Method for assessing skin health damage based on air pollution exposure intensity model

Abstract

The present application belongs to the technical field of skin detection and evaluation, and relates to a skin health damage evaluation method based on an air pollution exposure intensity model. The method comprises: detecting skin multidimensional indexes by using a skin health damage detection sensor, and synchronously acquiring environmental air pollution data; constructing a multidimensional skin health damage evaluation system; evaluating skin barrier damage; establishing an air pollution exposure intensity model, establishing a correlation model of skin health damage indexes and air pollution exposure intensity; calculating air pollution exposure intensity indexes and a skin health comprehensive damage index; and determining a skin health damage grade. The present application covers multidimensional information such as skin physiology, metabolism, environment, behavior and time sequence, and improves the accuracy of skin health damage evaluation through air pollution correlation analysis. Through skin health damage grading, the present application can distinguish between pollutant-specific damage and skin problems caused by other factors, so that the evaluation result is more accurate.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of skin detection and evaluation, and particularly relates to a skin health damage evaluation method based on an air pollution exposure intensity model. BACKGROUND

[0002] With the increasingly serious global air pollution problem, pollutants cause multi-dimensional damage to human skin through direct contact and penetration, including damaging skin barrier integrity, triggering inflammatory response, inducing oxidative stress, disrupting microbiome balance, and promoting pigmentation, etc., thereby leading to a series of skin problems. As the largest organ of the human body, the health status of the skin is directly related to the ambient air quality, and people's demand for real-time monitoring of the impact of pollution on their own skin and obtaining accurate protection guidance is increasingly urgent.

[0003] Currently, skin health evaluation mainly relies on traditional detection methods (such as skin mirror observation, laboratory biochemical analysis, and single-point measurement by a transepidermal water loss instrument) and some single-function sensors. These methods have obvious limitations in application: most existing sensors are designed to detect a single skin indicator (such as strain, moisture, and pH value), which cannot comprehensively capture the multi-dimensional damage to the skin induced by air pollution (such as barrier damage, oxidative stress, inflammation, and microbiome imbalance), and the evaluation results are one-sided; the existing evaluation methods do not establish a quantitative correlation model between monitoring data and the degree of air pollution exposure, making it difficult to achieve accurate skin health damage evaluation. SUMMARY

[0004] To solve the above technical problems, the present application provides a skin health damage evaluation method based on an air pollution exposure intensity model, which comprises:

[0005] Using a skin health damage detection sensor to detect multi-dimensional skin indicators and synchronously acquiring environmental air pollution data;

[0006] Constructing a multi-dimensional skin health damage evaluation system, including skin barrier damage evaluation, oxidative stress damage evaluation, inflammation reaction evaluation, microbiome imbalance evaluation, and pigmentation risk evaluation;

[0007] Skin barrier damage evaluation, including: calculating a comprehensive barrier damage index according to the transepidermal water loss and the skin surface pH value;

[0008] Oxidative stress damage evaluation, including: calculating an oxidative stress damage index according to the skin resistance and antioxidant capacity;

[0009] Inflammation reaction evaluation, including: calculating an inflammation damage index according to the skin resistance and skin pressure;

[0010] Microbiome imbalance evaluation, including: calculating a microbiome imbalance index according to the gas permeability rate;

[0011] pigmentation risk assessment, comprising: calculating a pigmentation risk index according to the oxidative stress damage index and the inflammation damage index;

[0012] air pollution association analysis, comprising: establishing an air pollution exposure intensity model based on environmental air pollution data, establishing an association model between the skin health damage index and the air pollution exposure intensity; calculating an air pollution exposure intensity index according to the air pollution exposure intensity model; and calculating a skin health comprehensive damage index according to the association model;

[0013] damage level determination, comprising: determining the skin health damage level according to the air pollution exposure intensity and the skin health comprehensive damage index.

[0014] In some optional embodiments, the skin health damage detection sensor comprises, in sequence, a substrate protection layer, a functional sensing layer, a functional modification layer, a skin contact layer, and a packaging layer;

[0015] The substrate protection layer is integrally provided with a signal acquisition unit; the signal acquisition unit comprises a flexible electrode; the flexible electrode is connected to the functional sensing layer through conductive silver paste, and is used to acquire resistance, impedance, and electrochemical signals;

[0016] The functional sensing layer comprises a bamboo fiber-oxidized graphene composite porous film prepared by an electro-emulsification-electric field alignment process; the bamboo fiber-oxidized graphene composite porous film uniformly distributes microbubble structures aligned along electric field lines, and the microbubble structures load oxidized graphene nanofillers;

[0017] The functional modification layer comprises a pH detection unit and an antioxidant detection unit;

[0018] The microbubble structures of the functional sensing layer respond to skin tension, water permeation, and gas molecule diffusion; the functional modification layer is used for synchronous detection of multi-dimensional indexes of the skin; the multi-dimensional indexes include transepidermal water loss, skin surface pH value, antioxidant capacity, skin resistance, skin pressure, and gas permeability.

[0019] In some optional embodiments, the preparation process of the bamboo fiber-oxidized graphene composite porous film comprises:

[0020] The bamboo fiber suspension is mixed with the prepared oxidized graphene conductive ink to form a mixed slurry;

[0021] An emulsion is added to the mixed slurry, and the oxidized graphene spontaneously migrates to the water-oil interface stable microbubbles to obtain a mixed emulsion;

[0022] The mixed emulsion is poured into a mold containing parallel plate electrodes, a direct current electric field is applied, and the microbubbles are aligned along the electric field lines;

[0023] The mixed emulsion is filtered under vacuum, washed with ethanol and dried under vacuum to obtain the bamboo fiber-graphene oxide composite porous film.

[0024] In some optional embodiments, a fluorescein derivative is dissolved in ethanol, mixed with a polylactic acid solution at a set volume ratio, uniformly coated on the surface of the bamboo fiber-graphene oxide composite porous film by micro-spraying, and dried to form a pH-sensitive unit.

[0025] In some optional embodiments, methylene blue is dissolved in deionized water, and an electrostatic spraying method is used to coat the predetermined area of the bamboo fiber-graphene oxide composite porous film, and an antioxidant detection unit is formed after drying.

[0026] In some optional embodiments, the preparation method of graphene oxide conductive ink is as follows: graphene oxide powder is added to deionized water, magnetic stirring to form a preliminary suspension, ultrasonic treatment under ice water bath, addition of dispersant and sodium alginate binder, stirring and mixing, centrifugation to remove bubbles, and obtaining stable graphene oxide conductive ink.

[0027] In some optional embodiments, environmental air pollution data is collected by obtaining environmental monitoring station data or air quality monitoring instrument.

[0028] In some optional embodiments, the air pollution exposure intensity model is established by weighted summation of each environmental air pollution data.

[0029] In some optional embodiments, the skin health damage index and air pollution exposure intensity correlation model is established by weighted summation of the comprehensive barrier damage index, oxidative stress damage index, inflammation damage index, microecological imbalance index and pigmentation risk index.

[0030] In some optional embodiments, the skin health damage grade is determined according to the air pollution exposure intensity and the skin health comprehensive damage index, including:

[0031] The air pollution exposure intensity and the skin health comprehensive damage index are divided into several reference intervals, respectively.

[0032] According to the interval corresponding to the air pollution exposure intensity and the interval corresponding to the skin health comprehensive damage index, the corresponding skin health damage grade is set.

[0033] The beneficial effects of the present application are: the present application covers multi-dimensional information such as skin physiology, metabolism, environment, behavior and time sequence by integrating six-dimensional holographic data, breaks through the limitations of traditional single-dimensional detection, comprehensively depicts the skin interlayer structure and function synergy, and improves the accuracy of skin health damage assessment through air pollution correlation analysis; the present application can distinguish the specific damage of pollutants and the skin problems caused by other factors through the grading of skin health damage, so that the evaluation result is more accurate. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 FIG. 1 is a flow principle diagram of the skin health damage assessment method based on the air pollution exposure intensity model provided by the present application. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme of the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations.

[0036] Embodiment 1

[0037] As an embodiment, to solve the problems existing in the prior art, as shown in FIG. Figure 1 The present embodiment provides a skin health damage assessment method based on an air pollution exposure intensity model, which comprises the following steps:

[0038] Step 110: detecting the skin multi-dimensional indicators by using a skin health damage detection sensor, and synchronously acquiring environmental air pollution data;

[0039] In some optional embodiments, the skin health damage detection sensor comprises, in sequence, a substrate protection layer, a functional sensing layer, a functional modification layer, a skin contact layer and an encapsulation layer;

[0040] The substrate protection layer is integrally provided with a signal acquisition unit; the signal acquisition unit comprises a flexible electrode; the flexible electrode is connected with the functional sensing layer through conductive silver paste, and is used for acquiring resistance, impedance and electrochemical signals;

[0041] The functional sensing layer comprises a bamboo fiber-graphene oxide composite porous film prepared by an electro-emulsification-electric field arrangement process; the bamboo fiber-graphene oxide composite porous film uniformly distributes microbubble structures arranged along the electric field lines, and the microbubble structures load graphene oxide nano fillers;

[0042] The functional modification layer comprises a pH detection unit and an antioxidant detection unit; the microbubble structure of the functional sensing layer responds to skin tension, water permeation and gas molecule diffusion; the functional modification layer is used for synchronous detection of multi-dimensional indexes of the skin; the multi-dimensional indexes include transepidermal water loss, skin surface pH value, antioxidant capacity, skin resistance, skin pressure and gas permeability.

[0043] In actual application, the layers are fixed by biocompatible adhesive and have good flexibility and skin adaptability.

[0044] In some optional embodiments, a medical-grade polyimide film is used to protect the functional sensing layer from external environmental interference while ensuring the flexible fitting performance of the sensor, because the medical-grade polyimide film has excellent mechanical strength, high temperature resistance and biocompatibility.

[0045] In some optional embodiments, the preparation process of the bamboo fiber-oxidized graphene composite porous film comprises:

[0046] The bamboo fiber suspension is mixed with the prepared oxidized graphene conductive ink to form a mixed slurry;

[0047] An emulsion is added to the mixed slurry, and the oxidized graphene spontaneously migrates to the water-oil interface to stabilize the microbubbles, thereby obtaining a mixed emulsion;

[0048] The mixed emulsion is poured into a mold containing parallel plate electrodes, and a direct current electric field is applied to make the microbubbles directionally arrange along the electric field lines;

[0049] The mixed emulsion is subjected to vacuum filtration, ethanol washing and vacuum drying to obtain the bamboo fiber-oxidized graphene composite porous film.

[0050] Specifically, the functional sensing layer adopts a bamboo fiber-oxidized graphene composite porous film prepared by electro-emulsification-electric field arrangement, and has a thickness of 20-80 μm. The composite film uniformly distributes microbubble structures with a pore size of 5-50 μm, and the microbubbles load oxidized graphene nanofillers. The mass ratio of bamboo fiber to oxidized graphene is 1:0.3-1:1.2. The oxidized graphene nanofillers have good conductivity and redox response characteristics. The bamboo fiber is made of bamboo pulp, and the fiber surface is rich in hydroxyl groups after beating treatment, which can form stable hydrogen bonds with the oxidized graphene and improve the biocompatibility and air permeability of the composite film. The microbubble structure is prepared by an oil-water (bamboo fiber-oxidized graphene mixed slurry) emulsion method. The oxidized graphene spontaneously migrates to the water-oil interface to stabilize the microbubbles, and directionally arranges along the electric field lines under the action of a direct current electric field to form an ordered porous structure. The microbubble structure can respond to changes in skin tension, water permeation and gas molecule diffusion, and realize synchronous detection of multiple physical quantities.

[0051] In some optional embodiments, the pH-sensitive unit is formed by dissolving fluorescein derivatives in ethanol, mixing with a polylactic acid solution at a set volume ratio, uniformly coating on the surface of the bamboo fiber-graphene oxide composite porous film by micro-spraying, and drying to form the pH-sensitive unit.

[0052] Specifically, the pH-sensitive unit is formed by uniformly dispersing fluorescein derivatives (such as fluorescein isothiocyanate) in a biocompatible polymer matrix (such as polylactic acid), with a thickness of 5-10 μm, and can produce fluorescence intensity or wavelength shift according to the change of the skin surface pH value.

[0053] In some optional embodiments, the antioxidant detection unit is formed by dissolving methylene blue in deionized water and coating on the predetermined area of the bamboo fiber-graphene oxide composite porous film by electrostatic spraying, and drying to form the antioxidant detection unit.

[0054] Specifically, the antioxidant detection unit loads methylene blue redox mediators on the surface of the functional sensing layer by micro-spraying to form a film with a thickness of 3-8 μm, which is used to detect the antioxidant capacity on the skin surface by electrochemical method.

[0055] In some optional embodiments, the functional sensing layer is also provided with a temperature compensation unit. Specifically, a flexible platinum resistance sensor is integrated at the edge of the functional sensing layer to monitor the ambient temperature and the skin surface temperature in real time. The temperature compensation unit is used to correct the detection data, which is beneficial to improve the detection accuracy and realize the collection of transdermal water loss rate, skin surface pH value, skin resistance, antioxidant capacity and skin temperature.

[0056] In some optional embodiments, the skin contact layer adopts a medical grade hydrogel with a thickness of 10-20 μm and a water content of 30%-50%, which has good biocompatibility, adhesion and air permeability, can realize the close adhesion of the sensor and the skin surface, reduce the discomfort of wearing, and avoid skin irritation.

[0057] In some optional embodiments, the packaging layer adopts a polydimethylsiloxane film with a thickness of 5-15 μm, which has excellent water resistance and air permeability, is used to protect the internal structure of the sensor from interference of sweat, dust and other factors, and does not affect the penetration and detection of skin metabolites.

[0058] In some optional embodiments, the flexible electrode adopts a silver-copper composite electrode prepared by physical vapor deposition, with a thickness of 1-3 μm, which is connected to the functional sensing layer by conductive silver paste and is used to collect resistance, impedance and electrochemical signals.

[0059] The skin health damage detection sensor integrates multi-dimensional detection functions of skin barrier integrity, oxidative stress, inflammatory response, micro-ecological balance and pigmentation risk, and can comprehensively capture air pollution-induced skin health damage, solving the problem of single function of existing devices.

[0060] The skin health damage detection sensor adopts a skin attachment type design, and the skin contact layer is a medical grade hydrogel with good biocompatibility, convenient to carry and no risk of infection; it can realize 24-hour real-time continuous monitoring, capture the dynamic changes of skin damage, and avoid the intermittent limitations of traditional detection.

[0061] High sensitivity and accuracy: the functional sensing layer adopts a bamboo fiber-oxidized graphene composite porous structure, and the microbubbles are oriented along the electric field, with high response sensitivity to skin tension, moisture and gas molecules, effectively improving the accuracy and reliability of the detection data.

[0062] The skin health damage detection sensor is small in size and light in weight, flexible, and can be attached to multiple parts of the body; the signal is transmitted wirelessly to the terminal device, which is easy to operate and suitable for home monitoring, daily health management and remote medical scenarios.

[0063] Bamboo fiber is used as the base material of the composite film, which is widely available, environmentally friendly and renewable; the composite structure of oxidized graphene and bamboo fiber improves the biocompatibility and air permeability of the material, and there is no skin irritation during long-term wear, suitable for people of all ages.

[0064] In some optional embodiments, environmental air pollution data is acquired by acquiring environmental monitoring station data or air quality monitor.

[0065] Specifically, the environmental air pollution data includes PM2.5 concentration, PM10 concentration, ozone concentration and polycyclic aromatic hydrocarbon concentration.

[0066] Step 120: Construct a multi-dimensional skin health damage evaluation system, including skin barrier damage evaluation, oxidative stress damage evaluation, inflammatory response evaluation, micro-ecological imbalance evaluation and pigmentation risk evaluation;

[0067] The skin barrier damage evaluation includes: calculating the comprehensive barrier damage index according to the transepidermal water loss and the skin surface pH value.

[0068] In actual application, the transepidermal water loss evaluation: when the real-time transepidermal water loss is higher than the baseline value by 30% or more, and the duration is greater than or equal to 2 hours, it is determined that the skin barrier is damaged; if it is increased by 50% or more, it is determined to be severely damaged.

[0069] pH value evaluation: the pH value of healthy skin ranges from 4.0 to 6.0, when the real-time pH value exceeds the range and the duration is greater than or equal to 1 hour, it is determined that the skin chemical barrier is damaged; the pH value is greater than or equal to 7.0 and less than or equal to 3.5, it is determined that the skin is severely damaged.

[0070] Let the comprehensive barrier damage index be , the trans-epidermal water loss rate be , the real-time trans-epidermal water loss be , the baseline value be , and the pH value be , then:

[0071] .

[0072] The comprehensive barrier damage index is expressed as: . When the comprehensive barrier damage index is greater than or equal to 0.3, it is determined that the barrier damage is positive

[0073] Oxidative stress damage evaluation includes: calculating the oxidative stress damage index according to the skin resistance and antioxidant capacity.

[0074] The oxidative stress damage evaluation adopts an indirect evaluation method, which is as follows:

[0075] Direct evaluation: the ROS (Reactive Oxygen Species) level is represented by the resistance change of graphene oxide, when the real-time resistance value decreases by more than or equal to 20% compared with the baseline value, it is determined that the ROS level is elevated; when the real-time resistance value decreases by more than or equal to 40% compared with the baseline value, it is determined that the ROS level is severely elevated.

[0076] Indirect evaluation: the antioxidant capacity change is represented by the antioxidant capacity change, when the real-time antioxidant capacity decreases by more than or equal to 25% compared with the baseline value, it is determined that the antioxidant defense ability is decreased; when the real-time antioxidant capacity decreases by more than or equal to 50% compared with the baseline value, it is determined that the antioxidant defense ability is severely decreased.

[0077] Let the oxidative stress damage index be , the resistance change rate of graphene oxide be , and the antioxidant capacity change rate be , then the oxidative stress damage index is: . When the oxidative stress damage index is greater than or equal to 0.25, it is determined that the oxidative stress damage is positive.

[0078] Inflammation reaction evaluation includes: calculating the inflammation damage index according to the skin resistance and skin pressure.

[0079] According to the skin resistance, the skin resistance change rate is calculated: when the skin resistance continues to decrease, such as the decrease amplitude is greater than or equal to 15% in the set period, it is determined that there is subclinical inflammation; and when the decrease amplitude is greater than or equal to 30% in the set period, it is determined that the inflammatory reaction is obvious.

[0080] According to the skin pressure, the skin pressure change amount is calculated: when the sensor detects that the skin pressure change amount is greater than or equal to 5 kPa, and the duration is greater than or equal to 1 hour, it is determined that the tissue fluid exudation increases, and the inflammatory reaction is active.

[0081] Let the inflammatory damage index be , the skin resistance change rate be , and the skin pressure change amount be , then:

[0082] For example, when the inflammatory damage index is greater than or equal to 0.15, it is determined that the inflammatory damage is positive.

[0083] Microecological imbalance evaluation, including: according to the gas permeability, the microecological imbalance index is calculated.

[0084] For example: when the gas permeability of the composite film changes by greater than or equal to 20% compared with the baseline value, it is determined that the skin microbial metabolic product is abnormal, and there is a risk of microecological imbalance; and when the gas permeability of the composite film changes by greater than or equal to 40% compared with the baseline value, it is determined that the microecological imbalance is obvious.

[0085] Let the microecological imbalance index be , and the microecological imbalance index be the change rate of the gas permeability. When the microecological imbalance index is greater than or equal to 0.2, it is determined that the microecological imbalance is positive.

[0086] Pigmentation risk evaluation, including: according to the oxidative stress damage index and the inflammatory damage index, the pigmentation risk index is calculated;

[0087] Comprehensive oxidative stress and inflammation indicators: when the oxidative stress damage index is greater than or equal to 0.25 and the inflammatory damage index is greater than or equal to 0.15, and the duration is greater than or equal to 48 hours, it is determined that the pigmentation risk is high.

[0088] Let the pigmentation risk index be , When the pigmentation risk index is greater than or equal to 0.375, it is determined that the pigmentation risk is positive.

[0089] Step 130: air pollution correlation analysis, including: establishing an air pollution exposure intensity model based on environmental air pollution data, and establishing a correlation model between the skin health damage index and the air pollution exposure intensity; calculating the air pollution exposure intensity index according to the air pollution exposure intensity model; and calculating the skin health comprehensive damage index according to the correlation model.

[0090] In some optional embodiments, the air pollution exposure intensity model is established by weighted summation of the respective environmental air pollution data. Let the concentration of PM2.5 be the concentration of PM10 be the concentration of ozone be the real-time concentration of polycyclic aromatic hydrocarbons be , the weight coefficient of the concentration of PM2.5 be the weight coefficient of the concentration of PM10 be the weight coefficient of the concentration of ozone be the weight coefficient of the real-time concentration of polycyclic aromatic hydrocarbons be, then the air pollution exposure intensity model is expressed as:

[0091] .

[0092] In some optional embodiments, the correlation model between the skin health damage index and the air pollution exposure intensity is established by weighted summation of the comprehensive barrier damage index, the oxidative stress damage index, the inflammation damage index, the micro-ecological imbalance index, and the pigmentation risk index. Let the skin health comprehensive damage index be the weight coefficient of the comprehensive barrier damage index be the weight coefficient of the oxidative stress damage index be the weight coefficient of the inflammation damage index be the weight coefficient of the micro-ecological imbalance index be the weight coefficient of the pigmentation risk index be, then:

[0093] .

[0094] Step 140: damage level determination, including: determining the skin health damage level according to the air pollution exposure intensity and the skin health comprehensive damage index.

[0095] In some optional embodiments, the skin health damage level is determined according to the air pollution exposure intensity and the skin health comprehensive damage index, including: ​​​​​

[0096] The air pollution exposure intensity and the skin health comprehensive damage index are divided into several reference intervals respectively;

[0097] According to the interval corresponding to the air pollution exposure intensity and the interval corresponding to the skin health comprehensive damage index, the corresponding skin health damage level is set.

[0098] Specifically, according to the comprehensive damage index and the air pollution exposure intensity , the skin health damage level is divided into 5 levels as follows:

[0099] 0 level (no skin health damage): Less than 0.1, no matter The value is determined as no air pollution related skin damage;

[0100] 1 level (mild skin health damage): 0.1≤ <0.2 and <100, determined as mild air pollution induced skin damage, showing mild skin barrier damage and no obvious inflammatory response;

[0101] 2 level (mild skin health damage): 0.2≤ <0.3 and 100≤ <200, or ≥0.2 and <100, determined as mild damage, showing skin barrier damage and increased oxidative stress;

[0102] 3 level (moderate skin health damage): 0.3≤ <0.5 and 200≤ <300, determined as moderate damage, showing severe skin barrier damage, obvious inflammatory response and microecological imbalance;

[0103] 4 level (severe skin health damage): ≥0.5 and ≥300, determined as severe damage, showing active skin inflammation, severe oxidative stress and high risk of pigmentation.

[0104] The present application integrates six-dimensional holographic data, covering multi-dimensional information such as skin physiology, metabolism, environment, behavior and time sequence, breaks through the limitations of traditional single-dimensional detection, fully describes the skin interlayer structure and function synergy, and improves the accuracy of skin health damage evaluation through air pollution correlation analysis.

[0105] The present application can distinguish between pollutant specific damage and skin problems caused by other factors through skin health damage grading, making the evaluation result more accurate.

[0106] Those skilled in the art can understand that the above-mentioned embodiments are specific embodiments for implementing the present application, and various changes can be made in form and details in actual application without departing from the spirit and scope of the present application.

[0107] The above merely illustrates the preferred embodiments of the present application, and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for skin damage assessment based on air pollution exposure intensity model, characterized in that, The application relates to a skin multi-dimensional index detection device and a skin multi-dimensional index detection method. The skin multi-dimensional index detection device comprises a skin damage detection sensor and an environment air pollution data acquisition device; the skin damage detection sensor comprises a base protection layer, a functional sensing layer, a functional modification layer, a skin contact layer and an encapsulation layer which are stacked in sequence; the base protection layer is integrated with a signal acquisition unit; the signal acquisition unit comprises a flexible electrode; the flexible electrode is connected with the functional sensing layer through conductive silver paste and is used for collecting resistance, impedance and electrochemical signals; the functional sensing layer comprises a bamboo fiber-oxidized graphene composite porous film prepared through an electric emulsification-electric field arrangement process; the bamboo fiber-oxidized graphene composite porous film is uniformly distributed with microbubble structures which are arranged along electric field lines, and the microbubble structures are loaded with oxidized graphene nanofillers; the functional modification layer comprises a pH detection unit and an antioxidant detection unit; the microbubble structures of the functional sensing layer respond to skin tension, water permeation and gas molecule diffusion. The functional modification layer is used for synchronously detecting skin multi-dimensional indexes; the multi-dimensional indexes include trans-epidermal water loss, skin surface pH value, antioxidant capacity, skin resistance, skin pressure and gas permeability. A multi-dimensional skin damage evaluation system is constructed, which comprises skin barrier damage evaluation, oxidative stress damage evaluation, inflammation reaction evaluation, micro-ecological imbalance evaluation and pigment deposition risk evaluation. The skin barrier damage evaluation comprises the following steps: calculating a comprehensive barrier damage index according to the trans-epidermal water loss and the skin surface pH value; The oxidative stress damage evaluation comprises the following steps: calculating an oxidative stress damage index according to the skin resistance and the antioxidant capacity; The inflammation reaction evaluation comprises the following steps: calculating an inflammation damage index according to the skin resistance and the skin pressure; The micro-ecological imbalance evaluation comprises the following steps: calculating a micro-ecological imbalance index according to the gas permeability; The pigment deposition risk evaluation comprises the following steps: calculating a pigment deposition risk index according to the oxidative stress damage index and the inflammation damage index; The air pollution correlation analysis comprises the following steps: establishing an air pollution exposure intensity model based on the environment air pollution data, establishing a correlation model of the skin damage indexes and the air pollution exposure intensity, calculating an air pollution exposure intensity index according to the air pollution exposure intensity model and calculating a skin comprehensive damage index according to the correlation model; The damage grade determination comprises the following steps: determining a skin damage grade according to the air pollution exposure intensity and the skin comprehensive damage index.

2. The skin damage assessment method based on the air pollution exposure intensity model according to claim 1, characterized in that, The preparation process of the bamboo fiber-oxidized graphene composite porous film comprises the following steps: The bamboo fiber suspension liquid is mixed with the prepared oxidized graphene conductive ink to form a mixed slurry; The emulsifying liquid is added into the mixed slurry, and the oxidized graphene spontaneously migrates to the water-oil interface to form stable microbubbles, thereby obtaining a mixed emulsion; The mixed emulsion is poured into a mold containing parallel plate electrodes, a direct current electric field is applied, and the microbubbles are arranged along the electric field lines; The mixed emulsion is subjected to vacuum filtration, ethanol washing and vacuum drying to obtain the bamboo fiber-oxidized graphene composite porous film. 3.The skin damage assessment method based on the air pollution exposure intensity model according to claim 1, wherein, The fluorescein derivative is dissolved in ethanol, mixed with a polylactic acid solution at a set volume ratio, uniformly coated on the surface of the bamboo fiber-oxidized graphene composite porous film through a micro-spraying method, dried and treated to form a pH sensitive unit. 4.The skin damage assessment method based on an air pollution exposure intensity model according to claim 1, wherein, The antioxidant detection unit is formed by dissolving methylene blue in deionized water, coating the preset area of the bamboo fiber-graphene oxide composite porous film by electrostatic spraying, and drying to form the antioxidant detection unit.

5. The skin damage assessment method based on an air pollution exposure intensity model according to claim 1, wherein, The preparation method of the graphene oxide conductive ink is as follows: graphene oxide powder is added to deionized water, magnetic stirring to form a preliminary suspension, ultrasonic treatment under ice water bath, addition of dispersant and sodium alginate binder, stirring and mixing, centrifugal bubble removal, and stable graphene oxide conductive ink is obtained.

6. The skin damage assessment method based on an air pollution exposure intensity model according to claim 1, wherein, The environmental air pollution data is acquired by obtaining environmental monitoring station data or air quality monitor.

7. The skin damage assessment method based on an air pollution exposure intensity model according to claim 1, wherein, The air pollution exposure intensity model is established by weighted summation of each environmental air pollution data. 8.The skin damage assessment method based on an air pollution exposure intensity model according to claim 1, wherein, The correlation model of skin damage index and air pollution exposure intensity is established by weighted summation of the comprehensive barrier damage index, oxidative stress damage index, inflammation damage index, and micro-ecological imbalance index and pigmentation risk index. 9.The skin damage assessment method based on an air pollution exposure intensity model according to claim 1, wherein, According to the air pollution exposure intensity and the skin comprehensive damage index, the skin damage grade is determined, including: The air pollution exposure intensity and the skin comprehensive damage index are divided into several reference intervals, respectively. According to the interval corresponding to the air pollution exposure intensity and the interval corresponding to the skin comprehensive damage index, the corresponding skin damage grade is set.

Images