Method for quantitatively evaluating skin surface anti-oxidation effect in real time

Abstract

The invention relates to a method for quantitatively evaluating the anti-oxidation effect of a skin surface in real time. The method comprises the following steps: applying a reaction medium with a standard potential window on the skin surface; the reducing capacity of skin antioxidant molecules is indirectly reflected through real-time potential drift of electron concentration change in the reaction process; constructing a surface electron acceptor reaction relation framework taking the skin as a reaction main body; deploying the modified electrode array on the skin surface; each pair of electrode sites responds to corresponding reactive oxygen species (ROS); collecting a transient response current and time curve and generating a characteristic curve combination map; an anti-oxidation response electrochemical space fingerprint is established through the pattern form and the response gradient; dividing the electrochemical response signal into a plurality of reaction micro windows; establishing a biophysical state vector of the individual skin by detecting basic conductivity, moisture capacitance and micro-temperature change of the skin surface; the vectors are used for conducting numerical value normalization and response range calibration on the response curve, and a unified standardized anti-oxidation response value is output.

Description

TECHNICAL FIELD

[0001] The present application relates to a method for evaluating the antioxidant efficacy of the skin surface, in particular a method for real-time quantitative evaluation of the antioxidant efficacy of the skin surface. BACKGROUND

[0002] The prior art such as Chinese patent CN113692245A skin state detection sensor module and skin state detection device, although it proposes a reasonable structure and high flexibility of the sensing module design in the sensing structure design of the skin state detection, has a certain degree of biological signal detection ability, but in the application direction of evaluating the antioxidant efficacy of the skin surface, there are still many structural and functional limitations, which is difficult to meet the needs of deep electrochemical reaction capture and electronic behavior modeling required by antioxidant function detection. Its essence is more suitable for static or semi-dynamic monitoring of skin moisture, capacitance, conductance and other physical parameters, rather than in-situ dynamic sensing of skin free radical stress response or antioxidant electron transfer behavior. First of all, the existing technology mainly adopts a capacitive coupling or impedance conversion type detection principle composed of sensor electrodes and floating electrodes, and the core measurement object is the dielectric constant, hydration state, resistance impedance distribution and other biophysical signals of the skin surface. Although this mechanism can indirectly evaluate the dry and wet degree, barrier state or conductance level of the skin, it does not have the electrochemical detection ability to sense the key electron transfer process in the antioxidant reaction, so it cannot directly capture the skin's removal behavior of free radical active oxygen species (ROS), nor can it establish a quantitative response curve of the antioxidant reaction intensity and dynamic change process of the skin surface.

[0003] Secondly, although the scheme proposes a grid pattern structure electrode design and thin film type fitting method, which can improve the flexibility and comfort of skin fitting to a certain extent, its detection principle mainly depends on electric field coupling or capacitance change, rather than quantifiable current or potential drift generated by reversible electron reaction, so it cannot realize in-situ detection means by applying stable potential stimulation to induce antioxidant reaction, and cannot form the reaction mapping relationship between skin and electron acceptor material, which makes the method have natural blind area in evaluating the efficacy of skin antioxidant products, judging the strength of antioxidant, response rate and other dimensions. In addition, the existing technology does not propose an effective data standardization processing mechanism, lacks the ability to normalize the individual differences of the test object (such as skin temperature, water and oil state, resistance change), resulting in strong volatility and incomparability of the evaluation results in multiple tests or cross-population comparison, which will seriously restrict the practical value in skin care product efficacy verification, personalized antioxidant intervention or long-term skin function tracking scenarios. Especially in the evaluation of antioxidant behavior, the dynamic characteristics of skin electron release behavior and reaction fatigue, persistence, etc. are the core indicators to judge the strength of antioxidant capacity and product efficacy, and the technical scheme in the existing technology does not involve any modeling mechanism related to response rate, reaction slope and free radical scavenging efficiency, nor does it propose a strategy for time axis segmentation and micro-window dynamic processing of response behavior process, so it cannot dynamically, quantitatively and stage-wise express the whole process of antioxidant reaction. SUMMARY

[0004] The purpose of the present application is to provide a method for real-time quantitative evaluation of skin surface antioxidant efficacy, thereby solving some of the problems and deficiencies pointed out in the background art.

[0005] The technical scheme adopted by the present application to solve the above technical problems is as follows: a method for real-time quantitative evaluation of skin surface antioxidant efficacy, comprising: applying a reaction medium with a standard potential window to the skin surface; indirectly reflecting the reducing ability of skin antioxidant molecules through real-time potential drift of electron concentration change during the reaction; constructing a surface electron acceptor reaction relationship framework with skin as the reaction main body. Deploying the modified electrode array on the skin surface; each pair of electrode sites responds to the corresponding pair of reactive oxygen ROS species; collecting the instantaneous response current-time curve and generating the characteristic curve combination atlas; establishing the antioxidant response electrochemical space fingerprint through the atlas form and response gradient; dividing the electrochemical response signal into multiple reaction micro-windows; calculating the response rate in each time period to obtain the reaction slope matrix; By detecting the skin surface basic conductance, moisture capacitance and micro-temperature changes through the non-invasive skin surface micro-sensor, a skin state vector is established; the skin state vector is used for numerical normalization and response range calibration of the response curve, and a unified standardized antioxidant response value is output.

[0006] Further, the method for constructing the surface electron acceptor reaction relationship framework with the skin as the reaction main body comprises the following steps: setting a detection area on the measured skin surface, constructing an in-situ reaction medium system containing an electron acceptor probe, so that the skin directly participates in the reaction process as an antioxidant electron donor; deploying an electron acceptor material with a stable potential initial state in the reaction medium, and the electron acceptor material has an electron transfer reaction with the antioxidant molecules on the skin surface; Real-time monitoring of the potential drift caused by the change of electron concentration in the reaction medium system, and the potential drift response process is analyzed on the time axis to obtain the reaction trend, initial response rate and stable state index of the antioxidant behavior of the skin surface; and constructing the response mapping relationship between the skin antioxidant behavior and the electron accepting system according to the potential response characteristics.

[0007] Further, the electron acceptor material is a free radical probe or a modified electrode material, which is used to simulate oxidative stress and has an electron exchange reaction with the antioxidant components of the skin; the potential drift is the interface potential change caused by the reduction of free radicals by the antioxidant molecules of the skin, and the drift amplitude and rate are used to quantitatively evaluate the antioxidant capacity.

[0008] In the present application, a stable electron acceptor micro-interface system is first constructed on the measured skin surface, wherein the electron acceptor material includes a modified DPPH, a stable free radical probe of TEMPO derivative or a surface functionalized micro-electrode structure; the acceptor system has a stable initial interface potential, which is used to accept electrons released from natural antioxidants of the skin, such as vitamin C, glutathione and polyphenols; when the skin has an antioxidant reaction, the antioxidant components of the skin provide electrons to the acceptor system, thereby causing the drift of the interface potential of the acceptor system; in order to mathematically model and quantitatively evaluate this process, a nonlinear response function model is used, and the expression is as follows: Wherein: Ψ(t) represents the standard antioxidant response intensity per unit area of the skin at time t; ∧ is the overall physiological regulation coefficient, reflecting the basic metabolic state of the skin; α(t) is the electron release rate per unit time of the skin at time t, which can be obtained by calculating the current difference; Δφ(t) is the potential drift amplitude recorded by the electron acceptor system at time t; δ(t) is the drift rate, that is, the time derivative of Δφ(t), representing the acceleration behavior in the reaction process; ∈ is a stabilization constant to avoid the singularity problem of the logarithmic term; γ is the response inertia regulation coefficient, reflecting the response delay characteristics of the acceptor system; The function form integrates dynamic behavior factors such as the square of the electron release rate and the nonlinear logarithmic response mechanism against the mutation of the antioxidant reaction, accurately characterizing the electron response ability, release efficiency and reaction persistence of the skin under free radical stress; by integrating or peak analysis of Ψ(t), the standardized antioxidant index value, total activity and reaction fatigue value evaluation indicators can be output.

[0009] Further, the response mapping relationship forms an electrochemical dynamic characteristic curve by continuously recording the electron release behavior of the skin, and the relationship between the curve shape and the skin antioxidant activity corresponds.

[0010] Further, the step of calculating the reaction slope matrix by operating on the response rate in each time period comprises: S1, deploying an electrochemical response sensing system on the surface of the measured skin, and collecting the original electrochemical response signal generated in the antioxidant reaction process; dividing the electrochemical response signal into a plurality of continuous reaction micro-windows in chronological order, each micro-window corresponding to a single fixed time period; S2, rate analysis is performed on the electrochemical signal data in each reaction micro-window to obtain the response trend in that time period; the response rates of the reaction micro-windows are combined in chronological order to form a reaction slope matrix, which is used to dynamically characterize the whole process of the skin antioxidant reaction; S3, analyzing the initial reaction rate, peak stage, duration and attenuation characteristics of the antioxidant reaction according to the reaction slope matrix, and quantitatively evaluating the skin antioxidant capacity.

[0011] Further, the electrochemical response signal includes a current signal collected under constant potential or pulse stimulation conditions, and the response rate is the slope of the change of the current with time; the time span of the reaction micro-window is between 0.1 seconds and 1 second, which is adaptively adjusted according to the skin reaction speed.

[0012] Further, the reaction slope matrix reflects the change of the skin's ability to release electrons at different time points, and is used to analyze the dynamic trend, volatility and stage characteristics of the skin antioxidant capacity; based on the reaction slope matrix, the skin antioxidant indicators are calculated, including the antioxidant initial speed, the reaction peak rate, the response fatigue index and the continuous response ability score.

[0013] Further, the output unified standardized antioxidant response value construction method comprises: In-situ electrochemical response detection is performed on the measured skin area to obtain an original antioxidant response signal curve; a plurality of physiological parameters of the detection area are synchronously collected for characterizing the current state of the skin, including conductivity, skin surface temperature, capacitance, water-oil balance value, electrical impedance, and initial drift potential; The physiological parameters are constructed into a skin individual state vector for reflecting the basic response characteristics of the skin at the test time point; and a response normalization factor is generated according to the skin state vector to perform calibration processing on the original electrochemical response curve in terms of response intensity, initial level, and response range; The calibrated antioxidant response standardized curve is output, and a unified antioxidant capacity evaluation index is generated.

[0014] Further, each parameter in the skin state vector is acquired in real time by a non-invasive skin surface micro sensor, the sensor comprising a conductivity probe, a capacitance sensor, and an infrared temperature module; and the normalization factor is generated based on the mapping relationship between each parameter in the skin state vector and the response curve characteristics.

[0015] Further, the unified antioxidant capacity evaluation index comprises a standard response intensity, a standard reaction rate, a standard antioxidant index, and an individual calibrated efficacy score curve.

[0016] The present application has the following beneficial effects: by directly deploying an electrochemical sensor on the skin surface, using stable electron acceptor materials to monitor the electron exchange behavior of natural antioxidant molecules in the skin, without blood sampling, sampling or invasive treatment, dynamic data of the whole process of skin antioxidant response can be obtained, significantly improving user experience and operation convenience. Through data processing in multiple dimensions such as potential drift, current change, and response rate, a reaction slope matrix and a characteristic curve are dynamically constructed, and the electron behavior is taken as the core evaluation logic of the skin antioxidant capacity, providing a whole process dynamic description from reaction occurrence-rate change-intensity attenuation-behavior convergence.

[0017] By acquiring the parameters of conductivity, capacitance, temperature, water-oil balance value, etc. in real time through a non-invasive sensing module, an individual skin physiological state vector is constructed, thereby performing adaptive calibration on the antioxidant response curve, effectively eliminating individual differences, environmental fluctuations, and other interference factors, and improving the comparability of the data and the scientificity of the evaluation results. Not only the standard response intensity, the standard reaction rate, and the unified antioxidant index are output, but also the dynamic efficacy score curve after individual calibration is provided, which is convenient for efficacy tracking of skin care products, skin state trend analysis, and generation of user personalized skin care suggestions. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 Flow chart for real-time evaluation of skin surface antioxidant efficacy of the present application.

[0019] Figure 2 Function relationship diagram for skin antioxidant space-time electrochemical analysis of the present application.

[0020] Figure 3 Function relationship diagram for skin antioxidant evaluation based on physiological state normalization of the present application.

[0021] Figure 4 Flow chart for skin antioxidant efficacy detection and dynamic comparison of Ms. Lin of embodiment 1 of the present application.

[0022] Figure 5 Flow chart for skin antioxidant behavior slope matrix modeling and dynamic evaluation of embodiment 2 of the present application.

[0023] Figure 6 Flow chart for standardized skin antioxidant response multi-round comparison and dynamic tracking of embodiment 3 of the present application. DETAILED DESCRIPTION

[0024] The specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0025] The specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Figure 1The present invention provides a method for real-time quantitative evaluation of the antioxidant efficacy of the skin surface. The skin itself is regarded as a functional entity participating in an in-situ electron exchange reaction. An electron transfer process occurs between an external reaction medium with a standard potential window and the natural antioxidant molecules on the skin surface. The potential drift signal generated by this process is used to achieve non-invasive and dynamic quantification of antioxidant capacity. First, an electrochemical reaction interface is formed in the measured skin area. The interface is composed of an attachment structure made of a flexible transparent material and a reaction medium with a standard potential window embedded therein. The reaction medium contains an electron acceptor system with a stable structure, such as a functionalized free radical probe or a surface-modified electrode nanomaterial. Its electrochemical properties remain stable in the initial state and can undergo measurable potential changes when receiving electrons from the skin. During the test, the system detects minute potential shifts in the medium, indirectly reflecting the reduction behavior of antioxidant molecules (such as vitamin C, glutathione, and polyphenols) on the skin surface under a free radical-simulating environment. When natural antioxidants on the skin surface exchange electrons with the standard electron acceptor, the electron concentration within the interface system dynamically adjusts, causing a measurable interface potential shift. This shift signal, an electrochemical expression of antioxidant behavior, is continuously recorded and converted into a response data stream. Based on this potential shift response curve, the system establishes a reaction relationship model with the skin itself as the electron donor. This model, by correlating multiple indicators such as potential change trend, response rate, initial response delay time, and drift stability, reflects the skin's electron supply capacity and response regulation behavior in response to exogenous oxidative stress, thereby forming a skin-centered surface electron acceptor reaction relationship framework. This framework not only captures the instantaneous manifestation of skin antioxidant capacity but also tracks the integrity and continuity of the reaction process over time. The final output includes quantitative results such as an antioxidant response index, a reaction stability score, and an individual antioxidant trend curve.

[0026] Combined with attachment Figure 2, by constructing a dynamic mapping mechanism between electrochemical response signals and skin antioxidant capacity, forming a space-time joint analysis framework that can describe the whole reaction process. Through the flexible and conformable microelectrode array, multiple functional electrode sites are deployed on the skin surface to be tested, each pair or group of electrodes in the electrode array is modified with different sensitive materials, which are respectively specific to different types of reactive oxygen species (ROS), including but not limited to hydroxyl radicals, superoxide anions, hydrogen peroxide, etc. The material modification method can be based on electrocatalytic structure, polypeptide functional group, or metal organic framework regulation to achieve selective recognition and signal conversion of different ROS. In the actual detection process, each electrode site continuously collects the instantaneous current change value during the interaction between the skin and ROS through constant potential, pulse or scanning electrochemical technology, and synchronously records the current-time (I-t) curve. The system arranges all the curves output by the electrode sites in chronological order and classifies and combines them with feature extraction algorithms, and finally generates a set of multi-channel electrochemical characteristic curve atlas describing the overall antioxidant behavior of the skin. The morphology of the atlas, the peak shift between curves, the response starting delay and the current gradient change are used to construct an antioxidant electrochemical fingerprint structure in the spatial dimension, that is, each electrode response is mapped to a high-dimensional behavior vector, forming an electronic behavior image describing the response mode of the skin to multiple oxidative stimuli. Further, the original electrochemical response signal is processed in the time dimension, and the complete response time period is divided into several continuous reaction micro-windows, each window representing a dynamic process segment with a fixed time length, for example, each 0.5 second is a window. The system calculates the response current change rate, change direction and stability index in each micro-window, obtains the response behavior slope of the time period through the first-order difference and local trend fitting of the data in the window, and finally combines the slope parameters of all reaction micro-windows in chronological order to form a reaction slope matrix. The matrix reflects the rate evolution path of the skin antioxidant reaction and the dynamic decay law of the response intensity. The structural differences between different samples or individuals on the reaction slope matrix can be used to distinguish the antioxidant capacity, peak position and maintenance duration, and also can be used as a basis for comparison before and after cosmetic or therapeutic intervention.

[0027] The accompanying drawings are incorporated in and constitute a part of this specification. Figure 3, based on the standardization of the response data processing mechanism of the individual physiological state of the skin, to solve the problem of the difference between the antioxidant evaluation results caused by the difference of the skin characteristics of different individuals. First, a set of non-invasive sensor modules are arranged on the skin surface for synchronous acquisition of the basic conductivity, moisture-related capacitance and slight fluctuation of the skin surface temperature. These three parameters reflect the current conductivity characteristics, stratum corneum hydration state and microcirculation activity of the skin, which are highly individualized and time-varying. In the data processing stage, these original physiological parameters are standardized and constructed as a skin biophysical state vector, which expresses the basic electrical properties of the skin at the detection time in a multi-dimensional form. Then the system inputs the vector into the response calibration module as a normalization factor to dynamically adjust the original electrochemical response curve, including but not limited to initial amplitude correction, response range compression or expansion, dynamic drift trend offset, etc. Through the normalization process, the original response data affected by the skin characteristics of the tested individual can be corrected to a standard response curve, so as to ensure that the same antioxidant reaction can present a unified performance standard under different individuals or different skin states, and then extract key feature values from the standard response curve, including response rate, clearance efficiency, stable time length, etc., and generate a unified antioxidant evaluation result, such as the standardized antioxidant output index (sAOI), which can be used for cross-population comparison, product efficacy verification, clinical monitoring and long-term individual skin state tracking.

[0028] The embodiment selects a test area on the skin surface that has no obvious trauma, moderate oil and uniform structure, generally selects a part with less environmental interference such as the inner side of the forearm, and then attaches a reaction medium containing an electron acceptor probe to the detection area. The reaction medium is composed of flexible, transparent and biocompatible materials, which contain an electron acceptor material that can stabilize the initial potential, such as DPPH free radicals, TEMPO derivatives or microelectrode structures with surface functionalization treatment. The electron acceptor material is pre-set to have a controllable electron accepting ability to ensure that the interface potential remains constant without electron input. After the test starts, the natural antioxidant molecules released from the skin surface, such as vitamin C, polyphenols or glutathione, begin to react with the acceptor material, causing changes in the electron concentration in the reaction medium and continuous drift of the potential. The potential drift serves as an indirect reflection signal of the skin electron donor behavior, and the entire change process is collected and recorded in real time.

[0029] Subsequently, by analyzing the potential drift signal on the time axis, the system can identify the initial response rate, reaction trend changes, and phase characteristics of the antioxidant response, and other kinetic parameters. Further, in order to accurately describe the interaction mode between the skin antioxidant capacity and the electron acceptor system, the present application establishes a response mapping relationship model based on the potential response characteristics, which maps the rate, amplitude, and duration of potential change to the skin electron release behavior. Among them, the electron acceptor material can be selected as a free radical probe or a modified electrode material to simulate the oxidative stress existing in the free radical environment, thereby enhancing the authenticity and sensitivity of the reaction; the free radical probe exchanges electrons with the skin antioxidant components through a chemical reaction mechanism to form a reversible and measurable reaction path, and the change of the interfacial potential is the electrochemical performance of the electron exchange behavior, and the drift amplitude is used to quantitatively reflect the total amount of antioxidants, and the drift rate is used to evaluate the response speed and release efficiency.

[0030] The step of calculating the response rate in each time period to obtain the reaction slope matrix first includes step S1, that is, deploying a flexible and conformable electrochemical response sensing system on the surface of the skin to be measured, which includes a micro electrode array, a constant potential source or a pulse excitation module, and a high-frequency sampling data collector. The system starts the in-situ collection function of the antioxidant response signal without disturbing the natural state of the skin. After the test starts, the system detects the current response generated by the electron transfer process between the electron acceptor material applied on the skin surface and the skin body in real time. The obtained original electrochemical response signal is a continuous data sequence of current change over time, that is, an I-t curve. Then the system refines the complete time sequence on the time axis, divides the total response process into multiple continuous reaction micro-windows, each micro-window is a fixed time period, the time span is between 0.1 seconds and 1 second, and the window length is adjusted adaptively according to the speed and signal change amplitude of the skin electron release behavior to realize high-resolution capture of fast dynamic response and signal-to-noise ratio optimization of slow change stage.

[0031] In step S2, the system performs mathematical rate analysis on the current signal data in each reaction micro-window, and calculates the change slope of the current in the time period, that is, the rate of change of the current with time, as the instantaneous performance value of the skin electron release capacity in this period by using the first-order difference method, linear fitting or curve local tangent method; the system combines the response rates calculated by each micro-window in time sequence to form a high-time-resolution slope sequence, which is the reaction slope matrix, each column represents the electron supply rate in a time period, and each row can be regarded as a response path comparison of different skin samples or repeated detection, thereby realizing dynamic modeling and behavior expression of the whole process of skin antioxidant reaction.

[0032] In step S3, the system performs time axis feature analysis on the constructed reaction slope matrix, identifies three key stages of the antioxidant reaction: initial reaction period, peak response period and decay stable period, extracts the initial response rate index for judging the immediate response ability of the skin to oxidative stress, extracts the maximum slope value in the peak stage to reflect the upper limit of the intensity of antioxidant electron release, and calculates the response fatigue index through the slope drop rate between consecutive windows, so as to evaluate the persistence and decay speed of the skin antioxidant function; in addition, through the statistics of the time proportion of the continuous existence of the high response window in the slope matrix, the continuous response ability score index can be obtained, which is used to reflect the ability of the skin to maintain efficient response in the whole stimulation cycle.

[0033] The above analysis parameters can be matched and compared with the standard response matrix of different antioxidant behavior modes in the preset database, to further generate a standardized antioxidant score report, and support the comparison between before and after the use of skin care products, different individuals, and the longitudinal tracking of skin function over time.

[0034] By deploying a flexible and conformable microelectrode array system, the electron exchange behavior between the skin and the reaction medium is excited in a constant potential or pulse potential mode during the test, and the electrochemical response signal generated by the reaction is collected in real time, forming a complete antioxidant reaction original current-time curve, which reflects the reaction intensity and dynamic change trend of the skin antioxidant molecule during the electron release process; then the system synchronously starts the multi-parameter non-invasive microsensor module, continuously acquires multiple physiological parameters closely related to the skin state in the same detection area, including but not limited to conductivity (used to reflect the skin horny layer hydration state and ionization channel activity), skin surface temperature (used to judge the blood microcirculation and metabolic state), capacitance (characterizes the skin water storage capacity), water-oil balance value (evaluates the skin sebum film barrier function), electrical impedance (inferred skin overall conductive resistance) and initial drift potential (representing the stability of the electron acceptor system under static conditions); the system integrates the six original physiological parameters to construct a multi-dimensional skin individual state vector, which is a digital expression of the skin's basic response ability and environmental adaptability in this test, and the state vector has a high degree of individualization and is updated in real time in each test.

[0035] The system further establishes a set of corresponding relationships between each parameter in the skin state vector and a plurality of characteristic variables (such as initial current, maximum current, response duration, platform fluctuation rate, etc.) of the antioxidant response curve through a deep learning regression model or an experience mapping function library, and then generates a set of response normalization factors as core parameters for curve calibration. The set of normalization factors is used to correct the original response curve, which specifically includes uniform scaling of response intensity, offset correction of response starting point, scale normalization of response dynamic interval, and stability improvement of tail platform fluctuation, to ensure that the original data curves obtained under different skin states have consistent evaluation basis when comparing across time or across individuals.

[0036] After calibration, the system outputs a standardized response curve that excludes the effects of individual differences and environmental disturbances, has a unified comparison basis, and derives a unified antioxidant capacity evaluation index. The index system includes four core contents, namely standard response intensity (normalized maximum response value, used to reflect the peak value of electron supply), standard reaction rate (average slope of the rising segment of the standard curve, used to describe the reaction speed), standard antioxidant index (sAOI, obtained by integrating the standard response curve, used to comprehensively express the total antioxidant efficiency), and individual calibrated efficacy score curve (a dynamic evaluation path formed by plotting the response contribution value with time as the dimension, used for long-term trend analysis and skin care product effect tracking). Embodiments

[0037] Combined with the drawings Figure 4Ms. Lin, a 40-year-old office worker, reported that her skin was exposed to air-conditioned environments all year round, and she felt that her skin color was dull and worried about skin oxidation and aging. During the test of evaluating the antioxidant efficacy on the skin surface, the operator first selected a 2 square centimeter standard test area on the inside of her right forearm, which was suitable as an in situ evaluation window for antioxidant capacity due to less sun exposure and uniform skin quality. Then the in situ reaction medium patch was tightly covered on the area, which contained a layer of nano-thin film electron acceptor material modified with stable free radical structure inside the film. The initial state of its potential was calibrated by process, with a stable output of ± 5mV, which remained unchanged without external electron input. Ms. Lin did not apply any skin care products, and directly participated in the reaction through the natural antioxidants of her skin. The reaction medium started to transfer electrons with the antioxidant molecules (mainly vitamin C and polyphenols) released from the skin surface. At 10 seconds after the start of the reaction, a significant potential rise drift occurred, and the system collected the electron acceptor interface from +100mV to +132mV. Then it slowly increased to +141mV within 30 seconds. The potential drift trend indicated that the total amount of antioxidant electrons released from Ms. Lin's skin was limited, but the reaction rate was relatively fast. The entire test process lasted 60 seconds, and the potential change curve tended to be stable at 40 seconds, fluctuating between +142mV and +144mV. The system analyzed the time axis of this potential response curve, divided it into 6 stages, each 10 seconds, and extracted the potential change rate of each stage. The first two stages had rates of 3.2mV / s and 1.1mV / s, respectively, and then gradually decreased to nearly 0.2mV / s, finally forming a complete reaction trend curve and identifying three key parameters: initial response slope (reaction onset ability), maximum response interval (antioxidant release active period), and plateau period (reaction stability). Through the built-in database comparison of 2500 skin response samples in the system, Ms. Lin's initial response rate ranked in the 68th percentile of the same age group, and the active period was 17% shorter than the average, but the stable period performed well. The system established a complete reaction mapping model based on the corresponding relationship between these potential response parameters and the electron acceptor material. In this model, the skin antioxidant behavior was characterized as an electron release feature vector, and the potential offset response of the electron acceptor material was taken as the perception surface. They formed a one-to-many dynamic correspondence structure in the mapping relationship, that is, the same antioxidant behavior produced different response curves on different receptors. The system completed parameter regression through machine learning model, and finally output Ms. Lin's antioxidant efficacy comprehensive score as 74 / 100, antioxidant rate index as 0.79 (unitized score), and response stability as 0.91. The above three items composed the standard antioxidant response fingerprint.After the test, Ms. Lin used a cream product that claimed to have strong antioxidant effect for 5 days, and then retested under the same conditions. The results showed that the potential response curve increased from +100 mV to +156 mV in the same time period, with a significant increase in response slope, especially in the 0-20 second period, where the rate increased to 5.1 mV / s, and the final system score increased to 89 / 100, indicating that the product had enhanced antioxidant effect on her skin.

[0038] To evaluate Ms. Lin's antioxidant response efficiency before and after using antioxidant products, the tester deployed a modified DPPH probe and TEMPO derivative composite coating material on her right forearm test area. The material maintained an initial interfacial potential of +100 mV ± 2 mV under standard conditions, serving as an electron acceptor system that could produce continuous potential changes when reacting with antioxidant molecules released by the skin. The entire test system collected potential change data within 60 seconds and imported the signal into a response function model for analysis. Taking Ms. Lin's first test without using antioxidant products as an example, the system recorded the potential drift data of her skin area per unit area within t=0-60 seconds in real time. The response was rapid within the first 5 seconds, with Δφ(t) rising from +100 mV to +132 mV within 0-5 seconds, and then gradually slowing down after 40 seconds, reaching a plateau. Through differential operation, the system obtained δ(t) (potential drift rate) of 5.4 mV / s within the first 15 seconds, and then decreased to <1 mV / s, while the electron release rate α(t) within the unit time was about 0.21 mA / cm 2 At this time, the nonlinear function model was substituted to calculate the response intensity: In the calculation process, to adapt to Ms. Lin's skin characteristics of 40 years old, moderately high skin metabolism, and non-chronic inflammation, the system selected the following parameter ranges for matching substitution: Λ = 10.5, which is located in the recommended range [0.85, 1.20], corresponding to moderately high skin basal metabolism; ∈ = 1.8 mV, used to avoid nonlinear jumps in calculation caused by weak signals, with a value range of [1.0, 2.5]; γ = 0.95, representing the response hysteresis degree, with a recommended value range of [0.8, 1.2], calibrated according to the double-layer structure of the acceptor membrane.

[0039] Substituting the maximum response data collected (e.g., at t=12s): α(t) = 0.21 mA / cm2, Δφ(t) = 35 mV, δ(t) = 4.6 mV / s, the system calculated: This value is an indicator of the instantaneous intensity of Ms. Lin's antioxidant response, and the system subsequently integrates Ψ(t) throughout the test window to obtain a cumulative response value of 2.37 (unit normalized) and further converts it into an antioxidant efficacy index sAOI, which is assigned a value of 74 (full score of 100). After 5 days of retesting, Ms. Lin's α(t) peak value increased to 0.32 mA / cm 2 , Δφ(t) increased to 48 mV at the same time point, and δ(t) accelerated to 7.2 mV / s. The same parameter interval is used for calculation: The system finally calculates its cumulative antioxidant response as 4.92, and the sAOI score rises to 89, with an increase of about 20.3%. In addition, by comparing the peak value change amplitude, the duration of sustained high response, and the fatigue index (i.e., the decay rate of δ(t) in the second half) of Ψ(t) in the before and after tests, the system also found that this antioxidant essence not only improved the electron supply capacity, but also significantly improved the skin response persistence.

[0040] After Ms. Lin completes the two rounds of antioxidant detection, to further evaluate the dynamic evolution characteristics of her skin antioxidant behavior and establish a stable and traceable response mapping relationship, the system continues to analyze and model the complete electronic response data generated during her test process. The system takes 60 seconds as a detection period, collects the original potential drift value and converts it into the electronic release capacity parameter Ψ(t) per unit area, forming a high time resolution electrochemical dynamic characteristic curve. Taking Ms. Lin's first test before using skin care products as an example, the system obtains 120 data points by sampling every 0.5 seconds, and the curve as a whole presents a slope structure of steep first, then slow, and then stable. The first 1-10 seconds are the rapid rising period, the Ψ(t) value rises from 0.003 to 0.047, the peak value appears at the 12th second, which is 0.053, then enters the slow decay stage, and decreases to 0.026 at the 35th second. After 40 seconds, it enters the stable fluctuation zone, and the overall amplitude fluctuates between ±0.004, and the tail of the curve converges to 0.019. The response process is divided into three sub-sections by the system: rapid response period, platform transition period, and low activity sustained period, and 9 key points (inflection points, slope turning points, platform starting points, and termination stable points, etc.) are extracted to form a skin electronic behavior feature vector group composed of points; then, the system encodes the positions, relative values, and trend changes of these feature points into a dynamic fingerprint map, and matches and compares it with the standard fingerprint map of the same gender, age group, and skin type in the database. Ms. Lin's non-intervention fingerprint map shows a faster slope in the rapid response period (belongs to the 75th percentile of the group), but the platform period is slightly shorter (belongs to the 35th percentile of the group). According to the long-term training relationship between these morphological parameters and physiological performance, the system outputs her skin antioxidant response behavior level as fast type - medium-low durability, and suggests that she should choose skin care products with high antioxidant efficiency but improved slow-release mechanism. After 5 days of retesting, the system compares her latest curve and finds that the overall response curve shape has changed significantly. The peak value of the rapid response period increases to 0.088 (originally 0.053), the duration extends from 12 seconds to 18 seconds, the stability of the platform area improves by 20%, the decay slope of the tail section becomes slower, and the final convergence value of Ψ(t) reaches 0.041. The system superimposes the two response curves and performs time domain normalization to form a double-channel comparison feature map. Through the behavior variation point identification mechanism, the system determines that this round of skin care intervention has significantly changed her antioxidant response from fast type - medium-low durability to medium speed - high durability type, which belongs to a positive evolution curve. At the same time, the system marks the key morphological change contribution node as the slope extension section between t=12-22 seconds in the mapping model, and adds the slope change data of this section to the individual user behavior portrait for future tracking algorithm optimization.

[0041] Example 2: Combined with the attached Figure 5, based on Example 1, to further quantify the difference in the behavior of her skin’s antioxidant response before and after product use, a complete test based on electrochemical response rate analysis to construct a reaction slope matrix was implemented. A flexible electrochemical response sensing system was deployed on Ms. Lin’s right forearm standard test area, which contains a micro-electrode group and a constant potential detection device, which can continuously collect the electrochemical signals of the skin surface without affecting the natural state of the skin. The signal sampling frequency was set to 2 times per second, and the total test duration was 60 seconds, so the system recorded 120 groups of potential response data, which served as the basis for the original signals of the antioxidant response. According to step S1, the system divides the entire response time period into multiple consecutive reaction micro-windows, each set to 5 seconds, corresponding to 10 sampling points, a total of 12 micro-windows, each window representing a segment of the intensity change of the skin’s antioxidant activity within that period. In step S2, the system analyzes the trend of the potential data in each window, calculates the average response rate of each window by identifying the degree, speed, and amplitude of the continuous current value rise or fall, and marks the change direction and fluctuation degree. For example, Ms. Lin’s response rate in the first window was calculated to be 3.6 units / sec, and in the second window it rose to 5.2 units / sec, reflecting that her skin responded faster at the beginning of the test, while the response rate decreased to below 1.1 units / sec between the 7th and 9th windows, indicating that the antioxidant response entered a stable or declining stage. The system combines the response rate values of the 12 windows in sequence to form a 12-dimensional reaction slope matrix, and analyzes the dynamic structure of the skin’s antioxidant response process through the overall shape, change gradient, and inflection point location of the matrix. In step S3, the system identifies that Ms. Lin’s initial response rate peak value appears in the second window, with a value of 5.2 units / sec, which belongs to the upper-middle level in the sample library, indicating that her antioxidant response is very active in the early stage; subsequently, the system identifies that the rate starts to decline in the fourth window, and the rate enters a plateau after the sixth window, with the overall slope change amplitude decreasing by more than 60%, according to the built-in model, this trend means that the release rhythm of antioxidant substances is fast but the relative duration is short, indicating that Ms. Lin’s skin has a high-acting-fast-depleting type of antioxidant behavior pattern. To verify whether the skin care product can change this behavior pattern, the system retests Ms. Lin after she has used an antioxidant serum containing glutathione and coenzyme Q10 components for 7 consecutive days, and also performs steps S1 to S3. The test finds that her second window rate increases to 7.4 units / sec, the plateau period is extended to the 10th window, and she still maintains a rate of more than 1.8 units / sec in the 11th to 12th windows. The system generates a new slope matrix from this new data and compares it with the previous data, finds that the peak response is enhanced by 42%, the plateau duration is increased by about 28 seconds, and the overall response area is expanded by nearly 35%. The final evaluation result adjusts Ms. Lin’s antioxidant capacity level from medium to high to high response-medium duration type, and recommends that she use a quick-acting enhanced antioxidant product to assist in maintaining the rhythm of electron supply.

[0042] After Ms. Lin completed the initial slope matrix modeling of the antioxidant response behavior, to further improve the sensitivity and response granularity of the evaluation, the electrochemical signal collection mechanism was upgraded, especially the introduction of constant potential and pulse potential stimulation mechanism for current signal response capture strategy to enhance the accuracy of the skin's electron release under different oxidative stress conditions. In this test, Ms. Lin underwent skin antioxidant capacity determination again, and the test area was still the standard test area on her right forearm. To ensure that the stimulation conditions are different from the previous ones, this round of test uses a constant potential + pulse double cycle mixed mode for electric stimulation signal collection. The first stage is the constant potential stage, applying +0.6V potential for 10 seconds, which is used to stabilize and start the skin antioxidant electron release reaction. The second stage is the high-frequency pulse stage, applying a frequency of 20Hz and a voltage of ±0.3V alternating pulse within 30 seconds, simulating a high-intensity free radical stimulation environment to stimulate the antioxidant system's more realistic dynamic response characteristics. During the entire test process, the system continuously collects the in-situ current signal generated by the skin surface electrode. The sampling frequency is set by the system according to the initial reaction intensity. The first 15 seconds are the high reaction section, and the system adaptively sets the reaction micro-window time span to 0.2 seconds to ensure that the fast response process is recorded with high resolution. When the response rate enters the platform area, the system adjusts the window to 0.5 seconds, and gradually extends to 1 second in the last stage to save data storage and match the real reaction speed. A total of 1,200 current data were collected in the whole test, and the system segmented these data based on the time axis to calculate the slope of the current change in each micro-window, obtaining a continuous sequence of electron release rate per unit time. For example, between t=2.4 seconds and t=2.6 seconds, the current rises from 0.22mA to 0.41mA, with a slope of 0.95mA / s, which is determined by the system as a high response section. While between t=34 seconds and t=34.5 seconds, the current only fluctuates slightly, with a slope of 0.08mA / s, indicating that the antioxidant reaction is tending to be stable. Through the whole analysis, the system constructs a set of dynamic windows with unequal lengths spanning from 0.2 to 1 second, each window corresponding to a current response rate value, forming a complete electron release behavior slope matrix. This matrix shows that Ms. Lin exhibited a continuous 9-window rate increase trend during the previous pulse stage, with the response rate slope value increasing continuously, reaching a maximum of 1.12mA / s. Subsequently, she entered the platform stage, which lasted for 11 windows, maintaining an average rate of 0.62mA / s. Finally, the response slope gradually weakened until it was lower than 0.1mA / s. Based on this test data, the system calculates her response rise speed coefficient as 17.5%, platform maintenance ratio as 41.2%, and reaction decay slope as -0.06mA / s / s. These indicators are mapped to the three key dimensions of the skin antioxidant behavior model: active start efficiency, reaction duration, and fatigue resistance. The system outputs a comprehensive score of 91.3, which is nearly 6% higher than the previous one.Ms. Lin herself feedback during the use of the product, the skin gloss and firmness significantly enhanced, the system evaluation results and the perception of a high degree of consistency.

[0043] After completing the skin antioxidant test based on the constant potential and pulse mixed stimulation mode, Ms. Lin's electrochemical response data was fully imported into the core analysis module, the reaction slope matrix construction and index inversion system. The system has collected the full range of current signal data, and according to the actual reaction speed change of the skin, the test time period is dynamically divided into unequal length reaction micro-windows, and the time span is between 0.2 seconds and 1 second. The current change rate in each window is accurately calculated by the system as the form of electron release capacity per unit time, and these rate values are arranged in time sequence to form a continuous reaction slope matrix, which contains 86 effective window points in Ms. Lin's test, showing three significant response stages. The first stage is the initial rapid activation period, corresponding to the first 10 seconds, the reaction slope increases from 0.18 mA / s to 0.96 mA / s, and the system calculates the initial speed index as 0.21 mA / s, corresponding to the immediate response ability of the skin to the initial stage of oxidation stimulation; The second stage is the peak duration period, corresponding to the 11th to 32nd second, the reaction slope fluctuates between 0.82 and 1.05 mA / s, and the system confirms that the reaction peak rate is 1.05 mA / s through curve fitting, with a duration of 21 seconds, showing the high efficiency of the skin in this stage. The third stage is the response decay period, starting from the 33rd second, the slope starts to decrease continuously to 0.07 mA / s at the end of the test, and the system calculates the response fatigue index as -0.034 mA / s / s by fitting the slope change rate of the tail window, indicating that the skin antioxidant activity gradually weakens after 30 seconds but still maintains a certain basic activity. In addition, to evaluate the overall response persistence performance, the system counts the number of windows with a slope higher than 0.5 mA / s during the entire test period, a total of 29 windows, accounting for 33.7%, and accordingly deduces the sustained response ability score as 78 points (full score 100), which is at a good level. After integrating these key antioxidant indicators, the system outputs Ms. Lin's standardized skin antioxidant score report, with an initial speed of the antioxidant being high, a peak rate in the top 20% of the same age group, a response fatigue index being medium to low, representing that her skin slightly decays after experiencing high-intensity electron release, but the sustained response ability is better than the average level, with an overall score of 89.5. Ms. Lin feedback that the skin feeling improved after using the antioxidant serum for 7 days, and the score increased by nearly 15% compared with the initial test, and the system generates her pre and post slope matrix comparison map and dynamic response radar chart, and clearly marks that the improvement of her skin state mainly comes from the increase of peak rate and the extension of duration.

[0044] Example 3: In combination with the attached Figure 6, based on embodiment 2, after Ms. Lin completed multiple rounds of skin antioxidant response tests, in order to ensure that the results between each test have high comparability, while excluding response signal deviation caused by skin quality, physiological state or environmental changes, a standardized antioxidant response value construction method was introduced to achieve objective comparison of antioxidant capacity under different time, individual or external conditions. During the test, the system performed the standard in-situ electrochemical response detection process, deployed a modified microelectrode array on the test area of Ms. Lin's right forearm, and continuously collected the original potential response curve triggered by the skin releasing electrons within a 60-second period. The system obtained a total of 1,200 data points, the preliminary curve showed that the current peak value appeared at the 18th second, with a maximum value of 0.94 mA, and the current decreased to 0.17 mA at the end of the test. At the same time of collecting electrochemical data, the system synchronously started the environmental-physiological parameter module to obtain the basic physiological state of the skin in the test area of Ms. Lin, including real-time conductivity of 237 μS / cm, skin surface temperature of 32.8℃, capacitance value of 174 nF, water-oil balance value of 63 / 37, electrical impedance of 1.6 kΩ, and initial electrode drift potential of +14 mV. The system packaged the above six parameters into a skin state vector and compared it with the corresponding standard skin quality model in the database to confirm that the current state was a moderately active skin with dryness. The system generated a set of normalization factors to normalize and calibrate the original response curve. In this test, the system identified that the original response signal was about 12% lower, the response starting point was shifted by +0.09 mA, and the end drift amplitude was too small to be beneficial for continuous judgment, so the curve was subjected to standard correction operations such as response intensity amplification, starting point downshift and end compensation. The adjusted standardized response curve tended to be smooth in overall shape, with a maximum peak value of 1.06 mA, a response starting point of 0.03 mA, and a final stable value of 0.21 mA. The overall area of the curve increased by about 16.8%. On this basis, the system further calculated the unified antioxidant capacity evaluation indicators, including the standard antioxidant response index (sAOI), stability factor (SI) and reaction balance score (REI). Ms. Lin's sAOI in this test was 87.5 (full score 100), SI value was 0.76, and REI was 0.84. The system judged that her antioxidant behavior was stable and the reaction capacity was good, and speculated that the state had reached the plateau period after skin intervention. At the same time, the system took this standardized curve as the antioxidant reference curve in the user's profile for subsequent comparison and individual tracking. In the subsequent two retests, although the peak value of the original response curve was lowered to 0.88 mA due to the increase of room temperature by 2℃ and insufficient hydration before the test, the normalization model generated by the skin state vector corrected the influence of these variables, and the standard curve finally maintained a high consistency with the previous round in terms of mode and value. The system confirmed that the test consistency was greater than 93%.

[0045] After Ms. Lin completed several skin antioxidant response tests and gradually established an individual standard response curve profile, to further improve the system's stability and consistency of antioxidant data under different test environments, a non-invasive skin surface micro-sensor integrated device was used to collect real-time multi-dimensional parameters of skin physiological status, and a skin status vector was generated to reverse the normalization factor for curve calibration. The current test was set in the morning state, with low environmental temperature and slightly dry humidity. The system first started three types of micro-sensors integrated in the attached interface, including conductivity probe, capacitance sensor, and infrared temperature module, to read real-time data from the skin of the test area on Ms. Lin's right forearm. Two seconds before signal acquisition was completed, the system quickly completed the initial measurement of skin conductivity, with a reading of 188 μS / cm, indicating that the skin surface electrolyte activity was lower than the average of the previous three times (about 210 μS / cm); then the capacitance sensor measured the skin capacitance as 162 nF, which was slightly lower than the reference value under normal moisturizing conditions (178-185 nF), and the infrared temperature module measured the skin surface temperature as 30.2℃, which was significantly lower than the previous standard temperature of 32.5℃. At the same time, the system also calculated the initial potential drift as +11 mV, indicating that the current skin was in a state of slight charge retention without stimulation. The system constructed a skin status vector for the current test based on the six real-time collected data (conductivity, capacitance value, temperature, water-oil ratio, resistance, and initial drift potential), and compared it with the historical average state vector. It was found that the current state was dry, with insufficient conductivity and a high risk of response delay. Then the system started the normalization factor deduction module, generated a dedicated normalization factor group based on the empirical mapping relationship between each state dimension and the key features of the response curve (such as initial current, maximum peak, and platform stability), for example: due to low conductivity, the system increased the electronic response gain correction coefficient; due to low temperature, the initial response delay was compensated; due to high initial drift, the zero point offset position was corrected. Finally, a five-dimensional normalization factor structure was generated, including three main adjustment parameters and two fine-tuning parameters. The system applied this factor group to the original electrochemical response curve collected in the current test of Ms. Lin. In the untreated curve, the initial response was 0.04 mA, the maximum response was 0.86 mA, and the overall response area was slightly lower than the standard reference curve. After normalization, the initial current was adjusted to 0.06 mA, the maximum response peak was returned to 0.95 mA, which was consistent with the average of the previous three peaks (0.93 mA), the response platform period was extended by about 4 seconds through the tail stability enhancement function, the overall trend of the curve was restored smoothly, the rising and decaying slopes were recalibrated, and the final output of the standardized antioxidant index was 88.3 points, which was only 0.7 points lower than the previous platform state. The system determined that the current test performance was functional state maintenance with slight response fluctuations.Ms. Lin was very surprised because she did not perform skin care before the test, and she felt that her skin was dry, but the system still output the same high score and fingerprint map as before, indicating that the mechanism of collecting skin status through real-time micro sensors and generating normalized factors in reverse has strong environmental adaptability and individual stability, can effectively shield the interference of non-skin care factors on the results, and ensure the comparability of antioxidant efficacy evaluation across time and state.

[0046] In the process of Ms. Lin's continuous evaluation of skin antioxidant capacity, in order to realize the objective comparison and scientific tracking between multiple rounds of detection results, based on the normalized standardization data after response normalization, a unified antioxidant capacity evaluation index system is further generated, which is composed of four core indexes: standard response intensity, standard reaction rate, standard antioxidant index (sAOI) and individual calibrated efficacy score curve. This set of indicators not only accurately expresses the instant efficacy of antioxidant behavior, but also quantifies the sustainability and behavior stability, becoming the basic data framework for skin care product effectiveness verification and individual skin function trend prediction. In this round of test, Ms. Lin continues to use the same glutathione antioxidant essence as before, the environmental temperature on the test day is 28.5°C, the indoor humidity is 62%, the system as described before collects in-situ electrochemical response curve through attached flexible micro-sensing electrode, generates normalization factor combined with skin state vector, and calibrates the original response curve. The normalized response curve shows that its maximum current response value reaches 0.98 mA, and the standard response intensity index value defined by the system is 0.96 (normalized range 0-1), which is about 4% higher than the last test, indicating that the antioxidant activity release intensity is enhanced; the system simultaneously identifies that its rising slope maintains between 0.08-0.12 mA / s between the 5th second and the 14th second, and calculates the standard reaction rate as 0.103 mA / s, which belongs to the front 25 percentile of the corresponding section of the high response stability interval in the system database. Next, the system performs area integral analysis on the entire standard curve, calculates the standard antioxidant index sAOI as 91.2 (full score 100) combined with the reaction duration and peak duration amplitude, which is significantly improved compared with her initial test sAOI 74.8, indicating that her skin antioxidant function has entered a higher stable period. The system further inverses the sAOI combined with the user's individual calibration curve model to construct the efficacy score curve of this round, which shows that its response curve presents a steady rising-high plateau-slow decay pattern, which matches the typical antioxidant strengthening response mode. The efficacy score curve rapidly rises at t=0-12 seconds, forms a stable platform at t=12-34 seconds, and gradually converges after t=35 seconds, the system outputs the peak response score as 95, the platform persistence score as 91, and the tail stability score as 84, and finally synthesizes the individual calibrated total score as 90.4, which is significantly higher than the first round score of 76.3. In order to test the consistency and practicality of the model, the system also superimposes and compares Ms. Lin's multiple test score curves, finds that her score trajectory steadily rises after continuous use of antioxidant essence, the slope consistency reaches 92%, and the fluctuation amplitude is controlled within ±3 points, the system suggests that she can consider entering a maintenance type antioxidant period and reduce the high frequency of use.

[0047] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above-mentioned embodiments, and the above-mentioned embodiments and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A method for real-time quantitative evaluation of antioxidant efficacy on skin surface, characterized in that The method comprises the following steps: applying a reaction medium with a standard potential window to the skin surface; indirectly reflecting the reducing capacity of skin antioxidant molecules through real-time potential drift of electron concentration change in the reaction process; constructing a surface electron acceptor reaction relationship framework with skin as the reaction subject; deploying a modified electrode array on the skin surface; each pair of electrode sites responds to the corresponding ROS species; collecting the instantaneous response current-time curve and generating a characteristic curve combination atlas; establishing an antioxidant response electrochemical space fingerprint through the atlas morphology and response gradient; dividing the electrochemical response signal into multiple reaction micro-windows; calculating the response rate in each time period to obtain a reaction slope matrix; detecting the basic conductivity, moisture capacitance and micro-temperature changes of the skin surface by a non-invasive skin surface micro-sensor to establish a skin state vector; using the skin state vector for numerical normalization and response range calibration of the response curve to output a unified normalized antioxidant response value.

2. The method for real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 1, characterized in that The method for constructing a surface electron acceptor reaction relationship framework with skin as the reaction subject comprises: setting a detection area on the measured skin surface, constructing an in-situ reaction medium system containing an electron acceptor probe, and making the skin directly participate in the reaction process as an antioxidant electron donor; deploying an electron acceptor material with a stable potential initial state in the reaction medium, and the electron acceptor material reacts with the antioxidant molecules on the skin surface through electron transfer; real-time monitoring the potential drift caused by the change of electron concentration in the reaction medium system, and taking it as an indirect reflection signal of the electron releasing capacity of the skin; time axis analysis of the potential drift response process obtains the reaction trend, initial response rate and stable state index of the antioxidant behavior on the skin surface; and constructing a response mapping relationship between the antioxidant behavior of the skin and the electron accepting system according to the potential response characteristics.

3. The method for real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 2, characterized in that The electron acceptor material is a free radical probe or a modified electrode material, which is used to simulate oxidative stress and exchange electrons with antioxidant components in the skin; the potential drift is the interface potential change caused by the reduction of free radicals by antioxidant molecules in the skin, and the drift amplitude and rate are used to quantitatively evaluate the antioxidant capacity.

4. The method for real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 3, characterized in that The response mapping relationship forms an electrochemical dynamic characteristic curve by continuously recording the electron releasing behavior of the skin, and the relationship between the curve morphology and the antioxidant activity of the skin corresponds.

5. The method of real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 1, characterized in that The step of calculating the response rate in each time period to obtain a reaction slope matrix comprises: S1, deploying an electrochemical response sensing system on the measured skin surface, and collecting the original electrochemical response signal generated in the antioxidant reaction process; dividing the electrochemical response signal into multiple continuous reaction micro-windows in chronological order, and each micro-window corresponds to a single fixed time period; S2, performing rate analysis on the electrochemical signal data in each reaction micro-window to obtain the response change trend in the time period; combining the response rates of the reaction micro-windows in chronological order to form a reaction slope matrix, which is used to dynamically characterize the whole process of the antioxidant reaction of the skin; S3, analyzing the initial reaction rate, peak stage, duration and decay characteristics of the antioxidant reaction according to the reaction slope matrix, and quantitatively evaluating the antioxidant capacity of the skin.

6. The method for real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 5, characterized in that The electrochemical response signal includes a current signal collected under constant potential or pulse stimulation conditions, and the response rate is the slope of the change of current over time; the time span of the reaction micro-window is between 0.1 seconds and 1 second, and is adaptively adjusted according to the skin response speed.

7. The method for real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 6, characterized in that The reaction slope matrix reflects the change of the ability of the skin to release electrons at different time points, and is used to analyze the dynamic trend, volatility and stage characteristics of the skin antioxidant capacity; the skin antioxidant index is calculated based on the reaction slope matrix, including the antioxidant initial speed, the reaction peak rate, the response fatigue index and the continuous response ability score.

8. The method of real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 1, characterized in that The output unified standardized antioxidant response value construction method comprises: In-situ electrochemical response detection is performed on the measured skin area to obtain an original antioxidant reaction signal curve; a plurality of physiological parameters of the detection area are synchronously collected to represent the current state of the skin, including conductivity, skin surface temperature, capacitance, water-oil balance value, electrical impedance and initial drift potential; The physiological parameters are constructed into a skin individual state vector to reflect the basic response characteristics of the skin at the test time point; according to the skin state vector, a response normalization factor is generated to calibrate the original electrochemical response curve in terms of response intensity, starting level and reaction range; an antioxidant response standardized curve after calibration is output, and a unified antioxidant capacity evaluation index is generated.

9. The method for real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 8, characterized in that The non-invasive skin surface micro sensor comprises a conductivity probe, a capacitance sensor and an infrared temperature module; the normalization factor is generated based on the mapping relationship between each parameter in the skin state vector and the response curve characteristics.

10. The method for real-time quantitative evaluation of antioxidant efficacy on skin surface according to claim 9, characterized in that The unified antioxidant capacity evaluation index comprises a standard response intensity, a standard reaction rate, a standard antioxidant index and an individual calibrated efficacy score curve.

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