Microfluidic instrument curve calibration method, instrument, and storage medium

Abstract

The present application relates to the technical field of microfluidic water quality detection, and proposes a microfluidic instrument curve calibration method, comprising the following steps: adding a standard sample liquid with a known concentration to a detection pool of a centrifugal base, and obtaining a standard curve of a microfluidic instrument; obtaining a rated rotation deviation of the centrifugal base, and performing photoelectric detection on the microfluidic instrument within the rated rotation deviation with a predetermined step length to obtain a plurality of absorbance data of the standard sample liquid; removing the data with deviation from the plurality of absorbance data, and bringing the remaining absorbance data into the standard curve to calculate a measured concentration; comparing the relative error between the known concentration and the measured concentration of the standard sample liquid, and using the measured concentration with a relative error exceeding a rated threshold to correct the coefficient in the standard curve. The present application corrects the original standard curve coefficient according to the actual measured concentration, so that the original standard curve adapts to the hardware state of the instrument after long-term use.

Description

Technical Field

[0001] This invention relates to the field of microfluidic water quality detection technology, and in particular to a microfluidic instrument-based curve calibration method, instrument, and storage medium. Background Technology

[0002] Microfluidic technology, with its advantages of micro-volume reaction, multi-index integration, and high detection efficiency, has become an important development direction in the field of water quality testing. Compared with the design of independent detection units for each index in traditional water quality testing, microfluidic instruments integrate detection reactions such as oxidation-reduction, reagent mixing, and centrifugation color development into the chip chamber by carrying microfluidic chips with different detection indicators. With the fluid drive of the centrifugal motor and the signal acquisition of the photoelectric detection module, integrated and automated detection of multiple water quality indicators can be realized, which greatly simplifies the detection process and improves the portability and efficiency of water quality testing.

[0003] To achieve accurate quantification of water sample concentration, microfluidic instruments are pre-stored with standard curves of standard concentration and absorbance during manufacturing or calibration. During the detection process, the absorbance data of the water sample is acquired through the photoelectric detection module, and the concentration value can be quickly calculated by substituting it into the standard curve.

[0004] However, during long-term use, the core hardware of microfluidic instruments inevitably experiences performance degradation. On the one hand, optical or circuit components such as light-emitting devices, PD photoelectric conversion probes, and power supply regulator chips will naturally decay, causing signal loss during the transmission of light signals from emission to reception. This results in the detected absorbance values ​​deviating from the actual values, leading to deviations in concentration calculation results. On the other hand, the centrifugal motor that drives the fluid movement of the chip will experience mechanical wear due to long-term operation. Even with an infrared sensor for origin positioning, it will still produce positioning accuracy deviations below the millimeter level, causing the chip detection cell to be unable to accurately align with the center of the photoelectric detection optical path, further affecting the accuracy of absorbance data acquisition.

[0005] Therefore, a microfluidic instrument curve calibration method, instrument, and storage medium are proposed, which can solve the technical problem that the pre-stored standard curves of existing microfluidic instruments and equipment are no longer applicable after long-term use due to the decay of optical components or the positioning accuracy deviation of centrifugal motors. Summary of the Invention

[0006] In view of this, the present invention proposes a microfluidic instrument curve calibration method, instrument and storage medium, which can realize abnormal data filtering, adaptive correction of positioning drift and update the standard curve calibration technology, thereby solving the technical problem of standard curve failure caused by hardware decay and positioning drift after long-term use of existing microfluidic instruments.

[0007] This invention proposes a curve calibration method based on microfluidic instruments, comprising the following steps: Add standard sample solution of known concentration to the detection cell of the centrifuge tray to obtain the standard curve of the microfluidic instrument; The rated rotational deviation of the centrifuge chassis is obtained, and within the rated rotational deviation, photoelectric detection is performed using a microfluidic instrument at a predetermined step size to obtain several absorbance data of the standard sample solution. After removing some data with deviations from the absorbance data, the remaining absorbance data are substituted into the standard curve to calculate the measured concentration. By comparing the relative error between the known concentration and the measured concentration of the standard sample solution, the coefficient in the standard curve is corrected using the measured concentration where the relative error exceeds the rated threshold.

[0008] Based on the above technical solution, preferably, the method of determining the offset direction of the centrifuge chassis based on the interval stability of several absorbance data includes: If the absorbance data exhibits range stability within the preset detection location range, the average absorbance of the stable range can be selected as the valid value and the valid sampling range can be updated. If the absorbance data does not exhibit interval stability, it is determined to be another hardware failure of the centrifugal chassis.

[0009] Based on the above technical solution, preferably, the effective sampling range is determined according to the offset direction of the centrifuge chassis, including: If the centrifugal chassis is offset to the left, the left stable absorbance interval of the preset detection position interval is selected as the effective sampling range, and the average absorbance within this interval is calculated as the effective value. If the centrifuge chassis is offset to the right, the right stable absorbance interval of the preset detection position interval is selected as the effective sampling range, and the average absorbance within this interval is calculated as the effective value. The effective sampling range is then updated to the microfluidic instrument, serving as the sampling reference for subsequent photoelectric detection by the microfluidic instrument.

[0010] Based on the above technical solution, preferably, when removing a number of absorbance data, the following steps are taken: setting an absorbance deviation threshold, first calculating the mean of all absorbance data within a preset interval, then calculating the deviation of each absorbance relative to the mean, removing abnormal absorbance data whose deviation exceeds the deviation threshold, and recalculating the mean absorbance using the remaining valid data.

[0011] Based on the above technical solution, preferably, when correcting the coefficients of the standard curve, the following is included: Calculate the relative error between the measured concentration and the known concentration. If the relative error exceeds the rated threshold, replace the built-in data points of the corresponding interval according to the first-in-first-out principle based on the concentration interval, and then update the standard curve coefficients. If the relative error is less than the rated threshold, only the data from this test will be recorded, and the curve coefficients will not be updated.

[0012] Based on the above technical solution, preferably, the rated threshold is 10%.

[0013] Based on the above technical solution, preferably, the updated standard curve coefficients include: using absorbance as the independent variable and the known concentration of the standard sample solution as the dependent variable, utilizing all the built-in data points corresponding to absorbance and concentration after replacement, and minimizing the sum of squared errors of the data corresponding to absorbance and concentration using the least squares method to obtain the coefficients of the standard curve.

[0014] Based on the above technical solution, preferably, the known concentration of the standard sample solution corresponds to at least four intervals of the range of the microfluidic instrument.

[0015] On the other hand, the present invention also provides a microfluidic instrument having a processor and a memory, the memory storing a computer program, wherein the computer program, when executed by the processor, implements the aforementioned microfluidic instrument-based curve calibration method.

[0016] On the other hand, the present invention also provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer detection program, which, when executed by at least one processor, implements the aforementioned microfluidic instrument-based curve calibration method.

[0017] The present invention provides a microfluidic instrument-based curve calibration method, instrument, and storage medium, which, compared with the prior art, have the following advantages: (1) By acquiring the absorbance data of the current microfluidic instrument for the standard sample solution and processing the data to obtain the actual measured concentration of the current microfluidic instrument, the original standard curve coefficient is corrected according to the actual measured concentration, so that the original standard curve can be adapted to the hardware state after long-term use of the instrument. This breaks through the traditional microfluidic instrument calibration mode that only relies on hardware replacement or complex redrawing of curves, and realizes the accurate calibration of the standard curve at the software level. There is no need to replace optical, rotating and other hardware components, which greatly reduces the maintenance cost and professional operation requirements of the instrument, ensures the accuracy of the microfluidic instrument in detecting water sample concentration, and extends the maintenance cycle of the instrument. (2) Based on the interval stability of several absorbance data, the centrifugal chassis positioning drift can be quickly identified and the fault can be distinguished. It is clear that when the absorbance has no interval stability, it is another hardware fault. The calibration adaptation scenario and the hardware fault scenario can be accurately distinguished. This avoids the invalid calibration of non-aging and non-drift hardware faults by this calibration method. The fault type can be quickly located and the equipment can be maintained in a targeted manner. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a perspective view of a microfluidic instrument according to the present invention; Figure 2 This is a top view of a centrifugal chassis in three states according to the present invention; Figure 3 This is a flowchart illustrating the steps of a microfluidic instrument-based curve calibration method according to the present invention. Figure 4 This is a flowchart of a microfluidic instrument-based curve calibration method according to the present invention. Figure 5 This is a graph showing the absorbance data of the marked point, the left offset, and the right offset in this invention. Figure 6 This is a coordinate graph of the new curve fitted by the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0021] In the description of the embodiments of the present invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in the embodiments of the present invention based on the specific circumstances.

[0022] In the description of the embodiments of the present invention, it should be noted that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of the present invention.

[0023] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0024] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0025] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. Additionally, examples of various specific processes and materials are provided in this invention; however, those skilled in the art will recognize the applicability of other processes and / or the use of other materials.

[0026] The technical solution was explained, and it was found that after long-term use, the pre-stored standard curves of existing microfluidic instruments and equipment were no longer applicable due to the decay of optical components or the positioning accuracy deviation of centrifugal motors.

[0027] In view of this, such as Figure 1 As shown, an assembly diagram of the centrifuge chassis 100 and the microfluidic chip 200 is presented. Figure 2The diagram shows top views of the centrifuge chassis 100 facing the marked point, with left and right offsets. When facing the marked point, the microfluidic chip 200 and the centrifuge chassis 100 are at the center point, with an angle equal to θ. The rated offset angle is equal to θ'. Within the rated offset range [θ-θ', θ+θ'], the optical signal can completely penetrate the detection cell area without obstruction. Figure 3 As shown, this invention provides a curve calibration method based on microfluidic instruments, comprising the following steps:

[0028] S1. Add standard sample solution of known concentration to the detection cell of centrifuge tray 100 to obtain the standard curve of microfluidic instrument 200; S2. Obtain the rated rotational deviation of the centrifuge chassis 100, and within the rated rotational deviation, use a microfluidic instrument 200 to perform photoelectric detection at a predetermined step size to obtain several absorbance data of the standard sample solution. S3. Remove some absorbance data that have deviations, and use the remaining absorbance data to calculate the measured concentration using the standard curve. S4. Compare the relative errors between the known concentration and the measured concentration of the standard sample solution, and use the measured concentration with a relative error exceeding the rated threshold to correct the coefficients in the standard curve.

[0029] By acquiring the absorbance data of the current microfluidic instrument 200 for standard sample solutions and processing the data to obtain the actual measured concentration of the current microfluidic instrument 200, the original standard curve coefficient is then corrected based on the actual measured concentration. This allows the original standard curve to adapt to the hardware state of the instrument after long-term use, breaking through the traditional microfluidic instrument calibration mode that relies solely on hardware replacement or complex curve redrawing. It achieves accurate standard curve calibration at the software level without the need to replace optical, rotating, or other hardware components, significantly reducing the instrument's maintenance costs and professional operation requirements. This ensures the accuracy of the microfluidic instrument 200 in detecting water sample concentrations and extends the instrument's maintenance cycle.

[0030] Specifically, in step S1, the standard curve for the microfluidic instrument 200 is constructed as follows: The standard curve contains a built-in data point set, where the absorbance sequence is ΔA=[ The corresponding concentration standard solution sequence is y. p '=[ ], ΔA is the absorbance detection value of the i-th group, y p 'This is the known standard concentration value corresponding to the absorbance, and the number of data points is no less than four sets.'

[0031] To ensure full-range detection accuracy, the concentration values ​​of all built-in data points must be distributed within at least four ranges of the instrument's range: 0–20%, 20–50%, 50–80%, and 80–100%, with each range containing at least two sets of valid data points.

[0032] Using absorbance value ΔA as the independent variable and corresponding standard concentration value y p ' is the dependent variable, and the least squares method is used to fit the linear standard curve y. p '= a ×ΔA+ b By minimizing the sum of squared errors of all data points, the optimal functional relationship matching the measured data is found, and the initial curve coefficients are obtained. a (Slope) and b (Intercept), and used as the standard curve for the microfluidic instrument 200 after factory manufacturing or calibration.

[0033] like Figure 2 and Figure 5 As shown, in order to quickly distinguish the degree of failure of the current microfluidic instrument 200, the offset direction of the centrifuge chassis 100 is determined based on the interval stability of several absorbance data, including: If the absorbance data exhibits range stability within the preset detection location range, the average absorbance of the stable range can be selected as the valid value and the valid sampling range can be updated. If the absorbance data does not exhibit interval stability, it is determined to be another hardware failure of the centrifuge chassis 100. Figure 5 θ b With θ c The values ​​cannot exceed [θ-θ', θ+θ'], because θ and θ' are parameters obtained by positioning the infrared sensor at the origin. If a stable absorbance value is found within the entire positioning range of [θ-θ', θ+θ'], then it is due to other hardware failures.

[0034] Based on the range stability of several absorbance data, the centrifugal chassis 100 positioning drift can be quickly and accurately identified and the fault can be distinguished. It is clear that when the absorbance has no range stability, it is due to other hardware faults. This achieves accurate differentiation between calibration adaptation scenarios and hardware fault scenarios, avoids invalid calibration of non-aging and non-drift hardware faults by this calibration method, and can quickly locate the fault type for targeted maintenance of the equipment.

[0035] like Figure 5 As shown, the effective sampling range is determined according to the offset direction of the centrifuge chassis 100, including: If the centrifugal chassis 100 deviates to the left, then there must exist a point θ. b And θ-θ'<θ b <θ;According to the appendix Figure 5 As can be seen in [θ-θ', θb The absorbance is basically stable within the range of θ, so this range can be selected as the effective sampling range. b The absorbance decreases significantly within the range of [θ-θ'], and the absorbance within the range of [θ-θ'] decreases significantly. b The average absorbance within the range And update the sampling range to [θ-θ', θ b ].

[0036] If the centrifugal chassis 100 deviates to the right, then there must exist a point θ. c , and θ < θ c <θ+θ', according to the appendix Figure 5 As can be seen in [θ] c The absorbance is basically stable within the range [θ-θ', θ'], so this range can be selected as the effective sampling range. c The internal absorbance decreased significantly, and [θ] was calculated. c The mean absorbance of different values ​​within the range of θ+θ'] And update the sampling range to [θ c ,θ+θ').

[0037] After determining the offset direction of the centrifugal chassis 100, the effective sampling range can be updated to the microfluidic instrument 200, serving as the sampling reference for subsequent photoelectric detection by the microfluidic instrument 200.

[0038] By adapting and selecting the corresponding stable absorbance range according to the different offset directions of the centrifugal chassis 100 to the left and right, the adaptive and precise compensation for positioning drift is realized, which solves the problem of absorbance data deviation caused by traditional calibration not considering the offset direction and only selecting a range.

[0039] When removing some absorbance data, the process includes: setting an absorbance deviation threshold, first calculating the mean of all absorbance data within a preset range, then calculating the deviation of each absorbance relative to the mean, removing abnormal absorbance data whose deviation exceeds the deviation threshold, and recalculating the mean absorbance using the remaining valid data.

[0040] Specifically, the deviation threshold is set to δ. The number of sampling points is first determined based on the latest effective sampling range, and the number of sampling points is n = 2 × θ' / l ,but =[a1、a2…a n ] Next, calculate the arithmetic mean ε1 of the absorbance data from all sampling points, which will serve as a benchmark for judging data deviation. The formula for calculating ε1 is as follows:

[0041] Secondly, calculate the relative deviation rate of each individual absorbance data point relative to the mean. , to quantitatively evaluate the deviation degree of each data point from the overall data distribution, the relative deviation of each absorbance E i has the following calculation formula:

[0042] comparing the relative deviation of each absorbance E i with a preset deviation threshold δ, and eliminating Ei m abnormal absorbance data satisfying >δ (m<n), retaining the remaining valid data points, and finally recalculating the average value for the remaining valid absorbance data to obtain a valid absorbance average value used for subsequent concentration calculation , wherein m<n.

[0043] By setting a deviation threshold, calculating the full-interval average value, determining the relative deviation value, and eliminating partial abnormal data, the accuracy of the absorbance average value is improved.

[0044] In order to accurately update the standard curve coefficients, when correcting the coefficients of the standard curve, the method comprises: calculating the relative error between the measured concentration and the known concentration, if the relative error exceeds a rated threshold, replacing the built-in data points in the corresponding interval according to a first-in first-out principle based on the interval where the concentration is located, and then updating the standard curve coefficients; if the relative error is less than the rated threshold, only the current detection data is recorded, and the curve coefficients are not updated.

[0045] Substituting into the standard curve y p '= a ×ΔA+b, and letting ΔA = to calculate the measured concentration y p ' θ . Input the known concentration y of the current standard sample solution p ', if y p ' θ and y p ' has an error exceeding the relative error, add ΔA and y p ' into the standard curve to update the standard curve coefficients.

[0046] Calculate the measured concentration y p ' θ and the known concentration y p ' the relative error of E , the formula is:

[0047] This formula reflects the degree of deviation between the measurement result and the true value. The rated threshold is 10%. If this value is exceeded, the test result is considered to have deviated from the actual requirements, and the standard curve needs to be corrected. When the relative error... E When the value is greater than 10%, the standard curve update process is triggered.

[0048] The specific correction trigger conditions and data point update rules for the standard curve coefficients were clarified, enabling scientific and dynamic updates of the standard curve. On the one hand, by calculating the relative error and setting a rated threshold, frequent updates of the curve caused by small concentration deviations were avoided, ensuring the stability of the standard curve. On the other hand, by replacing data points according to the concentration range and following the first-in-first-out principle, the timeliness and representativeness of the built-in data points in each range were ensured, allowing the updated standard curve to accurately adapt to the hardware status across the entire instrument range, thus improving the accuracy of the curve in detecting water samples of different concentrations.

[0049] Specifically, updating the standard curve coefficients involves: using absorbance as the independent variable and the known concentration of the standard sample solution as the dependent variable, utilizing all the built-in data points corresponding to absorbance and concentration after replacement, and minimizing the sum of squared errors of the data corresponding to absorbance and concentration using the least squares method to obtain the coefficients of the standard curve, so that the updated curve is adapted to the current hardware status of the instrument.

[0050] The known concentration of the standard sample solution corresponds to at least four intervals of the 200 range of the microfluidic instrument.

[0051] The coverage of four measurement ranges ensures that the standard curve has sufficient representative data points to support it in different concentration ranges of low, medium and high. This allows the fitted standard curve to accurately calculate the water sample concentration across the entire measurement range, avoiding the problem of excessive deviation in the non-fitting range caused by fitting data points from a single concentration range.

[0052] A detailed embodiment of the regulation of the present invention: A microfluidic instrument for detecting total nitrogen, with a range of 0-5 mg / L. Calibration points are pre-stored at the factory, distributed according to the following concentration ranges:

[0053]

[0054] Based on the parameters in the table above, a standard curve can be fitted: y p =32.55×ΔA-0.45 The preset positioning parameters are: 10,000 pulses corresponding to a 100° rotation of the centrifuge chassis from 0° to 360°, positioning center θ = 73.728°, offset threshold θ' = 0.144°, and scanning step size. l =0.036°, set the deviation threshold δ=0.08, and the number of sampling points is n=2×θ' / l ; Take a standard sample solution from a microfluidic instrument that has been running continuously for more than one year. Operators should periodically use the standard sample solution to calibrate the instrument. The process is as follows: First test (5.0 mg / L standard solution)

[0055] At the positioning point of 73.872°, the relative deviation of absorbance is 0.132. E i It is 0.1681, of which E i If the absorbance is greater than δ, the absorbance of 0.132 will be discarded. Based on the stability of several data points, it can be determined that the device is right-biased, and the average absorbance value within the stable range will be taken.

[0056] =(0.156+0.157+0.167+0.165+0.164+0.166+0.162+0.159) / 8=0.162; Substitute the previously fitted standard curve: y p =32.55×0.162-0.45=4.823mg / L relative error E =|4.823-5.0| / 5.0=3.5%, below the 10% threshold, no update, the system records the location range [θ-θ', θ] of this detection data. c ] = [73.584°, 73.836°]; Second test (2.0 mg / L standard solution): Measured average absorbance =0.073, calculated as follows: y p =32.55×0.073-0.45=1.926mg / L error E =3.7%, no update, the system records the location range of this detection data.

[0057] Note: The centrifuge chassis 100 has slightly shifted to the right, but this does not affect the detection.

[0058] After a period of time, the microfluidic instrument was used for a third test (5.0 mg / L standard sample solution): Measured average absorbance =0.148, calculated as follows: y p =32.55×0.148-0.45=4.367mg / L errorE =12.7%, exceeding the nominal threshold of 10%, triggering a standard curve update.

[0059] Standard curve self-adjustment process: Step 1: Determine the range to which the data points belong New testing site (A=0.148, y p The concentration value of 5.0 mg / L (=5.0) falls within the 80%-100% range (4-5 mg / L).

[0060] Step 2: Update the embedded data points within the interval (FIFO) The original interval contained two data points: (0.1521, 4.5) and (0.1675, 5.0). Following the first-in, first-out (FIFO) principle, assuming (0.1521, 4.5) was stored earlier, it will be replaced by the new data point (0.148, 5.0). The updated data points for each interval are as follows:

[0061] Interval 1 (0-1 mg / L): (0.0292, 0.5), (0.0384, 0.8); Interval 2 (1-2.5 mg / L): (0.0522, 1.25), (0.0753, 2.0); Interval 3 (2.5-4 mg / L): (0.1060, 3.0), (0.1214, 3.5); Interval 4 (4-5 mg / L): (0.1675, 5.0), (0.148, 5.0); Step 3: Update the coefficients in the standard curve like Figure 6 As shown, the system uses all eight current data points and refits the curve using the least squares method to obtain new curve coefficients: a≈34.438, b≈-0.546 Depend on Figure 6 As can be seen, in the range of (4-5 mg / L), the two points (0.1675, 5.0) and (0.148, 5.0) both use 5.0 mg / L, with corresponding absorbance values ​​of 0.1675 and 0.148 respectively, although there seems to be a conflict. Concentration value calculated from the old curve: y p '=32.55×0.148-0.45=4.367mg / L; Concentration value calculated from the new curve: y p '=34.438×0.148-0.546=4.551mg / L; However, based on the concentration values ​​calculated from the new and old curves, it can be seen that 4.551 mg / L is closer to the concentration value of 5.0 mg / L than 4.367 mg / L. Continuing to perform 4-8 more iterations will completely update the curve to the most suitable parameters.

[0062] This invention primarily targets microfluidic instruments that have been used for a period of time, where hardware or optical path degradation has occurred, but the extent of degradation is unclear, and the possibility of continued normal use is uncertain. Without disassembling and reassembling the entire device, spending considerable time retesting all hardware, circuits, and optical paths, or recalibrating all standard curves, this method gradually updates and iterates the instrument's built-in standard curves. This allows the standard curves to adjust synchronously with the degree of hardware or optical path degradation, enabling the instrument to automatically measure relatively stable absorbance values, thus allowing it to continue meeting the requirements for subsequent water sample testing.

[0063] This application provides a microfluidic instrument, which has a processor and a memory; the memory stores a computer program, wherein the computer program, when executed by the processor, implements the above-mentioned curve calibration method based on the microfluidic instrument.

[0064] Specifically, the processor may include, for example, a general-purpose microprocessor, an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor may also include onboard memory for caching purposes. The processor may be a single processing unit or multiple processing units for performing different actions of the method flow according to embodiments of this application.

[0065] Memory can be any medium capable of containing, storing, transmitting, propagating, or transmitting instructions. For example, memory can include, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, instruments, or propagation media. Specific examples of memory include: magnetic storage devices such as magnetic tape or hard disk drives (HDDs); optical storage devices such as optical discs (CD-ROMs); and also random access memory (RAM) or flash memory; and / or wired / wireless communication links.

[0066] This application also provides a computer-readable storage medium storing a computer testing program. When executed by at least one processor, the computer testing program implements the aforementioned microfluidic instrument-based curve calibration method. This computer-readable medium may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into that device / apparatus / system. The aforementioned computer-readable medium carries one or more programs, which, when executed, implement the method of the embodiments of this application.

[0067] According to embodiments of this application, a computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wired, optical fiber, radio frequency signals, etc., or any suitable combination thereof.

[0068] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A curve calibration method based on microfluidic instruments, characterized in that, Includes the following steps: Add standard sample solution of known concentration to the detection cell of the centrifuge tray to obtain the standard curve of the microfluidic instrument; The rated rotational deviation of the centrifuge chassis is obtained, and within the rated rotational deviation, photoelectric detection is performed using a microfluidic instrument at a predetermined step size to obtain several absorbance data of the standard sample solution. After removing some data with deviations from the absorbance data, the remaining absorbance data are substituted into the standard curve to calculate the measured concentration. By comparing the relative error between the known concentration and the measured concentration of the standard sample solution, the coefficient in the standard curve is corrected using the measured concentration where the relative error exceeds the rated threshold.

2. The microfluidic instrument-based curve calibration method as described in claim 1, characterized in that, The offset direction of the centrifuge chassis is determined based on the interval stability of several absorbance data, including: If the absorbance data exhibits range stability within the preset detection location range, the average absorbance of the stable range can be selected as the valid value and the valid sampling range can be updated. If the absorbance data does not exhibit interval stability, it is determined to be another hardware failure of the centrifugal chassis.

3. The microfluidic instrument-based curve calibration method as described in claim 2, characterized in that, The effective sampling range is determined based on the offset direction of the centrifuge chassis, including: If the centrifugal chassis is offset to the left, the left stable absorbance interval of the preset detection position interval is selected as the effective sampling range, and the average absorbance within this interval is calculated as the effective value. If the centrifuge chassis is offset to the right, the right stable absorbance interval of the preset detection position interval is selected as the effective sampling range, and the average absorbance within this interval is calculated as the effective value. The effective sampling range is then updated to the microfluidic instrument, serving as the sampling reference for subsequent photoelectric detection by the microfluidic instrument.

4. The microfluidic instrument-based curve calibration method as described in claim 3, characterized in that, When removing some absorbance data, the process includes: setting an absorbance deviation threshold, first calculating the mean of all absorbance data within a preset range, then calculating the deviation of each absorbance relative to the mean, removing abnormal absorbance data whose deviation exceeds the deviation threshold, and recalculating the mean absorbance using the remaining valid data.

5. The microfluidic instrument-based curve calibration method as described in claim 3, characterized in that, When correcting the coefficients of the standard curve, the following should be included: Calculate the relative error between the measured concentration and the known concentration. If the relative error exceeds the rated threshold, replace the built-in data points of the corresponding interval according to the first-in-first-out principle based on the concentration interval, and then update the standard curve coefficients. If the relative error is less than the rated threshold, only the data from this test will be recorded, and the curve coefficients will not be updated.

6. The microfluidic instrument-based curve calibration method as described in claim 5, characterized in that, The rated threshold is 10%.

7. The microfluidic instrument-based curve calibration method as described in claim 5, characterized in that, The updated standard curve coefficients include: using absorbance as the independent variable and the known concentration of the standard sample solution as the dependent variable, utilizing all the built-in data points corresponding to absorbance and concentration after replacement, and minimizing the sum of squared errors of the data corresponding to absorbance and concentration using the least squares method to obtain the coefficients of the standard curve.

8. The microfluidic instrument-based curve calibration method as described in claim 1, characterized in that, The known concentration of the standard sample solution corresponds to at least four intervals of the range of the microfluidic instrument.

9. A microfluidic instrument, characterized in that, The microfluidic instrument has a processor and a memory, the memory storing a computer program, wherein the computer program, when executed by the processor, implements the microfluidic instrument-based curve calibration method as described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer testing program, which, when executed by at least one processor, implements the microfluidic instrument-based curve calibration method as described in any one of claims 1-8.

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