Glycosylated hemoglobin detection method and device and electronic equipment

Abstract

The invention relates to a glycosylated hemoglobin detection method, a glycosylated hemoglobin detection device and electronic equipment, and relates to the technical field of medical detection, the method in one embodiment comprises the following steps: obtaining a chromatogram signal obtained by performing signal detection on a sample, and determining a plurality of candidate peaks based on a local maximum value in the chromatogram signal; identifying a peak of glycosylated hemoglobin and a peak of a hemoglobin variant from the plurality of candidate peaks; determining the initial content of the glycosylated hemoglobin based on the first peak area of the peak of the glycosylated hemoglobin and the total area of the candidate peaks; determining the content of the hemoglobin variant based on the second peak area of the peak of the hemoglobin variant and the total area of the candidate peaks; and correcting the initial content of the glycosylated hemoglobin based on the content of the hemoglobin variant to obtain the corrected content of the glycosylated hemoglobin. By adopting the scheme of the embodiment, the detection accuracy of the glycosylated hemoglobin is improved.

Description

Technical Field

[0001] The present application relates to the field of medical detection technology, and in particular to a method for detecting glycated hemoglobin, a device for detecting glycated hemoglobin, an electronic device, a computer-readable storage medium, and a computer program product. Background Art

[0002] In the field of medical testing technology, glycated hemoglobin (HbA1c) is a core indicator for diabetes diagnosis and blood sugar control. The more accurate the HbA1c test results, the more accurate the decision-making basis for diabetes diagnosis and blood sugar control. The main method for testing HbA1c is high-performance liquid chromatography (HPLC). HPLC separates hemoglobin components through ion exchange chromatography and distinguishes HbA1c from other hemoglobins (such as HbA0 and HbF) based on charge differences.

[0003] However, this detection method is prone to interference from hemoglobin variants, resulting in deviations in the test results. There is a need to further improve the detection accuracy of glycated hemoglobin HbA1c. Summary of the Invention

[0004] Based on this, it is necessary to provide a method for detecting glycated hemoglobin, a glycated hemoglobin detection device, a chemical analyzer, an electronic device, a computer-readable storage medium and a computer program product that can improve the detection accuracy of glycated hemoglobin HbA1c in order to address the above technical problems.

[0005] In a first aspect, the present application provides a method for detecting glycated hemoglobin, the method comprising:

[0006] Acquiring a chromatogram signal obtained by performing signal detection on the sample, and determining a plurality of candidate peaks based on a local maximum value in the chromatogram signal;

[0007] Identifying the peak of glycated hemoglobin and the peak of hemoglobin variants from multiple candidate peaks;

[0008] determining the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak; determining the content of the hemoglobin variant based on the second peak area and the total area of ​​the hemoglobin variant peak;

[0009] The initial glycated hemoglobin level is corrected based on the level of hemoglobin variants to obtain a corrected glycated hemoglobin level.

[0010] The method for detecting glycated hemoglobin based on this embodiment, after obtaining a chromatogram signal and determining multiple candidate peaks from the chromatogram signal, identifies the peak of glycated hemoglobin and the peak of hemoglobin variants from the multiple candidate peaks, and after obtaining the initial content of glycated hemoglobin and the content of hemoglobin variants based on this, corrects the initial content of glycated hemoglobin by the content of hemoglobin variants to obtain a corrected content of glycated hemoglobin. This corrected content is an accurate content of glycated hemoglobin. Since, in the process of determining the content of glycated hemoglobin, the interference of hemoglobin variants on glycated hemoglobin is taken into account, and the initial content of glycated hemoglobin is corrected accordingly, the corrected content of glycated hemoglobin finally obtained is obtained on the basis of overcoming the influence of hemoglobin variants on glycated hemoglobin, thereby improving the accuracy of the obtained content of glycated hemoglobin, and thereby improving the detection accuracy of glycated hemoglobin. Moreover, in this process, the initial content of glycated hemoglobin is corrected by the content of hemoglobin variants to obtain the accurate content of glycated hemoglobin, without the need for re-testing by other means, which further improves the detection efficiency and reduces the detection cost.

[0011] In some embodiments, identifying a peak of glycated hemoglobin and a peak of a hemoglobin variant from a plurality of candidate peaks comprises:

[0012] Determine the starting point and ending point of the peak window of each candidate peak, where the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak;

[0013] Determine the symmetry of the peak curve corresponding to each candidate peak;

[0014] Based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, the peak of glycated hemoglobin is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the peak of the hemoglobin variant is determined.

[0015] Based on this embodiment, in the process of identifying the peaks of glycated hemoglobin and the peaks of hemoglobin variants, after determining the starting point and the ending point of the peak window for each candidate peak, the symmetry of the peak curve corresponding to each candidate peak is determined, and based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, the peak of glycated hemoglobin is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the peak of the hemoglobin variant is determined. Therefore, based on the difference in symmetry between the peak of glycated hemoglobin and the peak of the hemoglobin variant, combined with the first theoretical retention time range of glycated hemoglobin and the second theoretical retention time range of the hemoglobin variant, the peaks of glycated hemoglobin and the peaks of the hemoglobin variant can be accurately identified. On the basis of accurately identifying the peaks of glycated hemoglobin and the peaks of the hemoglobin variant, it helps to further improve the accuracy of the glycated hemoglobin content determined based on the peaks of glycated hemoglobin and the peaks of the hemoglobin variant.

[0016] In a second aspect, the present application provides a method for detecting glycated hemoglobin, the method comprising:

[0017] Acquiring a chromatogram signal obtained by performing signal detection on the sample, and determining a plurality of candidate peaks based on a local maximum value in the chromatogram signal;

[0018] Determine the starting point and ending point of the peak window of each candidate peak, where the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak;

[0019] Determine the symmetry of the peak curve corresponding to each candidate peak;

[0020] Based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, the peak of glycated hemoglobin is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the peak of the hemoglobin variant is determined.

[0021] The method for detecting glycated hemoglobin according to this embodiment, after obtaining a chromatogram signal and determining a plurality of candidate peaks from the chromatogram signal, identifies the glycated hemoglobin peak and the hemoglobin variant peak from the plurality of candidate peaks. For each candidate peak, after determining the starting point and ending point of its peak window, the symmetry of the peak curve corresponding to each candidate peak is determined, and based on the symmetry of each candidate peak within the first theoretical retention time range of the glycated hemoglobin, the glycated hemoglobin peak is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the glycated hemoglobin peak is identified. The symmetry of the glycated hemoglobin peaks and the peaks of the hemoglobin variants can be determined. Based on the difference in symmetry between the glycated hemoglobin peak and the hemoglobin variant peaks, combined with the first theoretical retention time range of glycated hemoglobin and the second theoretical retention time range of the hemoglobin variants, the glycated hemoglobin peak and the hemoglobin variant peaks can be accurately identified. This accurate identification of the glycated hemoglobin peak and the hemoglobin variant peaks further enhances the accuracy of the glycated hemoglobin content determined based on the glycated hemoglobin peak and the hemoglobin variant peaks. Furthermore, in this process, the glycated hemoglobin peak and the hemoglobin variant peak can be accurately identified without the need for retesting using other methods, further improving detection efficiency and reducing detection costs.

[0022] In some embodiments, determining the symmetry of the peak curve corresponding to each candidate peak includes:

[0023] Calculating the maximum slope of a first side curve and the minimum slope of a second side curve of the candidate peak, where the first side curve is a curve between the peak height of the candidate peak and the starting point of the candidate peak, and the second side curve is a curve between the peak height of the candidate peak and the ending point of the candidate peak;

[0024] Based on the maximum slope and the minimum slope, the symmetry of the peak curve corresponding to the candidate peak is obtained.

[0025] Based on this embodiment, when determining the symmetry of the peak curve corresponding to each candidate peak, after obtaining the maximum slope of the first side curve between the peak height point and the starting point of the candidate peak, and the minimum slope of the second side curve between the peak height point and the ending point of the candidate peak, the symmetry is determined by combining the maximum slope and the minimum slope. Since the maximum slope reflects the maximum rate of change in the process of increasing from the starting point of the candidate peak to the peak height point of the candidate peak, and the minimum slope reflects the maximum rate of change in the process of decreasing from the peak height point of the candidate peak to the ending point of the candidate peak, the maximum slope and the minimum slope can be combined to characterize or determine the symmetry of the peak curve corresponding to the candidate peak, thereby improving the accuracy of the symmetry of the determined peak curve of the candidate peak.

[0026] In some embodiments, obtaining the symmetry of the peak curve corresponding to the candidate peak based on the maximum slope and the minimum slope includes:

[0027] The ratio of the absolute value of the maximum slope to the absolute value of the minimum slope is used as the symmetry of the peak curve corresponding to the candidate peak; or

[0028] The absolute value of the ratio of the maximum slope to the minimum slope is taken as the symmetry of the peak curve corresponding to the candidate peak.

[0029] Based on this embodiment, since the maximum slope reflects the maximum rate of change in the process of increasing from the starting point of the candidate peak to the candidate peak, and the minimum slope reflects the maximum rate of change in the process of decreasing from the candidate peak to the end point of the candidate peak, when the candidate peak is completely symmetrical, the absolute values ​​of the maximum slope and the minimum slope should be the same, but in opposite directions. Therefore, the symmetry of the peak curve of the candidate peak can be evaluated based on the ratio of the absolute value of the maximum slope to the absolute value of the minimum slope, or the absolute value of the ratio of the maximum slope to the minimum slope.

[0030] In some embodiments, determining the symmetry of the peak curve corresponding to each candidate peak includes:

[0031] The symmetry of the peak curves corresponding to the candidate peaks within the first theoretical retention time range and the second theoretical retention time range is determined.

[0032] Based on this, when determining the symmetry of the peak curve corresponding to each candidate peak, the symmetry of the peak curve can be determined only for each candidate peak within the first theoretical retention time range and the second theoretical retention time range. Therefore, the symmetry of the peak curve can be determined only for the candidate peak within part of the time range, which helps to improve the detection processing efficiency.

[0033] In some embodiments, identifying a peak of glycated hemoglobin based on the symmetry of candidate peaks within a first theoretical retention time range of glycated hemoglobin, and determining a peak of a hemoglobin variant based on the symmetry of candidate peaks within a second theoretical retention time range of the hemoglobin variant comprises:

[0034] The candidate peak with the smallest difference between its symmetry and 1 within the first theoretical retention time range is determined to be the peak of glycated hemoglobin.

[0035] Since the peak of glycated hemoglobin is approximately Gaussian distributed, the candidate peak with the smallest difference between its symmetry and 1 within the first theoretical retention time range, that is, the peak with symmetry closest to 1, can be determined as the peak of glycated hemoglobin, thereby achieving accurate identification of the glycated hemoglobin peak.

[0036] In some embodiments, the hemoglobin variant includes a hemoglobin variant HbJ, identifying a peak of glycated hemoglobin based on the symmetry of each candidate peak within a first theoretical retention time range of glycated hemoglobin, and determining a peak of the hemoglobin variant based on the symmetry of each candidate peak within a second theoretical retention time range of the hemoglobin variant comprises:

[0037] The candidate peak with a symmetry greater than 1 within the second theoretical retention time range corresponding to the hemoglobin variant HbJ is determined as the peak of the hemoglobin variant HbJ.

[0038] Since the peak of the hemoglobin variant HbJ has the characteristic of being steep at the beginning and slow at the end during gradient elution, that is, an asymmetric tailing peak appears at the beginning, therefore, within the second theoretical retention time range corresponding to the hemoglobin variant HbJ, the candidate peak with a symmetry greater than 1 can be determined as the hemoglobin variant HbJ, thereby achieving accurate identification of the peak of the hemoglobin variant HbJ.

[0039] In some embodiments, determining the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak comprises:

[0040] The ratio of the first peak area to the total area was determined as the initial content of glycated hemoglobin.

[0041] Since in the chromatogram, the peak area can be determined based on the integral value of the peak height (signal intensity) and the retention time (peak width) in the chromatogram, and the signal intensity is linearly related to the concentration of the component, the ratio of the first peak area of ​​the glycated hemoglobin peak to the peak area of ​​each candidate peak can be used as the glycated hemoglobin content, and this content can be used as the calculated initial content of glycated hemoglobin.

[0042] In some embodiments, determining the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak comprises:

[0043] The amount of the hemoglobin variant is determined based on the second peak area and the total area of ​​the hemoglobin variant peak, including:

[0044] The ratio of the second peak area to the total area is determined as the content of the hemoglobin variant Hb.

[0045] Since the peak area in the chromatogram can be determined based on the integrated value of the peak height (signal intensity) and retention time (peak width) in the chromatogram, and the signal intensity is linearly related to the concentration of the component, the ratio of the second peak area of ​​the hemoglobin variant peak to the peak area of ​​each candidate peak can be used as the content of the hemoglobin variant.

[0046] In some embodiments, correcting the initial glycated hemoglobin level based on the level of hemoglobin variants to obtain the corrected glycated hemoglobin level comprises:

[0047] Based on the relationship between the interference coefficient and the content of the hemoglobin variant, the current interference coefficient is determined according to the obtained content of the hemoglobin variant;

[0048] Based on the current interference coefficient and the content of hemoglobin variants, the initial content of glycated hemoglobin is corrected to obtain the corrected content of glycated hemoglobin.

[0049] Since hemoglobin variants will interfere with the determination of glycated hemoglobin when they appear, and the greater the content of hemoglobin variants, the greater the degree of interference with glycated hemoglobin, the current interference coefficient of the current detection process can be determined based on the relationship between the interference coefficient and the content of hemoglobin variants, combined with the currently determined content of hemoglobin variants, and the initial content of glycated hemoglobin can be corrected using the interference coefficient combined with the content of hemoglobin variants, thereby achieving accurate correction of the initial content of glycated hemoglobin and improving the accuracy of the corrected content of glycated hemoglobin.

[0050] In some embodiments, correcting the initial glycated hemoglobin level based on the current interference coefficient and the level of hemoglobin variants to obtain the corrected glycated hemoglobin level comprises:

[0051] The difference between the initial glycated hemoglobin content and the product of the current interference coefficient and the content of the hemoglobin variant is subtracted to obtain the corrected glycated hemoglobin content.

[0052] Accordingly, when correcting the initial content of glycated hemoglobin, the difference between the initial content of glycated hemoglobin and the product of the current interference coefficient and the content of hemoglobin variants is subtracted to obtain the corrected content of glycated hemoglobin. Since when hemoglobin variants interfere with glycated hemoglobin, it is usually easy to identify the signals of some hemoglobin variants as signals of glycated hemoglobin, therefore, by subtracting the product of the current interference coefficient and the content of hemoglobin variants, the interference of hemoglobin variants can be subtracted, thereby improving the accuracy of the corrected content of glycated hemoglobin.

[0053] In some embodiments, the hemoglobin variant includes the hemoglobin variant HbJ, and the relationship between the interference coefficient and the content of the hemoglobin variant HbJ includes:

[0054]

[0055] Where k is the interference coefficient, a is the maximum theoretical deviation of the measured value of glycated hemoglobin when the content of hemoglobin variant HbJ is infinite, b is a constant, and C HbJ is the content of hemoglobin variant HbJ.

[0056] In a third aspect, the present application further provides a device for detecting glycated hemoglobin, the device comprising:

[0057] a signal acquisition module, configured to acquire a chromatogram signal obtained by performing signal detection on the sample, and determine a plurality of candidate peaks based on a local maximum value in the chromatogram signal;

[0058] A peak identification module, for identifying a peak of glycated hemoglobin and a peak of a hemoglobin variant from a plurality of candidate peaks;

[0059] a content calculation module, configured to determine the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak; and to determine the content of the hemoglobin variant based on the second peak area and the total area of ​​the hemoglobin variant peak;

[0060] The correction module is used to correct the initial content of glycated hemoglobin based on the content of hemoglobin variants to obtain the corrected content of glycated hemoglobin.

[0061] In a fourth aspect, the present application further provides a device for detecting glycated hemoglobin, the device comprising:

[0062] a signal acquisition module, configured to acquire a chromatogram signal obtained by performing signal detection on the sample, and determine a plurality of candidate peaks based on a local maximum value in the chromatogram signal;

[0063] A peak window determination module is used to determine the starting point and ending point of the peak window of each candidate peak, where the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak;

[0064] A symmetry determination module, used to determine the symmetry of the peak curve corresponding to each candidate peak;

[0065] The identification and determination module is used to identify the peak of glycated hemoglobin based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, and to determine the peak of the hemoglobin variant based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant.

[0066] In a fifth aspect, the present application further provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method in any of the above embodiments when executing the computer program.

[0067] In a sixth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method in any of the above-described embodiments.

[0068] In a seventh aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method in any of the above embodiments.

[0069] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 Schematic diagram of the application environment of the method for detecting glycated hemoglobin in one embodiment;

[0071] Figure 2 Schematic diagram of a process for detecting glycated hemoglobin in one embodiment;

[0072] Figure 3 FIG1 is a schematic diagram of a process for determining the peak of glycated hemoglobin and the peak of hemoglobin variants in one embodiment;

[0073] Figure 4 is a schematic flow chart of a method for detecting glycated hemoglobin in another embodiment;

[0074] Figure 5 FIG1 is a schematic diagram of a process for determining the symmetry of a peak curve in one embodiment;

[0075] Figure 6 is a schematic diagram of a glycated hemoglobin peak and a hemoglobin variant peak in a specific example;

[0076] Figure 7 FIG1 is a schematic diagram of a process for correcting the initial content of glycated hemoglobin in one embodiment;

[0077] Figure 8 The figure is a flow chart of a method for detecting glycated hemoglobin in a specific example;

[0078] Figure 9 is a structural block diagram of a device for detecting glycated hemoglobin in one embodiment;

[0079] Figure 10 is a structural block diagram of a device for detecting glycated hemoglobin in another embodiment;

[0080] Figure 11 FIG. 1 is a diagram showing the internal structure of an electronic device in one embodiment. DETAILED DESCRIPTION

[0081] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0082] The following embodiments of the technical solution of the present application will be described in detail with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present application and are therefore only examples and are not intended to limit the scope of protection of the present application.

[0083] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0084] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0085] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0086] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0087] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0088] Currently, in the medical technology field, HbA1c testing is susceptible to interference from hemoglobin variants. For example, hemoglobin variants such as HbJ and HbD are located adjacent to the chromatographic peak of HbA1c, resulting in false decreases or increases. Another example is the hemoglobin variant HbJ-Bangkok, which can co-elute with HbA1c, causing bias in test results.

[0089] To address the interference of hemoglobin variants, fixed time window integration and static baseline correction have been used. However, this method cannot adapt to baseline drift (such as temperature fluctuation or column efficiency attenuation) and high-frequency noise (such as electrical interference), which can lead to peak identification errors in low signal-to-noise ratio areas. Moreover, when abnormal peaks are detected, re-inspection by capillary electrophoresis or mass spectrometry is required, which prolongs the detection cycle from several minutes to several hours, increasing the detection cost.

[0090] Research has found that the concentration of hemoglobin variants can affect detection bias, which in turn affects the accuracy of HbA1c measurements. Therefore, this bias can be used to address the interference of hemoglobin variants and improve HbA1c measurement accuracy. Furthermore, the accuracy of identified HbA1c peaks and hemoglobin variant peaks also affects HbA1c measurement accuracy. Therefore, improving the accuracy of HbA1c peaks and hemoglobin variant peaks can improve HbA1c measurement accuracy.

[0091] Accordingly, the present invention provides a method for detecting glycated hemoglobin. The method for detecting glycated hemoglobin provided by the present invention can be applied to Figure 1In the application environment shown. The terminal 102 communicates with the server 104 via a network. In some embodiments, the terminal 102 obtains a chromatogram signal obtained by performing signal detection on the sample, and obtains the content of glycated hemoglobin on this basis, or identifies the peak of glycated hemoglobin and the peak of hemoglobin variants from the chromatogram signal. In other embodiments, the server 104 may obtain a chromatogram signal obtained by performing signal detection on the sample, and obtain the content of glycated hemoglobin on this basis, or identify the peak of glycated hemoglobin and the peak of hemoglobin variants from the chromatogram signal. In other embodiments, the content of glycated hemoglobin can be obtained based on the chromatogram signal, or the peak of glycated hemoglobin and the peak of hemoglobin variants can be identified from the chromatogram signal through interaction between the terminal 102 and the server 104. For example, after the terminal 102 obtains the chromatogram signal, it transmits the chromatogram signal to the server 104. The server 104 obtains the content of glycated hemoglobin based on the chromatogram signal, or identifies the peak of glycated hemoglobin and the peak of hemoglobin variants from the chromatogram signal, and feeds back the obtained results to the terminal 102.

[0092] Among them, the terminal 102 can be but is not limited to various chemical analyzers, computing and processing equipment connected to chemical analyzers, personal computers, laptops, smart phones, tablet computers and portable wearable devices, and the server 104 can be implemented as an independent server or a server cluster consisting of multiple servers.

[0093] This application scenario may also involve a data storage system, which can store data related to glycated hemoglobin testing, or data that needs to be applied or processed during the glycated hemoglobin testing process, such as the first theoretical retention time range of glycated hemoglobin, the second theoretical retention time range of hemoglobin variants, the relationship between the interference coefficient and the content of hemoglobin variants, etc. The data storage system can be integrated on a server, placed on a cloud or other network server, or set up in other storage devices, as long as the terminal 102 or server 104 can obtain this data from it.

[0094] In some embodiments, as Figure 2 As shown, a method for detecting glycated hemoglobin is provided. The method is described by taking the application of the terminal 102 or the server 104 as described above as an example, and includes the following steps:

[0095] Step S201: Acquire a chromatogram signal obtained by performing signal detection on a sample, and determine a plurality of candidate peaks based on local maxima in the chromatogram signal.

[0096] The chromatogram signal is a graph signal derived from chromatographic detection data. Chromatographic detection data is data obtained from a chromatograph detector and includes a record of signal intensity over time, typically including reaction time and corresponding signal intensity. The obtained chromatographic detection data may include multiple sets of corresponding reaction times and signal intensities. Based on these multiple sets of reaction time and signal intensity detection data, a detection curve representing the relationship between reaction time and signal intensity can be obtained, and this curve is included in the chromatogram signal.

[0097] Among them, the reaction time is the reaction time of the reaction liquid, which can be the detection time of the chromatograph detector. In some specific examples, it can be a record of the detection time after the chromatograph detector starts detection, or it can be a record of the detection time after the chromatograph detector starts detection after receiving an instruction to start detection or other signal.

[0098] Signal intensity is the intensity of the signal detected based on the reaction of the reaction liquid during the reaction process. The signal usually comes from the detector's response to the various components in the reaction liquid sample. Among them, when the detector is performing detection, the output may be an analog signal, so the analog signal needs to be converted into a digital signal through an analog-to-digital converter (ADC) so that the digital system can process and analyze it. The ADC captures the signal at a specific time interval through a sampling step, and then temporarily stabilizes these sampled values ​​through a holding circuit. The sampled analog signal voltage value is then mapped to a discrete digital level. This process is called quantization, and its accuracy is determined by the resolution of the ADC. The higher the resolution, the finer the digitization of the signal.

[0099] Taking a chromatogram curve as an example, in the chromatogram curve, the horizontal axis may represent time, while the vertical axis represents the response signal of the detector.

[0100] The type of signal is not limited. In some embodiments, the type of the response signal may include absorbance.

[0101] After obtaining the discretized digital signal, further filtering may be performed to remove noise interference, such as removing extreme value interference, and subsequent processing may be performed on the filtered chromatogram signal.

[0102] Noise can arise from voltage stability, detector accuracy, sample contamination, and accessory debris. A sliding weighted average filter based on a normal distribution can effectively smooth out subtle signal fluctuations and eliminate the impact of noise on subsequent peak identification. The filtering process begins by sliding a window containing a certain number of data points across the signal. As the window slides across the signal, it performs a weighted average filter on the n data points within the window, using weights from a normal distribution. This eliminates extreme value interference and ensures that the filtered signal is both smooth and retains its original characteristics.

[0103] Among them, when removing the weighted average filter, it can be done on the basis of removing extreme values. Specifically, first determine the maximum and minimum values ​​in the window, and then remove these extreme values ​​from the data points in the window. The number of extreme values ​​removed is m, and m can be set according to actual needs. After removing the extreme values, only the remaining data points are subjected to weighted average filtering based on the weights of the normal distribution. In this way, the output value of each window position is the average value under the normal distribution weight with the extreme values ​​removed. As the window moves along the signal, this process will be repeated to generate a new data sequence. Each point in this sequence is the value of the corresponding window data point in the original signal after weighted average removal of extreme values ​​based on the weights of the normal distribution.

[0104] A chromatographic peak is a protruding portion on the curve generated by a continuous signal in response to a component flowing through a detector. Therefore, by searching and determining the local maximum value in the chromatogram signal, the peak in the chromatographic monitoring data can be identified. In the embodiment of the present application, the peak obtained based on the local maximum value is recorded as a candidate peak.

[0105] Step S202: Identify the peak of glycated hemoglobin and the peak of hemoglobin variants from multiple candidate peaks.

[0106] The peak of glycated hemoglobin HbA1c refers to a curve showing the change in response signal generated by the detector over time when glycated hemoglobin HbA1c flows through the chromatographic column and enters the detector.

[0107] The peak of a hemoglobin variant is a curve showing the response signal generated by the detector as the hemoglobin variant flows through the chromatographic column and enters the detector. Some possible hemoglobin variants include HbJ, HbD, HbJ-Bangkok, etc.

[0108] Step S203: Determine the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak; determine the content of the hemoglobin variant based on the second peak area of ​​the hemoglobin variant peak and the total area of ​​each candidate peak.

[0109] The peak area of ​​a chromatographic peak refers to the area enclosed by the peak and the baseline in a chromatogram. It reflects the total detector response to a component and is proportional to the component's concentration or content. In this example, the area of ​​the glycated hemoglobin (HbA1c) peak is denoted as the first peak area, and the area of ​​the hemoglobin variant peak is denoted as the second peak area.

[0110] There is no limit to the method of obtaining the peak area of ​​the chromatographic peak. In some examples, the peak area of ​​the peak can be calculated by integration. Specifically, the integration can be performed based on the chromatographic peak interval between the starting point and the end point of the chromatographic peak, where the starting point of the chromatographic peak is the trough between the chromatographic peak and the adjacent previous chromatographic peak, and the end point of the chromatographic peak is the trough between the chromatographic peak and the adjacent next chromatographic peak.

[0111] When calculating the area of ​​a chromatographic peak, the interval between the starting point and the end point of the chromatographic peak is used as the integration interval for peak area calculation. Within this integration interval, the continuous data points of the chromatographic peak are connected in chronological order to form a broken line. The sum of the areas of the trapezoids formed by each line segment and the baseline is calculated. The sum of the areas of the trapezoids is used as the integration result, and the area below the baseline is deducted from the integration result to obtain the area of ​​the chromatographic peak, which can be expressed as follows:

[0112]

[0113] Among them, y i is the signal value of the peak area, y 基线i is the baseline value of the corresponding peak area, and Δt is the sampling time interval.

[0114] The baseline can be the line of the time coordinate axis where the time point is located. In some embodiments of the present application, the mean of the first n sampling points and the mean of the last n sampling points of the chromatographic peak can be connected as the baseline to avoid inaccurate area calculation due to baseline lift, thereby improving the accuracy of peak area calculation.

[0115] Step S204: Correcting the initial glycated hemoglobin content based on the content of the hemoglobin variant to obtain a corrected glycated hemoglobin content.

[0116] After obtaining the content of the hemoglobin variant, the initial content of glycated hemoglobin HbA1c can be corrected based on the content of the hemoglobin variant to correct the content of glycated hemoglobin HbA1c, obtain the corrected content of glycated hemoglobin, and achieve accurate determination of the glycated hemoglobin content.

[0117] The method for detecting glycated hemoglobin based on this embodiment, after obtaining a chromatogram signal and determining multiple candidate peaks from the chromatogram signal, identifies the peak of glycated hemoglobin and the peak of hemoglobin variants from the multiple candidate peaks, and after obtaining the initial content of glycated hemoglobin and the content of hemoglobin variants based on this, corrects the initial content of glycated hemoglobin by the content of hemoglobin variants to obtain a corrected content of glycated hemoglobin. This corrected content is an accurate content of glycated hemoglobin. Since, in the process of determining the content of glycated hemoglobin, the interference of hemoglobin variants on glycated hemoglobin is taken into account, and the initial content of glycated hemoglobin is corrected accordingly, the corrected content of glycated hemoglobin finally obtained is obtained on the basis of overcoming the influence of hemoglobin variants on glycated hemoglobin, thereby improving the accuracy of the obtained content of glycated hemoglobin, and thereby improving the detection accuracy of glycated hemoglobin. Moreover, in this process, the initial content of glycated hemoglobin is corrected by the content of hemoglobin variants to obtain the accurate content of glycated hemoglobin, without the need for re-testing by other means, which further improves the detection efficiency and reduces the detection cost.

[0118] In some embodiments, reference Figure 3 As shown, the above step S202 of identifying the peak of glycated hemoglobin HbA1c and the peak of hemoglobin variants from multiple candidate peaks includes:

[0119] Step S2021: Determine the starting point and ending point of the peak window of each candidate peak, where the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak.

[0120] The trough between a candidate peak and the previous adjacent candidate peak is the lowest point between the highest point of the candidate peak and the highest point of the previous candidate peak. This trough point is used as the starting point of the peak window of the candidate peak to accurately separate the candidate peak from the previous candidate peak. The trough between a candidate peak and the next adjacent candidate peak is the lowest point between the highest point of the candidate peak and the highest point of the next candidate peak. This trough point is used as the ending point of the peak window of the candidate peak to accurately separate the candidate peak from the next candidate peak.

[0121] Step S2022: Determine the symmetry of the peak curve corresponding to each candidate peak.

[0122] The symmetry of a curve refers to the property of the curve's shape being symmetrical about a point or line. In the present embodiment, the symmetry of the peak curve corresponding to a candidate peak refers to the symmetry of the candidate peak's peak curve about the line containing the peak height. Symmetry can be used to describe whether the peak shape meets the symmetry standard, or the degree to which it meets the symmetry standard.

[0123] Step S2023: Based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, identify the peak of glycated hemoglobin; based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, determine the peak of the hemoglobin variant.

[0124] The first theoretical retention time range of glycated hemoglobin (HbA1c) refers to the range within which the chromatographic peak of glycated hemoglobin (HbA1c) is theoretically expected to appear. This range can be determined through calibration using a large number of experiments. For example, the peak interval of glycated hemoglobin (HbA1c) is detected based on laboratory-calibrated HbA1c samples, the chromatographic column type, and the mobile phase gradient. The first theoretical retention time range of HbA1c is then determined by combining the peak intervals of a large number of calibrated HbA1c samples. For example, in some examples, the union of the peak intervals of a large number of calibrated HbA1c samples can be used as the first theoretical retention time range of HbA1c.

[0125] The second theoretical retention time range of a hemoglobin variant refers to the range within which the chromatographic peak of the hemoglobin variant theoretically appears. The second theoretical retention time range of a hemoglobin variant can be determined by calibration through a large number of experiments. For example, based on laboratory calibration hemoglobin variant samples, the type of chromatographic column, and the gradient of the mobile phase, the peak interval of the hemoglobin variant is detected, and the peak intervals of a large number of calibration hemoglobin variant samples are combined to comprehensively determine the second theoretical retention time range of the hemoglobin variant. For example, in some examples, the union of the peak intervals of a large number of calibration hemoglobin variant samples can be used as the second theoretical retention time range of the hemoglobin variant. It is understandable that different calibration hemoglobin variant samples can be used for different types of hemoglobin variants, and calibration can be performed separately for each type of hemoglobin variant sample, so that different types of hemoglobin variants have different second theoretical retention time ranges.

[0126] The first theoretical retention time range of glycated hemoglobin HbA1c represents the time range in which glycated hemoglobin HbA1c will theoretically appear, and glycated hemoglobin HbA1c has its corresponding symmetry characteristics. Therefore, the peak of glycated hemoglobin HbA1c can be identified based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin HbA1c.

[0127] The second theoretical retention time range of hemoglobin variants represents the time range in which hemoglobin variants may theoretically appear, and hemoglobin variants have corresponding symmetry characteristics. Therefore, the peaks of hemoglobin variants can be determined based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variants.

[0128] Based on this embodiment, in the process of identifying the peaks of glycated hemoglobin and the peaks of hemoglobin variants, after determining the starting point and the ending point of the peak window for each candidate peak, the symmetry of the peak curve corresponding to each candidate peak is determined, and based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, the peak of glycated hemoglobin is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the peak of the hemoglobin variant is determined. Therefore, based on the difference in symmetry between the peak of glycated hemoglobin and the peak of the hemoglobin variant, combined with the first theoretical retention time range of glycated hemoglobin and the second theoretical retention time range of the hemoglobin variant, the peaks of glycated hemoglobin and the peaks of the hemoglobin variant can be accurately identified. On the basis of accurately identifying the peaks of glycated hemoglobin and the peaks of the hemoglobin variant, it helps to further improve the accuracy of the glycated hemoglobin content determined based on the peaks of glycated hemoglobin and the peaks of the hemoglobin variant.

[0129] In some embodiments, as Figure 4 As shown, a method for detecting glycated hemoglobin is provided. The method is described by taking the application of the terminal 102 or the server 104 as described above as an example, and includes the following steps:

[0130] Step S401: Acquire a chromatogram signal obtained by performing signal detection on a sample, and determine a plurality of candidate peaks based on local maxima in the chromatogram signal.

[0131] The specific implementation of step S401 may be the same as that of the above-mentioned step S201, and will not be described in detail here.

[0132] Step S402: determining the starting point and ending point of the peak window of each candidate peak, where the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak.

[0133] The specific implementation method of step S402 can be the same as the implementation method of the above-mentioned step S2021, and will not be repeated here.

[0134] Step S403: Determine the symmetry of the peak curve corresponding to each candidate peak.

[0135] The specific implementation of step S403 may be the same as the implementation of step S2022, and will not be described in detail here.

[0136] Step S404: Based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, identify the peak of glycated hemoglobin; based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, determine the peak of the hemoglobin variant.

[0137] The specific implementation of step S404 may be the same as the implementation of step S2023 described above, and will not be described in detail here.

[0138] The method for detecting glycated hemoglobin according to this embodiment, after obtaining a chromatogram signal and determining a plurality of candidate peaks from the chromatogram signal, identifies the glycated hemoglobin peak and the hemoglobin variant peak from the plurality of candidate peaks. For each candidate peak, after determining the starting point and ending point of its peak window, the symmetry of the peak curve corresponding to each candidate peak is determined, and based on the symmetry of each candidate peak within the first theoretical retention time range of the glycated hemoglobin, the glycated hemoglobin peak is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the glycated hemoglobin peak is identified. The symmetry of the glycated hemoglobin peaks and the peaks of the hemoglobin variants can be determined. Based on the difference in symmetry between the glycated hemoglobin peak and the hemoglobin variant peaks, combined with the first theoretical retention time range of glycated hemoglobin and the second theoretical retention time range of the hemoglobin variants, the glycated hemoglobin peak and the hemoglobin variant peaks can be accurately identified. This accurate identification of the glycated hemoglobin peak and the hemoglobin variant peaks further enhances the accuracy of the glycated hemoglobin content determined based on the glycated hemoglobin peak and the hemoglobin variant peaks. Furthermore, in this process, the glycated hemoglobin peak and the hemoglobin variant peak can be accurately identified without the need for retesting using other methods, further improving detection efficiency and reducing detection costs.

[0139] In some embodiments, combined Figure 5 As shown, the determination of the symmetry of the peak curve corresponding to each candidate peak in the above step S2022 and step S403 includes:

[0140] Step S501: Calculate the maximum slope of the first side curve and the minimum slope of the second side curve of the candidate peak, where the first side curve is the curve between the peak height point of the candidate peak and the starting point of the candidate peak, and the second side curve is the curve between the peak height point of the candidate peak and the ending point of the candidate peak.

[0141] In a chromatogram, the slope can be used to describe the rate of change of signal intensity over time. The slope of a point in the chromatogram curve is its instantaneous rate of change, reflecting the steepness of the signal rise or fall. When the slope is greater than 0, the curve rises; when the slope is less than 0, the curve falls; and when the slope is 0, it is a horizontal line, such as the apex of a chromatographic peak.

[0142] The maximum slope of the first side curve of the candidate peak is the maximum value of the slopes of the points on the curve between the peak height point of the candidate peak and the starting point of the candidate peak, and the minimum slope of the second side curve of the candidate peak is the minimum value of the slopes of the points on the curve between the peak height point of the candidate peak and the ending point of the candidate peak.

[0143] Step S502: Based on the maximum slope and the minimum slope, obtain the symmetry of the peak curve corresponding to the candidate peak.

[0144] The maximum slope is the maximum value among the slopes of the points on the curve between the peak height of the candidate peak and the starting point of the candidate peak. From the starting point of the candidate peak to the peak height of the candidate peak, the signal continues to rise. At this time, the slope of each point in the first side curve is greater than 0, and the maximum slope reflects the maximum steepness of the signal rise during the continuous rise of the signal.

[0145] The minimum slope is the minimum value in the curve between the peak height of the candidate peak and the end point of the candidate peak. From the peak height of the candidate peak to the end point of the candidate peak, the signal continues to decline. At this time, the metabolic rate of each point in the second side curve is less than 0. Therefore, the minimum slope reflects the maximum steepness of the signal decline during the continuous decline of the signal.

[0146] Therefore, since the maximum slope reflects the maximum steepness of the signal rise and the minimum slope reflects the maximum steepness of the signal fall, the symmetry of the peak curve corresponding to the candidate peak can be determined based on the maximum slope and the minimum slope.

[0147] Based on this embodiment, when determining the symmetry of the peak curve corresponding to each candidate peak, after obtaining the maximum slope of the first side curve between the peak height point and the starting point of the candidate peak, and the minimum slope of the second side curve between the peak height point and the ending point of the candidate peak, the symmetry is determined by combining the maximum slope and the minimum slope. Since the maximum slope reflects the maximum rate of change in the process of increasing from the starting point of the candidate peak to the peak height point of the candidate peak, and the minimum slope reflects the maximum rate of change in the process of decreasing from the peak height point of the candidate peak to the ending point of the candidate peak, the maximum slope and the minimum slope can be combined to characterize or determine the symmetry of the peak curve corresponding to the candidate peak, thereby improving the accuracy of the symmetry of the determined peak curve of the candidate peak.

[0148] In some embodiments, obtaining the symmetry of the peak curve corresponding to the candidate peak based on the maximum slope and the minimum slope includes:

[0149] The ratio of the maximum slope to the minimum slope is taken as the symmetry of the peak curve corresponding to the candidate peak;

[0150] or

[0151] The absolute value of the ratio of the maximum slope to the minimum slope is taken as the symmetry of the peak curve corresponding to the candidate peak.

[0152] Based on this embodiment, since the maximum slope reflects the maximum rate of change in the process of increasing from the starting point of the candidate peak to the candidate peak, and the minimum slope reflects the maximum rate of change in the process of decreasing from the candidate peak to the end point of the candidate peak, when the candidate peak is completely symmetrical, the absolute values ​​of the maximum slope and the minimum slope should be the same, but in opposite directions. Therefore, the symmetry of the peak curve of the candidate peak can be evaluated based on the ratio of the absolute value of the maximum slope to the absolute value of the minimum slope, or the absolute value of the ratio of the maximum slope to the minimum slope.

[0153] In some embodiments, the step S2022 and the step S403 of determining the symmetry of the peak curve corresponding to each candidate peak include:

[0154] The symmetry of the peak curves corresponding to the candidate peaks within the first theoretical retention time range and the second theoretical retention time range is determined.

[0155] Based on this, when determining the symmetry of the peak curve corresponding to each candidate peak, the symmetry of the peak curve can be determined only for each candidate peak within the first theoretical retention time range and the second theoretical retention time range. Therefore, the symmetry of the peak curve can be determined only for the candidate peak within part of the time range, which helps to improve the detection processing efficiency.

[0156] In some embodiments, the steps S2023 and S404 above, identifying the peak of glycated hemoglobin based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, and determining the peak of the hemoglobin variant based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, include:

[0157] The candidate peak with the smallest difference between its symmetry and 1 within the first theoretical retention time range is determined to be the peak of glycated hemoglobin.

[0158] Since the peak of glycated hemoglobin is approximately Gaussian distributed, the candidate peak with the smallest difference between its symmetry and 1 within the first theoretical retention time range, that is, the peak with symmetry closest to 1, can be determined as the peak of glycated hemoglobin, thereby achieving accurate identification of the glycated hemoglobin peak.

[0159] Regarding hemoglobin variants, different types of hemoglobin variants may have differences. Taking hemoglobin variants including hemoglobin variant HbJ as an example, in this case, the steps S2023 and S404 above identify the peak of glycated hemoglobin based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, and determine the peak of the hemoglobin variant based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, include:

[0160] The candidate peak with a symmetry greater than 1 within the second theoretical retention time range corresponding to the hemoglobin variant HbJ is determined as the peak of the hemoglobin variant HbJ.

[0161] Since the peak of the hemoglobin variant HbJ has the characteristic of being steep at the beginning and slow at the end during gradient elution, that is, an asymmetric tailing peak appears at the beginning, therefore, within the second theoretical retention time range corresponding to the hemoglobin variant HbJ, the candidate peak with a symmetry greater than 1 can be determined as the hemoglobin variant HbJ, thereby achieving accurate identification of the peak of the hemoglobin variant HbJ.

[0162] Taking hemoglobin variants including hemoglobin variant HbJ as an example, the peak of glycated hemoglobin HbA1c and the example of hemoglobin variant HbJ are as follows. Figure 6 shown.

[0163] Combine Figure 6 It can be seen that the peak of glycated hemoglobin HbA1c is approximately Gaussian distributed, and the absolute value (symmetry) of the ratio of the maximum slope of the first side curve to the minimum slope of the second side curve is close to 1. Therefore, based on the candidate peaks within the first theoretical retention time range of glycated hemoglobin HbA1c, the candidate peak with a symmetry closer to 1 can be calibrated as the peak of glycated hemoglobin HbA1c.

[0164] At the same time, combined Figure 6 It can be seen that the peak of the hemoglobin variant HbJ has the characteristic of being steep at the beginning and slow at the end during gradient elution, indicating that its symmetry is greater than 1, that is, an asymmetric tailing peak. Based on this characteristic, within the second theoretical retention time range of the hemoglobin variant HbJ, candidate peaks with a symmetry greater than 1 can be calibrated as the peak of the hemoglobin variant HbJ.

[0165] In some embodiments, determining the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak in step S203 includes:

[0166] The ratio of the first peak area to the total area was determined as the initial content of glycated hemoglobin.

[0167] The formula for determining the initial content of glycated hemoglobin HbA1c can be expressed as follows:

[0168]

[0169] Among them, HbA1c1 represents the initial content of glycated hemoglobin HbA1c, S HbA1c represents the first peak area of ​​the glycated hemoglobin peak, S all represents the total area of ​​each candidate peak.

[0170] Since in the chromatogram, the peak area can be determined based on the integral value of the peak height (signal intensity) and the retention time (peak width) in the chromatogram, and the signal intensity is linearly related to the concentration of the component, the ratio of the first peak area of ​​the glycated hemoglobin peak to the peak area of ​​each candidate peak can be used as the glycated hemoglobin content, and this content can be used as the calculated initial content of glycated hemoglobin.

[0171] In some embodiments, determining the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak comprises:

[0172] The amount of the hemoglobin variant is determined based on the second peak area and the total area of ​​the hemoglobin variant peak, including:

[0173] The ratio of the second peak area to the total area is determined as the content of the hemoglobin variant.

[0174] The formula for determining the initial content of glycated hemoglobin HbA1c can be expressed as follows:

[0175]

[0176] Among them, con 变 Indicates the content of hemoglobin variants, S 变 The second peak area representing the peak of the hemoglobin variant, S all represents the total area of ​​each candidate peak.

[0177] Since the peak area in the chromatogram can be determined based on the integrated value of the peak height (signal intensity) and retention time (peak width) in the chromatogram, and the signal intensity is linearly related to the concentration of the component, the ratio of the second peak area of ​​the hemoglobin variant peak to the peak area of ​​each candidate peak can be used as the content of the hemoglobin variant.

[0178] In some embodiments, combined Figure 7 As shown, the step S204 of correcting the initial glycated hemoglobin content based on the content of hemoglobin variants to obtain the corrected glycated hemoglobin content includes:

[0179] Step S701: Based on the relationship between the interference coefficient and the content of hemoglobin variants, the current interference coefficient is determined according to the obtained content of hemoglobin variants.

[0180] The interference coefficient represents the degree of interference caused by the hemoglobin variant content on the measured glycated hemoglobin (HbA1c). The relationship between the interference coefficient and the hemoglobin variant content can be determined by performing a fit based on a large number of measurements of calibration samples, combining the measured hemoglobin variant content with the glycated hemoglobin (HbA1c) content.

[0181] Among them, the calibration sample is a sample whose precise hemoglobin variant content and / or glycated hemoglobin HbA1c content is known. By adding the calibration sample to the reaction solution, the measured glycated hemoglobin HbA1c content can be obtained based on the calibration sample and the chromatographic column type, and the gradient of the mobile phase, and the measurement deviation between the measured glycated hemoglobin HbA1c content and the calibrated content of glycated hemoglobin HbA1c is calculated. By combining a large number of measurement deviations of glycated hemoglobin HbA1c and the calibrated contents of hemoglobin variants, a fitting relationship between the measurement deviation of glycated hemoglobin HbA1c and the calibrated content of hemoglobin variants can be fitted.

[0182] Based on the fitting relationship between the measurement deviation of glycated hemoglobin HbA1c and the calibrated content of hemoglobin variants, the content of hemoglobin variants can be used as a fixed function for derivation to obtain the relationship between the interference coefficient and the content of hemoglobin variants.

[0183] Step S702: Based on the current interference coefficient and the content of hemoglobin variants, the initial content of glycated hemoglobin is corrected to obtain the corrected content of glycated hemoglobin.

[0184] Based on the current interference coefficient obtained based on the obtained hemoglobin variant content, the initial content of glycated hemoglobin can be corrected in combination with the current interference coefficient and the hemoglobin variant content to obtain the corrected content of glycated hemoglobin.

[0185] Since hemoglobin variants will interfere with the determination of glycated hemoglobin when they appear, and the greater the content of hemoglobin variants, the greater the degree of interference with glycated hemoglobin, the current interference coefficient of the current detection process can be determined based on the relationship between the interference coefficient and the content of hemoglobin variants, combined with the currently determined content of hemoglobin variants, and the initial content of glycated hemoglobin can be corrected using the interference coefficient combined with the content of hemoglobin variants, thereby achieving accurate correction of the initial content of glycated hemoglobin and improving the accuracy of the corrected content of glycated hemoglobin.

[0186] The initial glycated hemoglobin level is corrected based on the current interference coefficient and the level of hemoglobin variants. The method for obtaining the corrected glycated hemoglobin level is not limited. In some examples, the method includes:

[0187] The difference between the initial glycated hemoglobin content and the product of the current interference coefficient and the content of the hemoglobin variant is subtracted to obtain the corrected glycated hemoglobin content.

[0188] Accordingly, when correcting the initial content of glycated hemoglobin, the difference between the initial content of glycated hemoglobin and the product of the current interference coefficient and the content of hemoglobin variants is subtracted to obtain the corrected content of glycated hemoglobin. Since when hemoglobin variants interfere with glycated hemoglobin, it is usually easy to identify the signals of some hemoglobin variants as signals of glycated hemoglobin, therefore, by subtracting the product of the current interference coefficient and the content of hemoglobin variants, the interference of hemoglobin variants can be subtracted, thereby improving the accuracy of the corrected content of glycated hemoglobin.

[0189] Taking the hemoglobin variant HbJ as an example, the fitting relationship between the measurement deviation of glycated hemoglobin HbA1c obtained after overfitting and the calibration content of the hemoglobin variant can be expressed as follows:

[0190]

[0191] Where ΔHbA1c represents the measurement deviation of glycated hemoglobin (HbA1c), a is the maximum theoretical deviation of the glycated hemoglobin (HbA1c) measurement value when the content of the hemoglobin variant HbJ is infinite, also known as the saturation value, and b is a constant related to the decay rate. It reflects the decay rate and controls the speed at which the measurement deviation approaches a as the content of the hemoglobin variant HbJ increases. The larger the b value, the faster the measurement deviation approaches the saturation value; the smaller the b value, the slower the measurement deviation increases. HbJ is the content of hemoglobin variant HbJ.

[0192] It can be seen that the interference effect of the hemoglobin variant HbJ concentration on glycated hemoglobin HbA1c shows a nonlinear saturation characteristic rather than a simple linear relationship with the increase of the content or concentration of the hemoglobin variant HbJ, and the interference effect of low concentration or low content of the hemoglobin variant HbJ is significant. As the content concentration of the hemoglobin variant HbJ increases, the marginal effect of the interference gradually weakens and eventually approaches a stable value a.

[0193] The interference coefficient k is used to represent the measurement deviation caused by the unit content or unit concentration of hemoglobin variant HbJ, and the content or concentration C of hemoglobin variant HbJ is used to represent the measurement deviation caused by the unit content or unit concentration of hemoglobin variant HbJ. HbJ Derived as a derivative for a given function, we can obtain:

[0194]

[0195] It can be seen that the interference coefficient k varies with the content or concentration C of hemoglobin variant HbJ. HbJ The increase in α decayed exponentially, indicating that the marginal interference effect of high-concentration hemoglobin variant HbJ gradually decreased.

[0196] Where k is the interference coefficient, a is the maximum theoretical deviation of the measured value of glycated hemoglobin when the content of hemoglobin variant HbJ is infinite, b is a constant, and C HbJ is the content of hemoglobin variant HbJ.

[0197] Based on this, when the initial content of glycated hemoglobin HbA1c is corrected based on the current interference coefficient and the content of the hemoglobin variant HbJ, the corrected content of glycated hemoglobin HbA1c is obtained, which can be expressed as follows:

[0198] HbA1c2=HbA1c1-k*H CbJ

[0199] Wherein, HbA1c2 represents the corrected content of glycated hemoglobin HbA1c, HbA1c1 represents the initial content of glycated hemoglobin HbA1c, k represents the interference coefficient, C HbJ Indicates the content of hemoglobin variant HbJ.

[0200] Based on the above examples, the interference of the hemoglobin variant HbJ on glycated hemoglobin HbA1c is taken as an example to illustrate a specific example of the method for detecting glycated hemoglobin HbA1c according to an embodiment of the present application.

[0201] refer to Figure 8 As shown, the method for detecting glycated hemoglobin HbA1c in this example includes the following steps:

[0202] Step S801: Acquire a chromatogram signal obtained by performing signal detection on a sample, and determine a plurality of candidate peaks based on local maxima in the chromatogram signal.

[0203] Step S802: Determine the starting point and ending point of the peak window of each candidate peak, where the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak.

[0204] Step S803: Calculate the maximum slope of the first side curve and the minimum slope of the second side curve of the candidate peak, where the first side curve is the curve between the peak height point of the candidate peak and the starting point of the candidate peak, and the second side curve is the curve between the peak height point of the candidate peak and the ending point of the candidate peak.

[0205] Step S804: Based on the maximum slope and the minimum slope, obtain the symmetry of the peak curve corresponding to the candidate peak.

[0206] Step S805: Based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, identify the peak of glycated hemoglobin; based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, determine the peak of the hemoglobin variant.

[0207] Step S806: Determine the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak; determine the content of the hemoglobin variant based on the second peak area and the total area of ​​the hemoglobin variant peak.

[0208] Step S807: Based on the content of the hemoglobin variant, the initial content of glycated hemoglobin is corrected to obtain the corrected content of glycated hemoglobin.

[0209] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0210] Based on the same inventive concept, embodiments of the present application also provide a device for detecting glycated hemoglobin (Glycated Hemoglobin) for implementing the aforementioned method for detecting Glycated Hemoglobin. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the Glycated Hemoglobin detection device provided below can be found in the limitations of the Glycated Hemoglobin detection method described above and will not be further elaborated here.

[0211] In one embodiment, Figure 9 As shown, a device for detecting glycated hemoglobin is provided, comprising: a signal acquisition module 901, a peak identification module 902, a content calculation module 903 and a correction module 904, wherein:

[0212] A signal acquisition module 901 is configured to acquire a chromatogram signal obtained by performing signal detection on a sample, and determine a plurality of candidate peaks based on a local maximum value in the chromatogram signal;

[0213] a peak identification module 902 for identifying the peak of glycated hemoglobin and the peak of hemoglobin variants from a plurality of candidate peaks;

[0214] A content calculation module 903 is configured to determine the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak; and to determine the content of the hemoglobin variant based on the second peak area and the total area of ​​the hemoglobin variant peak.

[0215] The correction module 904 is configured to correct the initial glycated hemoglobin content based on the content of the hemoglobin variant to obtain a corrected glycated hemoglobin content.

[0216] In some embodiments, the peak identification module 902 includes:

[0217] A peak window determination module is used to determine the starting point and ending point of the peak window of each candidate peak, where the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak;

[0218] A symmetry determination module, used to determine the symmetry of the peak curve corresponding to each candidate peak;

[0219] The identification and determination module is used to identify the peak of glycated hemoglobin based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, and to determine the peak of the hemoglobin variant based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant.

[0220] In some embodiments, the symmetry determination module is used to calculate the maximum slope of the first side curve and the minimum slope of the second side curve of the candidate peak, where the first side curve is the curve between the peak height point of the candidate peak and the starting point of the candidate peak, and the second side curve is the curve between the peak height point of the candidate peak and the ending point of the candidate peak; based on the maximum slope and the minimum slope, the symmetry of the peak curve corresponding to the candidate peak is obtained.

[0221] In some embodiments, the symmetry determination module is configured to use the ratio of the absolute value of the maximum slope to the absolute value of the minimum slope as the symmetry of the peak curve corresponding to the candidate peak.

[0222] In some embodiments, the symmetry determination module is configured to determine the symmetry of peak curves corresponding to each candidate peak within the first theoretical retention time range and the second theoretical retention time range.

[0223] In some embodiments, the identification and determination module is configured to determine, within the first theoretical retention time range, a candidate peak whose symmetry has the smallest difference from 1 as the peak of glycated hemoglobin.

[0224] In some embodiments, the hemoglobin variant includes the hemoglobin variant HbJ, and the identification and determination module is used to determine the candidate peak with a symmetry greater than 1 within the second theoretical retention time range of the hemoglobin variant HbJ as the peak of the hemoglobin variant HbJ.

[0225] In some embodiments, the correction module 904 is used to determine the current interference coefficient based on the relationship between the interference coefficient and the content of hemoglobin variants and according to the obtained content of hemoglobin variants; based on the current interference coefficient and the content of hemoglobin variants, the initial content of glycated hemoglobin is corrected to obtain the corrected content of glycated hemoglobin.

[0226] In some embodiments, the correction module 904 is configured to subtract the difference between the product of the current interference coefficient and the hemoglobin variant content from the initial glycated hemoglobin content to obtain the corrected glycated hemoglobin content.

[0227] In some embodiments, the hemoglobin variant includes the hemoglobin variant HbJ, and the relationship between the interference coefficient and the content of the hemoglobin variant HbJ includes:

[0228]

[0229] Where k is the interference coefficient, a is the maximum theoretical deviation of the measured value of glycated hemoglobin when the content of hemoglobin variant HbJ is infinite, b is a constant, and C HbJ is the content of hemoglobin variant HbJ.

[0230] In one embodiment, Figure 10 As shown, a device for detecting glycated hemoglobin is provided, comprising: a signal acquisition module 1001, a peak window determination module 1002, a symmetry determination module 1003, and an identification determination module 1004, wherein:

[0231] The signal acquisition module 1001 is used to acquire a chromatogram signal obtained by performing signal detection on the sample, and determine multiple candidate peaks based on the local maximum value in the chromatogram signal;

[0232] The peak window determination module 1002 is used to determine the starting point and ending point of the peak window of each candidate peak, where the starting point is the valley between the candidate peak and the previous adjacent candidate peak, and the ending point is the valley between the candidate peak and the next adjacent candidate peak;

[0233] A symmetry determination module 1003 is used to determine the symmetry of the peak curve corresponding to each candidate peak;

[0234] The identification and determination module 1004 is used to identify the peak of glycated hemoglobin based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, and to determine the peak of the hemoglobin variant based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant.

[0235] In some embodiments, the symmetry determination module 1003 is used to calculate the maximum slope of the first side curve and the minimum slope of the second side curve of the candidate peak, where the first side curve is the curve between the peak height point of the candidate peak and the starting point of the candidate peak, and the second side curve is the curve between the peak height point of the candidate peak and the ending point of the candidate peak; based on the maximum slope and the minimum slope, the symmetry of the peak curve corresponding to the candidate peak is obtained.

[0236] In some embodiments, the symmetry determination module 1003 is configured to use the ratio of the absolute value of the maximum slope to the absolute value of the minimum slope as the symmetry of the peak curve corresponding to the candidate peak.

[0237] In some embodiments, the symmetry determination module 1003 is configured to determine the symmetry of peak curves corresponding to candidate peaks within the first theoretical retention time range and the second theoretical retention time range.

[0238] In some embodiments, the identification and determination module 1004 is configured to determine, within the first theoretical retention time range, the candidate peak whose symmetry has the smallest difference from 1 as the peak of glycated hemoglobin.

[0239] In some embodiments, the hemoglobin variant includes the hemoglobin variant HbJ, and the identification and determination module is used to determine the candidate peak with a symmetry greater than 1 within the second theoretical retention time range of the hemoglobin variant HbJ as the peak of the hemoglobin variant HbJ.

[0240] Each module in the aforementioned glycated hemoglobin detection device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0241] In one embodiment, an electronic device is provided. The electronic device may be a terminal, and its internal structure diagram may be as follows: Figure 11 As shown. The electronic device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the electronic device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for detecting glycated hemoglobin is implemented. The display screen of the electronic device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the electronic device, or an external keyboard, touchpad or mouse.

[0242] Those skilled in the art will understand that Figure 11 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device to which the solution of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0243] In one embodiment, an electronic device is provided, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method for detecting glycated hemoglobin in any of the embodiments described above are implemented.

[0244] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for detecting glycated hemoglobin in any of the embodiments described above are implemented.

[0245] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of the method for detecting glycated hemoglobin in any of the embodiments described above.

[0246] It should be noted that the information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0247] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0248] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0249] The above embodiments merely illustrate several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for detecting glycated hemoglobin, characterized in that: The method comprises: Acquiring a chromatogram signal obtained by performing signal detection on the sample, and determining a plurality of candidate peaks based on local maxima in the chromatogram signal; identifying a peak of glycated hemoglobin and a peak of a hemoglobin variant from the plurality of candidate peaks; determining the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each candidate peak; determining the content of the hemoglobin variant based on the second peak area of ​​the hemoglobin variant peak and the total area; The initial content of glycated hemoglobin is corrected based on the content of the hemoglobin variant to obtain a corrected content of glycated hemoglobin.

2. The method according to claim 1, characterized in that The step of identifying the peak of glycated hemoglobin and the peak of hemoglobin variant from the plurality of candidate peaks comprises: Determine a starting point and an ending point of a peak window of each candidate peak, wherein the starting point is a trough between the current candidate peak and the previous adjacent candidate peak, and the ending point is a trough between the current candidate peak and the next adjacent candidate peak; Determining the symmetry of the peak curve corresponding to each of the candidate peaks; Based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, the peak of glycated hemoglobin is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the peak of the hemoglobin variant is determined.

3. A method for detecting glycated hemoglobin, characterized in that: The method comprises: Acquiring a chromatogram signal obtained by performing signal detection on the sample, and determining a plurality of candidate peaks based on local maxima in the chromatogram signal; Determine the starting point and ending point of the peak window of each candidate peak, wherein the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak; Determine the symmetry of the peak curve corresponding to each candidate peak; Based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, the peak of glycated hemoglobin is identified, and based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, the peak of the hemoglobin variant is determined.

4. The method according to claim 2 or 3, characterized in that Determining the symmetry of the peak curve corresponding to each candidate peak includes: Calculating a maximum slope of a first side curve and a minimum slope of a second side curve of the candidate peak, wherein the first side curve is a curve between a peak height point of the candidate peak and a starting point of the candidate peak, and the second side curve is a curve between a peak height point of the candidate peak and an ending point of the candidate peak; The symmetry of the peak curve corresponding to the candidate peak is obtained based on the maximum slope and the minimum slope.

5. The method according to claim 4, characterized in that The obtaining, based on the maximum slope and the minimum slope, the symmetry of the peak curve corresponding to the candidate peak includes: The ratio of the absolute value of the maximum slope to the absolute value of the minimum slope is used as the symmetry of the peak curve corresponding to the candidate peak.

6. The method according to claim 2 or 3, characterized in that Determining the symmetry of the peak curve corresponding to each candidate peak includes: The symmetry of peak curves corresponding to each candidate peak within the first theoretical retention time range and the second theoretical retention time range is determined.

7. The method according to claim 5, characterized in that The identifying the peak of glycated hemoglobin based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, and determining the peak of the hemoglobin variant based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant, comprises at least one of the following: Item 1: Determine the candidate peak with the smallest difference between its symmetry and 1 within the first theoretical retention time range as the peak of glycated hemoglobin; Item 2: The hemoglobin variant includes the hemoglobin variant HbJ, and a candidate peak with a symmetry greater than 1 within the second theoretical retention time range of the hemoglobin variant HbJ is determined as the peak of the hemoglobin variant HbJ.

8. The method according to claim 1 or 2, characterized in that The step of correcting the initial glycated hemoglobin content based on the content of the hemoglobin variant to obtain the corrected glycated hemoglobin content comprises: Based on the relationship between the interference coefficient and the content of the hemoglobin variant, the current interference coefficient is determined according to the obtained content of the hemoglobin variant; Based on the current interference coefficient and the content of the hemoglobin variant, the initial content of the glycated hemoglobin is corrected to obtain a corrected content of the glycated hemoglobin.

9. The method according to claim 8, characterized in that Correcting the initial content of glycated hemoglobin based on the current interference coefficient and the content of the hemoglobin variant to obtain a corrected content of glycated hemoglobin, comprising: The difference between the initial content of the glycated hemoglobin and the product of the current interference coefficient and the content of the hemoglobin variant is subtracted to obtain the corrected content of the glycated hemoglobin.

10. The method according to claim 8, characterized in that The hemoglobin variant includes the hemoglobin variant HbJ, and the relationship between the interference coefficient and the content of the hemoglobin variant HbJ includes: Where k is the interference coefficient, a is the maximum theoretical deviation of the measured value of glycated hemoglobin when the content of hemoglobin variant HbJ is infinite, b is a constant, and C HbJ is the content of hemoglobin variant HbJ.

11. A device for detecting glycated hemoglobin, characterized in that: The device comprises: a signal acquisition module, configured to acquire a chromatogram signal obtained by performing signal detection on the sample, and determine a plurality of candidate peaks based on a local maximum value in the chromatogram signal; a peak identification module, configured to identify a peak of glycated hemoglobin and a peak of a hemoglobin variant from among the plurality of candidate peaks; a content calculation module, configured to determine the initial content of glycated hemoglobin based on the first peak area of ​​the glycated hemoglobin peak and the total area of ​​each of the candidate peaks; and determine the content of the hemoglobin variant based on the second peak area of ​​the hemoglobin variant peak and the total area; The correction module is used to correct the initial content of glycated hemoglobin based on the content of the hemoglobin variant to obtain the corrected content of glycated hemoglobin.

12. A device for detecting glycated hemoglobin, characterized in that: The device comprises: a signal acquisition module, configured to acquire a chromatogram signal obtained by performing signal detection on the sample, and determine a plurality of candidate peaks based on a local maximum value in the chromatogram signal; A peak window determination module is used to determine the starting point and ending point of the peak window of each candidate peak, wherein the starting point is the trough between the candidate peak and the previous adjacent candidate peak, and the ending point is the trough between the candidate peak and the next adjacent candidate peak; A symmetry determination module, used to determine the symmetry of the peak curve corresponding to each candidate peak; The identification and determination module is used to identify the peak of glycated hemoglobin based on the symmetry of each candidate peak within the first theoretical retention time range of glycated hemoglobin, and to determine the peak of the hemoglobin variant based on the symmetry of each candidate peak within the second theoretical retention time range of the hemoglobin variant.

13. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 11 are implemented.

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