Environmental control system for controlling infectious microbe in enriched microorganism culture process

Abstract

The invention relates to the technical field of microorganism culture, and discloses an environment control system for controlling infectious microbe in an enriched microorganism culture process. Comprising an environmental element acquisition and sensing module used for detecting the growth environment of target microorganisms and infectious microbes in real time; the sterilization and pollution control module is used for creating a sterile or low-pollution environment; the data acquisition part is integrated with an IoT (Internet of Things) module and is used for uploading real-time data to a background, and when the infectious microbe level exceeds the standard, the culture breeding is automatically lowered or ultraviolet sterilization is started; and the control module is used for carrying out modular programming on the environment, constructing an anaerobic, aerobic and micro-aerobic condition combination aiming at whether microorganisms are aerobic variables or not, and providing a microorganism culture matrix, distinguishing optimal culture conditions of different floras and constructing a type steady state of enriched microorganisms in cooperation with high-frequency colony count monitoring after flora inoculation.

Description

Technical Field

[0002] This application relates to the field of microbial culture technology, and in particular to an environmental control system for controlling contaminating bacteria during the culture of enriched microorganisms. Background Technology

[0003] In the field of microbial research, especially in the study of microbial biomarkers related to disease diagnosis, enriched microbial culture is a crucial step in obtaining sufficient quantities of target microbial communities for physicochemical testing. However, current technologies face the following technical bottlenecks in the process of microbial enrichment culture: 1. Limited and low-automation methods for controlling contaminating microorganisms: Traditional culture environments rely on manual monitoring and periodic sterilization (such as ultraviolet irradiation or chemical disinfection), which cannot respond in real time to contamination events. For example, when the level of contaminating microorganisms in the culture environment suddenly rises, manual intervention is often delayed, resulting in contamination of the target microorganisms or inhibition of their growth, making it difficult to meet the stringent requirements of GLP standards for a sterile environment.

[0004] 2. Lack of dynamic adaptability in environmental parameter adjustment: Existing culture systems typically only provide fixed basic environmental parameters such as temperature and pH, and cannot dynamically construct diverse culture conditions based on the aerobic characteristics of microorganisms (such as anaerobic, aerobic, and microaerobic). For example, for bacterial communities with significantly different aerobic requirements, traditional methods require batch cultivation in different devices, which is cumbersome and prone to cross-contamination, making it difficult to efficiently distinguish the optimal growth conditions for different bacterial communities.

[0005] 3. Insufficient multi-parameter monitoring and data linkage: Existing systems monitor the microbial growth environment only for basic physical parameters such as temperature and humidity, lacking direct detection methods for microbial metabolic activity (such as ATP content) or real-time concentration (such as turbidity). Furthermore, the lack of intelligent linkage between monitoring data and the control module prevents automatic adjustment of the culture strategy based on real-time data, resulting in low efficiency and stability of enrichment cultures.

[0006] Therefore, a system is urgently needed to solve at least one of the above problems. Summary of the Invention

[0008] This application provides an environmental control system for controlling contaminating bacteria during the cultivation of enriched microorganisms. It aims to solve the problem that existing technologies do not have a cultivation environmental control system that simultaneously integrates multimodal real-time monitoring, automated pollution intervention, dynamic programming of aerobic conditions, and intelligent data linkage. In particular, it lacks a technical solution for constructing a multi-dimensional cultivation matrix based on the "aerobic characteristics of microorganisms" and achieving the steady-state maintenance of enriched microbial communities.

[0009] In a first aspect, this application provides an environmental control system for controlling contaminating bacteria during the cultivation of enriched microorganisms, comprising: The environmental element acquisition and sensing module is equipped with a thermocouple temperature sensor, an electrode-type pH sensor, a polar spectrum dissolved oxygen sensor, a humidity sensor, and a CO2 sensor. It also integrates an ATP bioluminescence detector or an online turbidimeter for real-time detection of the growth environment of target microorganisms and other bacteria. Sterilization and contamination control modules, including ultraviolet lamps or ozone generators, air isolation devices, filtration systems, and nitrogen filling systems, are used to create sterile or low-contamination environments; The data acquisition department integrates an IoT module to upload real-time data to the backend. When the level of miscellaneous bacteria exceeds the standard, the culture and incubation process is automatically reduced or ultraviolet sterilization is activated. The control module is used for modular programming of the environment, constructing anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and providing a microbial culture matrix in conjunction with high-frequency colony count monitoring after microbial inoculation. This matrix distinguishes the optimal culture conditions for different microbial communities and constructs a stable state of enriched microbial types.

[0010] In some embodiments, the real-time detection of the growth environment of target microorganisms and other microorganisms includes: periodically collecting temperature, pH value, dissolved oxygen concentration, humidity, and CO2 concentration in the culture environment using the thermocouple temperature sensor, electrode-type pH sensor, polar spectrum dissolved oxygen sensor, humidity sensor, and CO2 sensor; detecting the ATP content of target microorganisms and other microorganisms using the ATP bioluminescence detector, or detecting the turbidity of the culture environment using the online turbidimeter, to obtain growth and metabolic information and concentration change information of target microorganisms and other microorganisms, and transmitting the detection data to the control module in real time.

[0011] Creating a sterile or low-contamination environment in some embodiments includes: when the control module determines, based on detection data, that the level of contaminants in the culture environment exceeds a preset threshold, automatically triggering the ultraviolet lamp or ozone generator to start a sterilization program, with the sterilization time and intensity adaptively adjusted according to the degree of contamination; physically isolating the culture space through the air isolation device to prevent outside air from entering; using the filtration system to efficiently filter the air entering the culture space to remove microbial particles from the air; and adjusting the oxygen content in the culture environment through the nitrogen filling system to inhibit the growth of aerobic bacteria.

[0012] In some embodiments, uploading real-time data to the backend and automatically reducing the culture rate or initiating ultraviolet sterilization when the level of contaminants exceeds the limit includes: the IoT module encrypting the real-time collected environmental parameters and contaminant detection data and uploading them to the backend server in real time; the backend server presets a safety threshold for the level of contaminants, and when the detected level of contaminants exceeds the safety threshold, the backend server sends a command to the control module, and the control module automatically reduces the temperature of the culture environment to reduce the culture rate, or triggers the ultraviolet lamp to start the sterilization operation, while recording the time of the event and the operation process, and generating alarm information to notify the operator.

[0013] In some embodiments, the modular programming of the environment includes: through the operation interface of the control module, the operator can program and set the temperature, pH value, dissolved oxygen concentration, oxygen content, humidity and CO2 concentration in the culture environment according to different microbial culture needs, and preset different culture modes; store the different culture modes as program templates, which can be called at any time as needed; during the culture process, the environmental parameters are automatically adjusted according to the preset program templates to realize the programmed control of the culture environment.

[0014] In some embodiments, constructing anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and coordinating high-frequency colony count monitoring after microbial inoculation, includes: selecting or customizing anaerobic, aerobic, or microaerobic culture modes through the control module according to the aerobic characteristics of the microorganisms; controlling the oxygen concentration in the culture environment to the target range by adjusting the nitrogen filling system and air filtration system; after microbial inoculation, initiating a high-frequency colony count monitoring program; using image recognition technology or fluorescence detection technology to detect the number and morphology of colonies in the culture dish at preset time intervals; transmitting the detection results to the control module in real time; and automatically fine-tuning the culture environment parameters according to the colony count change trend.

[0015] In some embodiments, providing a microbial culture matrix to distinguish the optimal culture conditions for different bacterial communities includes: simultaneously running multiple different culture programs, each program corresponding to a different combination of environmental parameters, forming a multidimensional culture matrix including temperature, pH, dissolved oxygen concentration, and oxygen content; inoculating different bacterial communities into culture environments with corresponding parameter combinations to conduct parallel culture experiments; recording the growth data of bacterial communities in each culture environment in real time, including colony count, growth rate, and metabolites; and determining the optimal culture conditions for each bacterial community by statistically analyzing and comparing the growth of bacterial communities under different parameter combinations, forming a microbial community-culture condition database.

[0016] In some embodiments, the construction of a stable state of enriched microorganisms includes: automatically adjusting the culture environment parameters according to the determined optimal culture conditions for each microbial community, so that the target microorganisms are always in the optimal growth environment during the enrichment culture process; maintaining the stability of temperature, pH, dissolved oxygen concentration, and oxygen content in the culture environment through continuous real-time monitoring and feedback adjustment, inhibiting the growth of contaminating bacteria, and ensuring the dominant growth position of the target microorganisms; establishing a dynamic equilibrium model, and adjusting the control strategy in real time according to the changes in environmental parameters during the growth and metabolism of microorganisms, forming a stable enriched microbial culture system, and providing microbial samples with stable composition and quantity.

[0017] Secondly, this application provides a light sensitivity-assisted system method, applied to an environmental control system for controlling contaminating bacteria during the enrichment of microorganisms provided in any embodiment of this application, the method comprising: Modular programming of the environment; We constructed anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and then conducted high-frequency colony count monitoring after inoculation. It provides a microbial culture matrix to distinguish the optimal culture conditions for different bacterial groups and to construct a stable state of enriched microorganisms.

[0018] Thirdly, embodiments of this application provide a control module, the control module including a memory and a processor; the memory is used to store a computer program; the processor is used to execute the computer program and, when executing the computer program, implement the method provided in any embodiment of this application.

[0019] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement the method provided in any embodiment of this application.

[0020] This application utilizes an ATP bioluminescence detector or online turbidimeter to monitor contaminating bacterial levels in real time. Combined with multi-dimensional contamination control measures such as ultraviolet / ozone sterilization, air isolation, and nitrogen purging, it achieves closed-loop automation from "contamination detection" to "intervention execution," significantly reducing the cost of manual intervention and improving the reliability of the sterile environment. A multi-condition combination of anaerobic / aerobic / microaerobic is constructed based on the aerobic characteristics of microorganisms, supporting the parallel operation of multiple culture environments. This forms a multi-dimensional culture matrix including parameters such as temperature, pH, dissolved oxygen, and oxygen content, efficiently screening the optimal growth conditions for different bacterial groups and shortening the enrichment culture cycle. Data is uploaded to the backend in real time via an IoT module, and environmental parameters are automatically adjusted using a PID algorithm to dynamically maintain the "type homeostasis" of enriched microorganisms. High-frequency colony count monitoring and the coordinated adjustment of environmental parameters ensure that target microorganisms grow preferentially under optimal conditions, providing stable and controllable microbial samples for subsequent pathological research.

[0021] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram of the structure of an environmental control system for controlling contaminating bacteria during the cultivation of enriched microorganisms, provided in an embodiment of this application. Figure 2 This is a schematic flowchart illustrating the steps of a light sensitivity-assisted system method provided in an embodiment of this application; Figure 3 This is a schematic block diagram of the structure of a control module provided in one embodiment of this application.

[0024] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Detailed Implementation

[0025] The technical solutions of the embodiments 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, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.

[0027] It should be understood that, in order to clearly describe the technical solutions of the embodiments of the present invention, the terms "first" and "second" are used in the embodiments of the present invention to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and the terms "first" and "second" are not necessarily different.

[0028] It should be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0029] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0030] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0031] In the field of microbial research, especially in the study of microbial biomarkers related to disease diagnosis, enriched microbial culture is a crucial step in obtaining sufficient quantities of target microbial communities for physicochemical testing. However, current technologies face the following technical bottlenecks in the process of microbial enrichment culture: 1. Limited and low-automation methods for controlling contaminating microorganisms: Traditional culture environments rely on manual monitoring and periodic sterilization (such as ultraviolet irradiation or chemical disinfection), which cannot respond in real time to contamination events. For example, when the level of contaminating microorganisms in the culture environment suddenly rises, manual intervention is often delayed, resulting in contamination of the target microorganisms or inhibition of their growth, making it difficult to meet the stringent requirements of GLP standards for a sterile environment.

[0032] 2. Lack of dynamic adaptability in environmental parameter adjustment: Existing culture systems typically only provide fixed basic environmental parameters such as temperature and pH, and cannot dynamically construct diverse culture conditions based on the aerobic characteristics of microorganisms (such as anaerobic, aerobic, and microaerobic). For example, for bacterial communities with significantly different aerobic requirements, traditional methods require batch cultivation in different devices, which is cumbersome and prone to cross-contamination, making it difficult to efficiently distinguish the optimal growth conditions for different bacterial communities.

[0033] 3. Insufficient multi-parameter monitoring and data linkage: Existing systems monitor the microbial growth environment only for basic physical parameters such as temperature and humidity, lacking direct detection methods for microbial metabolic activity (such as ATP content) or real-time concentration (such as turbidity). Furthermore, the lack of intelligent linkage between monitoring data and the control module prevents automatic adjustment of the culture strategy based on real-time data, resulting in low efficiency and stability of enrichment cultures.

[0034] There is no existing technology that integrates multimodal real-time monitoring, automated pollution intervention, dynamic programming of aerobic conditions, and intelligent data linkage in the culture environment control system. In particular, there is a lack of technical solutions for constructing a multi-dimensional culture matrix based on the "aerobic characteristics of microorganisms" and achieving the maintenance of the stable state of enriched microbial communities.

[0035] To solve the above problem, please refer to Figure 1 This application provides an environmental control system for controlling contaminating bacteria during the cultivation of enriched microorganisms, comprising: an environmental element acquisition and sensing module, which is equipped with a thermocouple temperature sensor, an electrode-type pH sensor, a polar spectrum dissolved oxygen sensor, a humidity sensor, and a CO2 sensor, and also integrates an ATP bioluminescence detector or an online turbidimeter for real-time detection of the growth environment of target microorganisms and contaminating bacteria; a sterilization and contamination control module, including an ultraviolet lamp or ozone generator, an air isolation device, a filtration system, and a nitrogen filling system, for creating a sterile or low-contamination environment; a data acquisition unit integrating an IoT module for uploading real-time data to the background, automatically reducing the cultivation level or initiating ultraviolet sterilization when the contaminating bacteria level exceeds the standard; and a control module for modular programming of the environment, constructing anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, providing a microbial culture matrix in conjunction with high-frequency colony count monitoring after inoculation, distinguishing the optimal culture conditions for different bacterial groups, and constructing a type steady state of enriched microorganisms.

[0036] Specifically, the environmental control system for controlling contaminating bacteria during the enriched microbial culture process provided by this invention achieves closed-loop management of "real-time monitoring - intelligent control - pollution intervention - steady-state maintenance" through multi-module collaboration.

[0037] The environmental element acquisition and sensing module is used to construct a multi-dimensional microenvironment monitoring network to achieve precise perception of the growth status of target microorganisms and contaminating bacteria.

[0038] Thermocouple temperature sensors monitor the culture environment temperature in real time with an accuracy of ±0.1℃, providing a temperature reference for microbial growth.

[0039] The electrode-type pH sensor dynamically detects the acidity and alkalinity of the culture system, with a response time of ≤5 seconds, and supports full-range monitoring of pH from 0 to 14.

[0040] Polar spectrum dissolved oxygen (DO) sensor: measures dissolved oxygen concentration (0-20 mg / L) with a resolution of 0.01 mg / L, adapting to the differentiated needs of aerobic / anaerobic bacterial communities.

[0041] Humidity and CO2 sensors: These monitor ambient relative humidity (accuracy ±2%RH) and CO2 concentrations of 0-5000ppm (accuracy ±3%), respectively, to maintain gaseous stability in the culture space. The ATP bioluminescence detector quantifies the ATP content of microorganisms through a luciferin-luciferase reaction, completing the detection of contaminating microbial activity within 10 minutes, with a detection limit as low as 10. 3 CFU / mL. The online turbidimeter uses the 90° scattering light principle to monitor the turbidity of the culture system in real time (0-1000 NTU), reflecting changes in microbial concentration. The sampling interval can be set to 5-30 minutes.

[0042] The sterilization and contamination control module is used to build a multi-level contamination protection system to achieve three-dimensional prevention and control through "prevention-blocking-disinfection".

[0043] The ultraviolet (UV) lamp is equipped with a 254nm wavelength ultraviolet light source and an irradiation intensity ≥90μW / cm². 2 The irradiation time can be automatically adjusted according to the pollution level (10-60 minutes).

[0044] The ozone generator produces an ozone concentration of 0.1-1 mg / m³. 3 The ozone gas, combined with the circulating air path, achieves fumigation and sterilization of the cultivation space. After sterilization, ventilation is automatically activated to remove residue.

[0045] The physical isolation unit includes: an air isolation device: employing air curtain isolation or positive pressure sealing technology to create an air pressure difference of ≥5Pa between the cultivation space and the outside environment, blocking the invasion path of external microorganisms. A filtration system: integrating a HEPA filter (filtration efficiency ≥99.97%@0.3μm) and an activated carbon adsorption layer to filter particulate pollutants and volatile organic compounds (VOCs) from the incoming air.

[0046] The metabolic inhibition unit includes: a nitrogen injection system: which precisely controls the amount of nitrogen injected through a mass flow controller (MFC) to adjust the oxygen concentration in the culture environment to the range of 0-20%, thereby specifically inhibiting the growth of aerobic bacteria.

[0047] The data acquisition and intelligent control module is used to build a data closed loop of "edge computing - cloud management" to realize dynamic programming and intelligent linkage of environmental parameters.

[0048] Data acquisition and transmission include: IoT module: integrating a 5G / Ethernet communication module to encrypt and upload sensor data (frequency 1 time / minute) to the cloud server, supporting remote real-time monitoring and historical data tracing. Threshold trigger mechanism: preset ATP threshold for contaminating bacteria in the background (e.g., >10). 4 When the RLU or turbidity threshold (e.g., >50 NTU) is exceeded, an alarm work order is automatically generated and pushed to the operator's mobile device. The control logic execution includes: a modular programming interface: via the control module's touchscreen or cloud platform, operators can customize culture programs such as "anaerobic mode" (O2 0.5%), "aerobic mode" (O2 = 20%), and "microaerobic mode" (O2 = 5-8%). Each program can be associated with dynamic curves (e.g., stepped temperature changes, pulsed oxygenation) for parameters such as temperature (15-45℃), pH (4.0-9.0), and DO (0-20mg / L). The control module uses a proportional-integral-derivative algorithm to fine-tune parameters such as temperature and pH in real time (adjustment cycle ≤ 1 minute), ensuring that parameter fluctuations are ≤ ±5% of the set value. Enrichment of target bacterial communities is achieved through a combination of "differentiated culture based on aerobic characteristics - high-frequency monitoring - matrix-based condition screening." Multiple independent culture chambers (e.g., 4-8) are divided within the same culture equipment. Each chamber can independently control parameters such as oxygen concentration and temperature, allowing for parallel anaerobic / aerobic / microaerobic culture experiments. For example, chamber A is set as an anaerobic environment (N2 filled to O2 < 0.5%) for culturing lactobacilli, while chamber B maintains an aerobic environment (O2 = 20%) for culturing aerobic control bacteria.

[0049] High-frequency colony count monitoring employs machine vision technology (such as a charge-coupled device (CCD) camera) combined with image analysis algorithms to photograph and count colonies in culture dishes every hour, identifying colony morphology (such as round or wrinkled) and classifying them statistically. Combined with fluorescent labeling technology (such as SYTO 9 nucleic acid staining), it distinguishes between live and dead cells and calculates the percentage of live cells in the target bacterial population.

[0050] Cultivation matrix and steady-state construction through orthogonal experimental design (L9(3) 4 A four-dimensional culture matrix was constructed, including temperature (30℃, 37℃, 42℃), pH (5.5, 7.0, 8.5), O2 0.5%, 5%, 20%, and nutrient composition (serum concentration 1%, 5%, 10%). Three parallel samples were run for each condition combination. The control module automatically selected the optimal condition combination based on the microbial community growth curve (OD value, colony count), forming a "microbial community-environmental parameter" mapping table. During subsequent culture, real-time feedback was used to maintain environmental parameter fluctuations ≤ ±2%, constructing a "type steady state" for the enriched microbial community (e.g., Lactobacillus ≥ 90%). Concentration ( Taking HRCD-related vaginal microbial enrichment culture as an example, the system operation procedure is explained as follows: 1. Initial parameter settings: The operator selects "Vaginal Microbial Enrichment Program" through the control module interface. Preset parameters: Aerobic mode: O2=20%, temperature 37℃, pH=6.0, CO2=5%, used for culturing aerobic bacteria (such as Halomonas); Microaerobic mode: O2=8%, temperature 35℃, pH=5.5, CO2=3%, used for enriching target bacterial groups such as Lactobacillus. The air filtration system is activated to ensure that the particulate matter concentration in the culture chamber is <3520 particles / m³. 3 (ISO Class 8 cleanliness) and the oxygen concentration in each compartment is adjusted to the target value by nitrogen filling.

[0051] Microbial inoculation and real-time monitoring involved inoculating vaginal swab samples from HRCD patients into culture dishes containing selective media, which were then placed in culture chambers with different aerobic conditions. The system collected data on temperature, pH, and dissolved oxygen (DO) every 10 minutes, and detected bacterial activity hourly using an ATP bioluminescence detector (e.g., the ATP threshold for Halomonas was set to >500 RLU). Microbial concentration was monitored using an online turbidimeter (the turbidity growth slope for target lactobacilli was preset to 0.05 NTU / h).

[0052] Contamination intervention and parameter adjustment are implemented as follows: If the ATP value of contaminating bacteria in a culture chamber exceeds 800 RLU (exceeding the threshold), the system automatically performs the following actions: ① Irradiates the chamber with ultraviolet light for 20 minutes; ② Nitrogen is introduced until the O2 concentration drops to 3%, inhibiting the growth of aerobic bacteria; ③ A contamination alarm (including chamber number, contamination level, and intervention record) is sent to the operator via the IoT module. If the turbidity in the lactobacillus culture chamber increases slowly (<0.03 NTU / h), the control module automatically fine-tunes the parameters: raising the temperature from 35℃ to 37℃, adjusting the pH from 5.5 to 6.0, and simultaneously increasing the glucose concentration in the culture medium to 2% to promote the growth of the target bacterial population.

[0053] After 48 hours of cultivation, the enriched state was maintained at a steady state. The system confirmed that the target bacterial population comprised ≥85% through colony morphology identification (Lactobacillus appears grayish-white, round, and with neat edges) and rapid 16S rRNA detection (using an integrated isothermal amplification chip within the chamber). Based on real-time monitoring data, the control module fine-tuned the N2 injection volume (accuracy ±0.1% O2) and stirring rate (50-150 rpm) every 30 minutes to maintain fluctuations in the culture environment parameters ≤±1.5%, until the bacterial concentration reached the threshold required for physicochemical testing (e.g., 10⁻⁶). 7 (CFU / mL).

[0054] The cloud server automatically generates data reports on the culture process, including: environmental parameter curves (temperature, pH, and O2 concentration changes over time); microbial community growth kinetic parameters (doubling time, maximum specific growth rate); and contamination event logs (occurrence time, intervention measures, and recovery time). Operators can export the data through the platform for subsequent microbial metabolomics analysis or pathological correlation studies.

[0055] A comprehensive monitoring system integrating physicochemical parameters, microbial activity, and concentration changes enables "second-level detection and minute-level response" to pollution incidents. Through independent oxygen-controlled chambers and modular program templates, it supports the parallel cultivation of multiple types of microorganisms, significantly improving efficiency compared to traditional methods. Based on real-time data-driven PID algorithms and microbial community growth models, it breaks through the simple closed loop of traditional cultivation—"setpoint-feedback adjustment"—achieving dual stability in both the composition and quantity of enriched microbial communities.

[0056] In some embodiments, the real-time detection of the growth environment of target microorganisms and other microorganisms includes: periodically collecting temperature, pH value, dissolved oxygen concentration, humidity, and CO2 concentration in the culture environment using the thermocouple temperature sensor, electrode-type pH sensor, polar spectrum dissolved oxygen sensor, humidity sensor, and CO2 sensor; detecting the ATP content of target microorganisms and other microorganisms using the ATP bioluminescence detector, or detecting the turbidity of the culture environment using the online turbidimeter, to obtain growth and metabolic information and concentration change information of target microorganisms and other microorganisms, and transmitting the detection data to the control module in real time.

[0057] By using multiple types of sensors to collect physicochemical parameters and biological indicators of the culture environment in real time, data on the growth status of the target microorganism and other microorganisms can be obtained.

[0058] Physicochemical parameter acquisition: Thermocouple temperature sensors monitor the culture environment temperature once per minute (accuracy ±0.1℃); electrode-type pH sensors update the pH value every 5 seconds (range 0-14); polarimetric dissolved oxygen sensors output dissolved oxygen concentration in real time (resolution 0.01mg / L); humidity sensors and CO2 sensors monitor ambient humidity (20%-90%RH) and CO2 (0-5000ppm) with accuracies of ±2%RH and ±3%, respectively. Biomarker detection: The ATP bioluminescence detector measures the culture samples hourly, quantifying the microbial ATP content via luciferase reaction (detection limit 10). 3 The online turbidimeter measures the turbidity of the culture system (0-1000 NTU) at 5-minute intervals, generating results within 10 minutes. All data is transmitted in real-time to the control module via an RS485 bus, forming a multi-dimensional data stream with timestamps for real-time analysis and decision-making.

[0059] Creating a sterile or low-contamination environment in some embodiments includes: when the control module determines, based on detection data, that the level of contaminants in the culture environment exceeds a preset threshold, automatically triggering the ultraviolet lamp or ozone generator to start a sterilization program, with the sterilization time and intensity adaptively adjusted according to the degree of contamination; physically isolating the culture space through the air isolation device to prevent outside air from entering; using the filtration system to efficiently filter the air entering the culture space to remove microbial particles from the air; and adjusting the oxygen content in the culture environment through the nitrogen filling system to inhibit the growth of aerobic bacteria.

[0060] Based on the detection data, multi-level sterilization and isolation measures are automatically triggered to create a sterile or low-contamination culture environment.

[0061] When the control module determines that the level of contaminants exceeds the standard based on ATP or turbidity data (e.g., ATP > 10), 4 If RLU or turbidity > 50 NTU, the ultraviolet lamp will automatically activate (irradiation intensity 90 μW / cm²). 2 20 minutes, or ozone generator (concentration 0.5 mg / m³) 3 Fumigate for 30 minutes; after sterilization, the exhaust system will automatically activate to disperse residual gases. Irradiation. The air isolation device blocks the intrusion of outside air through air curtains (wind speed ≥25m / s) or positive pressure seals (pressure difference ≥5Pa). At the same time, the filtration system performs three-stage treatment on the incoming air: pre-filter (retaining particles ≥5μm), HEPA filter (≥99.97%@0.3μm), and activated carbon adsorption (removing VOCs), ensuring that the air cleanliness entering the cultivation space reaches ISO 7 level.

[0062] The nitrogen filling system uses a mass flow controller (MFC) to adjust the oxygen concentration in the culture environment to a target value (e.g., 3%), which inhibits the respiratory metabolism of aerobic bacteria (e.g., Halomonas) while maintaining the growth advantage of target anaerobic bacteria (e.g., Lactobacillus).

[0063] In some embodiments, uploading real-time data to the backend and automatically reducing the culture rate or initiating ultraviolet sterilization when the level of contaminants exceeds the limit includes: the IoT module encrypting the real-time collected environmental parameters and contaminant detection data and uploading them to the backend server in real time; the backend server presets a safety threshold for the level of contaminants, and when the detected level of contaminants exceeds the safety threshold, the backend server sends a command to the control module, and the control module automatically reduces the temperature of the culture environment to reduce the culture rate, or triggers the ultraviolet lamp to start the sterilization operation, while recording the time of the event and the operation process, and generating alarm information to notify the operator.

[0064] By leveraging IoT modules to achieve data synchronization in the cloud and automated intervention, pollution response efficiency can be improved.

[0065] The IoT module transmits real-time environmental parameters (temperature, pH, O2 ATP value, turbidity, etc.) and bacterial detection data (concentration, etc.) to the backend server via a 5G network with an encrypted transmission frequency of once per minute, supporting historical data review and trend analysis. The background system presets a safety threshold for miscellaneous bacteria (e.g., ATP=8000 RLU or turbidity=30 NTU). When the threshold is exceeded, it automatically sends instructions to the control module: ① If it is an aerobic culture environment, the control module will lower the temperature from 37℃ to 25℃ to reduce the metabolic rate of miscellaneous bacteria; ② If it is a closed culture chamber, it will trigger the ultraviolet lamp to start a 15-minute sterilization program.

[0066] The system automatically generates pollution event logs (including time, compartment number, and intervention measures) and pushes alarm information to operators via SMS / APP, along with real-time data curves and handling suggestions.

[0067] In some embodiments, the modular programming of the environment includes: through the operation interface of the control module, the operator can program and set the temperature, pH value, dissolved oxygen concentration, oxygen content, humidity and CO2 concentration in the culture environment according to different microbial culture needs, and preset different culture modes; store the different culture modes as program templates, which can be called at any time as needed; during the culture process, the environmental parameters are automatically adjusted according to the preset program templates to realize the programmed control of the culture environment.

[0068] The control module interface enables the programmed setting and template-based management of culture environment parameters.

[0069] Parameter programming: Operators input culture parameters on the control module touch screen or cloud platform, such as "anaerobic mode" setting: temperature 35℃, pH 5.5, O2 ≤ 0.5%, CO2 = 2%, "microaerobic mode" setting: temperature 37℃, pH 7.2, O2 = 5%, CO2 = 5%, and support for custom parameter curves (such as increasing the temperature by 1℃ every 2 hours).

[0070] Commonly used culture programs (such as "vaginal flora enrichment" and "intestinal anaerobic bacteria culture") are stored as templates, which can be called up with one click and applied in batches to multiple culture chambers. For example, when calling the "HPV-related flora culture" template, the system automatically configures aerobic, microaerobic, and anaerobic conditions and corresponding nutrients for the four chambers respectively.

[0071] The control module fine-tunes parameters every 10 minutes based on a PID algorithm. For example, it automatically adjusts the heating / cooling elements when the temperature fluctuates by more than ±0.5℃, and triggers the replenishment pump to add acid-base buffer when the pH deviates from the set value by ±0.2.

[0072] In some embodiments, constructing anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and coordinating high-frequency colony count monitoring after microbial inoculation, includes: selecting or customizing anaerobic, aerobic, or microaerobic culture modes through the control module according to the aerobic characteristics of the microorganisms; controlling the oxygen concentration in the culture environment to the target range by adjusting the nitrogen filling system and air filtration system; after microbial inoculation, initiating a high-frequency colony count monitoring program; using image recognition technology or fluorescence detection technology to detect the number and morphology of colonies in the culture dish at preset time intervals; transmitting the detection results to the control module in real time; and automatically fine-tuning the culture environment parameters according to the colony count change trend.

[0073] We constructed diverse culture conditions based on the aerobic characteristics of microorganisms and optimized the culture strategy through high-frequency colony monitoring.

[0074] The culture mode is selected according to the type of microorganism. For example, for lactobacillus (anaerobic bacteria), nitrogen is turned on to fill the air to O2 < 0.5%; for streptococcus (aerobic bacteria), the air environment is maintained at O2 = 20%; and for Helicobacter pylori (microaerobic bacteria), O2 is adjusted to 8% and CO2 to 10%.

[0075] After inoculation, the machine vision monitoring system is activated. The CCD camera takes pictures of the culture dish every hour. The number of colonies is counted and the morphology (such as edge smoothness and color) is analyzed by image recognition algorithm (such as YOLOv5). The percentage of live bacteria is calculated by combining fluorescent staining (such as PI staining to distinguish dead bacteria).

[0076] If the target bacterial population is found to be growing slowly (e.g., colony count increases by <50% in 24 hours), the control module will automatically reduce the dissolved oxygen concentration by 2 mg / L or increase the temperature by 1°C, and record the difference in the growth curve before and after the adjustment.

[0077] In some embodiments, providing a microbial culture matrix to distinguish the optimal culture conditions for different bacterial communities includes: simultaneously running multiple different culture programs, each program corresponding to a different combination of environmental parameters, forming a multidimensional culture matrix including temperature, pH, dissolved oxygen concentration, and oxygen content; inoculating different bacterial communities into culture environments with corresponding parameter combinations to conduct parallel culture experiments; recording the growth data of bacterial communities in each culture environment in real time, including colony count, growth rate, and metabolites; and determining the optimal culture conditions for each bacterial community by statistically analyzing and comparing the growth of bacterial communities under different parameter combinations, forming a microbial community-culture condition database.

[0078] By using a multidimensional culture matrix to screen the optimal growth conditions for different bacterial communities in parallel, a database of bacterial community-environment parameters was established.

[0079] Eight independent culture chambers were set up with 3×3×2 factor combinations (temperature: 30℃, 37℃, 42℃; pH: 5.5, 7.0, 8.5; O2 concentration: 0.5%, 5%, 20%; nutrients: serum-containing / serum-free), and two parallel samples were set up for each condition combination.

[0080] Vaginal flora samples (including lactobacilli, halomonas, etc.) from HRCD patients were inoculated into corresponding chambers according to their different aerobic characteristics. For example, halomonas were inoculated into chambers with O2=20%, 37℃, and pH7.0, while lactobacilli were inoculated into chambers with O2=0.5%, 35℃, and pH5.5.

[0081] For 72 consecutive hours, the number of colonies, OD value, and metabolites (such as lactic acid content) in each compartment were recorded. The key factors affecting growth (such as the optimal conditions for the growth of lactobacillus being 35°C, pH 5.5, and anaerobic conditions) were determined by analysis of variance (ANOVA), and a microbial community-condition mapping table containing more than 100 sets of data was generated.

[0082] In some embodiments, the construction of a stable state of enriched microorganisms includes: automatically adjusting the culture environment parameters according to the determined optimal culture conditions for each microbial community, so that the target microorganisms are always in the optimal growth environment during the enrichment culture process; maintaining the stability of temperature, pH, dissolved oxygen concentration, and oxygen content in the culture environment through continuous real-time monitoring and feedback adjustment, inhibiting the growth of contaminating bacteria, and ensuring the dominant growth position of the target microorganisms; establishing a dynamic equilibrium model, and adjusting the control strategy in real time according to the changes in environmental parameters during the growth and metabolism of microorganisms, forming a stable enriched microbial culture system, and providing microbial samples with stable composition and quantity.

[0083] A dynamic steady-state system was constructed based on optimal culture conditions to maintain the stability of the composition and quantity of enriched microorganisms.

[0084] Based on the determined optimal conditions (e.g., lactobacillus: 35℃, pH 5.5, O2 < 0.5%), the control module calibrates the environmental parameters every 30 minutes, adjusts the nitrogen flow rate (accuracy ±0.1% O2) through a precision gas valve, and adds pH buffer solution (accuracy ±0.05pH) through a peristaltic pump to ensure that parameter fluctuations are ≤ ±1.5% of the set value.

[0085] Real-time monitoring of ATP values ​​of miscellaneous bacteria. When the ATP of aerobic miscellaneous bacteria such as Halomonas exceeds 3000 RLU, short-term (2-hour) extreme anaerobic conditions (O2 < 0.1%) combined with nutrient restriction (glucose concentration reduced to 0.5%) are initiated to specifically inhibit the growth of aerobic bacteria while maintaining the dominance of the target anaerobic bacteria.

[0086] Machine learning algorithms (such as LSTM) are used to predict changes in the environmental parameters required for bacterial community growth, and culture conditions are adjusted in advance (such as automatically increasing nitrogen supply at the beginning of the logarithmic growth phase) to ensure that the proportion of target bacteria in the enriched bacterial community remains ≥90% and the concentration remains stable at 10. 7 -10 8 CFU / mL range.

[0087] It should be noted that the acquisition of any information mentioned in the system is in accordance with relevant regulations and with the user's consent, and will not infringe on the user's privacy or violate relevant laws and regulations.

[0088] Please see Figure 2 , Figure 2 This is a schematic flowchart of a photosensitivity-assisted system method provided in one embodiment of this application. The execution device of the method is a control module deployed in the environmental control system for controlling contaminating bacteria during the enrichment microbial culture process provided in any embodiment of this application.

[0089] like Figure 2 As shown, the provided method includes steps S101 to S103. The control module can be a handheld terminal, a laptop computer, a wearable device, or a robot, etc. It is used to implement steps S101 to S103 and their corresponding embodiments.

[0090] It should be noted that the acquisition of any information mentioned in the provided methods is in compliance with relevant regulations and is carried out with the user's consent, and will not infringe on the user's privacy or violate relevant laws and regulations.

[0091] Step S101. Modularize the environment; Step S102. Construct anaerobic, aerobic, and microaerobic condition combinations based on the aerobicity of microorganisms, and conduct high-frequency colony count monitoring after inoculation. Step S103. Provide a microbial culture matrix, distinguish the optimal culture conditions for different bacterial groups, and construct a stable state of enriched microorganisms.

[0092] In some embodiments, the real-time detection of the growth environment of target microorganisms and other microorganisms includes: periodically collecting temperature, pH value, dissolved oxygen concentration, humidity, and CO2 concentration in the culture environment using the thermocouple temperature sensor, electrode-type pH sensor, polar spectrum dissolved oxygen sensor, humidity sensor, and CO2 sensor; detecting the ATP content of target microorganisms and other microorganisms using the ATP bioluminescence detector, or detecting the turbidity of the culture environment using the online turbidimeter, to obtain growth and metabolic information and concentration change information of target microorganisms and other microorganisms, and transmitting the detection data to the control module in real time.

[0093] Creating a sterile or low-contamination environment in some embodiments includes: when the control module determines, based on detection data, that the level of contaminants in the culture environment exceeds a preset threshold, automatically triggering the ultraviolet lamp or ozone generator to start a sterilization program, with the sterilization time and intensity adaptively adjusted according to the degree of contamination; physically isolating the culture space through the air isolation device to prevent outside air from entering; using the filtration system to efficiently filter the air entering the culture space to remove microbial particles from the air; and adjusting the oxygen content in the culture environment through the nitrogen filling system to inhibit the growth of aerobic bacteria.

[0094] In some embodiments, uploading real-time data to the backend and automatically reducing the culture rate or initiating ultraviolet sterilization when the level of contaminants exceeds the limit includes: the IoT module encrypting the real-time collected environmental parameters and contaminant detection data and uploading them to the backend server in real time; the backend server presets a safety threshold for the level of contaminants, and when the detected level of contaminants exceeds the safety threshold, the backend server sends a command to the control module, and the control module automatically reduces the temperature of the culture environment to reduce the culture rate, or triggers the ultraviolet lamp to start the sterilization operation, while recording the time of the event and the operation process, and generating alarm information to notify the operator.

[0095] In some embodiments, the modular programming of the environment includes: through the operation interface of the control module, the operator can program and set the temperature, pH value, dissolved oxygen concentration, oxygen content, humidity and CO2 concentration in the culture environment according to different microbial culture needs, and preset different culture modes; store the different culture modes as program templates, which can be called at any time as needed; during the culture process, the environmental parameters are automatically adjusted according to the preset program templates to realize the programmed control of the culture environment.

[0096] In some embodiments, constructing anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and coordinating high-frequency colony count monitoring after microbial inoculation, includes: selecting or customizing anaerobic, aerobic, or microaerobic culture modes through the control module according to the aerobic characteristics of the microorganisms; controlling the oxygen concentration in the culture environment to the target range by adjusting the nitrogen filling system and air filtration system; after microbial inoculation, initiating a high-frequency colony count monitoring program; using image recognition technology or fluorescence detection technology to detect the number and morphology of colonies in the culture dish at preset time intervals; transmitting the detection results to the control module in real time; and automatically fine-tuning the culture environment parameters according to the colony count change trend.

[0097] In some embodiments, providing a microbial culture matrix to distinguish the optimal culture conditions for different bacterial communities includes: simultaneously running multiple different culture programs, each program corresponding to a different combination of environmental parameters, forming a multidimensional culture matrix including temperature, pH, dissolved oxygen concentration, and oxygen content; inoculating different bacterial communities into culture environments with corresponding parameter combinations to conduct parallel culture experiments; recording the growth data of bacterial communities in each culture environment in real time, including colony count, growth rate, and metabolites; and determining the optimal culture conditions for each bacterial community by statistically analyzing and comparing the growth of bacterial communities under different parameter combinations, forming a microbial community-culture condition database.

[0098] In some embodiments, the construction of a stable state of enriched microorganisms includes: automatically adjusting the culture environment parameters according to the determined optimal culture conditions for each microbial community, so that the target microorganisms are always in the optimal growth environment during the enrichment culture process; maintaining the stability of temperature, pH, dissolved oxygen concentration, and oxygen content in the culture environment through continuous real-time monitoring and feedback adjustment, inhibiting the growth of contaminating bacteria, and ensuring the dominant growth position of the target microorganisms; establishing a dynamic equilibrium model, and adjusting the control strategy in real time according to the changes in environmental parameters during the growth and metabolism of microorganisms, forming a stable enriched microbial culture system, and providing microbial samples with stable composition and quantity.

[0099] It should be noted that those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the light sensitivity-assisted system method and each step described above can be referred to the corresponding process in the environmental control system embodiments for controlling contaminating bacteria during the enrichment of microorganisms described above, and will not be repeated here.

[0100] Please see Figure 3 , Figure 3 This is a schematic block diagram of the control module provided in an embodiment of this application. The control module includes a processor, a memory, and a network interface connected via a device bus, wherein the memory may include a storage medium and internal memory.

[0101] The storage medium may store operating devices and computer programs. The computer program includes program instructions that, when executed, cause the processor to perform an embodiment of any light sensitivity-assisted system method.

[0102] The processor provides computing and control capabilities to support the operation of the entire control module.

[0103] Internal memory provides an environment for the execution of computer programs in non-volatile storage media. When executed by a processor, the computer program enables the processor to execute any environmental control system method based on the control of contaminating bacteria during the culture of enriched microorganisms.

[0104] This network interface is used for network communication, such as sending assigned tasks. Those skilled in the art will understand that... Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the terminal to which the present application is applied. The specific control module may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0105] It should be understood that the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among these, a general-purpose processor can be a microprocessor or any conventional processor.

[0106] In one embodiment, the processor is configured to run a computer program stored in memory to perform the following steps: Modular programming of the environment; We constructed anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and then conducted high-frequency colony count monitoring after inoculation. It provides a microbial culture matrix to distinguish the optimal culture conditions for different bacterial groups and to construct a stable state of enriched microorganisms.

[0107] In some embodiments, the real-time detection of the growth environment of target microorganisms and other microorganisms includes: periodically collecting temperature, pH value, dissolved oxygen concentration, humidity, and CO2 concentration in the culture environment using the thermocouple temperature sensor, electrode-type pH sensor, polar spectrum dissolved oxygen sensor, humidity sensor, and CO2 sensor; detecting the ATP content of target microorganisms and other microorganisms using the ATP bioluminescence detector, or detecting the turbidity of the culture environment using the online turbidimeter, to obtain growth and metabolic information and concentration change information of target microorganisms and other microorganisms, and transmitting the detection data to the control module in real time.

[0108] Creating a sterile or low-contamination environment in some embodiments includes: when the control module determines, based on detection data, that the level of contaminants in the culture environment exceeds a preset threshold, automatically triggering the ultraviolet lamp or ozone generator to start a sterilization program, with the sterilization time and intensity adaptively adjusted according to the degree of contamination; physically isolating the culture space through the air isolation device to prevent outside air from entering; using the filtration system to efficiently filter the air entering the culture space to remove microbial particles from the air; and adjusting the oxygen content in the culture environment through the nitrogen filling system to inhibit the growth of aerobic bacteria.

[0109] In some embodiments, uploading real-time data to the backend and automatically reducing the culture rate or initiating ultraviolet sterilization when the level of contaminants exceeds the limit includes: the IoT module encrypting the real-time collected environmental parameters and contaminant detection data and uploading them to the backend server in real time; the backend server presets a safety threshold for the level of contaminants, and when the detected level of contaminants exceeds the safety threshold, the backend server sends a command to the control module, and the control module automatically reduces the temperature of the culture environment to reduce the culture rate, or triggers the ultraviolet lamp to start the sterilization operation, while recording the time of the event and the operation process, and generating alarm information to notify the operator.

[0110] In some embodiments, the modular programming of the environment includes: through the operation interface of the control module, the operator can program and set the temperature, pH value, dissolved oxygen concentration, oxygen content, humidity and CO2 concentration in the culture environment according to different microbial culture needs, and preset different culture modes; store the different culture modes as program templates, which can be called at any time as needed; during the culture process, the environmental parameters are automatically adjusted according to the preset program templates to realize the programmed control of the culture environment.

[0111] In some embodiments, constructing anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and coordinating high-frequency colony count monitoring after microbial inoculation, includes: selecting or customizing anaerobic, aerobic, or microaerobic culture modes through the control module according to the aerobic characteristics of the microorganisms; controlling the oxygen concentration in the culture environment to the target range by adjusting the nitrogen filling system and air filtration system; after microbial inoculation, initiating a high-frequency colony count monitoring program; using image recognition technology or fluorescence detection technology to detect the number and morphology of colonies in the culture dish at preset time intervals; transmitting the detection results to the control module in real time; and automatically fine-tuning the culture environment parameters according to the colony count change trend.

[0112] In some embodiments, providing a microbial culture matrix to distinguish the optimal culture conditions for different bacterial communities includes: simultaneously running multiple different culture programs, each program corresponding to a different combination of environmental parameters, forming a multidimensional culture matrix including temperature, pH, dissolved oxygen concentration, and oxygen content; inoculating different bacterial communities into culture environments with corresponding parameter combinations to conduct parallel culture experiments; recording the growth data of bacterial communities in each culture environment in real time, including colony count, growth rate, and metabolites; and determining the optimal culture conditions for each bacterial community by statistically analyzing and comparing the growth of bacterial communities under different parameter combinations, forming a microbial community-culture condition database.

[0113] In some embodiments, the construction of a stable state of enriched microorganisms includes: automatically adjusting the culture environment parameters according to the determined optimal culture conditions for each microbial community, so that the target microorganisms are always in the optimal growth environment during the enrichment culture process; maintaining the stability of temperature, pH, dissolved oxygen concentration, and oxygen content in the culture environment through continuous real-time monitoring and feedback adjustment, inhibiting the growth of contaminating bacteria, and ensuring the dominant growth position of the target microorganisms; establishing a dynamic equilibrium model, and adjusting the control strategy in real time according to the changes in environmental parameters during the growth and metabolism of microorganisms, forming a stable enriched microbial culture system, and providing microbial samples with stable composition and quantity.

[0114] It should be noted that those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the processor described above can be referred to the corresponding process in the method embodiments described above, and will not be repeated here.

[0115] The embodiments of this application also provide a computer-readable storage medium storing a computer program, the computer program including program instructions, and the processor executing the program instructions to implement the steps of the light sensitivity auxiliary system method provided in the above embodiments of this application.

[0116] The computer-readable storage medium can be an internal storage unit of the control module described in the foregoing embodiments, such as the hard disk or memory of the control module. Alternatively, the computer-readable storage medium can be an external storage device of the control module, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the control module.

[0117] It should be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of the application. It should be understood that when an element or layer is referred to as “on,” “adjacent to,” “connected to,” or “coupled to” other elements or layers, it may be directly on, adjacent to, connected to, or coupled to other elements or layers, or there may be intervening elements or layers. Conversely, when an element is referred to as “directly on,” “directly adjacent to,” “directly connected to,” or “directly coupled to” other elements or layers, there are no intervening elements or layers. It should be understood that although the terms first, second, third, etc., may be used to describe various elements, components, areas, layers, and / or portions, these elements, components, areas, layers, and / or portions should not be limited by these terms. These terms are merely used to distinguish one element, component, area, layer, or portion from another element, component, area, layer, or portion. Therefore, without departing from the teachings of this application, the first element, component, area, layer, or portion discussed below may be referred to as a second element, component, area, layer, or portion.

[0118] Spatial relation terms such as “below,” “under,” “below,” “under,” “above,” “above,” etc., are used herein for convenience of description to describe the relationship between one element or feature shown in the figure and other elements or features. It should be understood that, in addition to the orientation shown in the figure, spatial relation terms are intended to also include different orientations of the device in use and operation. For example, if the device in the figure is flipped, then the element or feature described as “below,” “under,” or “below” other elements or features will be oriented “above” other elements or features. Therefore, the exemplary terms “below” and “under” can include both above and below orientations. The device may be otherwise oriented (rotated 90 degrees or otherwise) and the spatial descriptive terms used herein will be interpreted accordingly.

[0119] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. When used herein, the singular forms “a,” “an,” and “the” are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising” and / or “including,” when used in this specification, identify the presence of the stated features, integers, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups. When used herein, the term “and / or” includes any and all combinations of the associated listed items.

[0120] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0121] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and these modifications or substitutions should all be covered within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An environmental control system for controlling contaminating bacteria during the cultivation of enriched microorganisms, characterized in that, include: The environmental element acquisition and sensing module is equipped with a thermocouple temperature sensor, an electrode-type pH sensor, a polar spectrum dissolved oxygen sensor, a humidity sensor, and a CO2 sensor. It also integrates an ATP bioluminescence detector or an online turbidimeter for real-time detection of the growth environment of target microorganisms and other bacteria. Sterilization and contamination control modules, including ultraviolet lamps or ozone generators, air isolation devices, filtration systems, and nitrogen filling systems, are used to create sterile or low-contamination environments; The data acquisition department integrates an IoT module to upload real-time data to the backend. When the level of miscellaneous bacteria exceeds the standard, the culture and incubation process is automatically reduced or ultraviolet sterilization is activated. The control module is used for modular programming of the environment, constructing anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and providing a microbial culture matrix in conjunction with high-frequency colony count monitoring after microbial inoculation. This matrix distinguishes the optimal culture conditions for different microbial communities and constructs a stable state of enriched microbial types.

2. The system according to claim 1, characterized in that, The real-time detection of the growth environment of target microorganisms and other microorganisms includes: The temperature, pH value, dissolved oxygen concentration, humidity and CO2 concentration in the culture environment are periodically collected using the thermocouple temperature sensor, electrode pH sensor, polar spectrum dissolved oxygen sensor, humidity sensor and CO2 sensor. The ATP content of the target microorganism and other bacteria is detected by the ATP bioluminescence detector, or the turbidity of the culture environment is detected by the online turbidimeter, so as to obtain the growth and metabolism information and concentration change information of the target microorganism and other bacteria, and the detection data is transmitted to the control module in real time.

3. The system according to claim 1, characterized in that, The creation of a sterile or low-contamination environment includes: When the control module determines that the level of miscellaneous bacteria in the culture environment exceeds a preset threshold based on the detection data, it automatically triggers the ultraviolet lamp or ozone generator to start the sterilization program. The sterilization time and intensity are adaptively adjusted according to the degree of contamination. The air isolation device physically isolates the culture space, preventing outside air from entering. The filtration system is used to efficiently filter the air entering the culture space to remove airborne microbial particles; the nitrogen filling system is used to regulate the oxygen content in the culture environment to inhibit the growth of aerobic bacteria.

4. The system according to claim 1, characterized in that, The process of uploading real-time data to the backend and automatically adjusting the culture time or initiating ultraviolet sterilization when the level of contaminants exceeds the standard includes: The IoT module encrypts the environmental parameters and bacteria detection data collected in real time and uploads them to the backend server in real time. The backend server presets a safety threshold for the level of contaminants. When the detected level of contaminants exceeds the safety threshold, the backend server sends a command to the control module. The control module automatically lowers the temperature of the culture environment to reduce the culture growth rate, or triggers the ultraviolet lamp to start the sterilization operation. At the same time, it records the time of the event and the operation process, and generates an alarm message to notify the operator.

5. The system according to claim 1, characterized in that, The modular programming of the environment includes: Through the operation interface of the control module, operators can program and set the temperature, pH value, dissolved oxygen concentration, oxygen content, humidity and CO2 concentration in the culture environment according to different microbial culture needs, and preset different culture modes. Different culture modes can be stored as program templates and can be called up at any time as needed. During the culture process, environmental parameters are automatically adjusted according to the preset program templates to achieve programmed control of the culture environment.

6. The system according to claim 5, characterized in that, The aforementioned construction of anaerobic, aerobic, and microaerobic condition combinations based on the aerobicity of microorganisms, combined with high-frequency colony count monitoring after inoculation, includes: Based on the aerobic characteristics of microorganisms, the control module can select or customize anaerobic, aerobic, or microaerobic culture modes, and adjust the nitrogen filling system and air filtration system to control the oxygen concentration in the culture environment to the target range. After inoculation, a high-frequency colony count monitoring program is initiated. Using image recognition or fluorescence detection technology, the number and morphology of colonies in the culture dish are detected at preset time intervals. The detection results are transmitted to the control module in real time. The control module automatically fine-tunes the culture environment parameters based on the colony count change trend.

7. The system according to claim 6, characterized in that, The provision of a microbial culture matrix, which distinguishes the optimal culture conditions for different bacterial groups, includes: Multiple different culture programs are run simultaneously, each program corresponding to a different combination of environmental parameters, forming a multi-dimensional culture matrix that includes temperature, pH, dissolved oxygen concentration and oxygen content; Different bacterial groups were inoculated into culture environments with corresponding parameter combinations to conduct parallel culture experiments; Real-time recording of microbial growth data in various culture environments, including colony count, growth rate, and metabolites; By statistically analyzing and comparing the growth of microbial communities under different parameter combinations, the optimal culture conditions for each microbial community are determined, forming a microbial community-culture condition database.

8. The system according to claim 7, characterized in that, The construction of the enriched microbial type homeostasis includes: Based on the determined optimal culture conditions for each microbial community, the culture environment parameters are automatically adjusted to ensure that the target microorganisms are always in the optimal growth environment during the enrichment culture process. Through continuous real-time monitoring and feedback adjustment, the temperature, pH, dissolved oxygen concentration and oxygen content in the culture environment are kept stable, the growth of miscellaneous bacteria is inhibited, and the dominant growth position of the target microorganism is ensured. A dynamic equilibrium model is established to adjust the control strategy in real time according to the changes in environmental parameters during the growth and metabolism of microorganisms, thereby forming a stable enriched microbial culture system and providing microbial samples with stable composition and quantity.

9. A method for a light sensitivity-assisted system, characterized in that, The method, applied to any one of claims 1-8 for controlling contaminating bacteria during enrichment microbial culture, comprises: Modular programming of the environment; We constructed anaerobic, aerobic, and microaerobic condition combinations based on the aerobic nature of microorganisms, and then conducted high-frequency colony count monitoring after inoculation. It provides a microbial culture matrix to distinguish the optimal culture conditions for different bacterial groups and to construct a stable state of enriched microorganisms.

10. A control module, characterized in that, The control module includes a memory and a processor; The memory is used to store computer programs; The processor is configured to execute the computer program and, in executing the computer program, implement the method as described in claim 9.

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