Traditional Chinese medicinal material heavy metal probability risk assessment system and visual platform

Abstract

The invention relates to the technical field of traditional Chinese medicine quality supervision, and discloses a traditional Chinese medicine heavy metal probability risk assessment system and a visual platform, and the system comprises a data recognition module, an analysis calculation module and an assessment management and control module. According to the traditional Chinese medicinal material heavy metal probability risk assessment system, an assessment data set is collected through a data identification module, a target medicinal material consumption characteristic data set and a target medicinal material concentration characteristic data set are screened and analyzed according to a user instruction, a Monte Carlo (MC) algorithm is adopted to approach real data distribution, and the daily exposure EDI of target medicinal material heavy metal is calculated; distribution hypothesis is high in applicability and wide in range, a probability risk calculation unit calculates a hazard entropy HQ, a hazard index HI, a single heavy metal element carcinogenic risk index CRi and all heavy metal combined carcinogenic risks CRt, analysis automation and result visualization are achieved, a priority management and control list is determined, a corresponding evaluation report is generated, and evaluation is real, accurate and traceable.

Description

Technical Field

[0001] This invention relates to the field of traditional Chinese medicine quality supervision technology, specifically to a system and visualization platform for assessing the probability risk of heavy metals in traditional Chinese medicinal materials. Background Technology

[0002] Traditional Chinese Medicine (TCM) is China's traditional medicine with a history of thousands of years. It is characterized by a holistic approach and syndrome differentiation, emphasizing the harmonious relationship between the human body and the natural environment. TCM includes various treatment methods such as herbal medicine, acupuncture, and massage, aiming to adjust the body's Yin-Yang balance to prevent and treat diseases. Herbal medicine primarily uses natural herbs, characterized by definite efficacy and minimal side effects. In many medical systems, TCM is used as a therapeutic ingredient and can assist or replace traditional Western medicine treatments. However, TCM is often susceptible to contamination by exogenous harmful substances during its growth, harvesting, and processing. Some soils or water sources themselves contain high concentrations of heavy metals or radioactive elements, causing plants to absorb these elements during growth and accumulate them in the TCM, leaving some residues even after decoction. Therefore, it is crucial to conduct risk assessments of heavy metals in TCM using scientific methods. However, due to the vast variety of TCM herbs, risk assessment of trace elements in TCM using slicing and analysis is time-consuming and labor-intensive. Therefore, there is a need to develop an automated risk assessment system based on cloud computing. Regulatory authorities can utilize this system to assess the risk of heavy metal contamination in the production and market circulation of Chinese medicinal materials. This will help establish quality supervision standards for Chinese medicinal materials, formulate and improve relevant policies and regulations, ensure that Chinese medicinal products meet national and regional safety standards, and provide risk warnings and management for the Chinese medicinal material market. It will also strengthen the supervision of the production, import, export, and market circulation of Chinese medicinal materials. Once the system detects that certain Chinese medicinal materials have a heavy metal contamination risk exceeding safety standards, measures can be taken promptly to prevent the risk from escalating. Simultaneously, disseminating information on the probability risk assessment of heavy metal contamination in Chinese medicinal materials to the public through media channels can effectively enhance public awareness of the quality and safety of Chinese medicinal materials, encourage consumers to make more rational choices and use of Chinese medicinal products, and promote the inheritance and development of Chinese medicine culture.

[0003] Existing technologies, such as the method for risk assessment of heavy metals in traditional Chinese medicine materials published in CN111861183A, collect and detect the heavy metal transfer rate t after extraction from traditional Chinese medicine materials. Based on parameters such as average human lifespan, frequency of use of traditional Chinese medicine, daily dosage, exposure years, transfer rate, average body weight, and pollutant concentration, an exposure calculation formula is provided to calculate the exposure level. The method calculates the hazard index when health guidance values ​​are known and the exposure limit when no authoritative health guidance values ​​are available, thus assessing the degree of heavy metal pollution in traditional Chinese medicine materials. However, in practical use, this method is difficult to flexibly adapt to the diversity and complexity of data. Traditional fitting methods are insufficiently adaptable to complex distribution assumptions. The assumed model limits the description of the actual data distribution, leading to increased system computational complexity and limited parameter estimation. When the data does not conform to the assumed distribution form, the distribution parameters cannot be accurately estimated, which is not conducive to estimating the posterior distribution of parameters, resulting in low accuracy of the assessment conclusions. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing technologies, this invention provides a probabilistic risk assessment system and visualization platform for heavy metals in traditional Chinese medicinal materials. It has the advantages of strong applicability and wide range of distribution assumptions, accurate and traceable assessment, and solves the problems of insufficient adaptability of traditional fitting methods to complex distribution assumptions and inaccurate conclusions due to limited distribution parameters.

[0006] (II) Technical Solution

[0007] To achieve the above objectives, the present invention provides the following technical solution: a probabilistic risk assessment system for heavy metals in Chinese medicinal materials, wherein the probabilistic risk assessment system for heavy metals in Chinese medicinal materials collects user instructions through a visualization platform to conduct the assessment process, and the probabilistic risk assessment system for heavy metals in Chinese medicinal materials includes a data identification module, an analysis and calculation module, and an assessment and control module;

[0008] The data identification module includes a data retrieval unit and a data identification unit. The data retrieval unit collects consumption datasets, heavy metal concentration datasets, and reference datasets through a network connection to a database, and transmits them to the data identification unit via the network. The data identification unit filters the consumption datasets and heavy metal concentration datasets according to user instructions, and analyzes to obtain the target medicinal material consumption characteristic dataset and the target medicinal material concentration characteristic dataset. The evaluation dataset consists of the target medicinal material consumption characteristic dataset, the target medicinal material concentration characteristic dataset, and the reference dataset. The data identification module transmits the data to the analysis and calculation module via the network.

[0009] The analysis and calculation module includes an exposure calculation unit and a probability risk calculation unit. The exposure calculation unit calculates the daily exposure index (EDI) of heavy metals in the target medicinal material using the Monte Carlo (MC) algorithm based on the assessment dataset, and transmits this data to the probability risk calculation unit via network. The probability risk calculation unit performs non-carcinogenic risk assessment and carcinogenic risk assessment based on the target medicinal material's daily heavy metal exposure index (EDI) and the assessment dataset, calculating the target medicinal material's hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) for a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t The data is transmitted to the evaluation and control module via the network, and the analysis and calculation module is connected to the evaluation and control module via the network.

[0010] The assessment and control module is based on the target medicinal material's daily heavy metal exposure index (EDI), target medicinal material hazard entropy (HQ), target medicinal material hazard index (HI), and the carcinogenic risk index (CR) of a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t By comparing with the reference dataset and based on the risk assessment results of all hazardous elements, a priority control list is determined. The assessment and control module connects to the assessment report unit via the network and outputs data based on the assessment results.

[0011] Preferably, the consumption dataset includes data such as the names of different traditional Chinese medicines, frequency of use, dosage, and duration of use, and the heavy metal concentration dataset includes data such as the names of heavy metals present in different traditional Chinese medicines and their relative concentrations.

[0012] Preferably, the data identification unit filters out the number of days of use and daily consumption data of the target medicinal material in the consumption data according to user instructions, and analyzes the consumption characteristics of the target medicinal material in the region.

[0013] Preferably, the data identification unit filters out the names and concentrations of heavy metals detected in the target medicinal materials in the heavy metal concentration dataset according to user instructions, and analyzes the concentration characteristics of the target medicinal materials.

[0014] Preferably, the exposure calculation unit uses the Monte Carlo (MC) algorithm, which uses 10,000 random samples to obtain the consumption of Chinese medicinal materials and an empirical distribution fitting method to obtain the concentration of Chinese medicinal materials, approximating the true data distribution, and calculates the daily exposure index (EDI) of heavy metals in the target medicinal material. The calculation formula is as follows:

[0015]

[0016] In the formula, EDI represents the daily exposure to heavy metals in the target medicinal material, and C i (mg kg⁻¹) represents the concentration of a certain hazardous element in the target medicinal material, AC (g / year) represents the annual consumption of the target medicinal material, and ED (years) represents the duration of exposure to the target medicinal material, BW (kg) represents the average weight of the exposed population, TA (days) represents the average exposure time or exposure period, and T (%) represents the transmission rate.

[0017] Preferably, the probability risk calculation unit performs a non-carcinogenic risk assessment based on the target medicinal material's daily heavy metal exposure index (EDI) and the assessment dataset, calculating the hazard entropy (HQ) and hazard index (HI) using the following formulas:

[0018]

[0019] In the formula, HQ represents the hazard entropy of a single heavy metal element in the target medicinal material, and RfD (mg kg) -1 d-1) is the oral reference dose, and SF represents the safety factor;

[0020]

[0021] In the formula, HI represents the combined hazard index of the target medicinal material. It represents the sum of the hazard entropy of multiple heavy metal elements.

[0022] Preferably, the probability risk calculation unit performs a carcinogenicity risk assessment based on the daily exposure index (EDI) of heavy metals in the target medicinal material and the assessment dataset, and calculates the carcinogenic risk index (CR) for a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t The calculation formula is as follows:

[0023] CR i =EDI×CSF

[0024] In the formula, CR i This represents the carcinogenic risk index of a single heavy metal element; CSF represents the oral carcinogenicity slope factor.

[0025]

[0026] In the formula, CR t This indicates the combined carcinogenic risk of all heavy metals. This represents the sum of the carcinogenic risk indices of multiple heavy metal elements.

[0027] Preferably, the assessment and control module uses the target medicinal material's daily heavy metal exposure index (EDI), hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) of a single heavy metal element as the basis for its assessment. i Combined with all heavy metals, the risk of cancer is CR t By comparing with the reference dataset and based on the risk assessment results of all hazardous elements, a priority control list is determined according to the degree of risk, thus clarifying the priority and direction of risk control.

[0028] Preferably, the assessment report unit, based on the assessment results and in conjunction with a specific assessment template in the system, generates corresponding daily heavy metal exposure index (EDI), hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) of individual heavy metal elements for the target medicinal material, based on the consumption frequency, dosage, duration of use, and concentration of heavy metals in the medicinal material. i Combined with all heavy metals, the risk of cancer is CR t Risk assessment report for the data.

[0029] Preferably, a visualization platform for heavy metal probability risk assessment of Chinese medicinal materials is provided, wherein the visualization platform includes a touch display panel and multiple heavy metal probability risk assessment systems for Chinese medicinal materials, and the multiple heavy metal probability risk assessment system modules are electrically connected to the touch display panel.

[0030] Compared with existing technologies, this invention provides a probabilistic risk assessment system and visualization platform for heavy metals in traditional Chinese medicinal materials, which has the following beneficial effects:

[0031] 1. This invention sets up a data retrieval unit and a data identification unit through a data identification module to collect and evaluate datasets. Based on user instructions, it filters and analyzes the target medicinal material consumption characteristic dataset and the target medicinal material concentration characteristic dataset. The analysis and calculation module sets up an exposure calculation unit and a probability risk calculation unit. The exposure calculation unit, based on the evaluation dataset, uses the Monte Carlo (MC) algorithm, employing 10,000 random samplings to obtain the consumption of medicinal materials and an empirical distribution fitting method to obtain the concentration of medicinal materials, approximating the true data distribution, and calculating the daily heavy metal exposure index (EDI) of the target medicinal materials. The distribution assumption has strong applicability and a wide range, enabling a comprehensive understanding of the medicinal material supply chain, in-depth analysis to promptly identify potential food safety risks, and more accurately assess the quality and safety of products at different stages. This improves the accuracy and timeliness of risk assessment, provides a scientific basis for enterprises to establish a more effective food safety management system, helps prevent potential crisis events, and ensures the safety and traceability of medicinal material products.

[0032] 2. This invention uses the Monte Carlo (MC) algorithm in the exposure calculation unit to calculate the daily exposure index (EDI) of heavy metals in the target medicinal materials, comprehensively grasping the risks in the Chinese medicinal material supply chain and improving the accuracy and comprehensiveness of the assessment. The probability risk calculation unit calculates the hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) of a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR tThis system automates the analysis and visualizes the results of the risk assessment of carcinogenicity and non-carcinogenicity of heavy metals in Chinese medicinal materials, reducing the workload of manual labor and improving the consistency and repeatability of subsequent assessments. The assessment and control module determines the priority control list based on the risk assessment level of hazardous elements, which helps to optimize resource allocation and risk management priorities. Combined with specific assessment templates in the system, it generates corresponding assessment reports, ensuring that the assessment is true, accurate and traceable. Attached Figure Description

[0033] Figure 1 This is a schematic diagram of the structural system of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] Please see Figure 1 A probabilistic risk assessment system for heavy metals in Chinese medicinal materials. The system collects user instructions through a visualization platform to conduct the assessment process. The system includes a data identification module, an analysis and calculation module, and an assessment and control module.

[0036] The data identification module includes a data retrieval unit and a data identification unit. The data retrieval unit collects consumption datasets, heavy metal concentration datasets, and reference datasets via a network connection to a database, and transmits them to the data identification unit via the network. The consumption dataset includes data such as the names, frequency of use, dosage, and duration of use of different traditional Chinese medicines. The heavy metal concentration dataset includes data such as the names and relative concentrations of heavy metals present in different traditional Chinese medicines. The integration of these two datasets provides data support for subsequent risk assessment. The data identification unit filters the consumption dataset and heavy metal concentration dataset according to user instructions, and analyzes the target medicinal material consumption characteristic dataset and target medicinal material concentration characteristic dataset. The data identification unit filters the number of days of use and daily consumption of target medicinal materials in the consumption dataset according to user instructions, and analyzes the consumption characteristics of target medicinal materials in the region. Through aggregation and processing, it can present key characteristics such as the average annual consumption days and average daily consumption of specific traditional Chinese medicines in the region. The data identification unit filters the names and concentrations of heavy metals detected in target medicinal materials in the heavy metal concentration dataset according to user instructions, and analyzes the concentration characteristics of target medicinal materials. These heavy metals may include common harmful substances such as lead, mercury, cadmium, copper, chromium, and arsenic. The system will calculate key statistical indicators of these heavy metal concentrations, including the 5%, 50%, and 95th percentiles and the average value, to fully reflect the distribution and concentration levels of different heavy metals in this type of Chinese medicinal material. The evaluation dataset consists of a target medicinal material consumption characteristic dataset, a target medicinal material concentration characteristic dataset, and a reference dataset. The data identification module transmits the data to the analysis and calculation module via the network.

[0037] The analysis and calculation module includes an exposure calculation unit and a probabilistic risk calculation unit. The exposure calculation unit calculates the daily heavy metal exposure index (EDI) of the target medicinal material using the Monte Carlo (MC) algorithm based on the assessment dataset, and transmits it to the probabilistic risk calculation unit via the network. The calculation formula is as follows:

[0038]

[0039] In the formula, EDI represents the daily exposure to heavy metals in the target medicinal material, and C i (mg kg⁻¹) represents the concentration of a certain hazardous element in the target medicinal material, AC (g / year) represents the annual consumption of the target medicinal material, and E D(Year) represents the exposure duration of the target medicinal material, BW (kg) represents the average weight of the exposed population, TA (days) represents the average exposure time or exposure period, and T (%) represents the transmission rate. When deterministic risk assessment is used to assess the associated risks with potential harmful substances, the interference, inaccuracy, and uncertainty of the results may increase. Using the MC algorithm, the daily exposure index (EDI) of heavy metals in the target medicinal material is calculated, providing a comprehensive understanding of the supply chain of Chinese medicinal materials. This enables the timely detection of potential food safety risks, more accurate assessment of the quality and safety of products at different stages, and helps prevent potential crisis events, ensuring the safety and traceability of Chinese medicinal material products.

[0040] The probabilistic risk calculation unit performs non-carcinogenic risk assessment and carcinogenic risk assessment based on the daily heavy metal exposure index (EDI) of the target medicinal material and the assessment dataset, and calculates the hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) of a single heavy metal element for the target medicinal material. i Combined with all heavy metals, the risk of cancer is CR t The result is transmitted to the assessment and control module via the network, and its calculation formula is as follows:

[0041]

[0042] In the formula, HQ represents the hazard entropy of a single heavy metal element in the target medicinal material, and RfD (mg kg) -1 d-1) is the oral reference dose, and SF represents the safety factor;

[0043]

[0044] In the formula, HI represents the combined hazard index of the target medicinal material. This represents the sum of the hazard entropies of multiple heavy metal elements;

[0045] CR i =EDI×CSF

[0046] In the formula, CR i This represents the carcinogenic risk index of a single heavy metal element; CSF represents the oral carcinogenicity slope factor.

[0047]

[0048] In the formula, CR t This indicates the combined carcinogenic risk of all heavy metals. It represents the sum of the carcinogenic risk indices of multiple heavy metal elements. Through algorithms, it automates the analysis and visualizes the results of the assessment of the carcinogenic and non-carcinogenic risks of heavy metals in Chinese medicinal materials, reduces the workload of manual labor, improves the consistency and repeatability of the assessment, and promotes the modernization of food safety and drug quality management.

[0049] The analysis and calculation module connects to the assessment and control module via network and calculates the daily heavy metal exposure index (EDI) of the target medicinal material, the hazard entropy (HQ) of the target medicinal material, the hazard index (HI) of the target medicinal material, and the carcinogenic risk index (CR) of a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t Transmitted to the assessment and control module;

[0050] The assessment and control module is based on the target medicinal material's daily heavy metal exposure index (EDI), hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) of a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t By comparing with a reference dataset and based on the risk assessment results of all hazardous elements, a priority control list is determined according to the degree of risk, clarifying the priority and direction of risk control. This provides decision-makers with clear priorities and directions for risk control, offering reasonable guidance and optimization solutions for risk management. The assessment and control module connects to the assessment reporting unit via a network. Based on the assessment results and specific assessment templates in the system, the assessment reporting unit generates corresponding daily heavy metal exposure index (EDI), hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) for individual heavy metal elements, taking into account the consumption frequency, dosage, duration of use, and heavy metal concentration of the target medicinal material. i Combined with all heavy metals, the risk of cancer is CR t The risk assessment report on the data helps decision-makers and relevant professionals to have a more comprehensive understanding of the potential risks of the Chinese medicinal material and to take corresponding measures.

[0051] A visualization platform for heavy metal probability risk assessment of Chinese medicinal materials is provided. The platform includes a touch display panel and multiple heavy metal probability risk assessment systems for Chinese medicinal materials. The modules of the multiple heavy metal probability risk assessment systems for Chinese medicinal materials are electrically connected to the touch display panel.

[0052] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A probabilistic risk assessment system for heavy metals in traditional Chinese medicinal materials, characterized in that: The Chinese medicinal materials heavy metal probabilistic risk assessment system collects user instructions through a visualization platform to conduct the assessment process. The Chinese medicinal materials heavy metal probabilistic risk assessment system includes a data identification module, an analysis and calculation module, and an assessment and control module. The data identification module includes a data retrieval unit and a data identification unit. The data retrieval unit collects consumption datasets, heavy metal concentration datasets, and reference datasets through a network connection to a database, and transmits them to the data identification unit via the network. The data identification unit filters the consumption datasets and heavy metal concentration datasets according to user instructions, and analyzes to obtain the target medicinal material consumption characteristic dataset and the target medicinal material concentration characteristic dataset. The evaluation dataset consists of the target medicinal material consumption characteristic dataset, the target medicinal material concentration characteristic dataset, and the reference dataset. The data identification module transmits the data to the analysis and calculation module via the network. The analysis and calculation module includes an exposure calculation unit and a probability risk calculation unit. The exposure calculation unit calculates the daily exposure index (EDI) of heavy metals in the target medicinal material using the Monte Carlo (MC) algorithm based on the assessment dataset, and transmits this data to the probability risk calculation unit via network. The probability risk calculation unit performs non-carcinogenic risk assessment and carcinogenic risk assessment based on the target medicinal material's daily heavy metal exposure index (EDI) and the assessment dataset, calculating the target medicinal material's hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) for a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t The data is transmitted to the evaluation and control module via the network, and the analysis and calculation module is connected to the evaluation and control module via the network. The assessment and control module is based on the target medicinal material's daily heavy metal exposure index (EDI), target medicinal material's hazard entropy (HQ), target medicinal material's hazard index (HI), and the carcinogenic risk index (CR) of a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t By comparing with the reference dataset and based on the risk assessment results of all hazardous elements, a priority control list is determined. The assessment and control module connects to the assessment report unit via the network and outputs data based on the assessment results.

2. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 1, characterized in that: The consumption dataset includes data such as the names of different Chinese medicines, frequency of use, dosage, and duration of use. The heavy metal concentration dataset includes data such as the names of heavy metals present in different Chinese medicines and their relative concentrations.

3. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 1, characterized in that: The data identification unit filters out the number of days of use and daily consumption data of the target medicinal materials in the consumption data set according to user instructions, and analyzes the consumption characteristics of the target medicinal materials in the region.

4. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 1, characterized in that: The data recognition unit filters out the names and concentrations of heavy metals detected in the target medicinal materials in the heavy metal concentration dataset according to user instructions, and analyzes the concentration characteristics of the target medicinal materials.

5. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 1, characterized in that: The exposure calculation unit uses the Monte Carlo (MC) algorithm, employing 10,000 random samplings to obtain the consumption of Chinese medicinal materials and an empirical distribution fitting method to obtain the concentration of Chinese medicinal materials, approximating the true data distribution, and calculating the daily heavy metal exposure index (EDI) of the target medicinal material. The calculation formula is as follows: In the formula, EDI represents the daily exposure to heavy metals in the target medicinal material, and C i (mg kg⁻¹) represents the concentration of a certain hazardous element in the target medicinal material, AC (g / year) represents the annual consumption of the target medicinal material, and E D (years) represents the duration of exposure to the target medicinal material, BW (kg) represents the average weight of the exposed population, TA (days) represents the average exposure time or exposure period, and T (%) represents the transmission rate.

6. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 5, characterized in that: The probabilistic risk calculation unit performs a non-carcinogenic risk assessment based on the target medicinal material's daily heavy metal exposure index (EDI) and the assessment dataset, calculating the hazard entropy (HQ) and hazard index (HI) using the following formulas: In the formula, HQ represents the hazard entropy of a single heavy metal element in the target medicinal material, and RfD (mg kg) -1 d-1) is the oral reference dose, and SF represents the safety factor; In the formula, HI represents the combined hazard index of the target medicinal material. It represents the sum of the hazard entropy of multiple heavy metal elements.

7. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 5, characterized in that: The probability risk calculation unit performs a carcinogenic risk assessment based on the daily heavy metal exposure index (EDI) of the target medicinal material and the evaluation dataset, and calculates the carcinogenic risk index (CR) of a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t The calculation formula is as follows: CR i =EDI×CSF In the formula, CR i This represents the carcinogenic risk index of a single heavy metal element; CSF represents the oral carcinogenicity slope factor. In the formula, CR t This indicates the combined carcinogenic risk of all heavy metals. This represents the sum of the carcinogenic risk indices of multiple heavy metal elements.

8. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 1, characterized in that: The assessment and control module is based on the target medicinal material's daily heavy metal exposure index (EDI), hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) of a single heavy metal element. i Combined with all heavy metals, the risk of cancer is CR t By comparing with the reference dataset and based on the risk assessment results of all hazardous elements, a priority control list is determined according to the degree of risk, thus clarifying the priority and direction of risk control.

9. The heavy metal probabilistic risk assessment system for traditional Chinese medicinal materials according to claim 8, characterized in that: Based on the assessment results and in conjunction with specific assessment templates within the system, the assessment reporting unit generates corresponding daily heavy metal exposure index (EDI), hazard entropy (HQ), hazard index (HI), and carcinogenic risk index (CR) for individual heavy metal elements in the target medicinal material, taking into account the consumption frequency, dosage, duration of use, and concentration of heavy metals in the medicinal material. i Combined with all heavy metals, the risk of cancer is CR t Risk assessment report for the data.

10. A visualization platform for heavy metal probabilistic risk assessment of traditional Chinese medicinal materials, characterized in that: The visualization platform for heavy metal probability risk assessment of Chinese medicinal materials includes a touch display panel and multiple heavy metal probability risk assessment systems for Chinese medicinal materials as described in any one of claims 1-9, wherein the multiple heavy metal probability risk assessment system modules for Chinese medicinal materials are electrically connected to the touch display panel.

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