody concentration, can be obtained through the above method due to the characteristics of allergens, if different batches of reagents are used to measure the same sample, there will be large deviations in the results. In other words, due to the different batches of antibody concentration detection reagents, the current antibody concentration detection results are inaccurate and unstable.

[0005] In summary, how to improve the accuracy and stability of antibody concentration detection is a problem to be solved in this field. Summary of the invention

[0006] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for detecting antibody concentration to improve the accuracy and stability of antibody concentration detection. The specific scheme is as follows:

[0007] In a first aspect, the present application discloses a method for detecting antibody concentration, comprising:

[0008] Obtaining a first measurement value of a unified calibrator detected by a first preset detection reagent;

[0009] Establishing a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value;

[0010] Obtaining a first reference value or a second reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different;

[0011] A second measurement value of the sample to be detected is obtained, and the target antibody concentration value corresponding to the second measurement value is determined using the calibration curve and the correction curve.

[0012] Optionally, the first preset detection reagent is a preset standard batch of antibody concentration detection reagent, and the second preset detection reagent is a preset non-standard batch of antibody concentration detection reagent;

[0013] Accordingly, obtaining a second reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value of the working calibrator into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value and the back-calculated value, including:

[0014] Determining the actual antibody concentration value of the working calibrator as a first reference value of the working calibrator, and inputting the first reference value into the calibration curve to obtain a first back-calculated measurement value of the working calibrator;

[0015] A third measurement value of the working calibrator measured based on a second preset detection reagent is obtained, and the third measurement value is determined as a second reference value of the working calibrator, and a first correction curve between the second reference value and the first back-calculated measurement value is established.

[0016] Optionally, the determining the target antibody concentration value corresponding to the second measured value using the calibration curve and the correction curve includes:

[0017] Determining a second back-calculated measurement value corresponding to the second measurement value in the first correction curve;

[0018] The target antibody concentration value corresponding to the second back-calculated measurement value in the calibration curve is determined.

[0019] Optionally, the first preset detection reagent is a preset non-standard batch of antibody concentration detection reagent, and the second preset detection reagent is a preset standard batch of antibody concentration detection reagent;

[0020] Correspondingly, obtaining a first reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value of the working calibrator and the back-calculated value, including:

[0021] Obtaining a fourth measurement value of the working calibrator measured based on the second preset detection reagent, determining the fourth measurement value of the working calibrator as a first reference value of the working calibrator, and inputting the first reference value of the working calibrator into the calibration curve to obtain a first back-calculated concentration value of the working calibrator;

[0022] The actual antibody concentration value of the working calibrator is determined as a second reference value of the working calibrator, and a second correction curve between the second reference value and the first back-calculated concentration value is established.

[0023] Optionally, the determining the target antibody concentration value corresponding to the second measured value using the calibration curve and the correction curve includes:

[0024] determining a second back-calculated concentration value corresponding to the second measured value in the calibration curve;

[0025] A target antibody concentration value corresponding to the second back-calculated concentration value in the second correction curve is determined.

[0026] Optionally, the measured value is a parameter value after the antibody concentration detection reagent reacts with the target object through a preset procedure; wherein, the target object is the unified calibrator, the working calibrator, and the sample to be detected.

[0027] Optionally, the function type of the calibration curve includes a linear function type, a multi-parameter function type, an S-curve type, a spline function type, and a polynomial function type; the coordinate transformation method of the calibration curve includes a linear-linear transformation method, a logarithmic-logarithmic transformation method, a linear-logarithmic transformation method, and a logarithmic-linear transformation method.

[0028] In a second aspect, the present application discloses an antibody concentration detection device, comprising:

[0029] A measurement value acquisition module, used to acquire a first measurement value of a unified calibrator detected by a first preset detection reagent;

[0030] A calibration curve establishment module, used to establish a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value;

[0031] A correction curve establishment module, used to obtain a first reference value or a second reference value of a working calibrator detected by a second preset detection reagent, input the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establish a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different;

[0032] The antibody concentration determination module is used to obtain a second measurement value of the sample to be detected, and determine a target antibody concentration value corresponding to the second measurement value using the calibration curve and the correction curve.

[0033] In a third aspect, the present application discloses an electronic device, comprising:

[0034] Memory, used to store computer programs;

[0035] A processor is used to execute the computer program to implement the steps of the antibody concentration detection method disclosed above.

[0036] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the steps of the antibody concentration detection method disclosed above are implemented.

[0037] The beneficial effects of the present application are as follows: the present application obtains a first measurement value of a unified calibrator detected based on a first preset detection reagent; establishes a calibration curve between the actual antibody concentration value of the unified calibrator and the first measurement value; obtains a first reference value or a second reference value of a working calibrator detected based on a second preset detection reagent, inputs the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishes a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; obtains a second measurement value of the sample to be detected, and uses the calibration curve and the correction curve to determine the target antibody concentration value corresponding to the second measurement value. It can be seen that the first measurement value of the unified calibrator of the present application is obtained based on the detection of the first preset detection reagent, and a calibration curve is established between the actual antibody concentration value of the unified calibrator and the first measurement value. That is to say, the calibration curve corresponds to the batch of the first preset detection reagent. Next, the first reference value or the second reference value of the working calibrator based on the detection of the second preset detection reagent is obtained, and the first reference value is input into the calibration curve to obtain the back-calculated value of the working calibrator, and a correction curve between the second reference value and the back-calculated value is established. Because the batches of the first preset detection reagent and the second preset detection reagent are different, it can be seen that the correction curve can correct the deviation of the calibration curve between different reagent batches. Therefore, when the second measurement value of the sample to be detected is obtained, the target antibody concentration value corresponding to the second measurement value determined by the calibration curve and the correction curve is more reliable and more accurate, and the correction curve significantly improves the accuracy and stability of antibody concentration detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0039] Figure 1 This is a flow chart of an antibody concentration detection method disclosed in this application;

[0040] Figure 2 This is a flow chart of a specific antibody concentration detection method disclosed in this application;

[0041] Figure 3 A schematic diagram is established for a specific correction curve disclosed in this application;

[0042] Figure 4 This is a flow chart of another specific antibody concentration detection method disclosed in this application;

[0043] Figure 5 A schematic diagram is established for another specific correction curve disclosed in the present application;

[0044] Figure 6 This is a schematic diagram of the structure of an antibody concentration detection device disclosed in this application;

[0045] Figure 7 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0047] Antigens that induce allergic reactions are called allergens. Allergens include pollen, mites, milk, eggs, fish and shrimp, etc. They can cause mild symptoms such as itching and urticaria, and severe symptoms such as coma and convulsions. Whether an allergic reaction occurs to a certain allergen and whether the allergic reaction is quantitative or semi-stereotyped is mostly measured by measuring specific antibodies.

[0048] Currently, the internationally accepted method for allergen detection in the IVD (in vitro diagnostic products) industry is to use total IgE (the total value of immunoglobulin E in serum) traceable to the WHO (World Health Organization) and combine it with heterologous interpolation to obtain a single sIgE (an IgE that can specifically bind to a certain allergen, i.e. specific IgE) quantitative method.

[0049] Although the sIgE concentration, i.e., antibody concentration, can be obtained through the above method due to the characteristics of allergens, if different batches of reagents are used to measure the same sample, there will be large deviations in the results. In other words, due to the different batches of antibody concentration detection reagents, the current antibody concentration detection results are inaccurate and unstable.

[0050] To this end, the present application provides a corresponding antibody concentration detection scheme to improve the accuracy and stability of antibody concentration detection.

[0051] See also Figure 1 As shown, the present application embodiment discloses a method for detecting antibody concentration, comprising:

[0052] Step S11: obtaining a first measurement value of a unified calibrator detected by a first preset detection reagent.

[0053] In this embodiment, the measured value is the parameter value after the antibody concentration detection reagent reacts with the target object through a preset procedure; wherein the target object is the unified calibrator, the working calibrator, and the sample to be detected. That is, the first measured value is obtained after the unified calibrator is detected by the first preset detection reagent and reacts through a preset procedure, and there is a mapping relationship between the first measured value and the actual antibody concentration value of the unified calibrator, wherein the unified calibrator is a calibrator including multiple project components, and the actual antibody concentration value of the unified calibrator is known.

[0054] Step S12: establishing a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value.

[0055] In this embodiment, the function type of the calibration curve includes a linear function type, a multi-parameter function type, an S-curve type, a spline function type, and a polynomial function type, and the coordinate transformation method of the calibration curve includes a linear-linear transformation method, a logarithmic-logarithmic transformation method, a linear-logarithmic transformation method, and a logarithmic-linear transformation method. A calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value is established, and the function type of the calibration curve may be any one of a linear function type, a multi-parameter function type, an S-curve type, a spline function type, and a polynomial function type. The multi-parameter function type is further specifically divided into a four-parameter function and a five-parameter function. The S-curve type may be a logistic model, and the polynomial function type may be a cubic polynomial or a quadratic polynomial. Further, the coordinate transformation method may be any one of a linear (lin)-linear transformation method, a logarithmic (log)-logarithmic transformation method, a linear-logarithmic transformation method, and a logarithmic-linear transformation method.

[0056] For example, in the project I6 for measuring the degree of allergy to cockroaches, the function type of the calibration curve is specifically a five-parameter function, and the coordinate transformation method is specifically a linear-logarithmic transformation method. The formula is as follows:

[0057] Y=(ad) / (1+(X / c)^b)^e;

[0058] Wherein, X and Y represent the actual antibody concentration value and the first measurement value of the unified calibrator, respectively, and a, b, c, d, and e are parameters, respectively, which can be a=1.75877739242201, b=0.264119605281496, c=0.0837437067409476, d=10.7533526008654, e=0.647335441799944; in this way, in the calibration curve, when the antibody concentration is known, the corresponding measurement value will be determined, and when the measurement value is known, the corresponding antibody concentration will be determined.

[0059] Step S13: Obtain a first reference value or a second reference value of a working calibrator detected based on a second preset detection reagent, input the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establish a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different.

[0060] In a specific embodiment, when the first reference value of the working calibrator based on the detection of the second preset detection reagent is obtained, the second reference value of the working calibrator is the actual antibody concentration value of the working calibrator, and the first reference value of the working calibrator is specifically the measured value of the working calibrator. Because the calibration curve reflects the mapping relationship between the measured value and the antibody concentration value, the first reference value is input into the calibration curve, and the back-calculated value of the working calibrator can be calculated. It can be understood that the back-calculated value is the back-calculated concentration value, that is, the correction curve established next reflects the relationship between the actual antibody concentration value and the back-calculated concentration value, and the correction curve can also correct the deviation between the actual antibody concentration value and the back-calculated concentration value.

[0061] In another specific embodiment, when obtaining the second reference value of the working calibrator based on the detection of the second preset detection reagent, the actual antibody concentration value of the working calibrator is the first reference value of the working calibrator, and the second reference value is the measured value of the working calibrator. Because the calibration curve reflects the relationship between the concentration and the measured value, when the actual antibody concentration value is determined, the calibration curve can be used to determine the back-calculated measurement value corresponding to the actual antibody concentration value. Then, the established correction curve can describe the mapping relationship between the actual measurement value and the back-calculated measurement value, and the correction curve can also correct the deviation between the actual measurement value and the back-calculated measurement value.

[0062] It should be noted that the working calibrator is a calibrator with a known actual antibody concentration value, and the batches of the first preset detection reagent and the second preset detection reagent are different. For example, if the first preset detection reagent is an antibody concentration detection reagent of a preset standard batch, then the second preset detection reagent is an antibody concentration detection reagent of a preset non-standard batch. Similarly, if the first preset detection reagent is an antibody concentration detection reagent of a preset non-standard batch, then the second preset detection reagent is an antibody concentration detection reagent of a preset standard batch.

[0063] Step S14: obtaining a second measurement value of the sample to be detected, and determining a target antibody concentration value corresponding to the second measurement value using the calibration curve and the correction curve.

[0064] The second measurement value of the sample to be detected is obtained. The sample to be detected is a sample of unknown actual antibody concentration value. Although the calibration curve can reflect the mapping relationship between the concentration value and the measurement value under the first preset detection reagent, the calibration curve has a deviation in the mapping relationship between the concentration value and the measurement value when facing other reagent batches, so the deviation can be corrected by the correction curve to make the final target antibody concentration value more accurate. It should be noted that the function types of the correction curve include linear function types, multi-parameter function types, S-curve types, spline function types, and polynomial function types, and the coordinate transformation methods of the correction curve include linear-linear transformation methods, log-log transformation methods, linear-log transformation methods, and log-linear transformation methods.

[0065] For example, in the project of I6 for measuring the degree of allergy to cockroaches, the reagents of batch 1 are used as the preset standard batch of antibody concentration detection reagents, and the reagents of batch 2 are used as the preset non-standard batch of antibody concentration detection reagents. First, batch 1 is used to determine the measurement value of the unified calibrator, and then a calibration curve 1 is established based on the measurement value of the unified calibrator and the actual antibody concentration value of the unified calibrator. The antibody concentration value 1 of each quality control product is detected using the calibration curve 1. Secondly, batch 2 is used to determine the measurement value of the unified calibrator, and then a calibration curve 2 is established based on the measurement value of the unified calibrator and the actual antibody concentration value of the unified calibrator. The antibody concentration value 2 of each quality control product is detected using the calibration curve 2, as shown in the following table:

[0066] Table 1

[0067] Batch 1 Quality Control Concentration Batch 2 Quality Control Concentration deviation 0.50 0.43 -12.89% 0.58 0.50 -13.97% 1.40 1.27 -8.76% 4.87 4.15 -14.69% 7.26 6.22 -14.31% 13.53 11.56 -14.57% 15.53 14.02 -9.71% 52.45 46.51 -11.32% 71.30 63.67 -10.69% 88.82 84.13 -5.28%

[0068] According to Table 1, the deviation between the antibody concentration value 1 of the quality control product and the antibody concentration value 2 of the corresponding quality control product can be calculated, wherein the maximum deviation is 14.69%. This deviation does not meet the project requirement of 8% for the preset maximum deviation of different batches of reagents. Therefore, in order to improve the concentration detection accuracy and minimize the deviation between different batches of reagents, a correction curve can be used for correction. The specific function type of the correction curve is a five-parameter function type, and the specific coordinate transformation method is a linear-logarithmic transformation method, as shown below:

[0069] Y=(AD) / (1+(X / C)^B)^E;

[0070] Wherein, X and Y are the second reference value and the calculated value respectively, and A=0.372369088346515, B=0.157111275955963, C=98843.8243194761, D=13.410705997172, E=0.64361965111679;

[0071] The concentration value in the item I6 for measuring the degree of allergy to cockroaches is corrected using the correction curve. The corrected concentration value is specifically shown as follows:

[0072] Table 2

[0073] Batch 1 Quality Control Concentration Batch 2 Quality Control Concentration deviation 0.50 0.50 0.35% 0.58 0.57 -0.75% 1.40 1.48 5.74% 4.87 4.78 -1.78% 7.26 7.13 -1.88% 13.53 13.08 -3.30% 15.53 15.80 1.76% 52.45 50.58 -3.57% 71.30 68.42 -4.03% 88.82 89.39 0.63%

[0074] According to Table 2, the deviation between the antibody concentration value 1 of the quality control product and the corresponding antibody concentration value 2 of the quality control product can be calculated, where the maximum deviation is 5.74%. This deviation meets the project requirement of 8% for the preset maximum deviation of different batches of reagents, effectively improves the concentration detection accuracy, and the deviation between different batches of reagents is significantly reduced.

[0075] The beneficial effects of the present application are as follows: the present application obtains a first measurement value of a unified calibrator detected based on a first preset detection reagent; establishes a calibration curve between the actual antibody concentration value of the unified calibrator and the first measurement value; obtains a first reference value or a second reference value of a working calibrator detected based on a second preset detection reagent, inputs the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishes a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; obtains a second measurement value of the sample to be detected, and uses the calibration curve and the correction curve to determine the target antibody concentration value corresponding to the second measurement value. It can be seen that the first measurement value of the unified calibrator of the present application is obtained based on the detection of the first preset detection reagent, and a calibration curve is established between the actual antibody concentration value of the unified calibrator and the first measurement value. That is to say, the calibration curve corresponds to the batch of the first preset detection reagent. Next, the first reference value or the second reference value of the working calibrator based on the detection of the second preset detection reagent is obtained, and the first reference value is input into the calibration curve to obtain the back-calculated value of the working calibrator, and a correction curve between the second reference value and the back-calculated value is established. Because the batches of the first preset detection reagent and the second preset detection reagent are different, it can be seen that the correction curve can correct the deviation of the calibration curve between different reagent batches. Therefore, when the second measurement value of the sample to be detected is obtained, the target antibody concentration value corresponding to the second measurement value determined by the calibration curve and the correction curve is more reliable and more accurate, and the correction curve significantly improves the accuracy and stability of antibody concentration detection.

[0076] See also Figure 2 As shown, the present application embodiment discloses a specific method for detecting antibody concentration, comprising:

[0077] Step S21: obtaining a first measurement value of a unified calibrator detected by a first preset detection reagent; the first preset detection reagent is an antibody concentration detection reagent of a preset standard batch.

[0078] In this embodiment, the unified calibrator is detected based on a preset standard batch of antibody concentration detection reagents. After the preset standard batch of antibody concentration detection reagents and the unified calibrator react through a preset procedure, a first measurement value of the unified calibrator is obtained.

[0079] Step S22: establishing a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value.

[0080] A calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value is established, that is, the calibration curve can characterize the mapping relationship between the antibody concentration value and the measured value under the preset standard batch.

[0081] Step S23: Determine the actual antibody concentration value of the working calibrator as the first reference value of the working calibrator, and input the first reference value into the calibration curve to obtain a first back-calculated measurement value of the working calibrator.

[0082] In this embodiment, the first reference value of the working calibrator is the actual antibody concentration value of the working calibrator. Next, the actual antibody concentration value of the working calibrator is input into the calibration curve to obtain the first back-calculated measurement value of the working calibrator.

[0083] Step S24: Obtain a third measurement value of the working calibrator measured based on a second preset detection reagent, determine the third measurement value as a second reference value of the working calibrator, and establish a first correction curve between the second reference value and the first back-calculated measurement value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; and the second preset detection reagent is a preset non-standard batch of antibody concentration detection reagent.

[0084] Based on the second preset detection reagent, the working calibrator is measured, so that the preset non-standard batch of antibody concentration detection reagent reacts with the working calibrator through a preset procedure to obtain a third measurement value, and the third measurement value is determined as the second reference value of the working calibrator. It can be understood that although the third measurement value and the first back-calculated measurement value are both measurement values ​​of the working calibrator, because the reagent batches used to determine their values ​​are different, there is a deviation between the third measurement value and the first back-calculated measurement value, for example Figure 3 A specific correction curve establishment schematic diagram is shown, which establishes a first correction curve between the second reference value and the first back-calculated measurement value, and the first correction curve can describe the measurement value deviation relationship between the preset standard batch and the preset non-standard batch, that is, when the measurement value under the preset non-standard batch is known, the measurement value under the preset standard batch can be determined according to the first correction curve.

[0085] Step S25: obtaining a second measurement value of the sample to be detected, and determining a target antibody concentration value corresponding to the second measurement value using the calibration curve and the correction curve.

[0086] In this embodiment, the target antibody concentration value corresponding to the second measurement value is determined by using the calibration curve and the correction curve, including: determining the second back-calculated measurement value corresponding to the second measurement value in the first correction curve; determining the target antibody concentration value corresponding to the second back-calculated measurement value in the calibration curve. Usually, the second measurement value of the sample to be detected is measured using a preset non-standard batch of antibody concentration detection reagents, and it is more accurate to determine that the target antibody concentration value of the sample to be detected corresponds to the reagent of the preset standard batch. Therefore, at this time, if the second measurement value is directly brought into the calibration curve to calculate the concentration value, there will be deviations due to different batches. Because the first correction curve can reflect the mapping relationship between the second reference value under the preset non-standard batch and the first back-calculated measurement value under the preset standard batch, or the deviation relationship between the second reference value under the preset non-standard batch and the first back-calculated measurement value under the preset standard batch, the second measurement value is first brought into the first correction curve, and the corresponding second back-calculated measurement value under the preset standard batch can be obtained. Then, according to the calibration curve, the target antibody concentration value under the preset standard batch can be obtained, so the target antibody concentration value obtained at this time can be more accurate.

[0087] It can be seen that because the batches of the first preset detection reagent and the second preset detection reagent are different, the first correction curve established between the second reference value and the first back-calculated measurement value can reflect the deviation relationship between the second reference value under the preset non-standard batch and the first back-calculated measurement value under the preset standard batch, so the first correction curve can correct the deviation of the calibration curve between different reagent batches, so when obtaining the second measurement value of the sample to be tested, the target antibody concentration value corresponding to the second measurement value determined by the calibration curve and the correction curve is more reliable and accurate.

[0088] See also Figure 4 As shown, the present application embodiment discloses another specific method for detecting antibody concentration, comprising:

[0089] Step S31: obtaining a first measurement value of a unified calibrator detected by a first preset detection reagent; the first preset detection reagent is an antibody concentration detection reagent of a preset non-standard batch.

[0090] In this embodiment, the first preset detection reagent is a preset non-standard batch of antibody concentration detection reagent, that is, the preset non-standard batch of antibody concentration detection reagent is used to detect the unified calibration product, so that the preset non-standard batch of antibody concentration detection reagent reacts with the unified calibration product through a preset procedure to obtain a first measurement value.

[0091] Step S32: establishing a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value.

[0092] Because the first measurement value obtained corresponds to the preset non-standard batch, the calibration curve between the actual antibody concentration value of the unified calibrator and the first measurement value also corresponds to the preset non-standard batch, that is, the calibration curve can reflect the mapping relationship between the antibody concentration value and the measurement value under the preset non-standard batch.

[0093] Step S33: Obtain a fourth measurement value of the working calibrator based on the measurement of the second preset detection reagent, and determine the fourth measurement value of the working calibrator as the first reference value of the working calibrator, and input the first reference value of the working calibrator into the calibration curve to obtain a first back-calculated concentration value of the working calibrator; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; and the second preset detection reagent is a preset standard batch of antibody concentration detection reagent.

[0094] In this embodiment, the second preset detection reagent is an antibody concentration detection reagent of a preset standard batch. Therefore, the working calibrator is detected using the antibody concentration detection reagent of the preset standard batch, so that after the antibody concentration detection reagent of the preset standard batch reacts with the working calibrator through a preset procedure, a fourth measurement value is obtained. The fourth measurement value is used as the first reference value of the working calibrator. Furthermore, the fourth measurement value of the working calibrator is input into the calibration curve to obtain the first back-calculated concentration value under the preset non-standard batch.

[0095] Step S34: Determine the actual antibody concentration value of the working calibrator as the second reference value of the working calibrator, and establish a second correction curve between the second reference value and the first back-calculated concentration value.

[0096] Because the fourth measured value is obtained under the antibody concentration test of the preset standard batch, and the relationship between the concentration value and the measured value described in the calibration curve corresponds to the preset non-standard batch, so the first back-calculated concentration value also corresponds to the preset non-standard batch, then there is a deviation between the first back-calculated concentration value and the actual antibody concentration value of the working calibrator, for example Figure 5 Another specific correction curve establishment schematic diagram is shown, which establishes a second correction curve between the second reference value and the first back-calculated concentration value. The second correction curve reflects the deviation, or in other words, the second correction curve can describe the mapping relationship between the actual concentration value and the back-calculated concentration value. When the back-calculated concentration value is determined, the corresponding actual concentration value can be determined.

[0097] Step S35: obtaining a second measurement value of the sample to be detected, and determining a target antibody concentration value corresponding to the second measurement value using the calibration curve and the correction curve.

[0098] In this embodiment, the target antibody concentration value corresponding to the second measurement value is determined by using the calibration curve and the correction curve, including: determining the second back-calculated concentration value corresponding to the second measurement value in the calibration curve; determining the target antibody concentration value corresponding to the second back-calculated concentration value in the second correction curve. The second measurement value of the sample to be detected is usually obtained based on the detection of the antibody concentration detection reagent of the preset non-standard batch. Because it is usually necessary to use the concentration value determined under the preset standard batch as the actual antibody concentration value of the sample to be detected, the second back-calculated concentration value corresponding to the second measurement value in the calibration curve is first determined. It can be understood that the second back-calculated concentration value corresponds to the preset non-standard batch. Since the second correction curve reflects the mapping relationship between the concentration value under the preset non-standard batch and the concentration value under the preset standard batch, the second back-calculated concentration value is brought into the second correction curve, and the antibody concentration value under the preset standard batch can be determined, that is, the actual antibody concentration value of the sample to be detected.

[0099] It can be seen that the calibration curve of the present application reflects the mapping relationship between the antibody concentration value and the measured value under the preset non-standard batch, and the second correction curve reflects the mapping relationship between the concentration value under the preset non-standard batch and the concentration value under the preset standard batch. Therefore, when determining the second measured value of the sample to be tested, the calibration curve and the second correction curve can be used to determine the antibody concentration value under the preset standard batch, and the target antibody concentration value of the sample to be tested is determined more accurately. The correction curve can significantly improve the accuracy and stability of antibody concentration detection.

[0100] See also Figure 6 As shown, the embodiment of the present application discloses an antibody concentration detection device, comprising:

[0101] A measurement value acquisition module 11, used to acquire a first measurement value of a unified calibrator detected by a first preset detection reagent;

[0102] A calibration curve establishing module 12, used to establish a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value;

[0103] A correction curve establishing module 13 is used to obtain a first reference value or a second reference value of a working calibrator detected by a second preset detection reagent, input the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establish a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different;

[0104] The antibody concentration determination module 14 is used to obtain a second measurement value of the sample to be detected, and determine a target antibody concentration value corresponding to the second measurement value by using the calibration curve and the correction curve.

[0105] The beneficial effects of the present application are as follows: the present application obtains a first measurement value of a unified calibrator detected based on a first preset detection reagent; establishes a calibration curve between the actual antibody concentration value of the unified calibrator and the first measurement value; obtains a first reference value or a second reference value of a working calibrator detected based on a second preset detection reagent, inputs the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishes a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; obtains a second measurement value of the sample to be detected, and uses the calibration curve and the correction curve to determine the target antibody concentration value corresponding to the second measurement value. It can be seen that the first measurement value of the unified calibrator of the present application is obtained based on the detection of the first preset detection reagent, and a calibration curve is established between the actual antibody concentration value of the unified calibrator and the first measurement value. That is to say, the calibration curve corresponds to the batch of the first preset detection reagent. Next, the first reference value or the second reference value of the working calibrator based on the detection of the second preset detection reagent is obtained, and the first reference value is input into the calibration curve to obtain the back-calculated value of the working calibrator, and a correction curve between the second reference value and the back-calculated value is established. Because the batches of the first preset detection reagent and the second preset detection reagent are different, it can be seen that the correction curve can correct the deviation of the calibration curve between different reagent batches. Therefore, when the second measurement value of the sample to be detected is obtained, the target antibody concentration value corresponding to the second measurement value determined by the calibration curve and the correction curve is more reliable and more accurate, and the correction curve significantly improves the accuracy and stability of antibody concentration detection.

[0106] Furthermore, an embodiment of the present application also provides an electronic device. Figure 7 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0107] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Specifically, it may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the following steps:

[0108] Obtaining a first measurement value of a unified calibrator detected by a first preset detection reagent;

[0109] Establishing a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value;

[0110] Obtaining a first reference value or a second reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different;

[0111] A second measurement value of the sample to be detected is obtained, and the target antibody concentration value corresponding to the second measurement value is determined using the calibration curve and the correction curve.

[0112] In some specific implementations, the processor can implement the following steps by executing the computer program stored in the memory:

[0113] The first preset detection reagent is a preset standard batch of antibody concentration detection reagent, and the second preset detection reagent is a preset non-standard batch of antibody concentration detection reagent;

[0114] Accordingly, obtaining a second reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value of the working calibrator into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value and the back-calculated value, including:

[0115] Determining the actual antibody concentration value of the working calibrator as a first reference value of the working calibrator, and inputting the first reference value into the calibration curve to obtain a first back-calculated measurement value of the working calibrator;

[0116] A third measurement value of the working calibrator measured based on a second preset detection reagent is obtained, and the third measurement value is determined as a second reference value of the working calibrator, and a first correction curve between the second reference value and the first back-calculated measurement value is established.

[0117] In some specific implementations, the processor can implement the following steps by executing the computer program stored in the memory:

[0118] Determining a second back-calculated measurement value corresponding to the second measurement value in the first correction curve;

[0119] The target antibody concentration value corresponding to the second back-calculated measurement value in the calibration curve is determined.

[0120] In some specific implementations, the processor can implement the following steps by executing the computer program stored in the memory:

[0121] The first preset detection reagent is a preset non-standard batch of antibody concentration detection reagent, and the second preset detection reagent is a preset standard batch of antibody concentration detection reagent;

[0122] Correspondingly, obtaining a first reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value of the working calibrator and the back-calculated value, including:

[0123] Obtaining a fourth measurement value of the working calibrator measured based on the second preset detection reagent, determining the fourth measurement value of the working calibrator as a first reference value of the working calibrator, and inputting the first reference value of the working calibrator into the calibration curve to obtain a first back-calculated concentration value of the working calibrator;

[0124] The actual antibody concentration value of the working calibrator is determined as a second reference value of the working calibrator, and a second correction curve between the second reference value and the first back-calculated concentration value is established.

[0125] In some specific implementations, the processor can implement the following steps by executing the computer program stored in the memory:

[0126] determining a second back-calculated concentration value corresponding to the second measured value in the calibration curve;

[0127] A target antibody concentration value corresponding to the second back-calculated concentration value in the second correction curve is determined.

[0128] In some specific implementations, the processor can implement the following steps by executing the computer program stored in the memory:

[0129] The measured value is the parameter value after the antibody concentration detection reagent reacts with the target object through a preset procedure; wherein, the target object is the unified calibrator, the working calibrator, and the sample to be detected.

[0130] In some specific implementations, the processor may further include the following steps by executing the computer program stored in the memory:

[0131] The function types of the calibration curve include linear function types, multi-parameter function types, S-curve types, spline function types, and polynomial function types. The coordinate transformation methods of the calibration curve include linear-linear transformation methods, log-log transformation methods, linear-log transformation methods, and log-linear transformation methods.

[0132] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device; the communication interface 24 can create a data transmission channel between the electronic device and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0133] Among them, the processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 21 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 21 may also include an AI (Artificial Intelligence) processor, which is used to process computing operations related to machine learning.

[0134] In addition, the memory 22, as a carrier for storing resources, can be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon include an operating system 221, a computer program 222 and data 223, etc. The storage method can be temporary storage or permanent storage.

[0135] Among them, the operating system 221 is used to manage and control the hardware devices and computer programs 222 on the electronic device to realize the operation and processing of the processor 21 on the massive data 223 in the memory 22, which can be Windows, Unix, Linux, etc. In addition to including a computer program that can be used to complete the antibody concentration detection method performed by the electronic device disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks. In addition to data received by the electronic device and transmitted from an external device, the data 223 can also include data collected by its own input and output interface 25, etc.

[0136] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the antibody concentration detection method disclosed above is implemented. The specific steps of the method can refer to the corresponding contents disclosed in the above embodiments, and will not be repeated here.

[0137] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0138] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application. The steps of the method or algorithm described in conjunction with the embodiments disclosed herein can be implemented directly with hardware, a software module executed by a processor, or a combination of the two. The software module can be placed in a random access memory (RAM), memory, read-only memory (ROM), electrically programmable EPROM (Erasable Programmable Read Only Memory), electrically erasable programmable EEPROM (Electrically Erasable Programmable read only memory), register, hard disk, removable disk, CD-ROM (Compact Disc Read-Only Memory), or any other form of storage medium known in the technical field.

[0139] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0140] The above is a detailed introduction to an antibody concentration detection method, device, equipment and medium provided by the present invention. Specific examples are used herein to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for a person skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for detecting antibody concentration, characterized in that: include: Obtaining a first measurement value of a unified calibrator detected by a first preset detection reagent; Establishing a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value; Obtaining a first reference value or a second reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; A second measurement value of the sample to be detected is obtained, and the target antibody concentration value corresponding to the second measurement value is determined using the calibration curve and the correction curve.

2. The method for detecting antibody concentration according to claim 1, characterized in that: The first preset detection reagent is a preset standard batch of antibody concentration detection reagent, and the second preset detection reagent is a preset non-standard batch of antibody concentration detection reagent; Accordingly, obtaining a second reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value of the working calibrator into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value and the back-calculated value, including: Determining the actual antibody concentration value of the working calibrator as a first reference value of the working calibrator, and inputting the first reference value into the calibration curve to obtain a first back-calculated measurement value of the working calibrator; A third measurement value of the working calibrator measured based on a second preset detection reagent is obtained, and the third measurement value is determined as a second reference value of the working calibrator, and a first correction curve between the second reference value and the first back-calculated measurement value is established.

3. The method for detecting antibody concentration according to claim 2, characterized in that: The method of using the calibration curve and the correction curve to determine the target antibody concentration value corresponding to the second measured value includes: Determining a second back-calculated measurement value corresponding to the second measurement value in the first correction curve; The target antibody concentration value corresponding to the second back-calculated measurement value in the calibration curve is determined.

4. The method for detecting antibody concentration according to claim 1, characterized in that: The first preset detection reagent is a preset non-standard batch of antibody concentration detection reagent, and the second preset detection reagent is a preset standard batch of antibody concentration detection reagent; Correspondingly, obtaining a first reference value of a working calibrator detected by a second preset detection reagent, inputting the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establishing a correction curve between the second reference value of the working calibrator and the back-calculated value, including: Obtaining a fourth measurement value of the working calibrator measured based on the second preset detection reagent, determining the fourth measurement value of the working calibrator as a first reference value of the working calibrator, and inputting the first reference value of the working calibrator into the calibration curve to obtain a first back-calculated concentration value of the working calibrator; The actual antibody concentration value of the working calibrator is determined as a second reference value of the working calibrator, and a second correction curve between the second reference value and the first back-calculated concentration value is established.

5. The method for detecting antibody concentration according to claim 4, characterized in that: The method of using the calibration curve and the correction curve to determine the target antibody concentration value corresponding to the second measured value includes: determining a second back-calculated concentration value corresponding to the second measured value in the calibration curve; A target antibody concentration value corresponding to the second back-calculated concentration value in the second correction curve is determined.

6. The method for detecting antibody concentration according to any one of claims 1 to 5, characterized in that: The measured value is the parameter value after the antibody concentration detection reagent reacts with the target object through a preset procedure; wherein, the target object is the unified calibrator, the working calibrator, and the sample to be detected.

7. The method for detecting antibody concentration according to claim 1, characterized in that: The function types of the calibration curve include linear function types, multi-parameter function types, S-curve types, spline function types, and polynomial function types. The coordinate transformation methods of the calibration curve include linear-linear transformation methods, log-log transformation methods, linear-log transformation methods, and log-linear transformation methods.

8. An antibody concentration detection device, characterized in that: include: A measurement value acquisition module, used to acquire a first measurement value of a unified calibrator detected by a first preset detection reagent; A calibration curve establishment module, used to establish a calibration curve between the actual antibody concentration value of the unified calibrator and the first measured value; A correction curve establishment module, used to obtain a first reference value or a second reference value of a working calibrator detected by a second preset detection reagent, input the first reference value into the calibration curve to obtain a back-calculated value of the working calibrator, and establish a correction curve between the second reference value and the back-calculated value; wherein the batches of the first preset detection reagent and the second preset detection reagent are different; The antibody concentration determination module is used to obtain a second measurement value of the sample to be detected, and determine a target antibody concentration value corresponding to the second measurement value using the calibration curve and the correction curve.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the steps of the antibody concentration detection method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program; wherein, when the computer program is executed by a processor, the steps of the antibody concentration detection method according to any one of claims 1 to 7 are implemented.

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