Directional detection method for cosmetic ultraviolet light absorber

Abstract

The invention provides a directional detection method of a cosmetic ultraviolet light absorber, and relates to the technical field of component detection, a baseline database is established, a sunlight simulator is controlled, a sample photodegradation test and continuous detection combined with a biosensor array are carried out, and dynamic sensing information is determined. And carrying out dynamic absorption trend analysis under a time phase and synergistic analysis based on a light protective agent, determining a detection curve and generating a directional detection list, so as to solve the problems that the detection of the ultraviolet light absorber in the prior art is one-sided and isolated, the dynamic detection requirement in a complex environment cannot be met, and the detection efficiency is low. And the detection accuracy and completeness are insufficient. The sunlight simulator is controlled to be combined with a biosensor of a nano material to perform periodic microscopic change capture, and full-dimensional analysis is performed from whether a light protective agent exists or not, so that dynamic and comprehensive accurate detection in a full period is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of component detection, and in particular to a directional detection method for a cosmetic ultraviolet absorber. Background Art

[0002] UV absorbers added to cosmetics are mainly used to protect the skin from harmful ultraviolet (UV) radiation. As the demand for sunscreen products increases, the market's accurate evaluation of the performance of UV absorbers has become increasingly important. Traditional detection methods usually rely on a single optical or chemical analysis, which makes it difficult to simultaneously evaluate the absorber's stability under different conditions, its photodegradation process, and its synergistic effect with other ingredients (such as photoprotectants). The synergistic effect of UV absorbers and photoprotectants is crucial to the sunscreen effect, and the inability to accurately evaluate this relationship will affect the ultimate protective performance of cosmetics. In recent years, the development of biosensor technology and nanomaterials has provided new ideas for improving the accuracy and efficiency of detection, especially in dynamic and multidimensional environments.

[0003] Existing detection technologies are difficult to effectively capture the multi-dimensional dynamic performance of UV absorbers in practical applications, especially the inability to accurately evaluate the interaction between absorbers and photoprotectants during photodegradation. In addition, the detection methods for particulate interference in the environment and the failure state of absorbers are still imperfect, which affects the reliability of the test results. Therefore, there is an urgent need for a method that can directionally detect the absorption trend of UV absorbers and their synergistic effects in complex environments.

[0004] In summary, the existing technology still has the technical problem that the detection of ultraviolet absorbers is relatively one-sided and isolated, and cannot meet the dynamic detection needs in complex environments, resulting in insufficient detection accuracy and completeness. Summary of the invention

[0005] The present application provides a directional detection method for cosmetic ultraviolet absorbers, which is used to solve the technical problems in the prior art that the detection of ultraviolet absorbers is relatively one-sided and isolated, and cannot meet the dynamic detection needs in complex environments, resulting in insufficient detection accuracy and completeness.

[0006] In view of the above problems, the present application provides a directional detection method for cosmetic ultraviolet absorbers.

[0007] The present application provides a method for directional detection of cosmetic ultraviolet absorbers, the method comprising: From the composition and process, the ratio relationship function of ultraviolet absorber and photoprotectant is excavated to establish a baseline database; the sunlight simulator is controlled to conduct sample photodegradation test and continuous detection in combination with the biosensor array to determine the dynamic sensing information, wherein the biosensor performs directional detection based on the biological recognition element combined with nanomaterials; based on the baseline database, a directional detection module is constructed, wherein the directional detection module includes a directional detection unit and a synergistic detection unit; the dynamic sensing information is received, and in combination with the directional detection module, a dynamic absorption trend analysis under the phase and a synergistic analysis based on the photoprotectant are performed to determine the detection curve, which is a three-in-one curve based on directional detection, synergistic detection and absorbent isolated detection; the detection curve is identified, a directional detection list is generated, and the terminal display interface is visualized.

[0008] Furthermore, before controlling the sunlight simulator, the method includes: determining the wavelength range of sunlight ultraviolet light; A test cycle is set to determine a periodic wavelength curve based on the periodic fluctuation of the sunlight ultraviolet wavelength range; the periodic wavelength curve is used as a control factor of the sunlight simulator; the environmental stability factor of the biosensor is determined, and collision analysis and balancing processing are performed with the simulation control factor to determine the constraint conditions of the simulation control.

[0009] Furthermore, before conducting the sample photodegradation test, the method includes: evaluating interfering substances based on the ingredients and process of the target cosmetics, wherein the interfering substances are microparticles with a similar structure to the target molecules; if interfering substances exist, introducing a tracking medium to assist the tracking medium in dynamic tracking and directional sensing.

[0010] Furthermore, the receiving of the dynamic sensing information includes: determining a sensing acquisition standard based on a specific reaction based on a biometric recognition element, wherein the sensing acquisition standard is a preset reaction variable based on a time dimension or a space dimension; if the sensing acquisition standard is met, generating a sensing feedback instruction; based on the sensing feedback instruction, transmitting the collected dynamic sensing information back to the directional detection module, wherein the dynamic sensing information is marked with a test cycle node.

[0011] Furthermore, the determination of the detection curve includes: combining with the directional detection unit, performing absorption trend analysis under the time phase to determine the directional detection curve; transferring the directional detection curve to the synergistic detection unit, combining with the ratio relationship function, performing synergistic analysis to determine the synergistic detection curve; differentially measuring the directional detection curve and the synergistic detection curve to determine a single absorption curve; integrating the directional detection curve, the synergistic detection curve and the single absorption curve as the detection curve, wherein the detection curve uses the test period as the time dimension and the particle distribution as the space dimension.

[0012] Furthermore, it also includes: identifying the dynamic sensing information, determining the directional detection result of the first time phase node, wherein the analysis dimension at least includes the specific reaction state, reaction intensity and distribution diffusion penetration; determining the self-attenuation index of the photoprotectant; combining the self-attenuation index with the matching relationship function, performing the synergistic analysis under the first time phase node, and determining the synergistic detection result.

[0013] Furthermore, after the continuous detection of the combined biosensor array, it includes: establishing a synchronization timestamp constraint of the biosensor array; based on the sensor feedback instruction, triggering the biosensor array to perform feedback management of the dynamic sensor information.

[0014] Furthermore, after generating the directional detection form, it also includes: identifying the light simulation parameters and the directional detection form, evaluating the environmental activity and failure factor of the microparticles in the ultraviolet absorber, and the failure factor is determined based on the abnormal absorption attenuation state; combining with the daylight simulator, testing and verifying the environmental activity and the failure factor.

[0015] One or more technical solutions provided in this application have at least the following technical effects or advantages: The embodiment of the present application provides a method for directional detection of cosmetic ultraviolet absorbers. From the ingredients and processes, the ratio relationship function of ultraviolet absorbers and photoprotective agents is excavated to establish a baseline database; the sunlight simulator is controlled to conduct sample photodegradation tests and continuous detection in combination with a biosensor array to determine dynamic sensing information, and a directional detection module is constructed based on the baseline database, including a directional detection unit and a synergistic detection unit; the dynamic sensing information is received, and dynamic absorption trend analysis under the time phase and synergistic analysis based on photoprotective agents are performed to determine the detection curve and generate a directional detection order, and the terminal display interface is visualized. It is used to solve the technical problem that the detection of ultraviolet absorbers in the prior art is relatively one-sided and isolated, and cannot meet the dynamic detection requirements in complex environments, resulting in insufficient detection accuracy and completeness. By controlling the sunlight simulator, the biosensor combined with nanomaterials is used to capture periodic microscopic changes, and a full-dimensional analysis is performed from the presence or absence of photoprotective agents, so as to achieve dynamic and comprehensive accurate detection in the whole cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic flow chart of a method for directional detection of ultraviolet absorbers in cosmetics is provided for this application; Figure 2 The present application provides a schematic diagram of the process of obtaining a detection curve in a directional detection method for a cosmetic ultraviolet absorber. DETAILED DESCRIPTION

[0017] The present application provides a directional detection method for cosmetic ultraviolet absorbers, establishes a baseline database, controls a daylight simulator, conducts sample photodegradation tests and continuous detection in combination with a biosensor array, determines dynamic sensing information, conducts dynamic absorption trend analysis under time phase and synergistic analysis based on photoprotectants, determines detection curves and generates directional detection orders, so as to solve the technical problems in the prior art that the detection of ultraviolet absorbers is relatively one-sided and isolated, cannot meet the dynamic detection needs in complex environments, and leads to insufficient detection accuracy and completeness.

[0018] Example: Figure 1 As shown, the present application provides a directional detection method for cosmetic ultraviolet absorbers, the method comprising: S1: From the perspective of ingredients and processes, explore the relationship function between the ratio of UV absorbers and photoprotectants and establish a baseline database; In the examples of the present application, starting from the ingredients and processes, which are the main aspects affecting the ultraviolet absorption energy efficiency, the ratio relationship function of ultraviolet absorbers and photoprotectants is explored and a baseline database is established. By deeply analyzing the synergistic effect between ultraviolet absorbers (such as titanium dioxide, zinc oxide) and photoprotectants (such as antioxidants, free radical scavengers, etc.) in cosmetic formulas, a solid foundation is laid for the subsequent analysis of ultraviolet absorption energy efficiency.

[0019] Generally speaking, cosmetics will add a certain proportion of photoprotectants. Photoprotectants can enhance the effectiveness of UV absorbers, such as slowing down the photodegradation rate of UV absorbers. Tests are conducted on the synergistic energy efficiency of the two, the synergy of photoprotectants and the absorption energy efficiency of UV absorbers themselves to ensure the integrity and accuracy of the test results.

[0020] Among them, the ratio relationship function refers to the relative energy efficiency relationship between different types of ultraviolet absorbers and photoprotective agents at different concentrations or ratios. Through the analysis of ingredients and processes, relationship mining can be carried out in experimental data. For example, this ratio should not only consider the absorbent's ability to absorb ultraviolet rays (UV-A, UV-B), but also comprehensively consider factors such as the stability of the photoprotective agent on the absorbent, the photodegradation inhibition effect, and skin tolerance.

[0021] The baseline database is a database that stores multi-component types, ratio characteristics and ratio relationship function mappings, covering UV absorption effects and light stability under different formulas and ratios. Through the continuous improvement of the database, it provides accurate reference data for subsequent directional detection to ensure detection accuracy and reliability.

[0022] S2: Controlling the sunlight simulator to conduct sample photodegradation test and continuous detection in combination with the biosensor array to determine dynamic sensing information, wherein the biosensor performs directional detection based on the biorecognition element combined with the nanomaterial; Among them, based on the sunlight simulator, the performance of ultraviolet absorbers under natural conditions is simulated, and the photodegradation test of samples is carried out in combination with continuous detection of the biosensor array. The sunlight simulator is a device that can emit a spectrum similar to natural sunlight, especially the UV-A and UV-B bands. By precisely controlling the light intensity, wavelength and exposure time, the photodegradation test of cosmetic samples is carried out. The photodegradation test is the process in which the ultraviolet absorber in the sample gradually decomposes under light conditions, which is crucial for evaluating the stability of the ultraviolet absorber.

[0023] Among them, a biosensor is a device that can detect chemical, physical or biological signals. It generates a measurable signal by reacting specifically with target molecules (such as ultraviolet absorber particles, their degradation products, etc.). In the specific detection process, one or more target molecules can be determined autonomously. In the embodiment of the present application, a biorecognition element enhanced by nanomaterials is used. These nanomaterials have extremely high surface area and sensitivity, which can significantly improve the detection accuracy of the biosensor. This allows the sensor to not only capture extremely low concentrations of degradation products, but also enhance the response speed of the detection process.

[0024] In terms of technical support, the sunlight simulator simulates ultraviolet rays in the natural environment through precise spectral control, while the combination of nanomaterials and biosensors not only improves the sensing sensitivity, but also enables rapid and real-time detection, making the entire photodegradation test process more efficient and accurate.

[0025] Considering the impact of external interference on the stability of biosensors and the detection errors caused by equipment abnormalities, in order to improve the detection accuracy, the multi-sensor array is configured to perform synchronous detection in an array distribution manner, and the detection results are mutually verified to avoid abnormal detection stages. Combined with the mechanism of continuous detection, the biosensor array can monitor the dynamic changes of the absorbent under light conditions in real time, and reflect the light stability and degradation rate of the ultraviolet absorber through dynamic sensing information. Through this detection method, dynamic sensing information can be obtained, that is, the dynamic absorption energy efficiency under the full absorption cycle can be determined, such as the degradation trend of the absorbent and the concentration change data of the degradation product over time during the photodegradation process. Dynamic sensing information can intuitively reflect the performance of UV absorbers under different lighting conditions, especially the changes when exposed to UV radiation for a long time. This provides reliable data support for subsequent directional analysis and ensures the scientificity and accuracy of the test results.

[0026] Among them, before controlling the sunlight simulator, it includes: determining the sunlight ultraviolet wavelength range; setting a test cycle to determine a periodic wavelength curve based on the periodic fluctuation of the sunlight ultraviolet wavelength range; using the periodic wavelength curve as a control factor of the sunlight simulator; determining the environmental stability factor of the biosensor, performing collision analysis and balancing processing with the simulation control factor, and determining the constraint conditions of the simulation control.

[0027] First, determine the wavelength range of sunlight UV, aiming to simulate the ultraviolet (UV) band in natural sunlight that affects the skin. Among them, the ultraviolet rays in sunlight are mainly divided into three categories: UV-A (320-400 nm), UV-B (280-320 nm) and UV-C (100-280 nm). Since UV-C is absorbed by the earth's atmosphere, it is UV-A and UV-B that mainly affect the skin. Therefore, in the photodegradation test of cosmetic sunscreens, the wavelength range of these two bands is mainly concerned. Different ultraviolet wavelengths have different degradation effects on UV absorbers and skin protection effects.

[0028] The test cycle is set to simulate the sunlight exposure pattern in the real environment according to the periodic changes of light. The UV intensity and wavelength of sunlight will change within a day, so the setting of the test cycle should be as close to the actual situation as possible, for example, the wavelength trend in the period of 1-4 noon. Periodic fluctuation refers to the change of UV intensity at different time periods. This periodic fluctuation can be represented by a mathematical function, such as a linear change relationship over time, to generate a periodic wavelength curve, which reflects the changes in UV intensity and wavelength range at different time points.

[0029] The cyclic wavelength curve is used as a control factor of the sunlight simulator to ensure that the lighting environment simulated during the test is consistent with the UV fluctuations in natural sunlight. The sunlight simulator adjusts its light output according to the set wavelength curve to simulate the changes in UV throughout the day.

[0030] Since the environmental factors in the specific test process, including the control of environmental parameters such as temperature, humidity, and light intensity, may affect the stability of the biosensor, in order to ensure that the biosensor array can maintain stable operation under different environmental conditions, the environmental stability factors of the biosensor and the light control factors of the daylight simulator are subjected to collision analysis and balanced processing to ensure that the two can work together under different conditions.

[0031] Since the sunlight simulator will produce different intensities of light, this may affect the working state of the biosensor. Therefore, through balancing, adjusting and optimizing the sensor working conditions, it is ensured that data can still be accurately collected during light fluctuations to determine the constraints that balance the two, that is, the constraints of each variable during the test process. For example, light intensity, temperature, humidity, etc. must be kept stable within a certain range to ensure the reliability of the experimental results. Through these constraints, the interference of external factors on the test results can be reduced, making the photodegradation test more accurate.

[0032] Before the sample photodegradation test is conducted, the following steps are performed: based on the ingredients and process of the target cosmetics, interfering substances are evaluated, wherein the interfering substances are microparticles with a similar structure to the target molecules; if interfering substances exist, a tracking medium is introduced to assist the tracking medium in dynamic tracking and directional sensing.

[0033] Specifically, in the directional detection process of cosmetic UV absorbers, cosmetic formulas usually contain multiple ingredients. For some ingredients with similar particle structures to UV absorbers, these ingredients may interact with UV absorbers during the test process, affecting their photodegradation behavior or test results. The interfering substances refer to those microparticles or ingredients with similar molecular structures to UV absorbers, which may produce similar response signals during the detection process and interfere with the precise analysis of UV absorbers. Such interfering substances may be other active ingredients in cosmetics, auxiliary materials such as thickeners and emulsifiers, or microparticles in the external environment.

[0034] Through ingredient and process evaluation, these possible interfering substances are identified in cosmetic formulas. Through detailed analysis of the ingredients of cosmetics, the chemical structure and physical properties of each component are understood, and substances with similar molecular structures to UV absorbers are identified. For example, some ingredients with aromatic rings may react with UV absorbers in a similar wavelength range to absorb light, thereby affecting the accuracy of photodegradation testing.

[0035] In an embodiment of the present application, a tracking medium is introduced to detect and distinguish the interfering substances from the ultraviolet absorber. Specifically, when these interfering substances are found, the system will introduce a tracking medium. The tracking medium is a marker or molecule that can specifically bind to the target ultraviolet absorber, which can help distinguish the target absorber from the interfering substances. The tracking medium is usually highly specific and can react with the specific molecular structure part of the ultraviolet absorber to form a recognizable signal for dynamic tracking. In the test, the tracking medium can distinguish the signal of the target absorber from the signals of other interfering substances through specific reactions to avoid the presence of interfering substances affecting the test results.

[0036] Since interfering substances may cause nonspecific signals, the introduction of tracking media can ensure the accuracy of detection, filter out misleading signals generated by interfering substances, and make the sensor respond only to the photodegradation reaction of the target absorber. In summary, the detection system can effectively deal with the uncertainty caused by interfering substances in cosmetic formulas and ensure that the photodegradation behavior of UV absorbers in complex cosmetic matrices can be accurately monitored.

[0037] S3: constructing a directional detection module based on the baseline database, wherein the directional detection module includes a directional detection unit and an enhanced detection unit; Specifically, the baseline database includes data on the ratio of different UV absorbers to photoprotectants, the photodegradation behavior of absorbers, photostability at different wavelengths, etc. Based on these data, the accuracy of the constructed detection module is ensured to achieve dynamic and accurate monitoring of UV absorbers.

[0038] The directional detection module includes a directional detection unit and a synergistic detection unit. The two units work together to comprehensively detect the behavior of the absorbent under different conditions from the synergistic effect of the ultraviolet absorbent and the photoprotective agent, the synergistic effect of the photoprotective agent, and the absorption effect of the ultraviolet absorbent.

[0039] Specifically, the directional detection unit is used to analyze real-time detection data, that is, real-time detection data under the synergistic effect of photoprotective agents. The absorption and photodegradation of the captured absorbent at a specific wavelength are filtered out, and other non-related signals are analyzed and monitored in real time for the stability changes, degradation process and absorption trend of the ultraviolet absorber under light. With the support of the baseline database, it can automatically determine whether the performance of the absorbent meets expectations and output directional detection results.

[0040] The synergistic detection unit is used to analyze the synergistic effect of the photoprotective agent, mainly based on the ratio relationship function. The role of the photoprotective agent is to delay or inhibit the photodegradation of the ultraviolet absorber, enhance its light stability, monitor and analyze the performance changes of the absorber after using the photoprotective agent in real time, and evaluate the synergistic effect.

[0041] By further comparing the data of the directional detection unit and the synergistic detection unit, the absorption effect of the ultraviolet absorber itself can be determined.

[0042] The following is a feasible construction method of the directional detection module, specifically: using parallel unit connection as the module architecture, using the baseline database as the benchmark, taking supervised training of sample data as the method, and using convergence conditions, such as preset output accuracy as constraints, to train the directional detection module, wherein the parallel directional detection unit and the enhanced detection unit have a lateral interaction channel for data interaction between units.

[0043] Through the construction of directional detection modules, the system can provide three aspects of objective detection capabilities: directional detection of the synergistic performance of UV absorbers and photoprotectants, evaluation of the synergistic effect of photoprotectants, and determination of the independent performance of UV absorbers.

[0044] S4: receiving the dynamic sensing information, combining with the directional detection module, performing dynamic absorption trend analysis under time phase and synergistic analysis based on the photoprotectant, and determining a detection curve, wherein the detection curve is a three-in-one curve based on directional detection, synergistic detection and absorbent isolated detection; S5: Identify the detection curve, generate a directional detection list, and visualize the terminal display interface.

[0045] Specifically, the dynamic sensing information is the real-time feedback data of the sensor array, which can capture the response of the absorbent at different wavelengths and time points and provide comprehensive time series data. Among them, the biosensors work together to determine the multi-line dynamic sensing information and perform mutual verification, that is, determine the difference in the feedback information of each biosensor and determine the accuracy of the information. If the data difference of the multi-line dynamic sensing information meets a certain relative fluctuation difference, the data is determined to be normal, and the data mean is used as the final detection data; if the data difference is greater than the relative fluctuation difference, the abnormal data, that is, the sensing information greater than the relative fluctuation difference, is eliminated, and the feedback data of the remaining biosensors is averaged as the final detection data.

[0046] The biosensor array continuously monitors and feedbacks, receives dynamic sensing information, and reflects the optical response of the ultraviolet absorber over time. The dynamic sensing information is transmitted to the directional detection module, and the absorption capacity of the ultraviolet absorber and the light protectant under the synergistic effect is analyzed based on the directional detection unit. The analysis results are transmitted to the synergistic detection unit based on the lateral interaction channel, and the synergistic effect of the light protectant is evaluated in combination with the ratio relationship function, and then the difference analysis of the dual unit output is performed to determine the independent absorption effect of the ultraviolet absorber.

[0047] With continuous detection and data feedback, the detection results are analyzed and distributed in time phases to generate detection curves in time phases, namely, the dynamic absorption trend when the absorbent is used independently; the dynamic absorption trend when the absorbent and the photoprotectant are used together; the synergistic trend of the photoprotectant. Based on the same coordinate system, the three curves are integrated, that is, the comprehensive performance of the above analysis results, integrating the three parts of the directional detection curve, the synergistic detection curve and the absorbent isolated detection curve to form a trinity curve.

[0048] The Trinity Curve fully reflects the dynamic photostability of UV absorbers over their entire life cycle, especially comparing the absorption efficiency and photodegradation rate with and without photoprotectants. This multi-dimensional analysis provides a comprehensive and accurate performance assessment.

[0049] Identifying the test curve means that the system further analyzes the generated trinity curve, determines the various performance indicators of the absorbent, and generates a targeted test sheet, which is a detailed result report containing information such as the dynamic absorption trend of the absorbent, synergistic effect analysis, and formula adjustment suggestions.

[0050] Furthermore, the visualization interface can clearly display the dynamic performance of the absorbent under different conditions in the form of charts, curves, numerical indicators, etc. For example, users can view the photodegradation rate of the absorbent, the synergistic effect of the absorbent and the photoprotective agent, etc. through the timeline. In this way, the test results can be quickly understood, and the formula can be adjusted or the ratio of the absorbent to the photoprotective agent can be optimized based on these data.

[0051] Through the above analysis and testing process, the system can not only accurately measure the performance of UV absorbers in cosmetics under different lighting conditions, but also provide synergistic analysis and ratio optimization suggestions, providing technical support for the sun protection effect and light stability of cosmetics.

[0052] Wherein, the receiving of the dynamic sensing information includes: determining a sensing acquisition standard based on a specific reaction based on a biometric recognition element, wherein the sensing acquisition standard is a preset reaction variable based on a time dimension or a space dimension; if the sensing acquisition standard is met, generating a sensing feedback instruction; based on the sensing feedback instruction, transmitting the collected dynamic sensing information back to the directional detection module, wherein the dynamic sensing information is marked with a test cycle node.

[0053] Specifically, in the process of UV absorber detection based on biorecognition elements, the biosensor accurately detects the optical changes of the target molecule through a specific reaction. Among them, the specific reaction refers to the selective binding of the biorecognition element (such as an antibody or nucleic acid probe) to the specific molecule in the UV absorber, producing a unique signal change. This reaction is the core of the sensing detection, and the molecular changes of the absorber are detected to determine its degradation and absorption effect under UV irradiation.

[0054] In order to ensure the accuracy of data collection, it is necessary to pre-set the sensor collection standards of the sensor. These standards are set according to the response changes in the time and space dimensions. For example, in the time dimension, the system may collect sensor information at a fixed time interval (such as every second, every minute) to capture the dynamic changes of the absorbent. In the spatial dimension, the collection standard can be based on the response of different areas or angles of ultraviolet irradiation. For example, under different light intensities or irradiation positions, the performance of the absorbent may be different, so the collection standard of the spatial dimension also needs to be set according to the detection requirements, and the preset reaction variables for sensor collection and return are set based on this setting. Taking the last data return as the starting moment, when the preset reaction variables are met, the collected data is returned again. For continuous collection and analysis decisions, if the analysis data source is the detection data of all times, the processing difficulty and computing power requirements are high. Detection of valid nodes and reserving time for back-end calculations can effectively improve the effectiveness and orderliness of front-end sensing and back-end computing analysis.

[0055] These preset reaction variables ensure that the system can obtain enough valid data during monitoring. The preset reaction variables are set autonomously before detection, such as the reaction threshold of the absorbent, the photodegradation rate, or the reaction time point.

[0056] When the signal captured by the biosensor meets the preset sensor acquisition standard, the system will automatically generate a sensor feedback instruction, and the biosensor array will synchronously transmit the current collected data. This instruction triggers the data feedback, and transmits the currently collected dynamic sensing information back to the directional detection module for further processing. For example, if the standard set by the system is a threshold of a certain absorption intensity or degradation rate, the sensor will send a feedback instruction when this threshold is reached. In this way, the system can efficiently screen out useful data information, ensure that the feedback data for analysis is highly referenceable, avoid the accumulation of too much invalid data, and optimize the efficiency of sensing and data analysis.

[0057] Based on the sensor feedback instructions, the system will transmit the collected dynamic sensor information back to the directional detection module. With the help of advanced sensor control systems, it can automatically determine whether to generate data feedback instructions to optimize detection efficiency. Dynamic sensing information is a comprehensive data set containing real-time reaction data, which reflects the absorption capacity, photodegradation rate and its changing trend of the absorbent under ultraviolet irradiation. This information also includes the specific time nodes of each test, called test cycle nodes. For example, the sample from the initial test to photodegradation is completely regarded as a test cycle. Through these node identifiers, the system can compare data from different cycles and analyze the performance differences of the absorbent in different phases, so as to obtain a more accurate dynamic performance evaluation.

[0058] In summary, based on the specific reaction of the biometric element and the sensor acquisition standard, the system can efficiently and accurately collect the dynamic reaction information of the ultraviolet absorber, and promptly feed back the information to the directional detection module through sensor feedback instructions, realizing real-time analysis and detection, making the entire detection process highly intelligent and accurate.

[0059] Among them, Figure 2 As shown, the determination of the detection curve includes: combining with the directional detection unit, performing absorption trend analysis under the time phase to determine the directional detection curve; transferring the directional detection curve to the synergistic detection unit, combining with the ratio relationship function, performing synergistic analysis to determine the synergistic detection curve; differentially measuring the directional detection curve and the synergistic detection curve to determine the single absorption curve; integrating the directional detection curve, the synergistic detection curve and the single absorption curve as the detection curve, wherein the detection curve uses the test period as the time dimension and the particle distribution as the space dimension.

[0060] In the embodiment of the present application, during the directional detection of the ultraviolet absorber, the system constructs a detailed dynamic detection curve under the full cycle through a series of detection and analysis steps to evaluate the light stability and synergistic effect of the absorber. Specifically: For the dynamic sensing information that meets the preset reaction variables at a single time node transmitted back in real time, the absorption characteristics of the ultraviolet absorber and the photoprotectant at the single-cycle node under coordination are determined based on the analysis of the directional detection unit. With the advancement of the detection process and the gradual transmission of multi-node dynamic sensing data, the detection data of each time phase node are integrated in time to determine the trend of its absorption rate over time. For example, when the absorbent is exposed to ultraviolet light for a long time, its absorption performance may gradually decrease with photodegradation. The system processes the absorption data at these time phases and draws a directional detection curve. This curve can show the photodegradation absorption and its stability over time.

[0061] The detection results of the directional detection unit at a single time node are transferred to the synergistic detection unit. By combining the ratio relationship function of the absorbent and the light protectant, the effect of the light protectant in enhancing the performance of the absorbent is evaluated, and the influence of the light protectant on the absorption capacity of the ultraviolet absorber is determined. At the same time, with the continuous data feedback under periodic detection, the synergistic detection unit can generate a synergistic detection curve to show the synergistic effect of the light protectant on the absorbent.

[0062] After the enhancement test curve is generated, the system will perform differential measurement on the directional test curve and the enhancement test curve. Differential measurement is to determine the actual synergistic effect of the UV absorber alone by calculating the difference between the two curves. This difference reflects the absorption performance of the UV absorber itself in the absence of a photoprotectant. Through differential analysis, the system can determine a single absorption curve that represents the absorption performance of the UV absorber under independent use conditions, which is crucial for evaluating the independent photostability and effect of the absorber.

[0063] Finally, the system integrates the directional detection curve, the synergistic detection curve and the single absorption curve to generate a comprehensive detection curve. This detection curve is multi-dimensional and can show the performance of the absorber under different conditions (such as with or without photoprotective agents) and at different time points. It not only takes the test cycle as the time dimension, but also takes into account the spatial dimension of the distribution of microparticles in the absorber, that is, the performance of the absorber in different parts or under different lighting conditions. It shows the time dynamic changes of the UV absorber and reflects the synergistic effect of the photoprotective agent to provide a comprehensive absorption performance evaluation.

[0064] The method further includes: identifying the dynamic sensing information, determining the directional detection result of the first time phase node, wherein the analysis dimension at least includes the specific reaction state, reaction intensity and distribution diffusion penetration; determining the self-attenuation index of the photoprotectant; combining the self-attenuation index with the matching relationship function, performing synergistic analysis under the first time phase node, and determining the synergistic detection result.

[0065] Among them, in the detection of ultraviolet absorbers, not only will the absorption performance of ultraviolet absorbers decay and weaken over time, but the photoprotective agent will also decay to a certain extent, and its effect will gradually decrease. By determining the decay index of the photoprotective agent itself, the detection is compensated to improve the accuracy of the detection result.

[0066] In the embodiment of the present application, the first time phase node is any analysis node within the detection period, and directional analysis is performed from the following three perspectives, specifically: The specific reaction state is the specific reaction performance of the UV absorber under light. For example, the chemical changes or changes in the molecular structure of the UV absorber under UV irradiation. The specific reaction can help determine the photodegradation rate or absorption capacity of the absorber; the reaction intensity reflects the absorption capacity of the absorber at a specific time point. It indicates the amount of UV absorption or the degree of photodegradation of the absorber, usually expressed by the change of optical signals; distribution diffusion penetration focuses on the uniformity of the distribution of the absorber in the product and its penetration into the skin or other surfaces over time. Different distribution and penetration conditions may affect the overall protective effect of the absorber.

[0067] The self-attenuation index of a photoprotectant refers to the rate at which a photoprotectant gradually loses its protective function under ultraviolet irradiation. Over time, the photoprotectant will decay due to photodegradation or other external factors, resulting in a weakening of its synergistic effect on the absorbent. By monitoring the performance of the photoprotectant at different time points, the system can determine its self-attenuation index, and an exemplary self-attenuation index can be mined based on the application record of the photoprotectant. The self-attenuation index is usually a linear relationship with time as a variable, describing the downward trend of the effectiveness of the photoprotectant over time.

[0068] Once the self-attenuation index of the photoprotectant is determined, the attenuation rate of the protective effect of the photoprotectant is quantified. The system will combine this index with the ratio function of the absorbent and the photoprotectant to determine the actual degree of light absorption enhancement.

[0069] Through the synergistic analysis, the system will generate the synergistic test results, that is, the synergistic effect of the photoprotectant on the absorbent at the first phase node. The purpose of the synergistic test is to compare the performance of the absorbent without the photoprotectant with the performance with the photoprotectant.

[0070] Wherein, after the continuous detection of the combined biosensor array, it includes: establishing a synchronization timestamp constraint of the biosensor array; based on the sensor feedback instruction, triggering the biosensor array to perform feedback management of the dynamic sensor information.

[0071] Specifically, in the directional detection of UV absorbers, the synchronization and management of biosensor arrays are crucial to ensure the accuracy and consistency of data. As a group of highly sensitive sensors, the biosensor array can monitor and capture the dynamic reaction information of UV absorbers in cosmetics in real time. In order to ensure that the data recorded by each sensor in the same time period is consistent and comparable, a unified synchronization timestamp constraint needs to be established for these sensors.

[0072] At each time node, a time tag is added to the data recorded by each biosensor to ensure that the data of all sensors can be compared and analyzed according to a unified timeline. Preferably, for the acquisition configuration of the biosensor array, the same target detection setting of multiple sensors and the detection setting for multiple targets can be performed, and adaptive settings can be performed according to actual detection needs. Through timestamp constraints, the system can ensure that these data of different dimensions are synchronously processed and analyzed in the same time period to avoid inaccurate data caused by time deviation.

[0073] During the entire detection process, the system will control the start-up and data collection of the biosensor array according to the preset sensor feedback instructions. The sensor feedback instruction is a control signal sent by the system, instructing the sensor to start or end data collection at a specific time point or under specific conditions. For example, when a specific reaction of the absorbent is detected, the system will trigger the collection behavior of the sensor array according to the instruction.

[0074] Exemplarily, the triggering process of the sensor array can be carried out in the following ways: Periodic triggering: The system can trigger the sensor to collect data at preset time intervals to ensure continuous monitoring of the long-term photodegradation behavior of the absorbent; Conditional triggering: When the system detects a sudden change in the photodegradation or absorption capacity of the absorbent, the system can immediately trigger the sensor array to collect data according to the preset conditional instructions. The working state of the sensor can be flexibly controlled to capture the key reaction information of the absorbent under different conditions, and the collected data with the same frequency can be synchronously marked and synchronously transmitted.

[0075] Through unified timestamp management, data collection and analysis of all sensors in the same time period are ensured to be consistent, avoiding inaccurate data due to time deviation. The flexible sensor feedback instruction system enables sensors to start in time according to different time nodes or specific conditions to ensure the collection of dynamic data. Through data integration, verification and marking, it is ensured that data can be accurately transmitted and used for subsequent analysis. The integrity and accuracy of data transmission are ensured, providing a solid data foundation for subsequent directional detection and efficiency analysis.

[0076] Among them, after generating the directional detection list, the method also includes: identifying the light simulation parameters and the directional detection list, evaluating the environmental activity and failure factor of the microparticles in the ultraviolet absorber, and the failure factor is determined based on the abnormal absorption attenuation state; combining with the daylight simulator, testing and verifying the environmental activity and the failure factor.

[0077] Light simulation parameters refer to various conditions related to sunlight exposure set in the experiment, such as spectral distribution, light intensity, exposure time, etc. The light simulation parameters are compared and analyzed with the directional detection list, and the failure factors causing the abnormality are determined in combination with the light simulation parameters for the detection data under abnormal absorption attenuation state.

[0078] The environmental activity refers to the performance of the microparticles under specific environmental conditions, including their light stability, absorption capacity, etc. Environmental activity is usually affected by external factors such as temperature, humidity, and light intensity. By comparing the light simulation parameters with the detection data, the system can evaluate the activity level of the absorbent microparticles in the simulated environment. The failure factor refers to the degree of attenuation of the efficiency of the ultraviolet absorber under light conditions. Without considering the normal absorption attenuation, it is determined based on the abnormal absorption attenuation state, that is, when the absorption capacity of the absorbent decreases significantly under the influence of light or other external environments, the factors causing the impact will be used as the corresponding failure factor. For example, if the absorption capacity of the absorbent decreases by more than a preset threshold under long-term light, the system will record this state and calculate the failure factor.

[0079] To further verify the evaluation results, the system will use a daylight simulator to conduct actual tests to determine whether the environmental activity and failure factor positioning are accurate. Specifically, verify the environmental activity: by simulating actual environmental conditions, further light tests are conducted on the absorber to observe its absorption performance under specific light conditions to help confirm whether the previously evaluated environmental activity is accurate. Verify the failure factor: Perform light tests on the failure factor to observe the performance changes of the UV absorber and confirm whether the calculation of the failure factor is reasonable. If the absorber exhibits the expected absorption attenuation under simulated daylight conditions, the evaluation results of the failure factor are verified.

[0080] By identifying the integration of light simulation parameters and targeted test sheets, the system can conduct an in-depth assessment of the environmental activity and failure factors of the ultraviolet absorbers, and verify them using a solar simulator. This process provides a solid scientific basis for understanding and optimizing the performance of ultraviolet absorbers, ensuring that the protective effect of the final cosmetics meets the expected standards.

[0081] The present application provides a method for directional detection of cosmetic ultraviolet absorbers, which has the following technical effects: 1. Establish a baseline database, control the sunlight simulator, conduct sample photodegradation tests and continuous detection in combination with the biosensor array, determine dynamic sensing information, conduct dynamic absorption trend analysis under time phase and synergistic analysis based on photoprotectants, determine the detection curve and generate a directional detection list to solve the technical problems that the detection of ultraviolet absorbers in the existing technology is relatively one-sided and isolated, and cannot meet the dynamic detection needs in complex environments, resulting in insufficient detection accuracy and completeness. By controlling the sunlight simulator, the biosensor combined with nanomaterials is used to capture periodic microscopic changes, and a full-dimensional analysis is conducted from the presence or absence of photoprotectants to achieve dynamic and comprehensive accurate detection in the entire cycle.

[0082] 2. Analyze from three dimensions: the synergistic effect of UV absorbers and photoprotective agents, the synergistic effect of photoprotective agents, and the independent effect of UV absorbers, and use a directional prediction module to assist in training to achieve intelligent, comprehensive and objective analysis and decision-making.

[0083] 3. By setting the ultraviolet wavelength range, setting the adaptability standards for sensor detection and feedback, controlling the daylight simulator to simulate the actual scene, and combining the biosensor array for detection, dynamic detection of the entire cycle of light absorption and effective data feedback can be achieved, and the stability of sensor detection can be guaranteed to ensure the accuracy and real-time nature of the data.

[0084] 4. By introducing tracking media, interfering substances are distinguished from detection targets to avoid the presence of interfering substances with similar molecular structures to the target, which may cause the sensor to generate false alarms or missed alarms, so as to achieve effective sensing and improve the accuracy of sensor acquisition.

[0085] 5. Consider details, including the self-attenuation of the photoprotective agent, positioning, tracing and verification under abnormal absorption attenuation conditions, etc., to further improve the accuracy of the test and ensure the actual consistency of the test results.

[0086] Through the above detailed description of a method for directional detection of a cosmetic ultraviolet absorber, those skilled in the art can clearly understand the method for directional detection of a cosmetic ultraviolet absorber in this embodiment, and the above description of the disclosed embodiments enables professionals in the field to implement or use the present application. Various modifications to these embodiments will be obvious to professionals in the field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features disclosed herein.

Claims

1. A method for directional detection of cosmetic ultraviolet absorbers, characterized in that: The method comprises: From the perspective of ingredients and processes, we explored the relationship function between the ratio of UV absorbers and photoprotectants and established a baseline database. Controlling a sunlight simulator to conduct a sample photodegradation test and continuous detection in conjunction with a biosensor array to determine dynamic sensing information, wherein the biosensor performs directional detection based on a biorecognition element combined with nanomaterials; Based on the baseline database, a directional detection module is constructed, wherein the directional detection module includes a directional detection unit and an enhanced detection unit; Receive the dynamic sensing information, combine with the directional detection module, perform dynamic absorption trend analysis under the time phase and synergistic analysis based on the photoprotectant, and determine the detection curve, which is a three-in-one curve based on directional detection, synergistic detection and absorbent isolated detection; Identify the detection curve, generate a directional detection list, and visualize the terminal display interface.

2. A method for directional detection of cosmetic ultraviolet absorbers according to claim 1, characterized in that: The control of the daylight simulator includes: Determine the wavelength range of sunlight ultraviolet light; Setting a test period to determine a periodic wavelength curve based on the periodic fluctuation of the sunlight ultraviolet wavelength range; Using the periodic wavelength curve as a control element of a solar simulator; Determine the environmental stability factors of the biosensor, perform collision analysis and equilibrium processing with the simulation control factors, and determine the constraints of the simulation control.

3. A method for directional detection of cosmetic ultraviolet absorbers according to claim 1, characterized in that: Before the sample photodegradation test is performed, the following steps are included: Based on the ingredients and process of the target cosmetics, evaluate interfering substances, where the interfering substances are microparticles with similar structures to the target molecules; If interfering substances are present, a tracking medium is introduced to assist the tracking medium in performing dynamic tracking and directional sensing.

4. A method for directional detection of cosmetic ultraviolet absorbers according to claim 1, characterized in that: The receiving the dynamic sensing information comprises: Determine the sensing acquisition standard based on the specific reaction of the biometric recognition element, wherein the sensing acquisition standard is a preset reaction variable based on the time dimension or the space dimension; If the sensor collection standard is met, a sensor return instruction is generated; Based on the sensor feedback instruction, the collected dynamic sensor information is fed back to the directional detection module, wherein the dynamic sensor information is marked with a test cycle node.

5. A method for directional detection of cosmetic ultraviolet absorbers according to claim 2, characterized in that: The determining of the detection curve comprises: In combination with the directional detection unit, an absorption trend analysis is performed under the time phase to determine a directional detection curve; The directional detection curve is transferred to the synergistic detection unit, and combined with the matching relationship function, a synergistic analysis is performed to determine the synergistic detection curve; Perform differential measurement on the directional detection curve and the synergistic detection curve to determine a single absorption curve; The directional detection curve, the synergistic detection curve and the single absorption curve are integrated to serve as the detection curve, wherein the detection curve takes the test period as the time dimension and the particle distribution as the space dimension.

6. A method for directional detection of cosmetic ultraviolet absorbers according to claim 1, characterized in that: The method further comprises: Identify the dynamic sensing information and determine the directional detection result of the first time phase node, wherein the analysis dimensions at least include specific reaction state, reaction intensity and distribution diffusion penetration; determining a self-attenuation index of the photoprotectant; In combination with the self-attenuation index and the matching relationship function, a synergy analysis is performed under the first time phase node to determine a synergy detection result.

7. A method for directional detection of cosmetic ultraviolet absorbers according to claim 4, characterized in that: After the continuous detection of the binding biosensor array, the method comprises: establishing synchronization timestamp constraints for the biosensor array; Based on the sensing feedback instruction, the biosensor array is triggered to perform feedback management of the dynamic sensing information.

8. A method for directional detection of cosmetic ultraviolet absorbers according to claim 1, characterized in that: After generating the directional inspection form, the method further includes: Identifying light simulation parameters and the directional detection list, evaluating environmental activity and failure factors of microparticles in the ultraviolet absorber, wherein the failure factors are determined based on abnormal absorption attenuation states; In combination with the sunlight simulator, the environmental activity and the failure factor are tested and verified.

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