A ganoderma lucidum spore powder production process quality management method and system

Abstract

This invention discloses a quality management method and system for the production process of Ganoderma lucidum spore powder, relating to the technical field of quality management in the production process of Ganoderma lucidum spore powder. The method includes: acquiring corresponding quality risk data for each batch of Ganoderma lucidum raw materials; determining, based on the quality risk data, whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk before entering the Ganoderma lucidum spore powder production process; and adjusting packaging process parameters based on the oxidation sensitivity risk before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process. This application can correlate the potential risks during the Ganoderma lucidum raw material cultivation stage with the quality stability of the final product during its shelf life, enabling early identification and targeted intervention of oxidation sensitivity risks in Ganoderma lucidum spore powder. This effectively solves the problem of "chronic" quality decline caused by changes in the inherent characteristics of raw materials, which traditional quality management methods cannot anticipate and address, thus improving the quality stability of the product throughout its shelf life.

Description

Technical Field

[0001] This application relates to the field of quality management technology in the production process of Ganoderma lucidum spore powder, and more specifically, to a method and system for quality management in the production process of Ganoderma lucidum spore powder. Background Technology

[0002] In the industrial production of Ganoderma lucidum spore powder, the current quality management system typically relies on rigorous monitoring of each production stage. Its monitoring and judgment rules are based on long-term accumulated production records. This system functions well in most cases, effectively ensuring the general quality and production stability of Ganoderma lucidum spore powder. However, some hidden quality problems, especially when the intrinsic properties of raw materials undergo subtle changes due to upstream factors, may lead to a decline in product quality later on, which traditional monitoring methods often struggle to detect in the early stages.

[0003] For example, when encountering abnormal weather conditions at a Ganoderma lucidum cultivation base, growers may fine-tune the environmental control strategies in the cultivation room, such as increasing ventilation time or adjusting light intensity. While such adjustments ensure the yield of Ganoderma lucidum and the content of conventional active ingredients, they may trigger subtle changes at the biochemical level. For instance, this could lead to a slight increase in the content of certain types of unsaturated fatty acids in the final harvested Ganoderma lucidum spore powder. These subtle differences at the biochemical level often exceed the coverage of routine testing items when raw materials are put into storage. Therefore, raw materials with such inherent biochemical differences will pass the storage inspection smoothly and enter the subsequent production process.

[0004] When these spore powders, containing trace amounts of unsaturated fatty acids, enter the cell wall breaking, drying, and packaging stages, their macroscopic physical properties and immediate physicochemical indicators (such as cell wall breakage rate, moisture content, and residual oxygen content in the packaging) all meet the standards, and the process monitoring system does not issue any abnormal alarms. However, it is precisely because of the slight increase in the unsaturated fatty acid content within the spore powder that the powder's own antioxidant capacity is somewhat weakened. Even if the packaging achieves the standard residual oxygen content through inert gas filling, for this batch of spore powder, the same residual oxygen content is sufficient to trigger an oxidation reaction faster than expected during the product's shelf life. This oxidation reaction is a slow, cumulative process, difficult to detect when the product first leaves the factory, but its effects will gradually become apparent over time.

[0005] Existing quality management methods focus on monitoring physical parameters during the production process and the immediate physicochemical indicators of the finished product. They lack the ability to deeply correlate environmental factors not routinely monitored during the raw material cultivation stage with potential changes in the intrinsic chemical stability of the final product during long-term storage. The system cannot anticipate the risk of "chronic" quality decline caused by minute changes in the inherent chemical properties of raw materials. The end result is that, in the latter part of the shelf life, the activity of the core active ingredient in this batch of product deteriorates faster than designed, potentially leading to reduced product efficacy. This hidden and delayed quality problem poses a serious challenge to traditional quality management systems.

[0006] To address the aforementioned issues, existing technologies urgently need improvement. Summary of the Invention

[0007] This application discloses a quality management method and system for the production process of Ganoderma lucidum spore powder, which aims to solve the problem that the existing quality management system for Ganoderma lucidum spore powder production is unable to detect potential quality decline risks in the early stage when the intrinsic properties of raw materials change subtly due to upstream factors, resulting in the product experiencing unexpected degradation of active ingredients in the later stages of its shelf life.

[0008] The technical solution of this application is as follows: In the first aspect, this application discloses a quality management method for the production process of Ganoderma lucidum spore powder, including: For each batch of Ganoderma lucidum raw materials, obtain the corresponding quality risk data; Before entering the Ganoderma lucidum spore powder production process, quality risk data is used to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk. When there is a risk of oxidation sensitivity, the packaging process parameters are adjusted according to the risk of oxidation sensitivity before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process. This ensures that the system packages the Ganoderma lucidum spore powder according to the adjusted packaging process parameters, thus ensuring that the packaged Ganoderma lucidum spore powder resists the corresponding quality risks during its shelf life.

[0009] Through this technical solution, this application can link the potential risks in the cultivation stage of Ganoderma lucidum raw materials with the quality stability of the final product during the shelf life, realize the early identification and targeted intervention of the oxidation sensitivity risk of Ganoderma lucidum spore powder, thereby effectively solving the problem of "chronic" quality decline caused by changes in the intrinsic characteristics of raw materials that traditional quality management methods cannot predict and deal with, and improve the quality stability of the product throughout the entire shelf life.

[0010] Furthermore, the steps for obtaining corresponding quality risk data for each batch of Ganoderma lucidum raw materials include: For each batch of Ganoderma lucidum raw materials, the following environmental data during the growth period are obtained in real time: temperature and humidity of the environment. When the system is detected adjusting environmental policies based on environmental data, obtain the environmental policy data. Environmental data and environmental strategy data constitute quality risk data.

[0011] This technical solution enables real-time monitoring of environmental and strategic data during Ganoderma lucidum growth, providing crucial early indicators for assessing subsequent oxidation sensitivity risks and thus identifying potential quality risks earlier.

[0012] Based on this, the steps for determining whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk based on quality risk data before entering the Ganoderma lucidum spore powder production process include: Before entering the Ganoderma lucidum spore powder production process, based on preset rules and the following quality risk data of Ganoderma lucidum raw materials: environmental data and environmental strategy data during the growth period, it is determined whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk. If environmental data shows that the temperature exceeds the set temperature and humidity for a continuous period of time, and environmental strategy data shows that the daily ventilation time increases by no less than the second set time for a continuous period of time within the first set time, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk.

[0013] This technical solution enables the quantitative assessment of whether Ganoderma lucidum raw materials have oxidation sensitivity risks based on specific environmental data and environmental strategy data, combined with preset rules, making risk assessment more objective and accurate.

[0014] In some preferred embodiments, the step of obtaining corresponding quality risk data for each batch of Ganoderma lucidum raw materials further includes: For each batch of Ganoderma lucidum raw materials, the intensity of ultraviolet light in the environment in which the Ganoderma lucidum was located during its growth period is obtained in real time. Before entering the Ganoderma lucidum spore powder production process, a set amount of Ganoderma lucidum raw materials are extracted as Ganoderma lucidum samples; Micro-stress response tests were conducted on Ganoderma lucidum samples, and the changes in absorbance and conductivity of the Ganoderma lucidum samples before and after the test were calculated. Ultraviolet band intensity, rate of change of absorbance in a set band, and rate of change of conductivity are quality risk data. Before entering the Ganoderma lucidum spore powder production process, the steps to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data include: Before entering the Ganoderma lucidum spore powder production process, based on the first preset rule and the following quality risk data of Ganoderma lucidum raw materials: temperature, humidity, ultraviolet band intensity, environmental strategy data, set band absorbance change rate and conductivity change rate of the environment in which Ganoderma lucidum is located during the growth period, it is determined whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk. If so, the type of oxidation sensitivity risk in the corresponding batch of Ganoderma lucidum raw materials will be determined based on the quality risk data.

[0015] This technical solution allows for a more comprehensive and detailed assessment of the oxidative sensitivity risk of Ganoderma lucidum raw materials by introducing deeper biological stress indicators such as ultraviolet intensity, absorbance change rate, and conductivity change rate, combined with various environmental data. It also helps to further differentiate risk types and provide a basis for subsequent precise intervention.

[0016] More specifically, the steps for determining the type of oxidation sensitivity risk present in a given batch of Ganoderma lucidum raw material based on quality risk data include: If the quality risk data shows that the temperature exceeds the set temperature and humidity for three consecutive time periods, and the environmental strategy data shows that the daily ventilation time increases by no less than the fifth time period for four consecutive time periods, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has a risk of high temperature and high humidity-ventilation adjustment stress oxidation sensitivity. If the quality risk data shows that the intensity of the ultraviolet band exceeds the preset threshold for six consecutive time periods and the humidity is as low as the first preset threshold, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has a high-intensity ultraviolet-low humidity stress oxidation sensitivity risk. When the quality risk data shows that the rate of change of absorbance in the set band is greater than the second preset threshold, it is determined that the corresponding batch of Ganoderma lucidum raw materials has a near-infrared tough oxidation sensitivity risk. When the quality risk data shows that the rate of change in electrical conductivity is greater than the third preset threshold, it is determined that the corresponding batch of Ganoderma lucidum raw materials has a risk of electrical conductivity toughness oxidation sensitivity.

[0017] This technical solution enables the identification of various specific oxidation-sensitive risk types based on different combinations of quality risk data, making risk identification more precise and providing more targeted guidance for subsequent packaging process adjustments.

[0018] Based on the above, the specific steps for adjusting packaging process parameters according to oxidation sensitivity risk include: For each batch of Ganoderma lucidum raw materials, quantifiable scores and weights are assigned to each type of oxidation sensitivity risk according to the second preset rule; Based on the quantifiable score and weight of each type of oxidation sensitivity risk, the oxidation sensitivity risk score of the corresponding batch of Ganoderma lucidum raw materials is calculated. Based on the oxidation sensitivity risk score, calculate the dynamic residual oxygen level that the corresponding batch of Ganoderma lucidum spore powder can withstand during packaging; The packaging process parameters for the corresponding batch of Ganoderma lucidum spore powder are adjusted according to the dynamic residual oxygen level.

[0019] This technical solution can quantify complex oxidation sensitivity risks into specific risk scores, and further convert them into tolerable dynamic residual oxygen levels. This allows for precise adjustment of packaging process parameters, ensuring that the packaging effect matches the actual oxidation sensitivity of Ganoderma lucidum spore powder, and effectively extending the product's shelf life.

[0020] As an optional approach, the steps for obtaining relevant quality risk data for each batch of Ganoderma lucidum raw materials also include: For each batch of Ganoderma lucidum raw materials, at the initial stage of Ganoderma lucidum strain inoculation, a set amount of Ganoderma lucidum mycelium or early spores are extracted as Ganoderma lucidum strain samples. Biosensitivity tests are performed on the Ganoderma lucidum strain samples, and the biosensitivity index of the Ganoderma lucidum strain samples is calculated. The biosensitivity index of the Ganoderma lucidum strain samples is defined as the first biosensitivity index of the corresponding batch of Ganoderma lucidum raw materials. During the growth period, real-time acquisition of microenvironmental data of the designated area for Ganoderma lucidum cultivation and video data of the first designated area for Ganoderma lucidum cultivation were performed. The first biological sensitivity index, microenvironment data, and video data are quality risk data.

[0021] This technical solution enables a more comprehensive assessment of the potential risks of Ganoderma lucidum raw materials from both biological and micro-environmental perspectives by incorporating the biosensitivity index, microenvironmental data, and video data of Ganoderma lucidum strains. This addresses the shortcomings of relying solely on macro-environmental data and further enhances the accuracy and depth of risk identification.

[0022] Furthermore, before entering the Ganoderma lucidum spore powder production process, the steps to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data include: Based on the following quality risk data: microenvironment data, video data, and the first biological sensitivity index, determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk; When microenvironmental data analysis determines that there are local microenvironmental abnormalities during the growth of Ganoderma lucidum; video data analysis determines that there are empirical human intervention events during the growth of Ganoderma lucidum; and / or, analysis based on the first biosensitivity index determines that there is a biosensitivity risk in the raw materials of Ganoderma lucidum, then the corresponding batch of Ganoderma lucidum raw materials is confirmed to have an oxidation sensitivity risk.

[0023] This technical solution enables a more comprehensive identification of potential oxidative sensitivity risks in Ganoderma lucidum raw materials during growth by integrating microenvironmental anomalies, human intervention events, and biological sensitivity indices. In particular, it can capture localized and human-induced risks that are difficult to detect using traditional methods.

[0024] Based on this, the steps for adjusting packaging process parameters according to oxidation sensitivity risk include: The first health index deduction value, the second health index deduction value, and / or the third health index deduction value corresponding to the local microenvironment abnormality event that leads to the risk of oxidation sensitivity in Ganoderma lucidum raw materials are calculated according to the third preset rule. The health index of the corresponding batch of Ganoderma lucidum raw materials is calculated based on the deduction values ​​of the first health index, the second health index, and / or the third health index. Based on the health index, adjust the packaging process parameters for the corresponding batches of Ganoderma lucidum spore powder.

[0025] This technical solution quantifies various events that lead to oxidative sensitivity risks into health index deduction values, and comprehensively calculates the health index of Ganoderma lucidum raw materials. This enables precise adjustment of packaging process parameters, ensuring that the packaging solution matches the actual health condition of the Ganoderma lucidum raw materials and effectively improving product quality stability.

[0026] Secondly, this application also discloses a quality management system for the production process of Ganoderma lucidum spore powder, including: The acquisition module is used to obtain corresponding quality risk data for each batch of Ganoderma lucidum raw materials. The judgment module is used to determine whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk based on quality risk data before entering the Ganoderma lucidum spore powder production process; The adjustment module is used to adjust the packaging process parameters according to the oxidation sensitivity risk before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process. This allows the system to package the Ganoderma lucidum spore powder according to the adjusted packaging process parameters, ensuring that the packaged Ganoderma lucidum spore powder resists the corresponding quality risks during its shelf life.

[0027] This application provides a system for quality management in the production process of Ganoderma lucidum spore powder. Through modular design, it enables the acquisition and judgment of quality risk data of Ganoderma lucidum raw materials and the adjustment of packaging process parameters. This effectively solves the problem of "chronic" quality decline caused by changes in the inherent characteristics of raw materials, which traditional quality management methods cannot predict and respond to, and improves the quality stability of the product throughout its shelf life.

[0028] Beneficial effects This application discloses a quality management method for the production process of Ganoderma lucidum spore powder. Before the spore powder enters the production process, it assesses the presence of oxidation sensitivity risks based on quality risk data of the cultivated batches of Ganoderma lucidum raw materials. If risks are identified, packaging process parameters are adjusted before the packaging process, thereby ensuring that the packaged Ganoderma lucidum spore powder can effectively resist corresponding quality risks during its shelf life. This method overcomes the limitations of existing technologies that rely solely on physical parameters of the production process and immediate physicochemical indicators of the finished product. It innovatively conducts a deep correlation analysis between changes in the intrinsic properties of Ganoderma lucidum raw materials, such as environmental factors and biological stress responses during the cultivation stage, and changes in the chemical stability of the final product during long-term storage. By identifying oxidation sensitivity risks of raw materials early and adjusting the packaging process accordingly, such as optimizing the residual oxygen content in the packaging, this application effectively solves the problem of "chronic" quality decline caused by minute changes in the intrinsic chemical properties of raw materials, which traditional methods cannot predict or address. It avoids the situation where the activity of core active ingredients decreases beyond expectations in the later stages of the product's shelf life, significantly improving the quality stability and efficacy persistence of Ganoderma lucidum spore powder throughout its entire shelf life. Attached Figure Description

[0029] Figure 1 A flowchart illustrating a quality management method for the production process of Ganoderma lucidum spore powder provided in this application.

[0030] Figure 2 This application provides a schematic diagram of the quality management system structure for the production process of Ganoderma lucidum spore powder.

[0031] Figure 2 In the diagram: 1 is the acquisition module; 2 is the judgment module; 3 is the adjustment module. Detailed Implementation

[0032] The technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0033] See Figure 1 This application proposes a quality management method for the production process of Ganoderma lucidum spore powder, including: S10. Obtain relevant quality risk data for each batch of Ganoderma lucidum raw materials. S20. Before entering the Ganoderma lucidum spore powder production process, determine whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk based on quality risk data; S30. When there is a risk of oxidation sensitivity, before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process, the packaging process parameters are adjusted according to the oxidation sensitivity risk, so that the system packages the Ganoderma lucidum spore powder according to the adjusted packaging process parameters, ensuring that the packaged Ganoderma lucidum spore powder resists the corresponding quality risks during the shelf life.

[0034] This application achieves early identification and prediction of oxidation sensitivity risks in Ganoderma lucidum spore powder by introducing the acquisition and analysis of quality risk data during the cultivation stage of Ganoderma lucidum raw materials. By adjusting packaging process parameters based on the identified oxidation sensitivity risks before the packaging process, the antioxidant capacity of Ganoderma lucidum spore powder during its shelf life can be effectively improved. This solves the hidden and delayed quality problems existing in traditional quality management systems, ensuring that the product maintains its expected efficacy and quality throughout its shelf life.

[0035] To better understand the quality management method for the production process of Ganoderma lucidum spore powder proposed in this application, some key terms involved will be explained below.

[0036] "Ganoderma lucidum raw materials" refers to the fruiting bodies of Ganoderma lucidum or its derivatives used to produce Ganoderma lucidum spore powder, and their quality directly affects the quality of the final product.

[0037] "Quality risk data" refers to various environmental, biological, or physicochemical parameters that may affect the intrinsic quality and oxidative stability of Ganoderma lucidum raw materials during their cultivation and growth. These data form the basis for determining whether Ganoderma lucidum raw materials have an oxidative sensitivity risk.

[0038] "Oxidation sensitivity risk" refers to the risk that Ganoderma lucidum spore powder is more prone to oxidation during storage and shelf life due to its inherent chemical properties, leading to a decline in quality.

[0039] "Packaging process parameters" refer to various technical indicators that can be adjusted during the packaging process of Ganoderma lucidum spore powder, such as nitrogen filling amount, packaging material type, sealing temperature, vacuum degree, etc. The adjustment of these parameters aims to optimize the packaging environment to resist the risk of oxidation.

[0040] "Shelf life" refers to the period during which Ganoderma lucidum spore powder products maintain their expected quality and efficacy under specific storage conditions.

[0041] The core of the quality management method for the production process of Ganoderma lucidum spore powder proposed in this application lies in the early identification and intervention of quality risks of Ganoderma lucidum raw materials.

[0042] Specifically, for each batch of Ganoderma lucidum raw materials, corresponding quality risk data needs to be obtained. This data can come from environmental monitoring, biological testing, or physicochemical analysis during the growth process of Ganoderma lucidum. For example, parameters such as temperature, humidity, and light intensity of the Ganoderma lucidum growth environment can be recorded regularly by hand. Alternatively, samples of the Ganoderma lucidum raw materials can be taken manually and sent to the laboratory for biological sensitivity testing or micro-stress response testing to obtain data such as its inherent biological sensitivity index, absorbance change rate, and conductivity change rate. This data is the basis for subsequent judgment on whether the Ganoderma lucidum raw materials have oxidative sensitivity risks.

[0043] Before entering the Ganoderma lucidum spore powder production process, it is necessary to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on the acquired quality risk data. This judgment process can be carried out manually based on experience. For example, experienced technicians can subjectively judge whether the batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on historical data, personal experience, and the quality risk data of the current batch. This judgment method relies on the professional knowledge and experience of the operators.

[0044] In practical applications, when an oxidation sensitivity risk is identified, the packaging process parameters need to be adjusted based on this risk before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process. For example, if a high oxidation sensitivity risk is identified in the Ganoderma lucidum raw material, packaging workers can be manually instructed to increase the nitrogen filling during packaging or to select packaging materials with better barrier properties. In this way, the system packages the Ganoderma lucidum spore powder according to the adjusted packaging process parameters to ensure that the packaged Ganoderma lucidum spore powder can resist the corresponding quality risks during its shelf life.

[0045] This application's solution proactively manages quality risks during the cultivation stage of Ganoderma lucidum raw materials, thereby enabling targeted optimization in the product packaging process to address potential oxidative sensitivity risks. Specifically, the method first acquires quality risk data for each batch of Ganoderma lucidum raw materials, focusing on factors that may affect their oxidative stability during growth. This data can be environmental, biological, or physicochemical, reflecting the various stresses experienced by the Ganoderma lucidum raw materials during growth and their inherent biological characteristics. For example, if the Ganoderma lucidum experienced high-temperature and high-humidity environmental stress during growth, or if the strain itself possesses high biological sensitivity, this information will be recorded as quality risk data. Before the Ganoderma lucidum spore powder enters the production process, this quality risk data is used to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidative sensitivity risk. This determination process is based on a comprehensive analysis of this data, aiming to identify batches more prone to oxidation reactions during the shelf life. For example, if the quality risk data shows that the Ganoderma lucidum raw materials experienced severe oxidative stress during growth, or have low inherent antioxidant capacity, they will be judged to have an oxidative sensitivity risk. Once an oxidation sensitivity risk is identified, this method adjusts the packaging process parameters based on the type and severity of the identified risk before the Ganoderma lucidum spore powder enters the packaging process. For example, for batches with a high oxidation sensitivity risk, the nitrogen filling amount during packaging can be adjusted, higher-quality barrier packaging materials can be selected, or a more stringent vacuum process can be adopted to minimize the oxygen content within the packaging, thereby slowing down the oxidation reaction. In this way, the system packages the Ganoderma lucidum spore powder according to the adjusted packaging process parameters, ensuring that the packaged Ganoderma lucidum spore powder can effectively resist the corresponding quality risks throughout its shelf life, maintaining the stability of its active ingredients and product efficacy.

[0046] The core innovation of this application lies in combining the quality risk data of Ganoderma lucidum raw material cultivation stage with the adjustment of packaging process parameters of the final product, thereby achieving early prediction and precise intervention of the oxidation sensitivity risk of Ganoderma lucidum spore powder.

[0047] This application addresses the hidden and delayed quality issues inherent in traditional methods by assessing the potential for oxidation sensitivity in Ganoderma lucidum raw materials based on quality risk data before the Ganoderma lucidum spore powder enters the production process, and then adjusting packaging process parameters accordingly. For example, by acquiring environmental and environmental strategy data during the growth period of Ganoderma lucidum, oxidation sensitivity risks caused by environmental stress can be identified; and by conducting micro-stress response tests on Ganoderma lucidum samples, its inherent oxidation sensitivity can be quantified. This forward-looking data analysis allows for effective intervention in potential oxidation risks during the packaging stage, ensuring that the Ganoderma lucidum spore powder maintains the activity of its core active ingredients and product efficacy throughout its shelf life. This closed-loop management from source to packaging significantly improves the overall quality stability and market competitiveness of Ganoderma lucidum spore powder.

[0048] This application further proposes the following steps for obtaining corresponding quality risk data for each batch of Ganoderma lucidum raw materials: For each batch of Ganoderma lucidum raw materials, the following environmental data during the growth period are obtained in real time: temperature and humidity of the environment. When the system is detected adjusting environmental policies based on environmental data, obtain the environmental policy data. Environmental data and environmental strategy data are the quality risk data mentioned above.

[0049] Specifically, real-time acquisition of environmental data during the growth period refers to the continuous monitoring and data collection of the ambient temperature and humidity of the Ganoderma lucidum growing environment through sensors deployed in the Ganoderma lucidum cultivation environment, such as temperature and humidity sensors. This environmental data can be recorded at preset time intervals, such as every minute, hour, or day, and stored in a data management system. The purpose is to comprehensively understand the external environmental conditions during the Ganoderma lucidum growth process, providing fundamental data for subsequent quality risk assessment.

[0050] Specifically, when the system detects adjustments to its environmental strategy based on environmental data, environmental strategy data is acquired. This can be understood as follows: during the cultivation of Ganoderma lucidum, there is typically an environmental control system that automatically or semi-automatically adjusts environmental parameters based on real-time monitored environmental data (such as temperature and humidity), for example, activating ventilation, humidification, or cooling equipment. Environmental strategy data refers to these records of adjustments made by the environmental control system based on the environmental data, such as ventilation duration, humidification level, and cooling amplitude. Its purpose is to record the external interventions and stress responses experienced by Ganoderma lucidum during its growth; these interventions themselves reflect environmental fluctuations and the potential impacts on the Ganoderma lucidum.

[0051] In practical applications, environmental data and environmental strategy data together constitute the aforementioned quality risk data. This means that direct environmental parameters such as temperature and humidity during the growth of Ganoderma lucidum, as well as strategic adjustments made to cope with changes in these environmental parameters, are considered important bases for assessing the quality risk of Ganoderma lucidum raw materials.

[0052] This application's solution, by acquiring real-time environmental and environmental strategy data during Ganoderma lucidum growth, comprehensively and dynamically reflects the microenvironment in which Ganoderma lucidum grows and the external interventions it receives. Environmental data directly reveals the temperature and humidity conditions experienced by Ganoderma lucidum, which directly affect its physiological metabolism, accumulation of active substances, and antioxidant capacity. For example, prolonged exposure to high temperature and humidity may increase oxidative stress within Ganoderma lucidum. Simultaneously, environmental strategy data records the adjustments made by the system to maintain a suitable growth environment; these adjustments indirectly reflect the degree of environmental fluctuation and the level of stress that Ganoderma lucidum may experience. Because these data can meticulously depict the environmental stress and response during Ganoderma lucidum growth, they provide a more accurate and comprehensive basis for subsequently assessing whether Ganoderma lucidum raw materials have an oxidative sensitivity risk.

[0053] Through the above technical solution, this application can obtain more refined and comprehensive quality risk data for Ganoderma lucidum raw materials. Compared with methods that rely solely on final product testing or limited sampling testing, this solution achieves quality traceability and risk early warning throughout the entire Ganoderma lucidum growth process by real-time and continuous monitoring of environmental and environmental strategy data during Ganoderma lucidum growth. This allows for a more accurate assessment of the oxidation sensitivity risk of Ganoderma lucidum raw materials based on richer and more timely data before entering the Ganoderma lucidum spore powder production process. This effectively improves the refinement level of quality management and risk control capabilities in the Ganoderma lucidum spore powder production process, ensuring the quality stability of the final product.

[0054] In this regard, this application further proposes a step to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data before entering the Ganoderma lucidum spore powder production process, including: Before entering the Ganoderma lucidum spore powder production process, based on preset rules and the following quality risk data of Ganoderma lucidum raw materials: environmental data and environmental strategy data during the growth period, it is determined whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk. If environmental data shows that the temperature exceeds the set temperature and humidity for a continuous period of time, and environmental strategy data shows that the daily ventilation time increases by no less than the second set time for a continuous period of time within the first set time, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk.

[0055] Specifically, the aforementioned preset rules refer to a set of predefined logical judgment conditions used to comprehensively analyze environmental data and environmental strategy data during the growth of Ganoderma lucidum raw materials to identify potential oxidative sensitivity risks. These rules can be established and optimized based on expert experience, historical data analysis, or machine learning models. Environmental data can be understood as real-time monitoring parameters in the Ganoderma lucidum growth environment, such as temperature and humidity. Environmental strategy data refers to the control measures taken by the system based on changes in environmental data, such as adjusting ventilation duration. In practical applications, the key to determining whether Ganoderma lucidum raw materials have oxidative sensitivity risks lies in the comprehensive assessment of specific environmental conditions and system responses. For example, when environmental data shows that the temperature continuously exceeds the set temperature and humidity for a set period of time, it indicates that the Ganoderma lucidum growth environment may be under high temperature and high humidity stress. Furthermore, if environmental strategy data shows that the daily ventilation duration continuously increases by no less than the second set period within the first set period of time, this usually means that the system is actively coping with the high temperature and high humidity environment by increasing ventilation to reduce environmental pressure. This continuous high temperature and high humidity environment, and the frequent or prolonged ventilation adjustments made by the system to alleviate this pressure, may lead to changes in the internal physiological metabolism of Ganoderma lucidum, thereby increasing its oxidative sensitivity. Therefore, when the above conditions are met simultaneously, it can be determined that the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk.

[0056] This application's solution addresses the difficulty of accurately assessing the oxidative sensitivity risk of Ganoderma lucidum raw materials by introducing specific preset rules and quantified judgment conditions. Specifically, when environmental data shows that the temperature and humidity continuously exceed set limits within a set time period, it indicates that the Ganoderma lucidum's growth environment is under sustained high-temperature and high-humidity stress. This environmental condition accelerates the physiological metabolism of Ganoderma lucidum, increases the production of reactive oxygen species, and thus raises its oxidative stress level. Furthermore, when environmental strategy data shows that the daily ventilation duration continuously increases by at least a second set time within a first set time period, this reflects continuous intervention by the system to cope with the high-temperature and high-humidity environment. Although ventilation aims to improve the environment, prolonged or high-intensity ventilation adjustments themselves may cause additional physical stress to Ganoderma lucidum, further exacerbating its oxidative sensitivity. By using these specific environmental parameter changes and system responses as judgment criteria, this application can more accurately identify batches of Ganoderma lucidum raw materials whose oxidative sensitivity has increased due to environmental stress and coping strategies, thus providing a reliable basis for subsequent packaging process adjustments.

[0057] Through the above technical solution, this application enables early and accurate identification of the oxidation sensitivity risk of Ganoderma lucidum raw materials. Compared to simply obtaining environmental data, this application significantly improves the accuracy and reliability of the judgment by combining specific environmental thresholds and system response strategies (such as increasing ventilation time) as the basis for judgment. This quantitative judgment method based on preset rules avoids the bias of subjective judgment and ensures that only batches of Ganoderma lucidum raw materials with genuine oxidation sensitivity risk are identified, thereby more effectively guiding the adjustment of subsequent packaging processes. Therefore, this application enables refined management of the quality risk of Ganoderma lucidum spore powder from the source, ensuring that the packaged product better resists the oxidation risk caused by growth environment stress during its shelf life, improving the overall product quality and market competitiveness.

[0058] This application further proposes a more refined quality management method for the production process of Ganoderma lucidum spore powder. By introducing more dimensions of quality risk data, it can further determine the types of oxidation sensitivity risks present in Ganoderma lucidum raw materials, thereby providing a more targeted basis for subsequent packaging process adjustments.

[0059] Specifically, the steps for obtaining relevant quality risk data for each batch of Ganoderma lucidum raw materials also include: For each batch of Ganoderma lucidum raw materials, the intensity of ultraviolet light in the environment in which the Ganoderma lucidum was located during its growth period is obtained in real time. Before entering the Ganoderma lucidum spore powder production process, a set amount of Ganoderma lucidum raw materials are extracted as Ganoderma lucidum samples; Micro-stress response tests were conducted on Ganoderma lucidum samples, and the changes in absorbance and conductivity of the Ganoderma lucidum samples before and after the test were calculated. Ultraviolet band intensity, rate of change of absorbance in a set band, and rate of change of conductivity are quality risk data. Before entering the Ganoderma lucidum spore powder production process, the steps to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data include: Before entering the Ganoderma lucidum spore powder production process, based on the first preset rule and the following quality risk data of Ganoderma lucidum raw materials: temperature, humidity, ultraviolet band intensity, environmental strategy data, set band absorbance change rate and conductivity change rate of the environment in which Ganoderma lucidum is located during the growth period, it is determined whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk. If so, the type of oxidation sensitivity risk in the corresponding batch of Ganoderma lucidum raw materials will be determined based on the quality risk data.

[0060] Among these, real-time acquisition of the ultraviolet (UV) intensity of the environment in which Ganoderma lucidum grows refers to the continuous monitoring and recording of the radiation intensity of specific UV bands (such as UVA and UVB) through UV sensors deployed in the Ganoderma lucidum cultivation environment. UV radiation is one of the important environmental factors causing oxidative stress in organisms, and its intensity changes directly affect the physiological state and antioxidant capacity of Ganoderma lucidum cells.

[0061] Furthermore, before entering the Ganoderma lucidum spore powder production process, a predetermined amount of Ganoderma lucidum raw material is extracted as a Ganoderma lucidum sample to directly detect its physiological and biochemical indicators. A Ganoderma lucidum sample refers to a representative small portion randomly or according to predetermined rules extracted from the Ganoderma lucidum raw material to be processed, used for laboratory analysis.

[0062] A micro-stress response test was conducted on Ganoderma lucidum samples, calculating the rate of change in absorbance and conductivity at a set wavelength before and after the test. This aimed to assess the response of Ganoderma lucidum raw materials to specific micro-stressors. The micro-stress response test simulates minor adverse conditions that Ganoderma lucidum may encounter during growth or storage, such as mild oxidant exposure or changes in osmotic pressure. The rate of change in absorbance at a set wavelength reflects changes in the redox state of certain pigments or metabolites within Ganoderma lucidum cells, such as changes in the content or activity of antioxidants like carotenoids and polyphenols. This indirectly assesses the antioxidant capacity or degree of oxidative damage of Ganoderma lucidum. The rate of change in conductivity reflects the integrity and permeability of the Ganoderma lucidum cell membrane. When the cell membrane is damaged, intracellular electrolytes leak out, leading to an increase in solution conductivity. This aims to assess the degree of stress damage to Ganoderma lucidum cells.

[0063] Therefore, the intensity of ultraviolet band, the rate of change of absorbance of the set band, and the rate of change of conductivity are incorporated into the quality risk data, which together with the original environmental data (temperature, humidity) and environmental strategy data constitute a more comprehensive basis for risk assessment.

[0064] Before entering the Ganoderma lucidum spore powder production process, based on the first preset rule and all the aforementioned quality risk data (including temperature, humidity, ultraviolet intensity, environmental strategy data, absorbance change rate, and conductivity change rate of the environment in which the Ganoderma lucidum was grown), it is determined whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risks. The first preset rule can be a series of logical judgment conditions, threshold settings, or a risk assessment model based on a machine learning model. Its purpose is to comprehensively analyze multi-source data and improve the accuracy of risk judgment.

[0065] More importantly, if an oxidative sensitivity risk is identified, the system can further determine the type of oxidative sensitivity risk present in the corresponding batch of Ganoderma lucidum raw materials based on quality risk data. This means that the system can not only identify the existence of a risk, but also its specific nature, such as whether it is oxidative stress caused by high temperature and humidity, or oxidative stress caused by ultraviolet radiation or cell damage.

[0066] This application's solution introduces more biologically significant indicators such as ultraviolet intensity, absorbance change rate, and conductivity change rate as quality risk data. Combined with existing environmental and environmental strategy data, it constructs a multi-dimensional and more comprehensive risk assessment system. These newly added indicators can directly or indirectly reflect the various stresses and physiological responses experienced by Ganoderma lucidum raw materials during growth, thus more accurately capturing potential oxidative sensitivity. For example, high ultraviolet intensity may lead to photo-oxidative damage, while absorbance change rate and conductivity change rate can directly quantify the stress response and damage degree of Ganoderma lucidum cells. By comprehensively analyzing these data and judging according to the first preset rule, it is possible not only to identify whether Ganoderma lucidum raw materials have oxidative sensitivity risks, but also to further distinguish the specific types of oxidative sensitivity risks. This categorized risk identification allows for more targeted adjustments to subsequent packaging process parameters. For example, for Ganoderma lucidum spore powder with photo-oxidative sensitivity risks, stronger light-blocking packaging materials or nitrogen-filled packaging can be used; for oxidative sensitivity risks caused by cell damage, more stringent oxygen-barrier packaging may be required.

[0067] Through the aforementioned technical solution, this application can more comprehensively and accurately assess the oxidation sensitivity risk of Ganoderma lucidum raw materials and identify specific risk types. Compared to relying solely on macroscopic environmental data for judgment, this solution significantly improves the depth and breadth of risk identification by introducing microscopic physiological and biochemical indicators such as ultraviolet band intensity, set band absorbance change rate, and conductivity change rate. This categorized risk identification capability allows subsequent packaging process adjustments to shift from a "one-size-fits-all" general strategy to a "targeted" refined management approach, thereby ensuring that Ganoderma lucidum spore powder can more effectively resist specific types of quality risks after packaging, significantly extend its shelf life, and ultimately improve the overall quality and market competitiveness of the product.

[0068] This application further proposes steps for determining the type of oxidation sensitivity risk present in corresponding batches of Ganoderma lucidum raw materials based on quality risk data, including: If the quality risk data shows that the temperature exceeds the set temperature and humidity for three consecutive time periods, and the environmental strategy data shows that the daily ventilation time increases by no less than the fifth time period for four consecutive time periods, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has a risk of high temperature and high humidity-ventilation adjustment stress oxidation sensitivity. If the quality risk data shows that the intensity of the ultraviolet band exceeds the preset threshold for six consecutive time periods and the humidity is as low as the first preset threshold, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has a high-intensity ultraviolet-low humidity stress oxidation sensitivity risk. When the quality risk data shows that the rate of change of absorbance in the set band is greater than the second preset threshold, it is determined that the corresponding batch of Ganoderma lucidum raw materials has a near-infrared tough oxidation sensitivity risk. When the quality risk data shows that the rate of change in electrical conductivity is greater than the third preset threshold, it is determined that the corresponding batch of Ganoderma lucidum raw materials has a risk of electrical conductivity toughness oxidation sensitivity.

[0069] Specifically, the aforementioned high temperature and humidity-ventilation adjustment stress oxidative sensitivity risk refers to the stress response of Ganoderma lucidum raw materials during their growth period due to prolonged exposure to high temperature and humidity, coupled with frequent or prolonged increases in ventilation by the system to cope with this environment, leading to increased oxidative sensitivity. The third set time, set temperature, set humidity, fourth set time, and fifth set time can all be preset based on the biological characteristics of Ganoderma lucidum and actual cultivation experience to precisely define the duration and intensity of high temperature and humidity stress.

[0070] The aforementioned high-intensity ultraviolet radiation-low humidity stress oxidative sensitivity risk refers to the possibility that prolonged exposure of Ganoderma lucidum raw materials to high-intensity ultraviolet radiation during growth, coupled with a low humidity environment, may damage Ganoderma lucidum cells and accelerate their oxidation process. The sixth preset time, preset threshold, and first preset threshold can be set according to the degree of ultraviolet radiation's impact on Ganoderma lucidum and the suitable humidity range.

[0071] The aforementioned near-infrared toughness oxidation sensitivity risk refers to the situation where, after conducting a micro-stress response test on a Ganoderma lucidum sample, the rate of change in absorbance at a set wavelength exceeds a second preset threshold. An abnormally high rate of change in absorbance may indicate changes in the pigments or metabolites within the Ganoderma lucidum cells when subjected to stress, reflecting insufficient toughness of Ganoderma lucidum to near-infrared light or other stressors, thus exhibiting high oxidation sensitivity.

[0072] The aforementioned conductivity resilience and oxidation sensitivity risk refers to the rate of change in conductivity exceeding a third preset threshold after micro-stress response testing of Ganoderma lucidum samples. Changes in conductivity are typically associated with impaired cell membrane integrity. When the cell membrane is damaged, intracellular electrolytes leak out, leading to increased conductivity. This indicates that Ganoderma lucidum cells have a decreased ability to resist damage under stress conditions, and their oxidation sensitivity increases accordingly.

[0073] This application's solution establishes a multi-dimensional and refined mechanism for identifying oxidation sensitivity risk types, refining the simple judgment of "whether oxidation sensitivity risk exists" into the identification of specific risk types. This allows for the categorization of Ganoderma lucidum raw materials based on specific environmental stresses or physiological changes experienced during growth, such as high temperature and humidity-ventilation adjustment stress oxidation sensitivity risk, high intensity ultraviolet radiation-low humidity stress oxidation sensitivity risk, near-infrared toughness oxidation sensitivity risk, or conductivity toughness oxidation sensitivity risk. This classification mechanism makes the assessment of oxidation sensitivity risk more comprehensive and in-depth, providing a solid data foundation and decision-making basis for subsequent targeted adjustments to packaging processes.

[0074] Through the aforementioned technical solution, this application can accurately identify various types of oxidative sensitivity risks faced by Ganoderma lucidum raw materials based on specific quality risk data. This detailed risk classification allows for more targeted adjustments to subsequent packaging process parameters. For example, for Ganoderma lucidum spore powder with oxidative sensitivity risks due to high temperature and humidity-ventilation adjustment stress, stricter moisture-proof and antioxidant packaging measures can be adopted; for Ganoderma lucidum spore powder with oxidative sensitivity risks due to high intensity ultraviolet radiation-low humidity stress, it may be necessary to strengthen the packaging design for ultraviolet protection and moisturizing performance. Compared to simply determining whether oxidative sensitivity risks exist, this application significantly improves the refinement and effectiveness of quality management methods by clearly defining risk types, thereby more accurately ensuring the quality stability of Ganoderma lucidum spore powder during its shelf life and reducing the risk of quality deterioration caused by oxidative sensitivity.

[0075] This application further proposes a more refined method for adjusting packaging process parameters. By quantitatively assessing the risk of oxidation sensitivity and then calculating the dynamic residual oxygen content, the packaging process parameters can be precisely adjusted.

[0076] According to the above-mentioned quality management method for the production process of Ganoderma lucidum spore powder, the specific steps for adjusting the packaging process parameters based on the aforementioned oxidation sensitivity risk include: For each batch of Ganoderma lucidum raw materials, quantifiable scores and weights are assigned to each type of oxidation sensitivity risk according to the second preset rule; Based on the quantifiable score and weight of each type of oxidation sensitivity risk, the oxidation sensitivity risk score of the corresponding batch of Ganoderma lucidum raw materials is calculated. Based on the oxidation sensitivity risk score, calculate the dynamic residual oxygen level that the corresponding batch of Ganoderma lucidum spore powder can withstand during packaging; The packaging process parameters for the corresponding batch of Ganoderma lucidum spore powder are adjusted according to the dynamic residual oxygen level.

[0077] Specifically, the second pre-defined rule can be understood as a set of criteria used to assess and quantify the impact of different types of oxidation sensitivity risks. This rule can be established based on historical data, expert experience, experimental results, or industry standards. It aims to assign a quantifiable score to each identified type of oxidation sensitivity risk (e.g., high temperature and humidity-ventilation adjustment stress oxidation sensitivity risk, high intensity ultraviolet radiation-low humidity stress oxidation sensitivity risk, near-infrared toughness oxidation sensitivity risk, electrical conductivity toughness oxidation sensitivity risk, etc.) to reflect its potential impact on the oxidative stability of Ganoderma lucidum spore powder. Simultaneously, a weight can be assigned to each risk type to reflect its relative importance in the overall oxidation sensitivity risk assessment. For example, some risk types may have a more direct or significant impact on product quality and therefore will be assigned a higher weight.

[0078] After obtaining the quantifiable score and weight for each type of oxidation sensitivity risk, the oxidation sensitivity risk score for the corresponding batch of Ganoderma lucidum raw materials can be calculated. This oxidation sensitivity risk score is a comprehensive indicator used to quantify the overall degree of oxidation sensitivity faced by the current batch of Ganoderma lucidum raw materials. It can be calculated by multiplying the score of each risk type by its corresponding weight and then summing the results of all risk types, or by using other multi-factor comprehensive assessment models. The higher the score, the stronger the oxidation sensitivity of the batch of Ganoderma lucidum raw materials, and the higher the requirements for the packaging environment.

[0079] Furthermore, based on the calculated oxidation sensitivity risk score, the dynamic residual oxygen level that the corresponding batch of Ganoderma lucidum spore powder can withstand during packaging can be calculated. Dynamic residual oxygen level refers to the maximum allowable oxygen content inside the packaging of Ganoderma lucidum spore powder throughout its entire shelf life, ensuring that product quality is not affected by oxidation. This dynamic residual oxygen level is not a fixed value but is dynamically adjusted according to the actual oxidation sensitivity risk score of the Ganoderma lucidum raw material. For example, the higher the oxidation sensitivity risk score, the lower the required dynamic residual oxygen level inside the packaging is to provide stronger oxidation protection. This calculation can be based on a pre-defined mathematical model or lookup table that establishes a mapping relationship between the oxidation sensitivity risk score and the corresponding dynamic residual oxygen level.

[0080] Therefore, based on the calculated dynamic residual oxygen level, the packaging process parameters for the corresponding batches of Ganoderma lucidum spore powder can be adjusted. These packaging process parameters may include, but are not limited to: the selection of packaging materials (e.g., selecting packaging films with different barrier properties), the gas concentration and volume during nitrogen or inert gas filling, the vacuum level of vacuum packaging, sealing temperature and time, and the control of oxygen concentration in the packaging environment. By using the dynamic residual oxygen level as a target value, the system can automatically or manually adjust the above packaging process parameters to ensure that the residual oxygen level inside the packaged Ganoderma lucidum spore powder meets or falls below the requirement of this dynamic residual oxygen level, thereby effectively mitigating corresponding quality risks.

[0081] This application's solution achieves a refined assessment of different oxidation sensitivity risk types by introducing quantifiable scores and weights. This quantification mechanism transforms the originally qualitative risk assessment into a quantitative risk score, thereby more accurately reflecting the overall oxidation sensitivity of Ganoderma lucidum raw materials. Based on this oxidation sensitivity risk score, the dynamic residual oxygen level that can be withstood during packaging is further calculated, providing a clear and operable quantitative target for adjusting packaging process parameters. It is precisely because of this logical progression from risk identification to risk quantification, and then to the determination of the target residual oxygen level, that the adjustment of packaging process parameters is no longer a rough, empirical judgment, but a precise control based on data and quantitative indicators. For example, when the oxidation sensitivity risk score is high, the system will calculate a lower dynamic residual oxygen level, thereby prompting the packaging system to adopt stricter packaging conditions (such as higher vacuum levels, purer inert gas filling, or packaging materials with higher barrier properties) to ensure that the Ganoderma lucidum spore powder receives sufficient oxidative protection throughout its shelf life.

[0082] Through the aforementioned technical solution, this application quantifies the oxidation sensitivity risk of Ganoderma lucidum raw materials and transforms it into an operable dynamic residual oxygen target, thereby achieving precise and intelligent adjustment of packaging process parameters. Compared to general adjustments based solely on risk type, this solution provides customized packaging solutions based on the severity and type of risk, effectively avoiding over-packaging or under-packaging. This not only maximizes the shelf life of Ganoderma lucidum spore powder, maintaining its active ingredients and quality, but also reduces production costs, enhances product competitiveness, and provides a more scientific and efficient means for the quality management of Ganoderma lucidum spore powder.

[0083] This application further proposes that the steps for obtaining corresponding quality risk data for each batch of Ganoderma lucidum raw materials include: For each batch of Ganoderma lucidum raw materials, at the initial stage of Ganoderma lucidum strain inoculation, a set amount of Ganoderma lucidum mycelium or early spores are extracted as Ganoderma lucidum strain samples. Biosensitivity tests are performed on the Ganoderma lucidum strain samples, and the biosensitivity index of the Ganoderma lucidum strain samples is calculated. The biosensitivity index of the Ganoderma lucidum strain samples is defined as the first biosensitivity index of the corresponding batch of Ganoderma lucidum raw materials. During the growth period, real-time acquisition of microenvironmental data of the designated area for Ganoderma lucidum cultivation and video data of the first designated area for Ganoderma lucidum cultivation were performed. The first biological sensitivity index, microenvironment data, and video data are quality risk data.

[0084] Specifically, in the early stages of Ganoderma lucidum strain inoculation, a predetermined amount of Ganoderma lucidum mycelium or early spores can be extracted as a sample. This "predetermined amount" can be determined based on actual testing needs and the growth characteristics of the Ganoderma lucidum strain. For example, a certain weight or volume of mycelium or a certain number of early spores can be extracted. The purpose is to obtain a representative biological sample for subsequent biosensitivity testing.

[0085] The biosensitivity test on Ganoderma lucidum strain samples aims to assess the intrinsic sensitivity of each batch of Ganoderma lucidum strains to specific stressors (such as oxidative stress). This test may include, but is not limited to, exposure to simulated oxidative environments, detection of cell viability, antioxidant enzyme activity, or membrane damage levels, and the calculation of a biosensitivity index based on the test results. This biosensitivity index is defined as the first biosensitivity index of the corresponding batch of Ganoderma lucidum raw materials, and its purpose is to quantify the inherent biosensitivity of Ganoderma lucidum strains as an important basis for assessing their oxidative sensitivity risk.

[0086] In practical applications, during the growth of Ganoderma lucidum, real-time acquisition of microenvironmental data and video data of the designated cultivation area is conducted. Microenvironmental data refers to localized, minute environmental parameters within the cultivation area, such as temperature, humidity, light intensity, and carbon dioxide concentration at specific locations. This data can reflect localized anomalies that may be missed by macro-environmental monitoring. Video data records the growth status of Ganoderma lucidum, the occurrence of pests and diseases, and human intervention through images or videos. Its purpose is to use visual information to assist in determining whether there are abnormal stress events or risks of human intervention. The first biological sensitivity index, microenvironmental data, and video data together constitute a more comprehensive quality risk data set.

[0087] This application's approach introduces a first biosensitivity index, microenvironmental data, and video data as quality risk data, enabling the assessment of oxidative sensitivity risk in Ganoderma lucidum raw materials to extend beyond macro-environmental factors. The first biosensitivity index directly reflects the intrinsic biological characteristics of the Ganoderma lucidum strain and its sensitivity to external stresses, thus identifying potential oxidative sensitivity risks at the genetic or physiological level. Microenvironmental data can capture subtle fluctuations or anomalies in the local environment within the cultivation area, such as poor ventilation or excessively high local humidity. These local anomalies may lead to stress responses in specific areas of the Ganoderma lucidum, which are often difficult to reflect in macro-environmental data. Video data provides intuitive visual information and can be used to identify visible risk events such as improper human handling, pest and disease infestation, and abnormal growth, which may also induce oxidative stress in Ganoderma lucidum. It is precisely the introduction of these multi-dimensional and more refined data that makes the identification of oxidative sensitivity risk in Ganoderma lucidum raw materials more comprehensive and in-depth.

[0088] The aforementioned technical solution significantly improves the accuracy and comprehensiveness of quality risk assessment during the production of Ganoderma lucidum spore powder. This solution not only identifies oxidation sensitivity risks caused by changes in the macro-environment but also reveals potential risks arising from the inherent biological sensitivity of Ganoderma lucidum strains, abnormalities in the local microenvironment within the cultivation area, and human intervention. This allows for a more refined and multi-dimensional assessment of the oxidation sensitivity risk of Ganoderma lucidum raw materials, providing a more precise basis for adjusting subsequent packaging process parameters. Compared to relying solely on environmental data, the solution presented in this application can identify potential quality problems earlier and more comprehensively, effectively reducing the risk of quality deterioration of Ganoderma lucidum spore powder during its shelf life due to insufficient risk assessment, thereby ensuring the long-term stability of the product and protecting consumer rights.

[0089] This application further proposes a more refined judgment method, which aims to accurately identify the oxidative sensitivity risk of Ganoderma lucidum raw materials through comprehensive analysis of microenvironment data, video data, and the first biological sensitivity index.

[0090] In some embodiments of this application, the step of determining whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data before entering the Ganoderma lucidum spore powder production process includes: Based on the following quality risk data: microenvironment data, video data, and the first biological sensitivity index, determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk; When microenvironmental data analysis determines that there are local microenvironmental abnormalities during the growth of Ganoderma lucidum; video data analysis determines that there are empirical human intervention events during the growth of Ganoderma lucidum; and / or, analysis based on the first biosensitivity index determines that there is a biosensitivity risk in the raw materials of Ganoderma lucidum, then the corresponding batch of Ganoderma lucidum raw materials is confirmed to have an oxidation sensitivity risk.

[0091] Specifically, microenvironment data can be understood as local environmental parameters within the designated area for Ganoderma lucidum cultivation, such as local temperature, local humidity, local light intensity, and local CO2 concentration. These data reflect subtle changes in the microenvironment for Ganoderma lucidum growth. Video data refers to images or video streams collected in real-time or at set intervals by devices such as cameras installed in the first designated area for Ganoderma lucidum cultivation. This data is used to record the macroscopic state of Ganoderma lucidum growth and human intervention. The first biological sensitivity index is a quantitative indicator obtained by conducting biological sensitivity tests on Ganoderma lucidum mycelium or early spores at the initial stage of Ganoderma lucidum strain inoculation. This index reflects the inherent sensitivity of the Ganoderma lucidum strain to changes in the external environment. Among these, local microenvironmental anomalies refer to situations where the microenvironmental data analysis results show that local environmental parameters within the designated area for Ganoderma lucidum cultivation deviate from the preset normal range or fluctuation pattern within a specific time period, such as a sudden rise or fall in local temperature, or abnormally high or low local humidity. Empirical human intervention events refer to non-standardized, experience-based human interventions identified through video data analysis during the growth of Ganoderma lucidum. Examples include improper ventilation, watering, and harvesting. These actions may potentially impact the physiological state of the Ganoderma lucidum. Biosensitivity risk refers to the determination, based on the first biosensitivity index analysis, that the strains of a particular batch of Ganoderma lucidum raw materials have a high sensitivity to specific environmental stimuli or stressors, making them more prone to oxidative stress responses during subsequent growth or processing.

[0092] This application's solution effectively overcomes the shortcomings of existing methods in identifying oxidative sensitivity risk by introducing a comprehensive judgment mechanism based on microenvironmental data, video data, and a first biosensitivity index. Specifically, microenvironmental data can reveal potential local environmental stresses during Ganoderma lucidum growth, such as local overheating or excessive humidity; these abnormal conditions are important factors inducing oxidative stress in Ganoderma lucidum. Video data can capture human intervention behaviors; these empirical operations often lack standardization and may unintentionally cause mechanical damage or physiological stimulation to Ganoderma lucidum, thereby increasing its oxidative sensitivity. Furthermore, the first biosensitivity index, based on the intrinsic characteristics of Ganoderma lucidum strains, quantifies its inherent response to external stresses, providing a biological basis for judging its oxidative sensitivity risk. By performing correlation analysis on these three types of data and establishing clear judgment rules, this application can comprehensively assess the oxidative sensitivity risk of Ganoderma lucidum raw materials from three dimensions: environment, operation, and biology, thus avoiding misjudgments or omissions that may result from a single data source.

[0093] The aforementioned technical solutions enable a more precise and comprehensive identification of the oxidative sensitivity risks of Ganoderma lucidum raw materials. Specifically, by comprehensively assessing local microenvironmental anomalies, empirical human intervention events, and biological sensitivity risks, potential oxidative sensitivity issues can be detected earlier and more accurately. This is especially true for risks arising from subtle environmental changes, non-standardized operations, or inherent sensitivities of the strains, risks that are often difficult to effectively capture using traditional methods. Consequently, this provides a more targeted basis for adjusting subsequent packaging process parameters, ensuring that Ganoderma lucidum spore powder can more effectively resist its unique quality risks after packaging, significantly improving the product's shelf-life stability and overall quality.

[0094] In response, this application further proposes a more refined method for adjusting packaging process parameters. By quantitatively assessing the impact of risk factors on the health status of Ganoderma lucidum raw materials, the packaging process parameters can be precisely adjusted.

[0095] According to the above-mentioned quality management method for the production process of Ganoderma lucidum spore powder, the steps for adjusting the packaging process parameters based on the aforementioned oxidation sensitivity risk include: The first health index deduction value, the second health index deduction value, and / or the third health index deduction value corresponding to the local microenvironment abnormality event that leads to the risk of oxidation sensitivity in Ganoderma lucidum raw materials are calculated according to the third preset rule. The health index of the corresponding batch of Ganoderma lucidum raw materials is calculated based on the deduction values ​​of the first health index, the second health index, and / or the third health index. Based on the health index, adjust the packaging process parameters for the corresponding batches of Ganoderma lucidum spore powder.

[0096] Specifically, the third pre-set rule refers to a set of rules used to quantitatively assess the impact of different types of oxidative sensitivity risk events on the health status of Ganoderma lucidum raw materials. This rule can be pre-set, for example, through expert experience, historical data analysis, or training with machine learning models. Its purpose is to transform qualitative risk events into quantifiable deduction values. The first, second, and third health index deduction values ​​represent the degree of negative impact of local microenvironmental abnormalities, empirical artificial intervention events, and biosensitivity indices on the health status of Ganoderma lucidum raw materials, respectively. These deduction values ​​are calculated according to the third pre-set rule. The health index is a comprehensive quantitative assessment of the overall health status of Ganoderma lucidum raw materials, usually obtained by subtracting all relevant deduction values ​​from a baseline value (e.g., 100 points). The lower the health index, the higher the oxidative sensitivity risk of the Ganoderma lucidum raw materials, and the weaker their ability to resist adverse external factors.

[0097] This application's solution introduces the concept of a health index and calculates corresponding deduction values ​​based on local microenvironmental anomalies, empirical artificial intervention events, and / or biosensitivity indices, thereby achieving a quantitative assessment of the overall health status of Ganoderma lucidum raw materials. Specifically, when microenvironmental data analysis determines the presence of local microenvironmental anomalies during Ganoderma lucidum growth, a corresponding first health index deduction value is calculated according to a third preset rule; when video data analysis determines the presence of empirical artificial intervention events during Ganoderma lucidum growth, a corresponding second health index deduction value is calculated; and when the first biosensitivity index analysis determines the presence of biosensitivity risks in the Ganoderma lucidum raw materials, a corresponding third health index deduction value is calculated. These deduction values ​​are comprehensively used to calculate the health index of the Ganoderma lucidum raw materials, which can more comprehensively and precisely reflect the various stresses and abnormalities experienced by the Ganoderma lucidum raw materials during growth. Therefore, the adjustment of packaging process parameters is no longer a simple matter of presence or absence, but can be dynamically and precisely adapted according to the actual health status of the Ganoderma lucidum raw materials. For example, when the health index is low, stricter packaging measures may be necessary to compensate for the insufficient resistance of the Ganoderma lucidum raw materials to oxidative risks.

[0098] Through the above technical solution, this application overcomes the problem in existing technologies where adjustments to packaging process parameters lack a refined basis due to relying solely on qualitative assessments of oxidative sensitivity risks. By introducing the concept of a health index and calculating corresponding deduction values ​​based on local microenvironmental anomalies, empirical human intervention events, and / or biosensitivity indices, a quantitative assessment of the overall health status of Ganoderma lucidum raw materials is achieved. Therefore, adjustments to packaging process parameters are no longer simply a matter of presence or absence, but can be dynamically and precisely adapted according to the actual health status of the Ganoderma lucidum raw materials. This significantly enhances the ability of Ganoderma lucidum spore powder to resist oxidative sensitivity risks during its shelf life, effectively extending the product's shelf life and ensuring product quality stability.

[0099] See Figure 2 This application also discloses a quality management system for the production process of Ganoderma lucidum spore powder, comprising: an acquisition module 1, a judgment module 2, and an adjustment module 3. The acquisition module 1 is used to acquire corresponding quality risk data for each batch of Ganoderma lucidum raw materials. The judgment module 2 is used to determine, based on the quality risk data, whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk before entering the Ganoderma lucidum spore powder production process. The adjustment module 3 is used to adjust the packaging process parameters according to the oxidation sensitivity risk before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process, so that the system packages the Ganoderma lucidum spore powder according to the adjusted packaging process parameters, ensuring that the packaged Ganoderma lucidum spore powder resists the corresponding quality risks during its shelf life.

[0100] Through a structured modular design, this system enables quality risk management across the entire production chain of Ganoderma lucidum spore powder. In particular, risk identification begins at the raw material cultivation stage, and parameters are optimized in conjunction with subsequent packaging processes. This effectively solves the hidden and delayed quality problems existing in traditional quality management systems, ensuring that the product maintains its expected efficacy and quality throughout its shelf life.

[0101] Specifically, the acquisition module 1 in the aforementioned Ganoderma lucidum spore powder production process quality management system is used to acquire corresponding quality risk data for each batch of Ganoderma lucidum raw materials. The specific content of acquiring quality risk data has already been described in the above embodiments and will not be repeated here. It should be emphasized that the acquisition module 1 can be implemented by one or more processors executing preset instructions, or it can be constructed by dedicated hardware circuitry (e.g., ASIC, FPGA) to receive quality risk data from sensors, databases, or other data sources. For example, the acquisition module 1 can be configured to receive real-time or batch data from planting environment monitoring equipment, biological detection equipment, or physicochemical analysis equipment via wired or wireless communication interfaces.

[0102] The judgment module 2 is used to determine, based on quality risk data, whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk before entering the Ganoderma lucidum spore powder production process. The specific content of judging oxidation sensitivity risk has been described in the above embodiments and will not be repeated here. It should be emphasized that the judgment module 2 can be implemented by one or more processors executing preset judgment logic or algorithms, or it can be constructed by dedicated logic circuits. For example, the judgment module 2 can be configured to receive quality risk data provided by the acquisition module 1, and analyze it according to a preset rule set, machine learning model, or expert system to output a judgment result indicating whether an oxidation sensitivity risk exists.

[0103] The adjustment module 3 is used to adjust the packaging process parameters according to the oxidation sensitivity risk before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process. This ensures that the system packages the Ganoderma lucidum spore powder according to the adjusted parameters, guaranteeing that the packaged Ganoderma lucidum spore powder resists the corresponding quality risks during its shelf life. The specific details of adjusting the packaging process parameters have been described in the above embodiments and will not be repeated here. It should be emphasized that the adjustment module 3 can be implemented by one or more processors executing a preset adjustment strategy or control algorithm, or it can be composed of a dedicated control unit. For example, the adjustment module 3 can be configured to automatically calculate and output optimized packaging process parameters (such as nitrogen filling amount, packaging material type, sealing temperature, etc.) based on the oxidation sensitivity risk type and degree output by the judgment module 2, and send these parameters to the packaging equipment through the control interface to guide or automatically execute the packaging process.

[0104] The core innovation of the Ganoderma lucidum spore powder production process quality management system proposed in this application lies in its modular design, which combines quality risk data from the Ganoderma lucidum raw material cultivation stage with the adjustment of packaging process parameters for the final product. This enables early prediction and precise intervention of oxidation-sensitive risks in Ganoderma lucidum spore powder. Compared with traditional existing quality management methods, this system overcomes their shortcomings in identifying hidden and delayed quality problems. Traditional methods mainly focus on physical parameters during the production process and the immediate physicochemical indicators of the finished product, lacking the ability to deeply analyze the subtle changes in the intrinsic properties of raw materials due to upstream factors. This system, through the collaborative work of acquisition module 1, judgment module 2, and adjustment module 3, achieves closed-loop management from source data collection and intelligent risk assessment to intelligent adjustment of packaging processes. This significantly improves the overall quality stability and market competitiveness of Ganoderma lucidum spore powder, ensuring that the product maintains the activity of its core active ingredients and product efficacy throughout its shelf life.

[0105] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A quality management method for the production process of Ganoderma lucidum spore powder, characterized in that, include: For each batch of Ganoderma lucidum raw materials, obtain the corresponding quality risk data; Before entering the Ganoderma lucidum spore powder production process, quality risk data is used to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk. When there is a risk of oxidation sensitivity, the packaging process parameters are adjusted according to the risk of oxidation sensitivity before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process, so that the system packages the Ganoderma lucidum spore powder according to the adjusted packaging process parameters.

2. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 1, characterized in that, The steps for obtaining relevant quality risk data for each batch of Ganoderma lucidum raw materials include: For each batch of Ganoderma lucidum raw materials, the following environmental data during the growth period are obtained in real time: temperature and humidity of the environment. When the system is detected adjusting environmental policies based on environmental data, obtain the environmental policy data. Environmental data and environmental strategy data are the quality risk data mentioned above.

3. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 2, characterized in that, Before entering the Ganoderma lucidum spore powder production process, the steps to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data include: Before entering the Ganoderma lucidum spore powder production process, based on preset rules and the following quality risk data of Ganoderma lucidum raw materials: environmental data and environmental strategy data during the growth period, it is determined whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk. If environmental data shows that the temperature exceeds the set temperature and humidity for a continuous period of time, and environmental strategy data shows that the daily ventilation time increases by no less than the second set time for a continuous period of time within the first set time, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk.

4. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 2, characterized in that, For each batch of Ganoderma lucidum raw materials, the steps to obtain corresponding quality risk data also include: For each batch of Ganoderma lucidum raw materials, the intensity of ultraviolet light in the environment in which the Ganoderma lucidum was located during its growth period is obtained in real time. Before entering the Ganoderma lucidum spore powder production process, a set amount of Ganoderma lucidum raw materials are extracted as Ganoderma lucidum samples; Micro-stress response tests were conducted on Ganoderma lucidum samples, and the changes in absorbance and conductivity of the Ganoderma lucidum samples before and after the test were calculated. Ultraviolet band intensity, rate of change of absorbance in a set band, and rate of change of conductivity are quality risk data. Before entering the Ganoderma lucidum spore powder production process, the steps to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data include: Before entering the Ganoderma lucidum spore powder production process, based on the first preset rule and the following quality risk data of Ganoderma lucidum raw materials: temperature, humidity, ultraviolet band intensity, environmental strategy data, set band absorbance change rate and conductivity change rate of the environment in which Ganoderma lucidum is located during the growth period, it is determined whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk. If so, the type of oxidation sensitivity risk in the corresponding batch of Ganoderma lucidum raw materials will be determined based on the quality risk data.

5. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 4, characterized in that, The steps for determining the type of oxidation sensitivity risk present in a given batch of Ganoderma lucidum raw material based on quality risk data include: If the quality risk data shows that the temperature exceeds the set temperature and humidity for three consecutive time periods, and the environmental strategy data shows that the daily ventilation time increases by no less than the fifth time period for four consecutive time periods, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has a risk of high temperature and high humidity-ventilation adjustment stress oxidation sensitivity. If the quality risk data shows that the intensity of the ultraviolet band exceeds the preset threshold for six consecutive time periods and the humidity is as low as the first preset threshold, then it is determined that the corresponding batch of Ganoderma lucidum raw materials has a high-intensity ultraviolet-low humidity stress oxidation sensitivity risk. When the quality risk data shows that the rate of change of absorbance in the set band is greater than the second preset threshold, it is determined that the corresponding batch of Ganoderma lucidum raw materials has a near-infrared tough oxidation sensitivity risk. When the quality risk data shows that the rate of change in electrical conductivity is greater than the third preset threshold, it is determined that the corresponding batch of Ganoderma lucidum raw materials has a risk of electrical conductivity toughness oxidation sensitivity.

6. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 4 or 5, characterized in that, Based on the aforementioned oxidation sensitivity risk, the steps for adjusting packaging process parameters specifically include: For each batch of Ganoderma lucidum raw materials, quantifiable scores and weights are assigned to each type of oxidation sensitivity risk according to the second preset rule; Based on the quantifiable score and weight of each type of oxidation sensitivity risk, the oxidation sensitivity risk score of the corresponding batch of Ganoderma lucidum raw materials is calculated. Based on the oxidation sensitivity risk score, calculate the dynamic residual oxygen level that the corresponding batch of Ganoderma lucidum spore powder can withstand during packaging; The packaging process parameters for the corresponding batch of Ganoderma lucidum spore powder are adjusted according to the dynamic residual oxygen level.

7. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 2, characterized in that, For each batch of Ganoderma lucidum raw materials, the steps to obtain corresponding quality risk data also include: For each batch of Ganoderma lucidum raw materials, at the initial stage of Ganoderma lucidum strain inoculation, a set amount of Ganoderma lucidum mycelium or early spores are extracted as Ganoderma lucidum strain samples. Biosensitivity tests are performed on the Ganoderma lucidum strain samples, and the biosensitivity index of the Ganoderma lucidum strain samples is calculated. The biosensitivity index of the Ganoderma lucidum strain samples is defined as the first biosensitivity index of the corresponding batch of Ganoderma lucidum raw materials. During the growth period, real-time acquisition of microenvironmental data of the designated area for Ganoderma lucidum cultivation and video data of the first designated area for Ganoderma lucidum cultivation were performed. The first biological sensitivity index, microenvironment data, and video data are quality risk data.

8. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 7, characterized in that, Before entering the Ganoderma lucidum spore powder production process, the steps to determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk based on quality risk data include: Based on the following quality risk data: microenvironment data, video data, and the first biological sensitivity index, determine whether the corresponding batch of Ganoderma lucidum raw materials has an oxidation sensitivity risk; When microenvironmental data analysis determines that there are local microenvironmental abnormalities during the growth of Ganoderma lucidum; video data analysis determines that there are empirical human intervention events during the growth of Ganoderma lucidum; and / or, analysis based on the first biosensitivity index determines that there is a biosensitivity risk in the raw materials of Ganoderma lucidum, then the corresponding batch of Ganoderma lucidum raw materials is confirmed to have an oxidation sensitivity risk.

9. The quality management method for the production process of Ganoderma lucidum spore powder according to claim 8, characterized in that, Based on the aforementioned oxidation sensitivity risk, the steps for adjusting packaging process parameters include: The first health index deduction value, the second health index deduction value, and / or the third health index deduction value corresponding to the local microenvironment abnormality event that leads to the risk of oxidation sensitivity in Ganoderma lucidum raw materials are calculated according to the third preset rule. The health index of the corresponding batch of Ganoderma lucidum raw materials is calculated based on the deduction values ​​of the first health index, the second health index, and / or the third health index. Based on the health index, adjust the packaging process parameters for the corresponding batches of Ganoderma lucidum spore powder.

10. A quality management system for the production process of Ganoderma lucidum spore powder, characterized in that, include: The acquisition module is used to obtain corresponding quality risk data for each batch of Ganoderma lucidum raw materials. The judgment module is used to determine whether the corresponding batch of Ganoderma lucidum raw materials has oxidation sensitivity risk based on quality risk data before entering the Ganoderma lucidum spore powder production process; The adjustment module is used to adjust the packaging process parameters according to the oxidation sensitivity risk before the corresponding batch of Ganoderma lucidum spore powder enters the packaging process, so that the system packages the Ganoderma lucidum spore powder according to the adjusted packaging process parameters.

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