A method of detecting data integration analysis

Abstract

The present application relates to the field of detection, in particular to a kind of detection data integration analysis method, the method can establish the deviation model of the comprehensive influence of the current fluctuation of light source and the current fluctuation of detector to absorbance, after first sampling detection is carried out in spectrophotometer, the target deviation of current fluctuation to absorbance of this detection can be determined according to deviation model, then the current fluctuation of light source and the current fluctuation of detector are predicted and analyzed, to determine the time corresponding to the current environment that can bring the deviation of absorbance roughly consistent with target deviation, then the absorbance is detected by spectrophotometer at these time, so that several absorbances can be obtained;In the method, the current environment of each detected absorbance is similar at the time of detection, the degree of influence by current is roughly the same, so that the detection environment is unified, the deviation caused by the difference of detection environment is avoided, and the accuracy of detection analysis is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of detection, in particular to a detection data integration analysis method. BACKGROUND

[0002] The essence of spectrophotometric colorimetry is to indirectly realize the accurate quantification of concentration by measuring the degree of light absorption of a substance, and the core is the application of Lambert-Beer law. With high sensitivity, wide applicability and simplicity, it is still one of the most basic and most commonly used methods in chemical analysis;

[0003] The detection principle of spectrophotometric colorimetry is that the light emitted by the light source in the spectrophotometer is incident on the sample container, and the emergent light is detected by the detector, and then the light intensity of the incident light and the emergent light is compared to determine the absorbance of the sample, so as to calculate the concentration of the target substance in the sample. Since the position of the target substance in the sample is not fixed, when the spectrophotometric colorimetry is currently used, multiple absorbances are usually collected to improve the accuracy of the calculated substance concentration. However, when the spectrophotometer is running, multiple functional elements in it work at the same time, which will cause current fluctuations in the internal circuit. The current fluctuations will cause fluctuations in the light intensity of the light source and fluctuations in the detection value of the detector. That is, during the operation of the spectrophotometer, the current environment of the internal circuit is in dynamic change, which may cause the current environment of each absorbance collected to be quite different, and the degree of influence of each collected absorbance by the instrument itself is different, thereby causing a large error in the calculated concentration of the target substance. SUMMARY

[0004] Therefore, it is necessary to provide a detection data integration analysis method aiming at the above problems.

[0005] The embodiment of the present application is implemented in the following manner, that is, a detection data integration analysis method is provided, and the method comprises:

[0006] S1: determining that the influence curve of the current fluctuation of the light source on the light intensity of the light source is a first influence curve;

[0007] S2: determining that the influence curve of the current fluctuation of the detector on the detection value is a second influence curve;

[0008] S3: determining an absorbance deviation model according to the first influence curve and the second influence curve;

[0009] S4: monitoring the current fluctuation of the light source and the current fluctuation of the detector after the spectrophotometer starts running;

[0010] S5: after detecting the absorbance for the first time, calling the first current and the second current at the time of detection, determining the total deviation caused by the current to the absorbance in combination with the deviation model of the absorbance, taking the total deviation as the target total deviation, wherein the first current is the current of the light source, and the second current is the current of the detector;

[0011] S6: determining the development trend of the first current and the development trend of the second current to determine the predicted total deviation at each future time;

[0012] S7: determining a plurality of time points corresponding to the predicted total deviation whose difference from the target total deviation is less than a preset value;

[0013] S8: detecting the absorbance when reaching the determined time point, and determining the concentration of the detected target substance according to the average of all detected absorbances.

[0014] Preferably, determining the influence curve of the current fluctuation of the light source on the light intensity of the light source as the first influence curve comprises:

[0015] S11: injecting a preset standard current into the light source, and detecting the standard light intensity of the light source ;

[0016] S12: establishing a first coordinate system with the first current fluctuation as the horizontal coordinate and the light intensity change as the vertical coordinate;

[0017] S13: obtaining a preset first current fluctuation range of the light source;

[0018] S14: taking a first current fluctuation from the first current fluctuation range , additionally applying the first current fluctuation to the light source, monitoring the corresponding light intensity change , and obtaining a coordinate , wherein the light intensity change amount , is the light intensity obtained when the first current fluctuation is applied;

[0019] S15: repeatedly performing step S14 until a coordinate corresponding to each first current fluctuation in the first current fluctuation range is obtained;

[0020] S16: determining a coordinate point corresponding to each coordinate on the first coordinate system, and generating a fitting curve of the coordinate points, i.e. the first influence curve .

[0021] Preferably, determining the influence curve of the current fluctuation of the detector on the detection value as the second influence curve comprises:

[0022] S21: projecting light with a preset standard light intensity on the detector, and determining the standard detection value of the detector ;

[0023] S22: establishing a second coordinate system with the second current fluctuation as the horizontal coordinate and the detected value change as the vertical coordinate;

[0024] S23: obtaining a second current fluctuation range preset for the detector;

[0025] S24: taking a first current fluctuation from the second current fluctuation range , applying the second current fluctuation to the light source additionally, monitoring the corresponding detected value change , obtaining a coordinate , wherein the light intensity change amount , is the detected value changed due to the current fluctuation;

[0026] S25: repeatedly performing step S24 until the coordinate corresponding to each second current fluctuation in the second current fluctuation range is obtained;

[0027] S26: determining the coordinate point corresponding to each coordinate on the second coordinate system, and generating a fitting curve of each coordinate point, i.e., a second influence curve .

[0028] Preferably, determining the deviation model of the absorbance according to the first relationship curve and the second relationship curve comprises:

[0029] calling an absorbance calculation formula:

[0030]

[0031] wherein A is the absorbance, is the incident light intensity, is the outgoing light intensity;

[0032] after introducing the influence caused by the current fluctuation, we obtain:

[0033]

[0034] simplifying to obtain:

[0035]

[0036] moving the term to obtain the deviation model:

[0037]

[0038] wherein is the deviation model, is the absorbance after introducing the current fluctuation.

[0039] Preferably, before step S5, it further comprises:

[0040] obtaining a first threshold value for current fluctuation of the light source and a second threshold value for current fluctuation of the detector;

[0041] implementing a judgment whether the current fluctuation of the light source is less than the first threshold value and the current fluctuation of the detector is less than the second threshold value, and if so, performing the first absorbance detection.

[0042] Preferably, the total deviation of the current to the absorbance is determined by combining the first current and the second current at the detection time with a deviation model of the absorbance, which includes:

[0043] calculating a current difference between the first current and a standard current of the light source ;

[0044] obtaining a current difference between the second current and a standard current of the detector ;

[0045] bringing the two current differences into the deviation model to obtain the total deviation of the current to the absorbance .

[0046] Preferably, the development trend of the first current and the development trend of the second current are determined to determine the predicted total deviation at each future time, which includes:

[0047] obtaining an operating parameter of the spectrophotometer;

[0048] obtaining all first current historical curves when operating under the operating parameter, so as to synthesize a first current prediction curve according to the first current historical curves;

[0049] obtaining all second current historical curves when operating under the operating parameter, so as to synthesize a second current prediction curve according to the second current historical curves;

[0050] generating a predicted total deviation curve according to the first current prediction curve and the second current prediction curve.

[0051] Preferably, synthesizing the first current prediction curve according to the first current historical curves includes:

[0052] aligning the abscissas of the first current historical curves;

[0053] for each abscissa, calculating the ordinate mean of the points on the first current historical curves corresponding to the abscissa, so as to determine the abscissa and the first prediction coordinate point pointed by the ordinate mean;

[0054] connecting the first prediction coordinate points into a line to obtain the first current prediction curve;

[0055] synthesizing the second current prediction curve according to the second current historical curves includes:

[0056] aligning the abscissa of each second current history curve;

[0057] for each abscissa, calculating the ordinate mean value of the points on each second current history curve corresponding to the abscissa, thereby determining the abscissa and the second predicted coordinate point pointed to by the ordinate mean value;

[0058] connecting each second predicted coordinate point into a line to obtain a second current prediction curve.

[0059] Preferably, the abscissa of the first current prediction curve and the second current prediction curve is the same, which is the time, wherein the starting time is the time when the spectrophotometer starts to run; generating the prediction total deviation curve according to the first current prediction curve and the second current prediction curve comprises:

[0060] generating a time-prediction total deviation coordinate system, wherein the abscissa of the time-prediction total deviation coordinate system is the same as the abscissa of the current prediction curve;

[0061] for each time, determining the first current corresponding to the time on the first current prediction curve, determining the second current corresponding to the time on the second current prediction curve, substituting the determined first current and second current into the deviation model to calculate the prediction total deviation corresponding to the time, and obtaining a coordinate point on the time-prediction total deviation coordinate system;

[0062] connecting each coordinate point on the time-prediction total deviation coordinate system to obtain a prediction total deviation curve.

[0063] Preferably, determining the time corresponding to the prediction total deviation with a difference less than a preset value from the target total deviation comprises:

[0064] determining the interval length of the current time from the time when the spectrophotometer starts to run;

[0065] determining the time corresponding to the current time on the prediction total deviation curve according to the interval length, wherein the section of the prediction total deviation curve after the time is a target section, which represents the prediction total deviation of future times;

[0066] determining a set number of times corresponding to the prediction total deviation with a difference less than a preset value from the target total deviation on the target section.

[0067] The application provides a detection data integration analysis method, which comprises the following steps: determining an influence curve of current fluctuation of a light source on light intensity of the light source as a first influence curve; determining an influence curve of current fluctuation of a detector on a detection value as a second influence curve; determining a deviation model of absorbance according to the first influence curve and the second influence curve; monitoring the current fluctuation of the light source and the current fluctuation of the detector after the spectrophotometer starts running; after detecting the absorbance for the first time, calling the first current and the second current at the time of detection, combining the deviation model of absorbance to determine the total deviation caused by the current to the absorbance, and taking the total deviation as a target total deviation, wherein the first current is the current of the light source, and the second current is the current of the detector; determining the development trend of the first current and the development trend of the second current to determine the predicted total deviation at future moments; determining moments corresponding to the predicted total deviations whose difference from the target total deviation is less than a preset value; detecting the absorbance when the determined moments are reached, and determining the concentration of a detected target substance according to the average value of all detected absorbances. In the application, the current environment of each detected absorbance at the time of detection is similar, and the degree of influence caused by the current is roughly the same, so that the detection environment is unified, the deviation caused by the difference between detection environments is avoided, and the accuracy of detection analysis is improved. BRIEF DESCRIPTION OF DRAWINGS

[0068] Figure 1 A flowchart of the detection data integration analysis method provided in an embodiment;

[0069] Figure 2 An application environment diagram of the detection data integration analysis method in an embodiment;

[0070] Figure 3 A predicted total deviation curve diagram of the detection data integration analysis method in an embodiment. DETAILED DESCRIPTION

[0071] In order to make the objects, technical solutions and advantages of the application clearer, the application is further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the application, and do not limit the application.

[0072] It can be understood that the terms "first", "second", and the like used in the present application can be used herein to describe various elements, but unless specifically stated, these elements are not limited by these terms. These terms are only used to distinguish the first element from another element. For example, without departing from the scope of the present application, the first xx script can be referred to as the second xx script, and similarly, the second xx script can be referred to as the first xx script.

[0073] As Figure 1As shown, in one embodiment, a detection data integration analysis method is proposed, which comprises:

[0074] S1: determining the influence curve of the current fluctuation of the light source on the light intensity of the light source as a first influence curve;

[0075] S2: determining the influence curve of the current fluctuation of the detector on the detection value as a second influence curve;

[0076] S3: determining the deviation model of the absorbance according to the first influence curve and the second influence curve;

[0077] S4: monitoring the current fluctuation of the light source and the current fluctuation of the detector after the spectrophotometer starts running;

[0078] S5: after detecting the absorbance for the first time, calling the first current and the second current at the time of detection, combining the absorbance deviation model to determine the total deviation caused by the current to the absorbance, and taking the total deviation as the target total deviation, wherein the first current is the current of the light source, and the second current is the current of the detector;

[0079] S6: determining the development trend of the first current and the development trend of the second current to determine the predicted total deviation at future time points;

[0080] S7: determining a plurality of time points corresponding to the predicted total deviation whose difference from the target total deviation is less than a preset value;

[0081] S8: detecting the absorbance when reaching the determined time point, and determining the concentration of the detected target substance according to the average of all detected absorbances.

[0082] In this embodiment, as shown, Figure 2 This method is executed in a computer device, which can be a standalone physical server or terminal, or a server cluster composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud server, cloud database, cloud storage and CDN; the computer device is connected with the spectrophotometer, so that the spectrophotometer is controlled by the computer device, thereby being able to monitor the running condition of the spectrophotometer, including the running time, the start and stop time, etc., and being able to obtain the detection signal detected by the detector in real time; the light source and the detector in the spectrophotometer are provided with current sensors controlled by the computer device, and the computer device can monitor the current of the light source and the detector in real time through the current sensors, and further determine the current fluctuation in the light source and the detector.

[0083] In the embodiment, the types of the substances to be detected are different, and the wavelengths of the light emitted by the corresponding light sources for detection are different, such as 280 nm for detecting proteins and 260 nm for detecting nucleic acids; for each wavelength of light, the light source needs to be at a specific current to maintain its emission of the wavelength of light at a standard light intensity (the light intensity is preset), and the specific current can be regarded as a standard current of the light source during detection, and the current fluctuation of the light source is the difference between the actual current of the light source and the standard current; similarly, the detector needs to be stabilized at a specific current to accurately collect the light intensity signal of the outgoing light after the sample, and if the specific current changes, the detection value of the detector will change (i.e., the actual detection value deviates from the detection value that should be collected), and the current fluctuation of the detector is the difference between the actual current of the detector and the specific current.

[0084] In the embodiment, since the absorbance is directly related to the light intensity of the light source and the detection value of the detector (characterizing the light intensity of the outgoing light after the sample), the light intensity of the light source is affected by the current fluctuation of the light source (characterized as a first influence curve), and the detection value is affected by the current fluctuation of the detector (characterized as a second influence curve), so the absorbance is affected by the current fluctuation of the light source and the current fluctuation of the detector, and a deviation model of the absorbance can be constructed by the first influence curve and the second influence curve.

[0085] In the embodiment, in step S4, the current fluctuation of the light source is monitored, i.e., the actual current of the light source is detected in real time by the current sensor, and the current fluctuation is obtained by subtracting the corresponding standard current from the actual current; the current fluctuation of the detector is monitored in the same way.

[0086] In the embodiment, the absorbance is detected, i.e., after the detection value of the detector is obtained, the absorbance is calculated by using the absorbance formula, and the absorbance formula is:

[0087]

[0088] wherein A is the absorbance, is the incident light intensity (i.e., the standard light intensity emitted by the light source under the standard current), is the outgoing light intensity (i.e., the light intensity detected by the detector);

[0089] In the embodiment, the computer device is pre-provided with an absorbance-substance concentration curve for each substance, and after a plurality of absorbances are detected, the mean value of the absorbances can be calculated, and the mean value is used to determine the substance concentration corresponding to the mean value on the absorbance-substance concentration curve.

[0090] In the embodiment, the absorbance ranges from 0 to 2, and the preset value is a small value, which can be 5% of the range (i.e. 0.1). This is a specific implementation mode according to the accuracy requirement, which is not limited herein. The determined predicted total deviation is smaller than the target total deviation, so that the detected absorbance is close to the current environment during detection, so that the detected absorbance is also close to the influence, and the error of calculating the concentration of the target substance is also small.

[0091] In the present application, a deviation model representing the comprehensive influence of the current fluctuation of the light source and the current fluctuation of the detector on the absorbance can be established. After the spectrophotometer performs the first sampling detection, the target deviation of the current fluctuation of the light source and the current fluctuation of the detector on the absorbance can be determined according to the deviation model, and then the current fluctuation of the light source and the current fluctuation of the detector are predicted and analyzed to determine the time corresponding to the current environment that can bring a deviation to the absorbance which is roughly consistent with the target deviation. Then, the spectrophotometer is activated to detect the absorbance at these times, so that several absorbances can be obtained. In the present method, the detected absorbances are similar in the current environment during detection, and the influence of the current is roughly the same, so that the detection environment is unified, the deviation caused by the difference in the detection environment is avoided, and the accuracy of the detection and analysis is improved.

[0092] As a preferred embodiment, determining the influence curve of the current fluctuation of the light source on the light intensity of the light source as the first influence curve comprises:

[0093] S11: injecting a preset standard current into the light source, and detecting the standard light intensity of the light source ;

[0094] S12: establishing a first coordinate system with the first current fluctuation as the horizontal coordinate and the light intensity change as the vertical coordinate;

[0095] S13: obtaining a preset first current fluctuation range for the light source;

[0096] S14: taking a first current fluctuation from the first current fluctuation range , and applying the first current fluctuation to the light source, monitoring the corresponding light intensity change , and obtaining a coordinate , wherein the light intensity change , is the light intensity obtained when the first current fluctuation is applied;

[0097] S15: repeatedly performing step S14 until the coordinate corresponding to each first current fluctuation in the first current fluctuation range is obtained;

[0098] S16: determining the coordinate point corresponding to each coordinate on the first coordinate system, and generating a fitting curve of the coordinate points, i.e. the first influence curve .

[0099] The determining of the second influence curve of the current fluctuation of the detector on the detection value comprises:

[0100] S21: projecting light with a preset standard light intensity on the detector to determine a standard detection value of the detector ;

[0101] S22: establishing a second coordinate system with the second current fluctuation as the horizontal coordinate and the detection value change as the vertical coordinate

[0102] S23: obtaining a preset second current fluctuation range for the detector

[0103] S24: taking a first current fluctuation from the second current fluctuation range , applying the second current fluctuation to the light source additionally, monitoring the corresponding detection value change , obtaining a coordinate , wherein the light intensity change amount , is the detection value changed due to the current fluctuation

[0104] S25: repeatedly performing step S24 until the coordinate corresponding to each second current fluctuation in the second current fluctuation range is obtained

[0105] S26: determining the coordinate point corresponding to each coordinate in the second coordinate system to generate a fitting curve of the coordinate points, i.e., the second influence curve .

[0106] The determining of the second influence curve of the current fluctuation of the detector on the detection value comprises:

[0107] The light intensity calculation formula is called:

[0108]

[0109] wherein A is the absorbance, is the incident light intensity, is the outgoing light intensity

[0110] After introducing the influence caused by the current fluctuation, we get:

[0111]

[0112] Simplifying it gives:

[0113]

[0114] Moving the term to get the deviation model:

[0115]

[0116] wherein, is the deviation model, is the absorbance after introducing the current fluctuation.

[0117] In the embodiment, the detection of the standard light intensity can be performed without placing the sample, and the light of the light source can be directly detected by the detector when the sample is not placed in the photometric spectrometer, so as to obtain the light intensity of the light source. When the standard light intensity is detected, the detection value of the detector when the light source is the standard current is taken as the value of the standard light intensity, so as to avoid errors. In addition, the detection value represents the light intensity of the outgoing light. When the second influence curve is determined, in order to ensure that the light intensity projected on the detector is consistent, the light of the light source (projected at the standard light intensity, if the light intensity fluctuation cannot be avoided, only the coordinates corresponding to the projection at the standard light intensity are taken for fitting when fitting is performed later) can also be directly projected on the detector, so as to ensure that the light intensity is unchanged, and then the influence of the current fluctuation of the detector on the detected light intensity can be determined.

[0118] In the embodiment, the first current fluctuation range is the value range of the fluctuation value of the current (i.e., the difference between the actual current and the standard current). The range can be determined according to the data of the current fluctuation of the light source under the same working condition (the wavelength of the light source is the same) in history, and the range that can cover 90% of the current fluctuation can be taken as the first current fluctuation range. The value determination method of the second current fluctuation range is the same, and will not be described herein.

[0119] As a preferred embodiment, before step S5, the method further comprises:

[0120] obtaining a first critical value set for the current fluctuation of the light source and a second critical value set for the current fluctuation of the detector;

[0121] implementing the judgment of whether the current fluctuation of the light source is less than the first critical value and the current fluctuation of the detector is less than the second critical value, and if so, performing the first absorbance detection.

[0122] retrieving the first current and the second current during the detection, and determining the total deviation of the current on the absorbance by combining the deviation model of the absorbance, including:

[0123] calculating the current difference between the first current and the standard current of the light source ;

[0124] retrieving the current difference between the second current and the standard current of the detector ;

[0125] bringing the two current differences into the deviation model to obtain the total deviation of the current on the absorbance .

[0126] In the embodiment, the first threshold value takes a small value, such as 5% of the standard current (such as 1.5A) of the light source; similarly, the second threshold value can also take 5% of the standard current (such as 0.5mA) of the detector; through the setting of the first threshold value and the second threshold value, the current environment for the first detection of the absorbance is close to the standard current environment, so that the detected absorbance is almost not affected by the current environment, and the current environment at the subsequent detection time determined based on the current environment is also close to the standard current environment, that is, each detected absorbance is almost not affected by the current environment, further improving the accuracy of detection.

[0127] As a preferred embodiment, determining the development trend of the first current and the development trend of the second current to determine the predicted total deviation at each time in the future comprises:

[0128] Obtaining the operating parameter of the spectrophotometer;

[0129] Retrieving all first current historical curves when running under the operating parameter, to synthesize a first current prediction curve according to the first current historical curves;

[0130] Retrieving all second current historical curves when running under the operating parameter, to synthesize a second current prediction curve according to the second current historical curves;

[0131] Generating a predicted total deviation curve according to the first current prediction curve and the second current prediction curve.

[0132] Synthesizing the first current prediction curve according to the first current historical curves comprises:

[0133] Aligning the abscissas of each first current historical curve;

[0134] For each abscissa, calculating the ordinate mean of the points on each first current historical curve corresponding to the abscissa, thereby determining the abscissa and the first prediction coordinate point pointed to by the ordinate mean;

[0135] Connecting each first prediction coordinate point into a line to obtain the first current prediction curve;

[0136] Synthesizing the second current prediction curve according to the second current historical curves comprises:

[0137] Aligning the abscissas of each second current historical curve;

[0138] For each abscissa, calculating the ordinate mean of the points on each second current historical curve corresponding to the abscissa, thereby determining the abscissa and the second prediction coordinate point pointed to by the ordinate mean;

[0139] The second prediction coordinate points are connected into a line to obtain a second current prediction curve.

[0140] The first current prediction curve and the second current prediction curve have the same abscissa, and the abscissa is a time point, wherein the initial time point is a time point when the spectrophotometer starts to operate; the generating of the prediction total deviation curve according to the first current prediction curve and the second current prediction curve comprises:

[0141] A time point-prediction total deviation coordinate system is generated, wherein the abscissa of the time point-prediction total deviation coordinate system is the same as the abscissa of the current prediction curve;

[0142] For each time point, a first current corresponding to the time point is determined on the first current prediction curve, a second current corresponding to the time point is determined on the second current prediction curve, the determined first current and second current are substituted into the deviation model to calculate a prediction total deviation corresponding to the time point, and a coordinate point on the time point-prediction total deviation coordinate system is obtained;

[0143] The coordinate points on the time point-prediction total deviation coordinate system are connected to obtain a prediction total deviation curve.

[0144] As shown in Figure 3 determining a time point corresponding to a prediction total deviation less than a preset value from the target total deviation comprises:

[0145] An interval time length of a current time point from a time point when the spectrophotometer starts to operate is determined;

[0146] A time point corresponding to the current time point is determined on the prediction total deviation curve according to the interval time length, wherein a section of the prediction total deviation curve after the time point is a target section, and the target section represents prediction total deviations of future time points;

[0147] A time point corresponding to a prediction total deviation less than a preset value from the target total deviation is determined in the target section.

[0148] In the embodiment, the operating parameters include wavelengths, temperatures, scanning speeds, etc. of light source light emission; when the spectrophotometer is operated with the same operating parameters, the current development trend of the internal circuit of the spectrophotometer is approximately the same; each time the spectrophotometer is operated, the computer device records the corresponding current curve and stores it, that is, the first current historical curve and the second current historical curve are obtained, so as to determine the first current prediction curve and the second current prediction curve, and then the prediction total deviation curve can be determined, and the curve can represent prediction total deviations of future time points;

[0149] In the embodiment, the number of the set number of points can be 3 or 5, which is not limited; the time point corresponding to the predicted total deviation less than the preset value on the target section can be determined by first screening all the coordinate points corresponding to the predicted total deviation less than the preset value on the target section, then sorting the screened coordinate points in the order of the corresponding predicted total deviation from small to large, and then selecting the first set number of coordinate points in the sequence as the target coordinate points, and the spectrophotometer can be controlled to detect at the time point corresponding to the target coordinate points.

[0150] The technical features of the above embodiments can be combined arbitrarily, and to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combinations of the technical features do not exist contradictory, they should be considered as the scope of the present application.

[0151] The above embodiments only express several embodiments of the present application, the description is more specific and detailed, but it should not be understood as the limitation of the scope of the present application. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, some modifications and improvements can be made, which are all within the protection scope of the present application. Therefore, the protection scope of the present application patent should be subject to the appended claims.

Claims

1. A method for integrating and analyzing detection data, characterized in that, The method includes: S1: The curve showing the influence of the current fluctuation of the light source on the light intensity of the light source is determined as the first influence curve; S2: The curve showing the influence of detector current fluctuation on the detected value is designated as the second influence curve; S3: Determine the absorbance deviation model based on the first and second influence curves; S4: After the spectrophotometer starts running, monitor the current fluctuations of the light source and the detector. S5: After the first absorbance detection, retrieve the first and second currents during the detection, and determine the total deviation of the current on the absorbance by combining the absorbance deviation model. Use this total deviation as the target total deviation. Here, the first current is the current of the light source, and the second current is the current of the detector. S6: Determine the development trend of the first current and the development trend of the second current in order to determine the total prediction deviation at each future moment; S7: Determine several times corresponding to the predicted total deviations where the difference between the predicted total deviation and the target total deviation is less than a preset value; S8: When the determined time is reached, the absorbance is detected, and the concentration of the target substance is determined based on the average of all detected absorbances.

2. The method according to claim 1, characterized in that, The curve defining the effect of current fluctuations in the light source on the light intensity as the first influence curve includes: S11: Inject a preset standard current into the light source and detect the standard luminous intensity of the light source. ; S12: Establish a first coordinate system with the horizontal axis representing the first current fluctuation and the vertical axis representing the light intensity change; S13: Obtain the preset first current fluctuation range for the light source; S14: Take a first current fluctuation from the first current fluctuation range. The first current fluctuation is applied to the light source, and the corresponding light intensity change is monitored. To obtain a coordinate Among them, the change in light intensity The light intensity obtained when the first current fluctuation is applied; S15: Repeat step S14 until the coordinates corresponding to each first current fluctuation in the first current fluctuation range are obtained. S16: Determine the coordinate points corresponding to each coordinate on the first coordinate system, and generate the fitting curve for each coordinate point, i.e., the first influence curve. .

3. The method according to claim 2, characterized in that, The curve showing the influence of detector current fluctuations on the detected value is designated as the second influence curve, which includes: S21: Project light with a preset standard light intensity onto the detector and determine the standard detection value of the detector. ; S22: Establish a second coordinate system with the horizontal axis representing the second current fluctuation and the vertical axis representing the change in the detected value; S23: Obtain the preset second current fluctuation range for the detector; S24: Take one current fluctuation from the second current fluctuation range. The second current fluctuation is applied to the light source, and the corresponding changes in the detected value are monitored. To obtain a coordinate Among them, the change in light intensity , The detected value is obtained due to changes caused by current fluctuations; S25: Repeat step S24 until the coordinates corresponding to each second current fluctuation in the second current fluctuation range are obtained; S26: Determine the coordinate points corresponding to each coordinate on the second coordinate system, and generate the fitting curve for each coordinate point, i.e., the second influence curve. .

4. The method according to claim 3, characterized in that, The deviation model for determining absorbance based on the first and second relationship curves includes: Retrieve the absorbance calculation formula: Where A is absorbance. For the incident light intensity, The intensity of the emitted light; After introducing the effect of current fluctuations, we get: Simplifying, we get: Rearranging terms yields the deviation model: in, For the deviation model, The absorbance after introducing current fluctuations.

5. The method according to claim 4, characterized in that, The steps preceding step S5 also include: Obtain a first threshold value for the current fluctuation of the light source, and a second threshold value for the current fluctuation of the detector; The system determines whether the detector current fluctuation is less than the second critical value when the current fluctuation of the light source is less than the first critical value. If so, the first absorbance detection is performed.

6. The method according to claim 5, characterized in that, By retrieving the first and second currents during detection and combining them with the absorbance deviation model, the total deviation of absorbance caused by the current is determined, including: Calculate the current difference between the first current and the standard current of the light source. ; The current difference between the second current and the standard current of the detector is retrieved. ; Substituting the two current differences into the deviation model yields the total deviation of absorbance caused by the current. .

7. The method according to claim 1, characterized in that, Determine the development trends of the first current and the second current to determine the total prediction deviation at future times, including: Obtain the operating parameters of the spectrophotometer; Retrieve all first current history curves that were run under these operating parameters, and synthesize a first current prediction curve based on the first current history curves; Retrieve all historical second current curves under the operating parameters, and synthesize the second current prediction curve based on the historical second current curves; The total prediction deviation curve is generated based on the first current prediction curve and the second current prediction curve.

8. The method according to claim 7, characterized in that, The first current prediction curve synthesized based on the first current historical curve includes: Align the horizontal axes of each first current history curve; For each horizontal axis, calculate the mean value of the vertical axis of the corresponding point on each first current history curve, thereby determining the horizontal axis and the first predicted coordinate point pointed to by the mean value of the vertical axis. Connect the first prediction coordinate points to form a line to obtain the first current prediction curve; The second current prediction curve synthesized based on the second current history curve includes: Align the horizontal axes of each second current history curve; For each horizontal axis, calculate the mean value of the vertical axis of the corresponding point on each second current history curve, thereby determining the horizontal axis and the second predicted coordinate point pointed to by the mean value of the vertical axis. Connecting the second prediction coordinate points with a line yields the second current prediction curve.

9. The method according to claim 7, characterized in that, The first current prediction curve and the second current prediction curve have the same horizontal axis, both representing time, where the starting time is the moment the spectrophotometer begins operation; the total prediction deviation curve generated based on the first and second current prediction curves includes: Generate a time-to-total-prediction-deviation coordinate system, where the abscissa of the time-to-total-prediction-deviation coordinate system is the same as the abscissa of the current prediction curve; For each moment, determine the first current corresponding to that moment on the first current prediction curve, determine the second current corresponding to that moment on the second current prediction curve, substitute the determined first current and second current into the deviation model to calculate the total prediction deviation corresponding to that moment, and obtain a coordinate point on the time-total prediction deviation coordinate system. Connect the coordinate points on the time-to-total-prediction-deviation coordinate system to obtain the total-prediction-deviation curve.

10. The method according to claim 7, characterized in that, The time points corresponding to the predicted total deviations where the difference from the target total deviation is less than a preset value include: Determine the time interval between the current moment and the start time of the spectrophotometer's operation; Based on this interval, the time corresponding to the current time is determined on the total prediction deviation curve. The segment of the total prediction deviation curve after this time is the target segment, which represents the total prediction deviation at future times. Determine the time points in the target segment where the difference between the predicted total deviation and the target total deviation is less than a preset value.

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