A methylene blue intrinsic pH response coefficient library-based model dye material evaluation correction method

Abstract

The present application belongs to the technical field of material testing, and particularly relates to a model dye material evaluation correction method based on a methylene blue intrinsic pH response coefficient library, which comprises the following steps: obtaining the original state pH and multi-channel original state measured parameters of a system before adding an exogenous material, and the final state pH and multi-channel final state measured parameters at the end of the action; searching the intrinsic response coefficient library compiled from the spectral correction and electrochemical intrinsic parameters under discrete pH, and deducing multi-channel unbiased parameters; calculating the deviation degree of the final state measured parameters and the unbiased parameters, generating each deviation parameter and potential normalization parameter; configuring weights to each deviation and normalization parameter and performing absolute value weighted summation to obtain a comprehensive index; based on the comprehensive index and the above parameters, combining a preset threshold and a channel interlocking algorithm to construct a binary array for Boolean logic judgment, and outputting an evaluation result, a risk level and a review prompt. The present application strips the intrinsic signal interference, and improves the rating accuracy and the anti-interference degree.

Description

Technical Field

[0001] This invention relates to the field of materials testing technology. More specifically, this invention relates to a method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue. Background Technology

[0002] Material performance evaluation often relies on dye molecules as physicochemical probes, using their spectral and electrochemical response characteristics to analyze the effectiveness of target materials or catalysts.

[0003] Existing detection methods mostly adopt a single-channel direct reading mode, that is, directly collect the absorbance, fluorescence photon number or cyclic voltammetry curve of the target solution at a specific wavelength, and equate the attenuation or enhancement of the apparent signal value to the net contribution of the exogenous material.

[0004] However, this observation method is susceptible to intrinsic signal drift interference in actual tests, and the error accumulates as the observation dimension expands.

[0005] First, at the basic preparation level, the volume difference in the working fluid caused by the addition of acid and alkali solutions can lead to random drift in the basic signal. Existing methods obtain response parameters when the effective concentration values ​​are not aligned, lacking a unified judgment standard, and are prone to misinterpreting the signal attenuation caused by concentration dilution as the adsorption efficiency of the target material.

[0006] Secondly, the optical response of probe molecules depends on the acid-base microenvironment, resulting in endogenous optical distortions. In the UV-Vis spectroscopy dimension, a strongly alkaline environment induces chromophore configurational recombination, leading to an endogenous attenuation of the characteristic absorption peak intensity. Single-channel methods, failing to isolate this attenuation, easily mistake it for physical degradation by exogenous materials. In the emission spectroscopy dimension, strongly alkaline conditions trigger luminescence energy level transitions, causing a nonlinear shift in internal fluorescence intensity. Without benchmark calibration, this signal shift can easily be misinterpreted as luminescence gain introduced by the material.

[0007] Furthermore, in solid-liquid interface charge transfer analysis, the redox electron transfer process at the interface is controlled by the proton concentration gradient. The shift of the acid-base gradient forces a spatial shift in the reaction equilibrium potential point, resulting in an endogenous shift and polarization broadening of the reaction peak potential. Traditional single-interface electrophysiological methods do not separate the intrinsic drift introduced by the potential slip between the solid and liquid phases, and are prone to misinterpreting proton-driven potential deviations as indicating that the target material has catalytic acceleration capabilities. Summary of the Invention

[0008] To address the technical problem of existing single-channel direct-reading techniques lacking an intrinsic response subtraction mechanism and failing to effectively remove intrinsic signal drift caused by pH fluctuations, thus leading to distorted material performance ratings, this invention provides a model dye material evaluation and correction method based on a methylene blue intrinsic pH response coefficient library. The method includes: obtaining the original pH of the system before the addition of the exogenous material, and simultaneously recording the original absorbance, fluorescence, half-wave potential, anodic current, and cathodic current as multi-channel original measured parameters; obtaining the final pH at the end of the material's action phase, and simultaneously recording the final absorbance, fluorescence, half-wave potential, anodic current, and cathodic current as multi-channel final measured parameters; and based on the original and final pH, retrieving a pre-constructed intrinsic response coefficient library to deduce corresponding multi-channel unbiased parameters. The pre-constructed intrinsic response coefficient library is derived from multiple sets of discrete pH values, extracting spectral correction parameters and extracting electrochemical parameters. Intrinsic parameters are generated; based on the numerical deviation between the measured parameters of the multi-channel final state and the corresponding unbiased parameters of the multi-channel, ultraviolet deviation parameters, fluorescence deviation parameters, potential deviation parameters, and electrochemical deviation parameters including anodic and cathodic deviation parameters are calculated and generated respectively. The absolute value of the potential deviation parameter is divided by the reference potential to perform dimensional normalization processing to generate the potential normalization parameter; a comprehensive function is constructed to assign channel weights of corresponding dimensions to the ultraviolet deviation parameter, fluorescence deviation parameter, electrochemical deviation parameter, and potential normalization parameter, and a multi-dimensional joint absolute value weighted summation operation is performed to obtain the comprehensive index; based on the comprehensive index and the ultraviolet deviation parameter, fluorescence deviation parameter, electrochemical deviation parameter, and potential normalization parameter, a binary array is constructed by setting a preset judgment threshold and Boolean logic judgment is performed. The channel interlocking algorithm is used to generate an anti-interference correction evaluation system, and the corrected material evaluation results, misjudgment risk level, and review prompts are output.

[0009] Preferably, the comprehensive index satisfies the following relationship:

[0010] ; In the formula, The comprehensive index, Assign weights to the ultraviolet channel. Assign weights to the fluorescence channels. Assign weights to the potential channels. Assign weights to electrochemical channels. The ultraviolet deviation parameter is mentioned above. The fluorescence deviation parameter is... The potential deviation parameter is... The reference potential is given. The anodic deviation parameter is extracted from the electrochemical deviation parameter. The cathode deviation parameter is extracted from the electrochemical deviation parameter.

[0011] Preferably, the pre-constructed intrinsic response coefficient library includes: preparing a basic response solution with a preset effective concentration value; adding acidic or alkaline additives to the basic response solution in different containers to generate dye response solutions under multiple different acid-base conditions, and maintaining the effective concentration values ​​of multiple solutions under the same batch test conditions; extracting dye response solutions without added acidic or alkaline additives to generate a reference standard solution; recording the initial pH value associated with the reference standard solution as the reference pH value, and simultaneously extracting the absolute values ​​of the corresponding reference absorbance, reference fluorescence, reference half-wave potential, reference anodic current, and reference cathodic current as reference characteristic parameters.

[0012] Preferably, the spectral correction parameters include an ultraviolet correction value and a maximum absorption wavelength. Extracting the spectral correction parameters includes: performing ultraviolet spectral scanning on the dye response solution under different acid-base conditions to obtain the mapping relationship between the detection wavelength and the distributed absorbance, generating an absorbance function; accumulating the distributed absorbance corresponding to each detection wavelength within a preset absorption frequency band and dividing by the total number of wavelength nodes to generate a characteristic absorbance; extracting the wavelength corresponding to the maximum value in the absorbance function as the maximum absorption wavelength; dividing the characteristic absorbance by the reference absorbance to calculate the ultraviolet correction value; the characteristic absorbance and the ultraviolet correction value satisfy the following relationship:

[0013] ;

[0014] ; In the formula, Characteristic absorbance, This represents the total number of wavelength nodes. To detect wavelength, To distribute absorbance, This is the UV correction value. As the baseline absorbance, The baseline pH level is used.

[0015] Preferably, the spectral correction parameters further include a fluorescence correction value and a fluorescence abrupt change level. The extraction of the spectral correction parameters includes: applying excitation light to the dye response solution and collecting the emission spectrum to generate a fluorescence distribution function; calculating the arithmetic mean of the discrete fluorescence intensity corresponding to multiple discrete emission wavelengths within a preset fluorescence frequency band to obtain the frequency band fluorescence intensity; dividing the frequency band fluorescence intensity by the reference fluorescence amount to calculate the fluorescence correction value; and calculating the absolute value of the difference between the fluorescence correction value and the constant 1 to generate the fluorescence abrupt change level.

[0016] Preferably, the intrinsic electrochemical parameters include a potential difference value, an anodic correction value, and a cathode correction value. The extraction of the intrinsic electrochemical parameters includes: applying a cyclic scanning potential to the dye response solution to obtain the current trajectory of the working electrode and generating a cyclic voltammetry curve; extracting the anodic peak potential, cathode peak potential, anodic current, and cathode current corresponding to the cyclic voltammetry curve; calculating a half-wave potential by summing the anodic peak potential and the cathode peak potential and obtaining a half-wave potential by taking the half-mean; calculating the potential difference value by subtracting the reference half-wave potential from the half-wave potential; and calculating the anodic correction value and the cathode correction value by dividing the absolute values ​​of the anodic current and the cathode current by the corresponding absolute values ​​of the reference anodic current and the reference cathode current, respectively.

[0017] Preferably, the pre-constructed intrinsic response coefficient library is generated by arranging multiple sets of spectral correction parameters and electrochemical intrinsic parameters extracted under discrete pH conditions. This includes: arranging the extracted UV correction values, maximum absorption wavelengths, fluorescence correction values, fluorescence abrupt change levels, potential difference values, anodic correction values, and cathodic correction values ​​under each discrete pH condition into a unified dimension intrinsic correction array, and then cascading all discrete nodes of the intrinsic correction array to form the intrinsic response coefficient library; when the original pH or the final pH falls within the adjacent low-order and high-order pH intervals in the intrinsic response coefficient library, the low-order calibration parameters corresponding to the low-order pH and the high-order calibration parameters corresponding to the high-order pH are called to perform a first-order linear geometric mapping to generate interpolated estimated values, and the multi-channel unbiased parameters are deduced based on the estimated values; the estimated values ​​satisfy the following relationship:

[0018] ; In the formula, For estimated values, To assess pH level, Low pH level, For higher pH levels, These are low-order calibration parameters. These are high-order calibration parameters.

[0019] Preferably, the deduction to generate corresponding multi-channel unbiased parameters, and the calculation and generation of UV deviation parameters, fluorescence deviation parameters, potential deviation parameters, and electrochemical deviation parameters including anodic and cathodic deviation parameters, respectively, include: the multi-channel unbiased parameters include theoretical absorbance, theoretical fluorescence, theoretical half-wave potential, theoretical anodic current, and theoretical cathodic current; the theoretical absorbance, theoretical fluorescence, theoretical anodic current, and theoretical cathodic current are the absolute values ​​of the original state absorbance, original state fluorescence, original state anodic current, and original state cathodic current, respectively, multiplied by the corresponding dimension's correction ratio in sequence; the corresponding dimension's correction ratio is the UV correction value, fluorescence correction value, anodic correction value, and cathodic correction value corresponding to the final state pH, respectively, divided by the original state pH in sequence. The ratio of the UV correction value, fluorescence correction value, anodic correction value, and cathodic correction value corresponding to the degree; the theoretical half-wave potential is the sum of the difference between the potential difference corresponding to the final state pH and the potential difference corresponding to the original state pH, and the original state half-wave potential; the UV deviation parameter is the value obtained by dividing the difference between the theoretical absorbance and the final state absorbance by the theoretical absorbance; the fluorescence deviation parameter, anodic deviation parameter, and cathodic deviation parameter are the values ​​obtained by subtracting the theoretical fluorescence, theoretical anodic current, and theoretical cathodic current from the final state fluorescence, final state anodic current, and final state cathodic current, respectively, and then dividing them by the theoretical fluorescence, theoretical anodic current, and theoretical cathodic current, respectively; the potential deviation parameter is the difference between the final state half-wave potential and the theoretical half-wave potential.

[0020] Preferably, the step of constructing a binary array by setting a preset judgment threshold and performing Boolean logic judgment, using a channel interlocking algorithm to generate an anti-interference correction evaluation system, and outputting the corrected material evaluation result, misjudgment risk level, and review prompt includes: extracting the absolute values ​​of ultraviolet deviation parameters, fluorescence deviation parameters, potential normalization parameters, anode deviation parameters, and cathode deviation parameters, comparing them with the corresponding preset judgment thresholds to construct a binary array; summing the active Boolean values ​​in the binary array to generate channel support; jointly comparing the channel support and comprehensive index, and outputting the corrected material evaluation result, misjudgment risk level, and review prompt.

[0021] The joint comparison channel support quantity and comprehensive index output the corrected material evaluation results, misjudgment risk level and review prompts, including: when the comprehensive index is lower than the corresponding preset comprehensive rating threshold and the channel support quantity is equal to 1, output the review prompt parameter indicating data source distortion, providing a basis for material screening and abnormal evaluation result review.

[0022] The beneficial effects of this invention are as follows: By setting a constant effective concentration value to prepare the response solution, this invention measures the physical properties of intrinsic parameter fluctuations and eliminates unsteady-state disturbances in the physical preparation process; by extracting ultraviolet correction values, fluorescence mutation levels, and potential difference values, it measures spectral absorption retention rate, radiation energy level fluctuations, and phase boundary thermodynamic potential, thus blocking endogenous artifacts of light absorption and polarization induced by acid-base slip; by integrating multi-channel variables to construct an intrinsic response coefficient library and extrapolating deviation values, it measures the full-band physical evolution trajectory and the net contribution of exogenous materials, filtering out environmental noise derived from polarity reshaping; by combining multi-dimensional deviation weights to generate a comprehensive index and performing rating, it measures the joint support thickness of cross-border verification, smooths out extreme sudden oscillations in single channels, and improves the data alignment accuracy and material performance rating immunity of the multi-mode spectroscopy and electrochemical monitoring system under complex acid-base drift conditions; the output correction evaluation results and misjudgment risk levels can provide a reliable basis for subsequent material batch screening and abnormal evaluation result verification. Attached Figure Description

[0023] Figure 1 This is a flowchart illustrating an evaluation and correction method for model dye materials based on a library of intrinsic pH response coefficients of methylene blue, as described in this invention. Figure 2 It is the ultraviolet spectrum of dye molecules from low-order acidity to standard acidity. Figure 3 It is the ultraviolet spectrum of the dye molecule in the strong base polar region; Figure 4 It is a fluorescence spectrum of dye molecules from low-order acidity to standard acidity. Figure 5 It is the fluorescence spectrum of the dye molecule in the strong base polar region; Figure 6 It is the cyclic voltammetry curve of the dye molecule from low-order acidity to standard acidity. Figure 7 It is the cyclic voltammetry curve of the dye molecule in the strong base polar region. Detailed Implementation

[0024] The technical solutions of the embodiments of the present 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 the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0026] It should be noted that the effective concentration values, channel allocation weights, and preset judgment thresholds for each deviation parameter involved in this invention are typical values ​​selected to clearly illustrate the logic of this invention. Those skilled in the art can make adaptive adjustments within a reasonable range based on the physical properties of the target material and the sensitivity of the testing instrument in practical applications. Such conventional parameter adjustments do not depart from the protection scope of this invention. Furthermore, the acidity / alkalinity mentioned in this invention refers to the pH value of the system.

[0027] Additionally, it should be noted that the material evaluation results described in this invention include the comprehensive index, channel support quantity, and comprehensive contribution level mentioned below; the misjudgment risk level includes the risk measurement value and the risk qualitative level; and the review prompts include the channel mutual exclusion quantity and the review action chain.

[0028] This invention discloses a method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue, referring to... Figure 1 This includes steps S1 to S7: S1. Prepare the dye response solution and establish the spectral parameter reference.

[0029] It should be noted that methylene blue molecules exhibit multi-channel spectral and electrochemical response physical properties under different acidity and alkalinity environments. Differences in working fluid volume induced by different acid and alkali additions, along with changes in the physical state of the testing instrument, can cause random drift limitations in the fundamental observation signal. Conventional observation methods, when acquiring response parameters without aligning the effective concentration values, can easily misinterpret the physical attenuation of the signal caused by concentration dilution as the adsorption efficiency of the target material. Therefore, this invention measures the physical properties of intrinsic parameter fluctuations by setting a constant effective concentration value. By isolating the unsteady-state perturbations in the physical preparation process, a unified basis for determining the subsequent construction of an intrinsic response baseline independent of concentration interference is provided.

[0030] Specifically, a base response solution with a preset effective concentration value is prepared; acidic or alkaline additives are added to the base response solution in different containers to generate dye response solutions under multiple different acid-base conditions; dye response solutions under the same batch of test conditions are extracted to maintain a constant effective concentration value; dye response solutions without added acidic or alkaline additives are extracted to generate a reference standard solution; the initial pH value associated with the reference standard solution is recorded as the reference pH value to construct an alignment benchmark between spectral parameters and electrochemical parameters.

[0031] For example, the effective concentration value determines the base signal-to-noise ratio of light absorption and electrochemical response. The empirical range is 0.01 g / L to 0.05 g / L. In this embodiment, the effective concentration value is set to 0.032 g / L, the base liquid volume is set to 10 mL, and the fixed volume is set to 50 mL. The implementer can increase or decrease the base liquid volume according to the physical limitations of the test container.

[0032] S2. Measure the ultraviolet spectrum and extract the ultraviolet correction value.

[0033] It should be noted that methylene blue molecules possess an inherent characteristic absorption band in the visible light band, and this characteristic absorption band is modulated by external pH. When the pH of the solution shifts towards the polar alkaline region, it induces physical recombination of molecular groups, leading to an intrinsic intensity decay limitation of the characteristic absorption peak. The apparent absorbance extraction criterion of a single channel does not exclude intrinsic intensity decay, and it is easy to mistake physical intrinsic decay for degradation behavior induced by the controlled material in a strongly alkaline solution environment. Therefore, this invention measures the intrinsic absorption retention rate in the ultraviolet spectral band by calculating the ultraviolet correction value. By eliminating the absorption artifact induced by strong base, a true benchmark absorbance reference is provided for the subsequent verification of the performance of the controlled physicochemical material.

[0034] Specifically, ultraviolet spectral scanning is performed on dye response solutions under different acid and alkaline conditions to obtain the numerical mapping relationship between detection wavelength and distributed absorbance, generating an absorbance function; the distributed absorbance corresponding to each detection wavelength within the preset absorption frequency band is accumulated and divided by the total number of wavelength nodes to generate characteristic absorbance; the maximum value in the absorbance function is extracted to generate the maximum absorption extreme value; the wavelength corresponding to the maximum absorption extreme value in the absorbance function is extracted to generate the maximum absorption wavelength; and the characteristic absorbance is divided by the reference absorbance corresponding to the reference standard solution to calculate the ultraviolet correction value.

[0035] Specifically, the UV correction value satisfies the following relationship:

[0036] ;

[0037] ; In the formula, Characteristic absorbance, This represents the total number of wavelength nodes. To detect wavelength, To determine the absorbance distribution at the corresponding detection wavelength, This is the UV correction value. As the baseline absorbance, The baseline pH level is used.

[0038] in, The larger the value, the wider the monochromatic photon trapping cross section, making... The larger the value, the thicker the substrate for calculating the overall absorption retention of the frequency band, thus making it more likely to accurately depict the physical boundary of visible light absorption. The smaller the value, the weaker the absorption capacity of monochromatic photons, making... As the value decreases, the overall extinction physical response of the frequency band becomes more subdued, thus achieving the goal of preventing the artifact of local wavelength absorption.

[0039] The larger the value, the stronger the intrinsic visible light absorption capacity of the molecular configuration under the corresponding acid-base environment, making it more likely to absorb light. The larger the value, the more stable the ultraviolet photon capture and retention rate becomes under no-intervention conditions, thus making it more likely to achieve the baseline calibration purpose of preventing the degradation performance of the target material from being underestimated. The smaller the value, the more intense the dissociation and recombination of the chromophore under strong alkaline polar erosion, making... The smaller the value, the more rapidly the apparent optical decay drops, thus achieving the goal of high-confidence assessment that alerts testing personnel to filter out false positive interference.

[0040] The larger the value, the stronger the activity of the endogenous chromophores in the interference-free reference solution, making it more likely to... The smaller the value, the more robust the base of the normalized scale becomes, thus making it more likely to achieve the goal of suppressing the intrinsic physical drift error of strong bases. The smaller the value, the lower the intrinsic light absorption physical noise floor in the reference state, making... As the numerical value increases, the normalized mapping polarity span becomes more pronounced, thus increasing the likelihood of amplifying the microscopic polarity recombination characteristics.

[0041] For example, the preset absorption frequency band determines the sensitivity range for characterizing the activity of chromophores. The empirical range is 650nm to 680nm. In this embodiment, the starting wavelength is set to 660nm and the ending wavelength is set to 670nm. The implementer can adjust the bandwidth of this frequency band according to the specific detector resolution to smooth out physical noise.

[0042] S3. Acquire emission spectra and calculate fluorescence abrupt change levels.

[0043] It should be noted that methylene blue molecules generate bandgap fluorescence under stimulated emission at a constant excitation wavelength, and the fluorescence parameters are highly dependent on the acidic or alkaline microenvironment of the solvent. In deeply alkaline conditions, the disintegration of the molecular self-aggregate state and abrupt transitions in the luminescence energy level intertwine, leading to abnormal surges in endogenous fluorescence intensity. Single-channel testing methods are limited by these abnormal fluorescence surges, easily misinterpreting endogenous fluorescence enhancement as enhancement induced by controlled luminescence materials through physical inclusion interactions. Therefore, this invention measures the intrinsic endogenous fluctuation of microscopic radiative energy levels by constructing fluorescence abrupt change levels. By defining the extreme range of uninterrupted intrinsic fluorescence fluctuations, a pure benchmark is provided for determining the subsequent primordial fluorescence enhancement behavior.

[0044] Specifically, excitation light is applied to dye response solutions under different acid and alkaline conditions and emission spectra are collected to generate fluorescence distribution functions; the arithmetic mean of discrete fluorescence intensity corresponding to multiple discrete emission wavelengths within a preset fluorescence frequency band is obtained to obtain the frequency band fluorescence intensity; the fluorescence correction value is calculated by dividing the frequency band fluorescence intensity by the reference fluorescence amount corresponding to the reference standard solution; the absolute value of the difference between the fluorescence correction value and the constant 1 is calculated to generate the fluorescence mutation level.

[0045] Specifically, the fluorescence mutation level satisfies the following relationship:

[0046] ;

[0047] ;

[0048] ; In the formula, For high fluorescence in the frequency band, For the number of emission wavelengths, For discrete emission wavelengths, This represents the discrete fluorescence intensity at the corresponding wavelength. This is the fluorescence correction value. As a baseline fluorescence amount, As a reference pH, It is classified as a fluorescent mutation.

[0049] in, The larger the value, the more monochromatic lasing photons are emitted at a specific wavelength, making... The larger the value, the more obvious the nonlinear transition characteristics of photon avalanche amplification become, thus making it more likely to achieve the goal of capturing the high-frequency response of the physical state of microscopic molecular recombination. The smaller the value, the more severe the nonradiative dissipation of the excited spin state to the ground state, making... The smaller the value, the quieter the physical noise of the light emission becomes, thus achieving the goal of preventing the system from misjudging stray light.

[0050] The larger the value, the more significant the gain in the overall molecular radiative recombination probability due to polar solvent excitation, making... The larger the value, the further the spontaneous emission polar response deviates from the baseline in the uninterrupted state, thus making it more likely to achieve the goal of locking strong base-specific mutations; The smaller the value, the more severe the quenching physical effect of the luminescent energy level under specific conditions, making it more likely to cause further damage. The smaller the value, the more physically locked the overall band transition becomes, thus achieving the goal of providing a stable endogenous non-luminescent substrate.

[0051] The larger the value, the higher the intrinsic luminescence quantum yield of the molecules in the reference solution, making... The smaller the value tends to be, the more robust the denominator base becomes in subsequent calculations of relative abrupt changes, thus making it more likely to achieve the goal of suppressing misjudgments of slight polarity drift; The smaller the value, the more limited the luminescent activity of the molecules in the reference standard solution, making... The larger the value, the more obvious the leverage effect of relative amplification of mutation becomes, thus becoming more likely to achieve the purpose of highly sensitively capturing the weak intervention of materials.

[0052] The larger the value, the stronger the nonlinear lasing that occurs in the microscopic radiation density of states under the corresponding environmental stimulus, making... The larger the value tends to be, the more the intrinsic luminescence transition without material intervention deviates from the steady-state parameter, and the more likely it is to achieve the technical indication purpose of triggering the interception of high-risk fluorescence mutations in strong bases; The smaller the value and the closer it is to the constant 1, the more stable the energy level spacing between the spin ground state and the excited state tends to be in the corresponding acid or alkaline solution, making... The smaller the value, the more the fluctuations in endogenous interference emission are restricted, thus making it more likely to achieve the basic goal of providing a pure, stable, and low-noise comparison scale.

[0053] The larger the value, the more intense the enhancement of intrinsic artifacts induced by the endogenous acid-base environment, making the subsequent judgment filtering matrix interception index more stringent, making the material's actual luminescence contribution more accurately identified, and thus more likely to achieve the gatekeeping purpose of executing high-risk circuit breaking judgment. The smaller the value, the less severe the intrinsic polarization interference within that physical frequency band, making the subsequent judgment filtering matrix interception index more lenient, allowing the material's true weak inclusion fluorescence gain to be preserved, thus achieving the goal of more accurately characterizing the material's true modification dynamics.

[0054] For example, the preset fluorescence frequency band determines the capture fidelity of the fluorescence intensity. The empirical range is 680nm to 720nm. In this embodiment, the starting boundary is set to 690nm and the ending boundary is set to 710nm. The implementer can appropriately reduce the ending boundary to reduce physical noise according to the thermal noise of the detector.

[0055] S4. Record the cyclic voltammetry curve and extract the potential difference value.

[0056] It should be noted that methylene blue molecules undergo paired redox electron transfer at the working electrode interface, and this interfacial electron transfer process is highly dependent on the proton concentration gradient. The span of the acid-base gradient forces a spatial shift in the equilibrium thermodynamic potential energy point, resulting in an endogenous shift and polarization broadening of the Faraday reaction peak potential. Single-interface electrophysiological methods neglect the potential slip of the solid-liquid phases, easily misinterpreting purely proton-driven potential deviations as heterogeneous catalytic acceleration capabilities generated by the target material. Therefore, this invention measures the endogenous thermodynamic potential at the interfacial interface by extracting interfacial peak characteristics to generate a potential difference value. By blocking thermodynamic pseudo-catalytic interference, it provides an accurate reference for identifying the true charge transfer motive force of exogenous materials.

[0057] Specifically, a cyclic voltammetric curve is generated by applying a cyclic scanning potential to the dye response solution to obtain the current response trajectory of the working electrode; the anodic peak potential, cathode peak potential, anodic current, and cathode current corresponding to the cyclic voltammetric curve are extracted; the half-average of the anodic peak potential and cathode peak potential is calculated to generate the half-wave potential; the difference between the half-wave potential and the reference half-wave potential corresponding to the reference standard solution is calculated to generate the potential difference value; the absolute values ​​of the anodic current and cathode current are divided by the absolute values ​​of the reference anodic current and reference cathode current respectively to generate the anodic correction value and the cathode correction value.

[0058] Specifically, the potential difference and the correction value satisfy the following relationship:

[0059] ; In the formula, It is a half-wave potential. This is the anode peak potential. This represents the cathode peak potential.

[0060] ; In the formula, This is the potential difference value. As the reference half-wave potential, The baseline pH level is used.

[0061] ; In the formula, This is the anode correction value. This is the anode current. This is the reference anode current.

[0062] ; In the formula, This is the cathode correction value. For cathode current, The reference cathode current is used.

[0063] in, The closer the center displacement converges towards the polarization direction, the closer the redox kinetics of the phase interface are to a reversible ideal state. The more stable the value, the more symmetrical the Faraday current response waveform becomes, thus becoming more likely to achieve the purpose of providing a low-polarization intrinsic parameter baseline for reference. The further the reaction deviates from the ideal reversible midpoint, the greater the kinetic resistance to the reversibility of the redox reaction. The larger the absolute value, the deeper the polarization of electron transfer is driven by proton concentration, thus making it more likely to expose the endogenous thermodynamic driving characteristics.

[0064] The larger the absolute value, the higher the physical barrier of the reduction potential driven by the strong base or strong acid gradient tends to be, the longer the intrinsic potential slip distance, and the wider the subsequent evaluation subtraction base is, thus making it more likely to achieve the purpose of manifesting the endogenous proton coupling electron resistance. The smaller the absolute value, the weaker the interference and pulling force of free protons on the redox kinetics tends to be, and the closer the Faraday reaction peak potential is to the inherent ideal potential, thus more likely to achieve the purpose of providing a reference line for comparison without catalytic artifacts.

[0065] The larger the value, the denser the electron conduction flux released by oxidation and stripping at the working electrode interface, making... The larger the value, the stronger the apparent electrochemical activity signal of the oxidation phase branch, and the more likely it is to achieve the purpose of capturing proton concentration catalytic current amplification. The smaller the value, the more severely the oxidation conduction at the working electrode interface is impeded by the dense molecular layer, making... The smaller the value, the more likely the oxidation Faraday current branch is to be blocked, thus achieving the goal of preventing false high conduction ratings.

[0066] The larger the absolute value, the stronger the ability of the working electrode interface to reduce, adsorb, and capture electrons. The larger the value, the faster the apparent charge exchange rate of the reduced phase branch, thus making it more likely to achieve the purpose of measuring the proton-assisted reduction current of strong acids. The smaller the absolute value, the more severely the interface charge transport channel is physically shielded, making... The smaller the value, the more quiescent the physical response of the reduction becomes, thus achieving the goal of stripping the electrode to poison the background current.

[0067] and The larger the absolute value, the more abundant the bulk redox penetration of the reference solution under acid-base interference. and The smaller the value, the more solid the normalized denominator base of the intrinsic parameter fluctuations becomes, thus making it more likely to achieve the purpose of suppressing the perturbation of trace impurity potentials. and The smaller the absolute value, the slower the bulk Faraday response of the reference fluid. and As the numerical value increases, even the smallest proton gradient change can leverage the parameter, thus increasingly achieving the goal of amplifying the micro-variation characteristics of a highly sensitive environment.

[0068] S5. Integrate multi-channel feature variables to construct an intrinsic response coefficient library.

[0069] It should be noted that the parameters of each frequency band exist independently in the physically fragmented state, making it impossible to perform a unified mathematical mapping for the evolution of operating conditions with continuous acid-base drift behavior. In actual measurements, arbitrary acid-base drift coordinates are misplaced between discrete pre-calibrated points, creating evaluation blind spots due to the inability to seamlessly align spatial parameters. The disconnect between isolated frequency bands and interpolation algorithms forces non-calibrated points to become blind spots in the analysis. Therefore, this invention integrates discrete global parameters to construct an intrinsic response coefficient library to measure the continuous physical evolution trajectory across the entire frequency band. By piecing together fragmented acid-base dependence functions, a complete addressing base library is provided for subsequent high-precision parametric geometric reconstruction of non-calibrated drift points.

[0070] Specifically, the intrinsic calibration array is generated by extracting the ultraviolet correction value, maximum absorption wavelength, fluorescence correction value, fluorescence abrupt change level, potential difference value, anodic correction value, and cathodic correction value under discrete pH conditions; the intrinsic calibration array of all known discrete nodes is encapsulated to generate an intrinsic response coefficient library; when the pH value falls within the range between low-order pH and high-order pH, the low-order calibration parameters corresponding to the low-order pH and the high-order calibration parameters corresponding to the high-order pH are called to perform first-order linear geometric mapping calculations to generate interpolated estimates.

[0071] Specifically, the interpolated estimates satisfy the following relationship:

[0072] ; In the formula, This is an interpolated estimate. To assess pH level, Low pH level, For higher pH levels, These are low-order calibration parameters. These are high-order calibration parameters.

[0073] in, and The larger the absolute value of the difference, the stronger the physical nonlinearity within the acid-base drift range, making it more likely to... The more the pH value tends to expand, the more obvious the role of the interpolation algorithm in reconstructing the physical characteristics of the nonlinear boundary becomes, and thus the more likely it is to achieve the goal of accurately stitching together the fragmented parameter faults. and The smaller the absolute value of the difference, the more compliant and forgiving the chemical environment is within the acid-base drift range. The more the pH value is affected by the shift in pH, the stronger the robustness of the interpolation algorithm in maintaining a steady-state base output, thus making it more likely to achieve the goal of delivering a smooth, non-jumping reference base library.

[0074] The closer This indicates that the more the physical environment under test tends to the extreme boundary of deep reconstruction, the closer the weight of the multiplication zone of the formula tends to be to the constant 1, and the more the interpolation variable domain is dominated by the slope of the higher-order physical abrupt change, thus making it more likely to achieve the purpose of smoothing the boundary response trend. The closer This indicates that the more the acid-base drift tends to be in a steady state, the more the weight of the multiplication region of the formula tends to shrink and decrease, making the interpolated estimated value more likely to return to the steady-state transition end, thus achieving the goal of accurately reconstructing the continuous domain reference base smoothly.

[0075] S6. Collect front-end and back-end test parameters and extract each deviation value.

[0076] It should be noted that the ion attachment induced by the incorporation of exogenous materials dynamically depletes dissolved proton resources, thereby reshaping the polar microenvironment of the free phase. The mixed signal read by the terminal is a mixture of the material's true effectiveness and the passive signal jump limitations of the molecules themselves under the reshaping potential field. Direct reading methods without stripping and cleaning easily equate the spurious physical gain induced by the distortion of the polar microenvironment directly to the processing efficiency. Therefore, this invention measures the net contribution of the material by calculating the deviation value through the import of an intrinsic response coefficient library. By using the noise floor derived from the filter field distortion, a pollution-resistant purification index is provided to restore the true physical kinetic energy of the exogenous substance.

[0077] Specifically, the original pH value before the addition of exogenous materials is obtained, and the original absorbance, fluorescence, half-wave potential, anodic current, and cathode current are recorded simultaneously. The final pH value at the end of the material action stage is obtained, and the final absorbance, fluorescence, half-wave potential, anodic current, and cathode current are recorded simultaneously. The intrinsic response coefficient library is searched to retrieve the corresponding sequence correction values ​​for the original pH value and the final pH value to deduce and generate unbiased parameters such as theoretical absorbance, theoretical fluorescence, theoretical half-wave potential, theoretical anodic current, and theoretical cathode current. The ratio of the difference between each final parameter and the corresponding unbiased parameter value to the unbiased parameter value is calculated, and ultraviolet deviation parameters, fluorescence deviation parameters, potential deviation parameters, anodic deviation parameters, and cathode deviation parameters are calculated separately.

[0078] Specifically, taking the ultraviolet channel as an example, the theoretical absorbance and ultraviolet deviation parameter satisfy the following relationship:

[0079] ;

[0080] ; In the formula, This is the theoretical absorbance. This represents the absorbance in its original state. This is the UV correction value corresponding to the final state pH. This is the UV correction value corresponding to the original pH level. For ultraviolet deviation parameters, This represents the absorbance in the final state.

[0081] in, The larger the value, the greater the absolute extinction base of the molecules in the system solution before the addition of exogenous materials, making... The larger the value tends to be, the higher the physical magnitude of the subsequent comparison parameter deduction, and thus the more likely it is to achieve the purpose of suppressing low-concentration optical shot noise interference. The smaller the value, the lower the enrichment level of the system liquid at the initial moment, making... The smaller the value, the more sensitive the system becomes to the weak adsorption of exogenous materials, thus achieving the goal of highly precise detection of trace adsorption physical interception behavior.

[0082] and The higher the ratio, the more significant the retention gain of endogenous absorption capacity during the evolution from initial polarity to final polarity, making... The higher the value tends to be, the more the effect of the intrinsic parameter jump masking the true detergency of the exogenous material is measured, and thus the more likely it is to achieve the purpose of correcting the underestimation of the material's effectiveness. and The smaller the ratio, the more drastic the decline in intrinsic absorption capacity during the evolution towards a strong base polarity, making... The more the value drops sharply, the more thoroughly the strong physical attenuation noise of false positives is stripped away, thus achieving the goal of preventing false material adsorption and degradation ratings.

[0083] The larger the value, the wider the physical cross-section of photon capture that should be retained after filtering endogenous drift, making... The larger the value tends to be, the more the true contribution of the exogenous material to the clogging can be verified, and the more likely it is to achieve the goal of providing high confidence support for physical adsorption. The smaller the value, the more it indicates that the pure endogenous acid-base distortion has weakened the molecule's light absorption ability, making it... The numerical values ​​tend to fluctuate violently under the constraint of the divisor, which makes it necessary to shift the focus of the evaluation to the multi-channel anti-interference mechanism, thereby increasing the likelihood of triggering the cross-channel interlock protection.

[0084] The smaller the value, the thinner the residual optical absorption characteristics after the actual intervention and endogenous attenuation, making... The higher the value, the stronger the overall physical effect of optical blanking, and the more likely it is to reveal the comprehensive physical and chemical effects of the material. The closer This indicates that the difference in optical extinction before and after control is filled by the endogenous slip trajectory, making... The more the value shrinks rapidly and approaches the constant 0, the more it suppresses the overestimation of false contributions caused by pseudo-mutations in the environment, thus achieving the goal of preventing false efficacy.

[0085] For example, the preset judgment threshold of the deviation parameter of each physical channel determines the noise tolerance boundary, and the empirical value range is 0.05 to 0.30. In this embodiment, the preset judgment threshold of the ultraviolet deviation parameter and the fluorescence deviation parameter are both set to 0.20, and the preset judgment threshold of the anode deviation parameter and the cathode deviation parameter are both set to 0.10. The implementer can appropriately increase the preset judgment threshold according to the material batch uniformity discrete working condition to suppress false positive disturbances.

[0086] S7. Integrate the deviation weights of multiple channels and generate a comprehensive index.

[0087] It should be noted that the deviation values ​​extracted from a single physical channel exhibit multidimensional incompatibility of dimensions and differences in response sensitivity. A single route frequency band is highly susceptible to transient, large spikes in deviation noise due to local perturbations. Evaluation relying solely on peak spike channels is prone to irrational rating distortions induced by transient noise. Therefore, this invention measures the joint verification thickness across channels by mapping multidimensional vectors to calculate a comprehensive index. By smoothing extreme sudden oscillations, a joint anti-interference scale is provided for multi-channel interlocking output.

[0088] Specifically, the absolute value of the potential deviation parameter is divided by the reference potential to perform a dimensional normalization operation to generate a potential normalization parameter; each deviation parameter and potential normalization parameter generated by each physical channel is extracted and compared with the corresponding preset judgment threshold to construct a binary array; various channel weights are introduced and vector products are performed with the absolute values ​​of each deviation parameter and potential normalization parameter to calculate a comprehensive index; active Boolean values ​​in the binary array are summed to generate channel support quantity; the channel support quantity and comprehensive index are jointly compared to output the evaluation result of anti-interference correction, and the corrected material evaluation result, misjudgment risk level, and review prompt are output.

[0089] Specifically, the composite index satisfies the following relationship:

[0090] ;

[0091] ; In the formula, For potential normalization parameter, For potential deviation parameters, As a reference potential, As a composite index, Assign weights to the ultraviolet channel. Assign weights to the fluorescence channels. Assign weights to the potential channels. Assign weights to electrochemical channels. For ultraviolet deviation parameters, For fluorescence deviation parameters, For the anode deviation parameter, This is the cathode deviation parameter.

[0092] in, The larger the value, the stronger the physicochemical heterogeneous catalytic attraction of the exogenous material for electron transfer at the solid-liquid phase interface, making... The larger the value, the more obvious the net catalytic charge transfer efficiency left after stripping the endogenous thermodynamic potential, thus making it more likely to achieve the goal of confirming the material interface penetration acceleration modification ability.

[0093] The smaller the value, the weaker the physical interference of the external material in the interface charge transfer, making it more efficient. The smaller the value, the more the test anomalies are attributed to intrinsic proton-driven drift, thus better preventing electrochemical catalytic ratings from being solely dependent on Faraday mutations.

[0094] The larger the value, the more tolerant the physical scale is in mitigating differences in potential dimensions, making... The smaller the value, the smoother the signal-to-noise ratio of the electrochemical weak offset in the overall joint evaluation becomes, thus making it more likely to achieve the goal of preventing false potential fluctuations caused by stray capacitance current.

[0095] The smaller the value, the more stringent the calibration scale for evaluating weak polarization at the electrode interface. The larger the value, the more intense the lever amplification effect of the slight Faraday response displacement, thus becoming more likely to achieve the goal of highly sensitively capturing the power transfer of micro-electrons in single-atom catalysis.

[0096] , , and The greater the value, the stronger the physical modification effect of the exogenous material on cross-boundary coverage of optics and charge transfer. As the numerical value increases, the effectiveness level of the multi-dimensional interlocking support tends to be higher, thus making it more likely to achieve a strong anti-interference and anti-tampering assessment conclusion.

[0097] , , and The closer to the bottom layer, the more the noise level settles and falls, indicating that the test anomalies are entirely attributed to spontaneous acid-base instability effects. The closer the numerical values ​​are to bottoming out and flattening out, the more effectively the apparent mutations that cause performance overestimation due to endogenous artifacts are filtered out, thus achieving the goal of ensuring the objective evaluation of exogenous materials.

[0098] For example, the reference potential determines the physical normalization ratio that smooths out the difference in potential dimensions, and the empirical value range is 0.01V to 0.10V. In this embodiment, the reference potential is set to 0.05V. The allocation weights of various channels determine the sensitivity of the cross-border evaluation balance to the photoelectric response mechanism. In this embodiment, the allocation weights of the ultraviolet channel, fluorescence channel, potential channel, and electrochemical channel are all set to 0.25. Implementers can appropriately increase the allocation weights of the potential channel and the electrochemical channel according to the material design's original intention of inducing interface transfer.

[0099] The following embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention. Any equivalent adjustments made by those skilled in the art to sample concentration, pH gradient, detection instrument, scanning range, data processing method, or discrimination threshold without departing from the technical concept of the present invention should be included within the scope of protection of the present invention.

[0100] The following examples all use dye response solutions containing dye molecules as the subject. First, a basic response solution with an effective concentration of 0.032 g / L was prepared. The same volume of basic response solution was used as the basic solution for each group of samples. Then, acidic additive solution, alkaline additive solution or buffer solution was added to adjust the pH, and the volume was adjusted to the same volume to ensure that the concentration of dye molecules in each group of samples was consistent.

[0101] In the corresponding embodiments, each pH sample was based on 10 mL of the basic response solution, and after pH adjustment, the volume was brought to 50 mL. Through the aforementioned concentration control, the characteristic absorbance, frequency band fluorescence intensity, and cyclic scanning peak current of samples with different pH values ​​are comparable, avoiding misinterpretation of changes in effective concentration values ​​as changes in acid-base response.

[0102] To ensure comparability among the three detection channels—UV spectroscopy, emission spectroscopy, and cyclic voltammetry—the corresponding embodiment only selects pH conditions with valid data for all three channels as the objects for constructing the intrinsic response coefficient library. The selected pH conditions include: 0.19, 0.83, 2.44, 3.35, 4.33, 5.45, 6.52, 7.69, 8.70, 9.47, 10.65, 11.39, 11.93, 12.33, and 12.61.

[0103] The pH gradients in the corresponding embodiments include acidic to near-neutral samples and basic samples. Specifically, the pH range for acidic to near-neutral samples is 0.19–7.69, and the pH range for basic samples is 8.70–12.61. Each sample was thoroughly mixed before testing and stored in the dark for subsequent UV spectroscopy, emission spectroscopy, and cyclic voltammetry tests.

[0104] In the corresponding embodiment, the dye response solution without added acidic or alkaline additives was selected as the reference state, with a measured pH of 8.70. The characteristic absorbance of the reference state was 0.661, the fluorescence intensity in the frequency band was 33.950, the reference half-wave potential was -0.3175 volts, the reference anode current was 3.386 μA, and the reference cathode current was -2.283 μA.

[0105] The ultraviolet spectroscopy scanning test range is 200–800 nm, the scanning speed is medium, and the data interval is 0.5 nm; the fluorescence test uses emission scanning, the emission wavelength range is 300–800 nm, the excitation wavelength is 347 nm, and both the emission slit and the excitation slit are 10 nm; the cyclic voltammetry test uses a three-electrode system, with a glassy carbon electrode as the working electrode, a silver chloride electrode as the reference electrode, and a platinum wire electrode as the counter electrode, with sodium chloride added as the supporting electrolyte.

[0106] Example 1: Establishment of UV correction values The corresponding embodiments are used to illustrate the method for extracting characteristic parameters of the ultraviolet absorption channel and the method for constructing ultraviolet correction values ​​in this invention.

[0107] The dye response solutions under different pH conditions were subjected to ultraviolet spectral scanning. Baseline correction was performed using deionized water as a blank sample before testing. The scanning range was 200–800 nm, with data intervals of 0.5 nm. To facilitate the extraction of visible light response characteristics, spectral data within the 400–800 nm range were selected for fingerprint parameter analysis corresponding to the examples.

[0108] The absorbance function under different pH conditions was recorded. Characteristic absorbance and maximum absorption wavelength were extracted from the UV spectral scan. The UV correction value was calculated by dividing the characteristic absorbance by the characteristic absorbance corresponding to the baseline state. Table 1 is obtained based on the UV absorption data under common pH conditions for the three detection channels.

[0109] Table 1. UV Response under Common Acidity and Alkalinity

[0110]

[0111] Based on the characteristic data in Table 1, the pH value is in the range of 0.19–9.47, and the maximum absorption wavelength is mainly located around 664nm, indicating that the dye response liquid still maintains relatively stable main absorption characteristics in the visible region within the aforementioned range.

[0112] When the pH value increases to 10.65, the maximum absorption wavelength shifts from around 664 nm to 617.0 nm, and the UV correction value decreases to 0.505, indicating that the chromophore has undergone significant absorption band reconstruction under the corresponding conditions.

[0113] When the pH values ​​further increased to 11.93, 12.33, and 12.61, the UV correction values ​​decreased to 0.040, 0.016, and 0.019, respectively. This indicates that within the strongly basic polar domain, even without the influence of materials, the intrinsic chromophores of the molecules exhibit significant absorption attenuation. Therefore, when using dye molecules as model dyes to evaluate adsorption or photocatalytic materials, the intrinsic absorption contribution should first be subtracted from the UV correction value.

[0114] Example 2: Establishment of fluorescence correction values The corresponding embodiments are used to illustrate the method for extracting characteristic parameters of fluorescence response channels and the method for constructing fluorescence mutation levels in this invention.

[0115] The same dye response solution as in Example 1 was used. The effective concentration values ​​in each group of samples were kept consistent, and the solutions were adjusted to different pH conditions. Emission spectra of the dye response solutions under different pH conditions were scanned to obtain the fluorescence distribution function. A preset fluorescence frequency band was selected as the fluorescence response characteristic region for the corresponding example, and the fluorescence intensity of the aforementioned band was calculated. The fluorescence correction value was calculated based on the fluorescence intensity under the reference state. The absolute value of the difference between the fluorescence correction value and a constant 1 was further calculated to generate the fluorescence abrupt change level. Table 2 is obtained based on the fluorescence data under the common pH conditions of the three detection channels.

[0116] Table 2. Fluorescence response under common acidity and alkalinity.

[0117]

[0118] Analyzing the data trends in Table 2, within the pH range of 0.19–10.65, the overall change in fluorescence intensity was relatively small, and the fluorescence correction value was basically close to a constant of 1, indicating that no significant fluorescence abrupt change occurred within the aforementioned range.

[0119] When the pH values ​​increased to 11.39, 11.93 and 12.61, the fluorescence correction values ​​reached 3.820, 18.207 and 12.603, respectively, and the fluorescence mutation levels reached 2.820, 17.207 and 11.603, respectively, indicating that the dye molecules themselves can exhibit significant intrinsic fluorescence mutations under strongly alkaline conditions.

[0120] The fluorescence correction value was 18.207 at a pH of 11.93, indicating that even without material interaction, the ambient pH alone can increase the fluorescence intensity of the preset fluorescence band to 18.207 times that of the baseline state. Therefore, in material evaluation, if the final state pH enters the corresponding region, the fluorescence enhancement cannot be directly attributed to the luminescence gain induced by the exogenous material.

[0121] Furthermore, at a pH of 12.33, the fluorescence correction value was 0.768, and no fluorescence enhancement was observed as seen in the adjacent strong base sample, but both UV absorption and electrochemical response showed significant changes. Therefore, the aforementioned pH conditions can serve as a typical example for channel conflict verification.

[0122] Example 3: Establishment of Potential Difference Values ​​and Anode / Cathode Correction Values The corresponding embodiments are used to illustrate the method for extracting characteristic parameters of the cyclic voltammetry channel, and the method for constructing potential difference values ​​and current correction values ​​in this invention.

[0123] Cyclic scanning potentials were performed on the dye response solution under different pH conditions to obtain the current and voltage response trajectories. The anodic peak potential, cathode peak potential, anodic current, and cathode current were extracted from the cyclic voltammetry curves. The arithmetic mean of the anodic and cathode peak potentials was calculated to obtain the half-wave potential. Using the reference state as a benchmark, the difference between the half-wave potential and the reference half-wave potential was calculated to obtain the potential difference value. Simultaneously, the ratios of the anodic current and the cathode correction value divided by the reference anodic current and the reference cathode correction value were calculated to obtain the anodic correction value and the cathode correction value, respectively. Table 3 is obtained based on the cyclic scanning potential data under common pH conditions for the three detection channels.

[0124] Table 3 Voltammetric Response at Partial Acidity and Alkalinity

[0125]

[0126] The analysis of Table 3 shows that the volt-ampere response changes significantly with acidity and alkalinity. At the acidic polarization end, the half-wave potential shows a positive shift relative to the reference state; at the strongly alkaline polarization end, the half-wave potential shows a negative shift relative to the reference state. This confirms the endogenous thermodynamic traction of free proton concentration on phase boundary electron transfer, verifying the engineering role in constructing a purely electrochemical physical baseline.

[0127] Example 4: Establishment of an intrinsic pH response coefficient library for methylene blue The ultraviolet correction values, maximum absorption wavelengths, fluorescence correction values, fluorescence abrupt change levels, potential difference values, anodic correction values, and cathode correction values ​​obtained in Examples 1 to 3 were integrated and packaged to generate an intrinsic response coefficient library. A summary table of the intrinsic response coefficient libraries established for the corresponding examples is shown in Table 4.

[0128] Table 4 Summary Table of Intrinsic Response Coefficients

[0129]

[0130] As shown in Table 4, the physical response parameters exhibit physical zoning characteristics as they shift with pH. Within the pH range of 0.19–9.47, the maximum absorption wavelength generally remains around 664 nm, the fluorescence abrupt change is relatively small, while the potential difference value changes continuously with pH.

[0131] When the pH value increases to 10.65 and above, a significant blue shift occurs in the maximum absorption wavelength, and the UV correction value decreases significantly. When the pH value further increases to 11.39, 11.93, and 12.61, a significant intrinsic luminescence abrupt change occurs in the fluorescence channel, and the half-wave potential and current correction value also show significant polarization deviations simultaneously. This indicates that the molecules themselves undergo intrinsic spectral and electrochemical reconstruction under strong alkaline conditions. Therefore, when evaluating material properties, if the final pH value enters the strong alkaline region, the intrinsic response coefficient library shown in Table 4 should be used for correction first, rather than directly attributing the change in the original apparent signal to the effect of exogenous materials.

[0132] Example 5: Misjudgment Contribution Analysis under Uncorrected Conditions The corresponding embodiments are used to illustrate the potential misjudgment of appearance ratings that may occur if the baseline subtraction correction method of the present invention is not used and only the apparent measured signals before and after addition are directly compared. Using a pH value of 8.70 as the baseline state, representative common pH conditions at the strong base polarization end were selected for analysis, and the results are shown in Table 5.

[0133] Table 5 Misjudgment Comparison Table

[0134]

[0135] Comparing the mapping results in Table 5, the purely physical endogenous acid-base slip under strong alkaline conditions contributes a significant reduction in apparent absorption and a false fold change in apparent fluorescence. Distortions in apparent parameters can easily induce high-risk overestimation of adsorption and electrochemical performance. This confirms that the apparent direct reading judgment method without performing the intrinsic baseline subtraction process has limitations in its underlying rating, thus confirming the physical necessity of introducing a multi-channel intrinsic bias correction filtration system.

[0136] Example 6: Application of the Complete Material Evaluation and Correction Process The corresponding embodiments illustrate how to use the intrinsic response coefficient library of the present invention to fully correct material evaluation results. This application example is used to illustrate the correction calculation process and does not represent that a physical measurement has been performed on a specific unknown material.

[0137] The corresponding embodiments are based on the aforementioned intrinsic response coefficient library. The experimental premises are the same as those in Examples 1 to 5, that is, each sample is prepared using a basic response solution with a constant effective concentration of 0.032 g / L; 10 mL of basic response solution is taken as the basic solution for each group, and after adjusting the pH, the volume is brought to 50 mL to ensure that the concentration is consistent under different pH conditions.

[0138] In a material evaluation experiment, the original pH was 8.70 and the final pH was 11.93.

[0139] The measured parameters before material addition were used as reference state signals: the original absorbance was 0.661, the original fluorescence was 33.950, the original half-wave potential was -0.3175 volts, the original anode current was 3.386 microamps, and the original cathode current was -2.283 microamps.

[0140] The measured parameters of the final state at the end of the material's action phase are as follows: final state absorbance is 0.020, final state fluorescence is 700.000, final state half-wave potential is -0.5000 volts, final state anodic current is 7.800 microamps, and final state cathodic current is -3.900 microamps.

[0141] Based on the intrinsic response coefficient library established in Table 4, under a pH value of 8.70: the UV correction value is 1.000, the fluorescence correction value is 1.000, the potential difference value is 0, the anodic correction value is 1.000, and the cathodic correction value is 1.000. Under a pH value of 11.93: the UV correction value is 0.040, the fluorescence correction value is 18.207, the potential difference value is -0.1740 volts, the anodic correction value is 2.205, and the cathodic correction value is 1.623.

[0142] Specifically, the theoretical parameter derivation and deviation index calculation for each physical detection channel are performed: 1. Ultraviolet absorption channel correction: The theoretical absorbance is calculated by inversely mapping the original absorbance to the final state UV correction value and the original state UV correction value; the UV deviation parameter is calculated by taking the ratio of the difference between the theoretical absorbance and the final state absorbance.

[0143] The theoretical parameter derivation and deviation calculation expressions satisfy the following relationship:

[0144] ;

[0145] ; In the formula, This is the theoretical absorbance. This represents the absorbance in its original state. This is the UV correction value corresponding to the final state pH. This is the UV correction value corresponding to the original pH level. For ultraviolet deviation parameters, This represents the absorbance in the final state.

[0146] Substituting the relevant values, the theoretical absorbance is calculated to be 0.0264. Substituting the final absorbance of 0.020, the calculated UV deviation parameter is 24.2%.

[0147] Without intrinsic baseline subtraction, the change is directly calculated based on the apparent difference between the original and final states, resulting in an apparent absorption reduction rate of 97.0%. Therefore, without correction, the 97.0% decrease in apparent absorbance is easily overestimated and attributed directly to material effects. However, after correction by this invention, the actual net contribution of the exogenous material after filtering out intrinsic noise is approximately 24.2%.

[0148] 2. Fluorescence channel correction: The theoretical fluorescence amount is calculated by multiplying the original fluorescence amount ratio by the final fluorescence correction value and the original fluorescence correction value; the fluorescence deviation parameter is calculated by taking the ratio of the difference between the final fluorescence amount and the theoretical fluorescence amount.

[0149] The theoretical parameter derivation and deviation calculation expressions satisfy the following relationship:

[0150] ;

[0151] ; In the formula, This is the theoretical fluorescence amount. This represents the amount of fluorescence in its original state. This is the fluorescence correction value corresponding to the final state pH. This represents the fluorescence correction value corresponding to the original pH level. For fluorescence deviation parameters, This represents the final state fluorescence intensity.

[0152] Substituting the relevant values, the theoretical fluorescence intensity is calculated to be 618.13. Substituting the final-state fluorescence intensity of 700.000, the fluorescence deviation parameter is calculated to be 13.2%.

[0153] Therefore, although the final-state fluorescence intensity surged dramatically from 33.950 to 700.000, an apparent enhancement of approximately 20.6 times, the vast majority of this change can be reasonably explained by the abrupt energy level transitions under the strong base polarity response of the molecule itself. After deducting the intrinsic response, the actual luminescence gain contribution of the exogenous material, which exceeds the intrinsic polarization interference range, is only about 13.2%.

[0154] 3. Potential deviation parameter correction: The theoretical half-wave potential is calculated by adding the difference between the initial half-wave potential and the final half-wave potential difference to the initial half-wave potential; the potential difference between the final half-wave potential and the theoretical half-wave potential is then calculated to determine the generated potential deviation parameter.

[0155] The theoretical parameter derivation and deviation calculation expressions satisfy the following relationship:

[0156] ;

[0157] ; In the formula, This is the theoretical half-wave potential. This is the original half-wave potential. This represents the potential difference corresponding to the final state acidity / alkalinity. This represents the potential difference corresponding to the original pH level. For potential deviation parameters, This is the final half-wave potential.

[0158] Substituting the relevant numerical values, the theoretical half-wave potential is calculated to be -0.4915 volts. Substituting the final-state half-wave potential of -0.5000 volts, the calculated potential deviation parameter is -0.0085 volts.

[0159] Without calibration, a direct comparison results in an apparent polarization potential shift of -0.1825 volts. However, after filtering the thermodynamic potential shift using this invention, the potential deviation exceeding the endogenous slip is only -0.0085 volts, effectively blocking the pseudocatalytic illusion induced by pure proton-driven processes.

[0160] 4. Current deviation parameter correction: By inversely estimating the current correction coefficients corresponding to multiple channels through the absolute values ​​of the original anode current and the original cathode current, the theoretical anode current and the theoretical cathode current are calculated and generated. The ratio difference between the measured parameters of the final current and the corresponding theoretical unbiased parameters is obtained, and the anode deviation parameters and the cathode deviation parameters are calculated and generated.

[0161] The theoretical parameter derivation and deviation calculation expressions satisfy the following relationship:

[0162] ;

[0163] ;

[0164] ;

[0165] ; In the formula, Theoretical anode current, This is the original state anode current. This is the anodic correction value corresponding to the final state pH. This is the anodic correction value corresponding to the original pH level. For the anode deviation parameter, This is the final state anode current; This is the absolute value of the theoretical cathode current. This represents the absolute value of the original cathode current. This is the cathode correction value corresponding to the final state pH. This is the cathode correction value corresponding to the original pH level. For cathode deviation parameters, This represents the absolute value of the final-state cathode current.

[0166] Substituting the relevant values, the theoretical anode current is calculated to be 7.466 microamps. Substituting the final anode current of 7.800 microamps, the anode deviation parameter is calculated to be 4.5%.

[0167] The theoretical cathode correction value was calculated to be 3.705 μA. Substituting this into the final state cathode correction value of 3.900 μA, the cathode deviation parameter was calculated to be 5.3%.

[0168] Therefore, although the final state Faraday current expands compared to the reference state, most of the aforementioned anomalies can be spontaneously explained by the molecular electrochemical response itself, and the net deviation value after removing the background noise is limited.

[0169] Example 7: Output of Comprehensive Index and Comprehensive Rating The corresponding embodiments are used to illustrate how to substitute the various deviation parameters derived from Embodiment 6 into the judgment rules to generate the final correction and rating conclusion.

[0170] Based on the aforementioned calculations, the following deviations from the array are obtained: UV deviation parameter is 0.242, fluorescence deviation parameter is 0.132, potential deviation parameter is -0.0085 volts, anode deviation parameter is 0.045, and cathode deviation parameter is 0.053.

[0171] Specifically, it performs multidimensional dimension normalization, binarization array construction, and vector weighted product summation calculation: First, divide the absolute value of the potential deviation parameter by the reference potential and perform a normalization operation to map and generate a normalized potential parameter.

[0172] The expression satisfies the following relation:

[0173] ; In the formula, For potential normalization parameter, This represents the absolute value of the potential deviation parameter. The reference potential is the electric potential.

[0174] With the reference potential set at 0.050 volts, the calculated potential normalization parameter is 0.170.

[0175] The deviation parameters of each detection channel are compared with the corresponding preset judgment thresholds. The ultraviolet and fluorescence thresholds are set to 0.20, and the current threshold is set to 0.10.

[0176] Based on their respective channel determination functions: Since the UV deviation parameter meets the standard, excitation is supported, and the absorbance channel determination support item is assigned a Boolean value of 1. The absolute value of the fluorescence deviation parameter, the potential normalization parameter, and the maximum current deviation value are all below their corresponding preset determination thresholds, and the determination support items for the remaining channels are all assigned a Boolean value of 0.

[0177] By summing the aforementioned Boolean decision terms, the generated channel support quantity is calculated to be 1.

[0178] All channel assignment weights are set to 0.25. A composite index is calculated by summing the vector products of each deviation from its absolute value.

[0179] The composite index satisfies the following relationship:

[0180] ; In the formula, As a composite index, Assign weights to the ultraviolet channel. Assign weights to the fluorescence channels. Assign weights to the potential channels. Assign weights to electrochemical channels.

[0181] Substituting the values, the result is 0.1483.

[0182] The comprehensive rating threshold pool is as follows: low level threshold is 0.10, medium level threshold is 0.30, and high level threshold is 0.60.

[0183] Since the comprehensive index value of 0.1483 falls between the low and medium thresholds, and the channel support quantity is 1, the comprehensive rating in the output comprehensive evaluation result is classified as weak material level. This suggests that inspectors should not directly misinterpret the original apparent changes as an improvement in the effectiveness of intensive external treatment.

[0184] Further quantitative assessment of environmental misjudgment risk was conducted, and the intrinsic risk items of each channel were retrieved under the high-risk section with a final pH of 11.93.

[0185] The expression for the vector summation of risk quantification values ​​satisfies the following relationship:

[0186] ; In the formula, As a quantified value of risk, The risk allocation ratios and weights for ultraviolet, fluorescence, potential, and electrochemical channels are respectively... These are the intrinsic risk items retrieved from each channel.

[0187] In this embodiment, the weights of the four risk allocation ratios are all... Substituting the corresponding intrinsic risk term, the numerical value is multiplied and accumulated to obtain the quantified risk value. .

[0188] The risk grading threshold pool is as follows: Level 1 threshold is 0.30, Level 2 threshold is 1.00, and Level 3 threshold is 2.00.

[0189] Since the risk quantification value of 5.641 exceeds the level 3 threshold, the output risk qualitative level is determined to be extremely high. This indicates that without performing the baseline calibration of this invention, the original direct-read comparison results will be affected by spontaneous responses.

[0190] Further retrieval of the channel mutual exclusion determination formula: Substituting into the binarized array, the calculated channel mutual exclusion is 0, indicating that this batch does not belong to a significant multi-channel conflict situation.

[0191] By integrating the aforementioned deduction conclusions, a linkage feedback mechanism is generated between the output framework table (Table 6), the decision mapping table (Table 7), and the output instance table (Table 8).

[0192] Table 6 Output Frame Table

[0193]

[0194] Table 7 Decision Mapping Table

[0195]

[0196] Table 8 Output Examples

[0197]

[0198] Analyzing the multidimensional output feedback chain in Tables 6, 7, and 8, the correction evaluation system separates apparent signal abrupt changes into intrinsic background noise and external intervention-level qualitative analysis. Under the resonance linkage condition where the comprehensive rating is determined to be of weak material grade and the risk level is qualitatively classified as extremely high risk, the final output provides a textual prompt for the review action chain: The final pH of the exogenous material after treatment is in the high-risk zone of strong base; the intrinsic molecular response is sufficient to cause most of the absorption attenuation, fluorescence enhancement, and potential shift. After deducting the aforementioned intrinsic background noise, only the UV absorption single channel weakly crosses the noise tolerance threshold, indicating extremely weak evidence of actual material contribution. It is recommended to introduce a material blank control, retest pH, and perform a scattering-filling blank re-examination to avoid false positives.

[0199] As can be seen from this embodiment, the present invention does not judge ultraviolet, fluorescence or electrochemical signals separately in isolation. Instead, it first uses the intrinsic response coefficient library to calculate the theoretical unbiased parameters of each channel, then calculates the deviation parameters, and finally outputs a unified material evaluation conclusion through weights, thresholds and risk factors.

[0200] In this embodiment, without correction, the signal before and after material treatment shows a 97.0% decrease in apparent absorbance, an approximately 20.6-fold increase in apparent fluorescence, and a -0.1825V negative shift in apparent half-wave potential. However, after correction by this invention, the comprehensive index is only 0.148, with a comprehensive rating of weak material and a risk level of extremely high. This result demonstrates that this invention can effectively avoid misjudging the intrinsic strong base response of the molecule as enhanced material performance, and the output indicators can provide a basis for batch screening and verification of anomaly evaluation results.

[0201] For example, Figure 2 The figure shows the UV spectrum of the dye molecule from low-order pH to the reference pH. During the evolution from low-order pH to reference pH, the maximum absorption wavelength of the dye response solution remains stable, and the characteristic absorbance remains high. No deep physical recombination of the chromophores occurs in the corresponding stage. Based on the aforementioned evolution, the UV correction values ​​extracted in the corresponding intervals show a smooth physical transition, verifying the stability of the absorption characteristics in conventional polarity. The extraction results show that the UV response table established by this method reflects the intrinsic absorption capacity of the dye molecule under normal conditions, providing a comparative basis for stripping physical distortions at high-order pH.

[0202] For example, Figure 3The figure shows the UV spectrum of dye molecules in the strong base polar region. When the pH value enters the higher-order strong base polar region, the characteristic absorbance drops endogenously, and the maximum absorption wavelength physically shifts to the high-frequency band. The strong base polar erosion induces the reconstruction of the absorption band of the chromophore, resulting in intrinsic absorption attenuation of the dye molecules themselves. In contrast, this invention measures the absorption retention ratio in the corresponding range by calculating the UV correction value, avoiding the misjudgment of physical endogenous attenuation as a distortion in the rating of the degradation efficiency of exogenous materials. The calculation results show that the constructed UV response table measures the optical blanking noise under strong base conditions, suppresses the overestimation misjudgment induced by polarity slip, and ensures the accurate calculation of the extinction stripping potential energy of exogenous materials.

[0203] For example, Figure 4 The figure shows the fluorescence spectrum of the dye molecule from low-order pH to the reference pH. Within the normal polarity range, the fluorescence distribution function of the dye molecule exhibits low-noise and smooth characteristics, and the fluorescence intensity in the frequency band remains in the low operating range, with endogenous luminescence fluctuations being physically limited. Furthermore, the energy level interval between the spin ground state and the excited state tends to be stable in the corresponding stage, and no endogenous luminescence anomalies appear. Based on the aforementioned stable state, this invention calculates the fluorescence mutation level and sets a low-noise control baseline under normal physical states. The results show that the aforementioned control baseline defines the intrinsic fluorescence fluctuation limit and establishes the physical premise for providing a low-noise comparison scale.

[0204] For example, Figure 5 The figure shows the fluorescence spectrum of the dye molecule in the strongly alkaline polar domain. Under deep alkaline conditions, the radiative density of states of the dye molecule undergoes nonlinear lasing, resulting in a significant jump in fluorescence intensity in the frequency band. The aforementioned luminescence anomaly masks the true physical intervention of the exogenous material. In contrast, this invention introduces a fluorescence mutation level for risk interception, effectively isolating intrinsic artifacts induced by the endogenous environment and avoiding the rating loophole of conventional testing methods that misjudge polarization interference as the inclusion effect of exogenous materials. The correction results show that this method effectively removes the physically amplified intrinsic polarization interference, avoids the interference of false luminescence contributions, and provides a purified evaluation index for characterizing the true modification dynamics of exogenous materials.

[0205] For example, Figure 6 The figure shows the cyclic voltammetry curves of dye molecules from low-order acidity to the reference acidity. Due to the thermodynamic pull of the free proton concentration at the acidic polarization end, the half-wave potential of the working electrode physically drifts towards the positive polarization direction, deviating from the ideal midpoint. Based on the aforementioned deviation, this invention measures the degree of polarization shift caused by electron transport resistance by extracting the potential difference value and the anode and cathode correction values, and determines the spatial deviation limit of the endogenous thermoelectric potential. The evaluation results show that extracting the endogenous polarization drift baseline blocks the interference of false charge, and establishes a comparison benchmark for identifying the charge transfer dynamics of exogenous materials.

[0206] For example, Figure 7 The figure shows the cyclic voltammetry curves of dye molecules in the strongly basic polar domain. In this domain, the half-wave potential shifts significantly towards negative polarization, while the anodic and cathodic currents exhibit intrinsic fluctuations. The solid-liquid potential slip alters the current response pattern. In contrast, this invention derives theoretical unbiased parameters from an intrinsic response coefficient library, eliminating the physical noise derived from polarization field distortion. This avoids the pitfall of conventional electrical measurement methods that misjudge the amplification of pure proton-driven current as the catalytic acceleration capability of exogenous materials. The results show that this invention effectively mitigates the false physical gain induced by microenvironmental distortion, filters out apparent interference that leads to overestimation of catalytic rating due to test anomalies, and improves the physical quality of the joint anti-interference scale within the electrical measurement evaluation system.

Claims

1. A method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue, characterized in that, include: The original pH of the system before the addition of exogenous materials was obtained, and the original absorbance, original fluorescence, original half-wave potential, original anodic current and original cathodic current were recorded simultaneously as multi-channel original measured parameters. The final state pH of the material at the end of its action phase was obtained, and the final state absorbance, final state fluorescence, final state half-wave potential, final state anodic current and final state cathodic current were recorded simultaneously as multi-channel final state measured parameters. Based on the original and final pH values, a pre-constructed intrinsic response coefficient library is retrieved, and corresponding multi-channel unbiased parameters are derived. The pre-constructed intrinsic response coefficient library is generated by arranging multiple sets of extracted spectral correction parameters and extracted electrochemical intrinsic parameters under discrete pH conditions. Based on the degree of deviation between the measured parameters of the multi-channel final state and the corresponding unbiased parameters of the multi-channel, ultraviolet deviation parameters, fluorescence deviation parameters, potential deviation parameters, and electrochemical deviation parameters including anodic and cathodic deviation parameters are calculated and generated respectively. The absolute value of the potential deviation parameter is divided by the reference potential to perform dimensional normalization processing to generate the potential normalization parameter. A comprehensive function is constructed, and corresponding channel weights are assigned to the ultraviolet deviation parameter, fluorescence deviation parameter, electrochemical deviation parameter, and potential normalization parameter. A multi-dimensional joint absolute value weighted summation operation is then performed to obtain the comprehensive index. Based on the comprehensive index and the ultraviolet deviation parameter, fluorescence deviation parameter, electrochemical deviation parameter and potential normalization parameter, a binary array is constructed by setting a preset judgment threshold and Boolean logic judgment is performed. The channel interlocking algorithm is used to generate an anti-interference correction evaluation system and output the corrected material evaluation results, misjudgment risk level and review prompt. The pre-built intrinsic response coefficient library includes: Prepare a base response solution with a preset effective concentration value; Acidic or alkaline additives were added to the base response solution in different containers to generate dye response solutions under different acid and alkaline conditions, and the effective concentration values ​​of the multiple solutions were kept constant under the same batch test conditions. A reference standard solution was generated by extracting the dye response solution without the addition of acidic or alkaline additives. The initial pH value associated with the reference reference solution is recorded as the reference pH value, and the absolute values ​​of the corresponding reference absorbance, reference fluorescence, reference half-wave potential, reference anodic current and reference cathodic current are extracted simultaneously as reference characteristic parameters.

2. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 1, characterized in that, The composite index satisfies the following relationship: ； In the formula, The composite index, Assign weights to the ultraviolet channels. Assign weights to the fluorescence channels. Assign weights to the potential channels. Assign weights to electrochemical channels. The ultraviolet deviation parameter is mentioned above. The fluorescence deviation parameter is... The potential deviation parameter is... The reference potential is given. The anodic deviation parameter is extracted from the electrochemical deviation parameter. The cathode deviation parameter is extracted from the electrochemical deviation parameter.

3. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 1, characterized in that, The spectral correction parameters include ultraviolet correction values ​​and maximum absorption wavelengths. The extraction of spectral correction parameters includes: By performing ultraviolet spectral scanning on dye response solutions under different acid and alkaline conditions, the mapping relationship between detection wavelength and distributed absorbance is obtained, and an absorbance function is generated. The distributed absorbance corresponding to each detection wavelength within the preset absorption frequency band is accumulated and divided by the total number of wavelength nodes to generate the characteristic absorbance; the wavelength corresponding to the maximum value in the absorbance function is extracted as the maximum absorption wavelength; The UV correction value is calculated by dividing the characteristic absorbance by the reference absorbance; the characteristic absorbance and the UV correction value satisfy the following relationship: ； ； In the formula, Characteristic absorbance, This represents the total number of wavelength nodes. To detect wavelength, To distribute absorbance, This is the UV correction value. As the baseline absorbance, The baseline pH level is used.

4. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 3, characterized in that, The spectral correction parameters also include fluorescence correction values ​​and fluorescence abrupt change levels. The extraction of spectral correction parameters includes: Excitation light is applied to the dye-responsive solution and the emission spectrum is collected to generate the fluorescence distribution function; The frequency band fluorescence intensity is obtained by calculating the arithmetic mean of the discrete fluorescence intensity corresponding to multiple discrete emission wavelengths within the preset fluorescence frequency band. The fluorescence correction value is calculated by dividing the fluorescence intensity of the frequency band by the reference fluorescence amount. The fluorescence mutation level is generated by calculating the absolute value of the difference between the fluorescence correction value and the constant 1.

5. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 4, characterized in that, The intrinsic electrochemical parameters include potential difference values, anodic correction values, and cathode correction values. The extraction of intrinsic electrochemical parameters includes: Cyclic scanning potentials are applied to the dye response solution to obtain the current trajectory of the working electrode and generate cyclic voltammetry curves. Extract the anode peak potential, cathode peak potential, anode current, and cathode current corresponding to the cyclic voltammetry curve; The half-wave potential is calculated by summing the anode peak potential and the cathode peak potential and taking the half-average value. The potential difference value is generated by calculating the difference between the half-wave potential and the reference half-wave potential. The anode correction value and the cathode correction value are calculated by dividing the absolute values ​​of the anode current and the cathode current by the corresponding absolute values ​​of the reference anode current and the reference cathode current, respectively.

6. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 5, characterized in that, The pre-constructed intrinsic response coefficient library is generated by arranging multiple sets of extracted spectral correction parameters and extracted electrochemical intrinsic parameters under discrete acidity and alkalinity conditions, including: The ultraviolet correction value, the maximum absorption wavelength, the fluorescence correction value, the fluorescence abrupt change level, the potential difference value, the anodic correction value, and the cathodic correction value extracted at each discrete pH are arranged into an intrinsic correction array with a unified dimension, and the intrinsic correction arrays of all discrete nodes are connected in series to form the intrinsic response coefficient library. When the original pH or the final pH falls within the adjacent low-order and high-order pH ranges in the intrinsic response coefficient library, a first-order linear geometric mapping is performed using the low-order calibration parameters corresponding to the low-order pH and the high-order calibration parameters corresponding to the high-order pH, generating an interpolated estimated value. Based on the estimated value, the multi-channel unbiased parameter is deduced; the estimated value satisfies the following relationship: ； In the formula, For estimated values, To assess pH level, Low pH level, For higher pH levels, These are low-order calibration parameters. These are high-order calibration parameters.

7. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 6, characterized in that, The derivation generates corresponding multi-channel unbiased parameters, and calculates and generates UV deviation parameters, fluorescence deviation parameters, potential deviation parameters, and electrochemical deviation parameters including anodic and cathodic deviation parameters, including: The multi-channel unbiased parameters include theoretical absorbance, theoretical fluorescence, theoretical half-wave potential, theoretical anodic current, and theoretical cathode current. Theoretical absorbance, theoretical fluorescence, theoretical anodic current, and theoretical cathodic current are the products obtained by multiplying the absolute values ​​of the original absorbance, original fluorescence, original anodic current, and original cathodic current by the correction ratio of the corresponding dimension, respectively. The corresponding correction ratios are the ratios obtained by dividing the UV correction value, fluorescence correction value, anodic correction value, and cathodic correction value corresponding to the final pH by the UV correction value, fluorescence correction value, anodic correction value, and cathodic correction value corresponding to the original pH in turn. The theoretical half-wave potential is the sum of the difference between the potential difference corresponding to the final state acidity and alkalinity and the potential difference corresponding to the original state acidity and alkalinity, and the original state half-wave potential. The ultraviolet deviation parameter is the value obtained by dividing the difference between the theoretical absorbance and the final absorbance by the theoretical absorbance. The fluorescence deviation parameter, anodic deviation parameter, and cathode deviation parameter are the values ​​obtained by subtracting the theoretical fluorescence quantity, theoretical anodic current, and theoretical cathode current from the final state fluorescence quantity, the final state anodic current, and the final state cathode current, respectively, and then dividing them by the theoretical fluorescence quantity, theoretical anodic current, and theoretical cathode current, respectively. The potential deviation parameter is the difference between the final half-wave potential and the theoretical half-wave potential.

8. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 1, characterized in that, The process involves constructing a binary array by setting a preset judgment threshold and performing Boolean logic judgments. A channel interlocking algorithm is used to generate an anti-interference correction evaluation system, which outputs the corrected material evaluation results, misjudgment risk level, and review prompts, including: The absolute values ​​of the ultraviolet deviation parameter, fluorescence deviation parameter, potential normalization parameter, anodic deviation parameter, and cathode deviation parameter are extracted and compared with their corresponding preset judgment thresholds to construct a binary array. Summation of active Boolean value generation channel support in a binary array; The system combines the support volume and comprehensive index of the comparison channels to output corrected material evaluation results, misjudgment risk levels, and review prompts.

9. The method for evaluating and correcting model dye materials based on a library of intrinsic pH response coefficients of methylene blue according to claim 8, characterized in that, The joint comparison channel supports the quantity and comprehensive index, outputting corrected material evaluation results, misjudgment risk level, and review prompts, including: When the comprehensive index is lower than the corresponding preset comprehensive rating threshold and the channel support amount is equal to 1, the output parameter is used to identify the data source distortion and to provide a basis for material screening and abnormal evaluation result verification.

Images