Real-time in-situ online monitoring method and device for microorganisms or enzymes

Abstract

The present disclosure relates to a real-time in-situ online monitoring method and device for microorganisms or enzymes, and relates to the field of organism monitoring technology, which mainly relies on biosensors, optical imaging technology and electrochemical sensing technology. Biosensors combine with target microorganisms or enzymes through specific biological recognition elements to produce biochemical reactions, which are converted into detectable signals. Optical imaging technology uses the principles of fluorescence, phosphorescence or light scattering to monitor the location and concentration of microorganisms or enzymes in real time. Electrochemical sensing technology monitors the activity of microorganisms or enzymes in real time by measuring the current or voltage changes generated by the catalytic reaction of microorganisms or enzymes. It has the advantages of high sensitivity, strong real-time performance and in-situ online monitoring, and is widely used in biomedicine, environmental monitoring, food safety and other fields.

Description

Technical Field

[0001] The present disclosure relates to the technical field of organism monitoring, and in particular, to a real-time in-situ online monitoring method and device for microorganisms or enzymes. Background Art

[0002] With the research and development of organisms such as microorganisms and enzymes, they are widely used in biomedicine, environmental monitoring, food safety and other fields. In different fields, organisms such as microorganisms and enzymes have different functions.

[0003] Furthermore, the demand for monitoring various data of organisms such as microorganisms or enzymes is becoming more and more common, for example, monitoring the activity, concentration and quantity of organisms such as microorganisms or enzymes. Summary of the invention

[0004] The purpose of the present disclosure is to provide a real-time in-situ online monitoring method and device for microorganisms or enzymes.

[0005] In order to achieve the above-mentioned objectives, in a first aspect, the present disclosure provides a real-time in-situ online monitoring method for a microorganism or an enzyme, comprising: acquiring real-time in-situ monitoring data of a target organism, the real-time in-situ monitoring data comprising first monitoring data collected by a biosensor, second monitoring data collected by an optical imaging sensor, and third monitoring data collected by an electrochemical sensor, and the target organism is a microorganism or an enzyme; determining first monitoring information of the target organism according to the first monitoring data, the first monitoring information comprising quantity and type; determining second monitoring information of the target organism according to the first monitoring information and the second monitoring data, the second monitoring information comprising location and concentration; determining third monitoring information of the target organism according to the first monitoring information and the third monitoring data, the third monitoring information comprising activity; determining a monitoring result of the target organism according to the first monitoring information, the second monitoring information, the third monitoring information, and reference monitoring information, the reference monitoring information matching the monitoring requirement of the target organism.

[0006] Optionally, the biosensor includes a first biometric recognition element and a second biometric recognition element, the first monitoring data includes a first electrical signal obtained by combining the first biometric recognition element with the target organism and a second electrical signal obtained by combining the second biometric recognition element with the target organism, and determining the first monitoring information of the target organism based on the first monitoring data includes: determining the number of the target organisms based on the first electrical signal; determining the type of the target organism based on the second electrical signal; and determining the first monitoring information based on the number and the type.

[0007] Optionally, the second monitoring data includes multiple optical images, and determining the second monitoring information of the target organism based on the first monitoring information and the second monitoring data includes: according to the first monitoring information, marking the regions of interest in the multiple optical images to obtain multiple processed optical images; inputting the multiple processed optical images into a pre-trained monitoring model to obtain prediction information corresponding to the multiple processed optical images output by the pre-trained monitoring model, each of the prediction information includes position and concentration; determining the second monitoring information based on the prediction information corresponding to the multiple processed optical images.

[0008] Optionally, the marking process of the regions of interest in the multiple optical images according to the first monitoring information to obtain a plurality of processed optical images includes: marking a first region of interest in the multiple optical images according to the quantity to obtain a plurality of processed first optical images, wherein the first region of interest is related to the position of the target organism; marking a second region of interest in the multiple processed first optical images according to the quantity and the type to obtain a plurality of processed second optical images, wherein the second region of interest is related to the concentration of the target organism.

[0009] Optionally, the real-time in-situ online monitoring method also includes: obtaining a training data set, the training data set including a plurality of first sample optical images and a plurality of second sample optical images of the target organism, each first sample optical image being marked with a first sample region of interest related to position or a second sample region of interest related to concentration, each second sample image being marked with a first sample region of interest related to position and a second sample region of interest related to concentration, each first sample optical image and each second sample optical image corresponding to a position label and a concentration label; performing initial training on a monitoring model to be trained according to the plurality of second sample optical images to obtain an initially trained monitoring model; testing the initially trained monitoring model according to the plurality of first sample optical images and the position labels and concentration labels respectively corresponding to the plurality of first sample optical images to obtain a model test result; performing optimization training on the monitoring model to be trained according to the model test result to obtain the pre-trained monitoring model.

[0010] Optionally, the electrochemical sensor includes multiple electrode elements, and the third monitoring data includes multiple electrical signals monitored after the target organism is respectively introduced into the multiple electrode elements, and determining the third monitoring information of the target organism based on the first monitoring information and the third monitoring data includes: determining activity monitoring values ​​corresponding to the multiple electrical signals respectively; determining activity monitoring influence values ​​based on the first monitoring information, the activity monitoring influence values ​​including influence values ​​corresponding to the multiple electrode elements respectively; determining the third monitoring information based on the activity monitoring values ​​corresponding to the multiple electrical signals respectively and the activity monitoring influence values.

[0011] Optionally, the reference monitoring information includes: first reference monitoring information, second reference monitoring information and third reference monitoring information, the first reference monitoring information includes quantity and type, the second reference monitoring information includes location and concentration, and the third reference monitoring information includes activity, and determining the monitoring result of the target organism based on the first monitoring information, the second monitoring information, the third monitoring information and the reference monitoring information includes: comparing the first reference monitoring information with the first monitoring information to obtain a first comparison result; comparing the second reference monitoring information with the second monitoring information to obtain a second comparison result; comparing the third reference monitoring information with the third monitoring information to obtain a third comparison result; and determining the monitoring result of the target organism based on the first comparison result, the second comparison result and the third comparison result.

[0012] Optionally, the monitoring requirement of the target organism is to monitor whether the survival state of the target organism is abnormal, the reference monitoring information is historical monitoring information, and the monitoring result is used to characterize whether the survival state of the target organism is abnormal. The real-time in-situ online monitoring method also includes: if the monitoring result characterizes that the survival state of the target organism is abnormal, determining an abnormal processing strategy according to the first monitoring information, the concentration and the third monitoring information, and the abnormal processing strategy is used to instruct to add a first auxiliary organism to the culture environment of the target organism; if the monitoring result characterizes that the survival state of the target organism is normal, determining a normal processing strategy according to the number, the second monitoring information and the third monitoring information, and the normal processing strategy is used to instruct to increase the number of second auxiliary organisms in the culture environment of the target organism; the first auxiliary organism and the second auxiliary organism are both organisms that have an auxiliary effect on the survival state of the target organism, and the auxiliary effect of the first auxiliary organism is higher than the auxiliary effect of the second auxiliary organism.

[0013] Optionally, the monitoring requirement of the target organism is to monitor whether the culture environment of the target organism meets the preset requirements, the reference monitoring information is the preset monitoring information, and the monitoring result is used to characterize whether the culture environment of the target organism meets the preset requirements. The real-time in-situ online monitoring method also includes: if the monitoring result characterizes that the culture environment of the target organism meets the preset requirements, determining a culture environment expansion strategy based on the first monitoring information, and the culture environment expansion strategy is used to indicate the expansion of the culture environment of the target organism; if the monitoring result characterizes that the current culture environment does not meet the preset requirements, determining a culture environment improvement strategy based on the third monitoring information, and the culture environment improvement strategy is used to indicate the improvement of the culture environment of the target organism.

[0014] In a second aspect, the present disclosure provides a real-time in-situ online monitoring device for microorganisms or enzymes, comprising: a biosensor for collecting first monitoring data; an optical imaging sensor for collecting second monitoring data; an electrochemical sensor for collecting third monitoring data; and a monitoring device, which is communicatively connected to the biosensor, the optical imaging sensor and the electrochemical sensor respectively, and is used to execute the real-time in-situ online monitoring method for microorganisms or enzymes as described in the first aspect.

[0015] Through the above technical solution, different types of monitoring data are collected by biosensors, optical imaging sensors and electrochemical sensors respectively, and monitoring information of multiple dimensions is determined by using different types of monitoring data. Moreover, the monitoring information determined based on the monitoring data of the biosensor can also be used to determine other monitoring information. The monitoring results of the target organism can be determined by combining the monitoring information of multiple dimensions and the monitoring information that matches the monitoring needs. Therefore, this technical solution combines multiple sensors to determine the monitoring information of multiple dimensions, and finally realizes the monitoring of microorganisms or enzymes. It has the advantages of high sensitivity, strong real-time performance and in-situ online monitoring, and can be widely used in biomedicine, environmental monitoring, food safety and other fields.

[0016] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0018] Figure 1 It is a block diagram of a real-time in-situ online monitoring device for microorganisms or enzymes according to an exemplary embodiment.

[0019] Figure 2The figure is a flow chart of a real-time in-situ online monitoring method of a microorganism or an enzyme according to an exemplary embodiment.

[0020] Figure 3 The figure is a schematic diagram of a biological body monitoring method according to an exemplary embodiment.

[0021] Figure 4 The figure is an example diagram showing a strategy for identifying a region of interest according to an exemplary embodiment.

[0022] Figure 5 It is a block diagram of another real-time in-situ online monitoring device for microorganisms or enzymes according to an exemplary embodiment.

[0023] Figure 6 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0024] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0025] With the research and development of organisms such as microorganisms and enzymes, they are widely used in biomedicine, environmental monitoring, food safety and other fields. In different fields, organisms such as microorganisms and enzymes have different functions.

[0026] Furthermore, the demand for monitoring various data of organisms such as microorganisms or enzymes is becoming more and more common, for example, monitoring the activity, concentration and quantity of organisms such as microorganisms or enzymes.

[0027] In related technologies, biosensors are usually used to monitor relevant data of microorganisms or enzymes. This monitoring method has a relatively single monitoring dimension and cannot be widely used in biomedicine, environmental monitoring, food safety and other fields.

[0028] Based on this, the embodiment of the present disclosure provides a technical solution, in which different types of monitoring data are collected respectively by biosensors, optical imaging sensors and electrochemical sensors, and monitoring information of multiple dimensions is determined by using different types of monitoring data. Moreover, the monitoring information determined based on the monitoring data of the biosensor can also be used to determine other monitoring information. The monitoring results of the target organism can be determined by combining the monitoring information of multiple dimensions and the monitoring information that matches the monitoring requirements. Therefore, the technical solution determines the monitoring information of multiple dimensions by combining multiple sensors, and finally realizes the monitoring of microorganisms or enzymes. It has the advantages of high sensitivity, strong real-time performance and in-situ online monitoring, and can be widely used in the fields of biomedicine, environmental monitoring and food safety.

[0029] Figure 1 is a block diagram of a real-time in-situ online monitoring device for microorganisms or enzymes according to an exemplary embodiment. Figure 1 As shown, the device includes: a biosensor, an optical imaging sensor, an electrochemical sensor and a monitoring device, wherein the monitoring device is respectively connected to the biosensor, the optical imaging sensor and the electrochemical sensor for communication.

[0030] Biosensors are instruments that are sensitive to biological substances and convert their related information into electrical signals for detection. They are analytical tools or systems composed of fixed biological sensitive materials as identification elements (including enzymes, antibodies, antigens, microorganisms, cells, tissues, nucleic acids and other biologically active substances), appropriate physical and chemical transducers (such as oxygen electrodes, photosensitive tubes, field effect tubes, piezoelectric crystals, etc.) and signal amplification devices. Biosensors have the functions of receivers and converters.

[0031] Regarding optical imaging sensors, an image can contain a large amount of biological information. Whether in the field of biological or medical research, scientists hope to obtain an intuitive, clear static or dynamic image to analyze the characteristics and status of specific areas of cells or organisms, and even the expression and distribution of specific molecules. Among them, bio-optical imaging is widely used due to its mature detection instruments, high sensitivity, high contrast, high resolution, intuitive imaging, fast imaging speed and non-destructive detection. It has important practical significance and application prospects in exploring the pathogenesis, clinical manifestations, genetic lesions of diseases, understanding the corresponding physiological and pathological information, disease diagnosis and the development of new medical methods.

[0032] Bio-optical imaging refers to the method of obtaining biological information by imaging cells, tissues or even organisms using optical detection methods combined with optical detection molecules. If bio-optical imaging is limited to the visible light and near-infrared light range, bio-optical imaging can be divided into fluorescence imaging, bioluminescence imaging, photoacoustic imaging and optical tomography imaging according to different detection methods.

[0033] Regarding electrochemical sensors, the electrochemical measurement principle is adopted. After pathogenic microorganisms or their products are introduced on the electrode, they are detected based on the electrical signals induced on the electrode surface. This detection method directly reflects the relationship between pathogenic microorganisms and electrochemical reactions. Taking silver electrodes as an example, it is easy to reduce silver salts to silver electrodes through surface modification technology. During the oxidative metabolism of bacteria, pathogenic microorganisms release electrons, reducing silver ions to metallic silver on the silver electrode.

[0034] Therefore, these three sensors can collect different types of monitoring data according to the configured monitoring requirements.

[0035] Furthermore, the monitoring device can obtain different types of monitoring data collected by the three sensors to achieve monitoring of the organism. The monitoring device can be a computer or other intelligent device with data processing, visualization, and interaction functions.

[0036] In the embodiments of the present disclosure, the monitoring object may be a microorganism or an enzyme. In different application fields, the monitoring object may be different microorganisms or different enzymes. The specific microorganisms or enzymes are not limited herein.

[0037] Figure 2 is a flow chart of a real-time in-situ online monitoring method for microorganisms or enzymes according to an exemplary embodiment. The method can be applied to Figure 1 The device shown. Figure 2 As shown, the method comprises the following steps:

[0038] Step S21, acquiring real-time in-situ monitoring data of the target organism, the real-time in-situ monitoring data including first monitoring data collected by a biosensor, second monitoring data collected by an optical imaging sensor, and third monitoring data collected by an electrochemical sensor, the target organism being a microorganism or an enzyme.

[0039] Step S22, determining first monitoring information of the target organism according to the first monitoring data, where the first monitoring information includes quantity and type.

[0040] Step S23, determining second monitoring information of the target organism according to the first monitoring information and the second monitoring data, where the second monitoring information includes a position and a concentration.

[0041] Step S24, determining third monitoring information of the target organism according to the first monitoring information and the third monitoring data, where the third monitoring information includes activity.

[0042] Step S25, determining the monitoring result of the target organism according to the first monitoring information, the second monitoring information, the third monitoring information and the reference monitoring information, and the reference monitoring information matches the monitoring requirement of the target organism.

[0043] In step S21, the real-time in-situ monitoring data involves monitoring data collected by three sensors respectively.

[0044] Figure 3 is a schematic diagram of a biological monitoring method according to an exemplary embodiment. Figure 3 As shown, the target organism is cultured in a monitoring environment, and different sensors can obtain monitoring data through different in-situ monitoring methods. These monitoring data can be transmitted to the monitoring equipment so that the monitoring equipment can obtain the monitoring data online in real time.

[0045] Regarding the biosensor, as an optional embodiment, it includes a first biometric recognition element and a second biometric recognition element, and the first monitoring data includes a first electrical signal obtained by combining the first biometric recognition element with the target organism and a second electrical signal obtained by combining the second biometric recognition element with the target organism.

[0046] As can be seen from the above description of biosensors, biosensors react with target organisms through biological recognition elements to obtain changing electrical signals, which can be used to monitor corresponding parameters of the target organisms.

[0047] Since the first monitoring information includes quantity and type, the quantity and type can be detected separately through different biometric recognition elements. Thus, the first biometric recognition element can be used to monitor the quantity, and the second biometric recognition element can be used to monitor the type.

[0048] In some embodiments, the first biometric recognition element and the second biometric recognition element can be configured according to the target organism to ensure that they can react with the target organism to generate an electrical signal, which is not limited here, or refer to mature technologies in the field.

[0049] Correspondingly, step S22 includes: determining the number of target organisms according to the first electrical signal; determining the type of the target organisms according to the second electrical signal; and determining first monitoring information according to the number and type.

[0050] In this embodiment, based on the first electrical signal and the second electrical signal, analysis can be performed to determine the quantity and type, and then determine the first monitoring information. Regarding the analysis method of the electrical signal, reference can be made to the mature biosensor technology in the field, which will not be described in detail here. For example, regarding the type, different types of organisms correspond to different electrical signal thresholds, etc. Regarding the quantity, different quantities correspond to different instantaneous electrical signal changes, etc.

[0051] In step S23, the first monitoring information and the second monitoring data are combined to determine the second monitoring information.

[0052] With reference to the aforementioned implementation of the optical imaging sensor, the second monitoring data may include multiple optical images. For the specific acquisition method of the optical images, refer to the mature technology in the art. The multiple optical images correspond to different culture environment monitoring areas to improve the monitoring accuracy. Therefore, optical images can be acquired for each of the multiple culture environment monitoring areas to obtain multiple optical images.

[0053] Further, step S23 may include: based on the first monitoring information, marking the areas of interest in the multiple optical images to obtain multiple processed optical images; inputting the multiple processed optical images into a pre-trained monitoring model to obtain prediction information corresponding to the multiple processed optical images output by the pre-trained monitoring model, each prediction information including position and concentration; determining the second monitoring information based on the prediction information corresponding to the multiple processed optical images.

[0054] In this embodiment, the first monitoring information can be used to identify the region of interest in multiple optical images to facilitate the pre-trained monitoring model to predict the position and concentration.

[0055] As an optional implementation, based on the first monitoring information, the regions of interest in the multiple optical images are marked and processed to obtain multiple processed optical images, including: marking the first regions of interest in the multiple optical images according to the quantity to obtain multiple processed first optical images, wherein the first regions of interest are related to the position of the target organism; marking the second regions of interest in the multiple processed first optical images according to the quantity and type to obtain multiple processed second optical images, wherein the second regions of interest are related to the concentration of the target organism.

[0056] In this embodiment, the number can be used to identify the region of interest associated with the position of the target organism. For example, the number can determine the position distribution, for example, the more the number, the denser the position distribution. Therefore, the more the number, the more the number of first regions of interest in the optical image, and the denser the distribution.

[0057] And, the number and type can be used to identify the region of interest related to the concentration of the target organism. For example, the number can determine the concentration distribution, for example, the greater the number, the denser the concentration distribution. And, the type can also determine the concentration distribution, for example, the concentration distribution of some types is densely distributed, and the concentration distribution of some types is sparsely distributed. Therefore, the number and type can be analyzed to determine the number and distribution of the second region of interest.

[0058] In some embodiments, different quantities corresponding to the first ROI identification methods may be preconfigured, and different quantities and types corresponding to the second ROI identification methods may be preconfigured. The ROI identification methods may include quantity and distribution.

[0059] Furthermore, based on the correspondence between the first monitoring information and the pre-configured identification method, the identification method of the region of interest can be determined.

[0060] Figure 4is a schematic diagram showing a strategy for identifying a region of interest according to an exemplary embodiment. Figure 4 In the above, both the first region of interest and the second region of interest involve four identification methods, including: a clustered and large number identification method, a dispersed and large number identification method, a clustered and small number identification method, and a dispersed and small number identification method. The four identification methods of the first region of interest correspond to four different quantity conditions, and the four identification methods of the second region of interest correspond to four different quantity + type conditions.

[0061] In some embodiments, based on the quantity and type, the identification method of the regions of interest of the multiple optical images is determined, and then the regions of interest are identified separately.

[0062] It can be understood that, for an optical image, the first region of interest and the second region of interest identified therein do not affect each other.

[0063] Furthermore, a plurality of processed optical images are sequentially input into the pre-trained monitoring model to obtain prediction information corresponding to the plurality of processed optical images output by the pre-trained monitoring model, each piece of prediction information involves position and concentration.

[0064] Regarding the location, it may be location distribution information, which may involve multiple location coordinates. Regarding the concentration, it is different from the quantity, and characterizes the concentration of the target organism in the entire monitoring environment, which may depend on parameters such as the size of the organism.

[0065] Regarding the pre-trained monitoring model, it can predict the location and concentration based on the annotated regions of interest.

[0066] As an optional implementation, the training process of the monitoring model includes: obtaining a training data set, the training data set including multiple first sample optical images and multiple second sample optical images of the target organism, each first sample optical image is marked with a first sample region of interest related to the position or a second sample region of interest related to the concentration, each second sample image is marked with a first sample region of interest related to the position and a second sample region of interest related to the concentration, and each first sample optical image and each second sample optical image has a corresponding position label and a concentration label; according to the multiple second sample optical images, the monitoring model to be trained is initially trained to obtain an initially trained monitoring model; according to the position labels and concentration labels corresponding to the multiple first sample optical images and the multiple first sample optical images, the initially trained monitoring model is tested to obtain a model test result; according to the model test result, the monitoring model to be trained is optimized and trained to obtain a pre-trained monitoring model.

[0067] In some embodiments, the training data set can be obtained through prior data, and the labels and regions of interest involved can be manually annotated.

[0068] In this embodiment, the training data set involves two types of samples. The first type of sample only identifies a region of interest related to position or a region of interest related to concentration, and the second type of sample identifies both regions of interest.

[0069] Furthermore, the monitoring model to be trained can be first trained using samples with two regions of interest marked, so that the monitoring model trained for the first time can predict the position and concentration based on the optical image with the regions of interest marked.

[0070] Furthermore, the initially trained monitoring model can be tested using samples with a region of interest to obtain a model test result. The model test result can characterize the prediction accuracy of the model for samples with a region of interest. It can be understood that the greater the gap between the model prediction information and the label, the lower the prediction accuracy.

[0071] Furthermore, if the model test results indicate that the prediction accuracy is low, the model can be optimized and trained using multiple first sample optical images and the position labels and concentration labels corresponding to the multiple first sample optical images to cope with the situation where the region of interest is insufficiently identified or the identification accuracy is low.

[0072] If the model test result indicates that the prediction accuracy is high, the model can be optimized and trained using a plurality of first sample optical images and part of the data in the position labels and concentration labels respectively corresponding to the plurality of first sample optical images.

[0073] Therefore, the pre-trained monitoring model can ensure the prediction accuracy in various identification scenarios of regions of interest.

[0074] In step S24, third monitoring information of the target organism is determined according to the first monitoring information and the third monitoring data, where the third monitoring information includes activity.

[0075] As an optional embodiment, the electrochemical sensor includes multiple electrode elements, and the third monitoring data includes multiple electrical signals monitored after the target organism is introduced into the multiple electrode elements respectively. Correspondingly, step S24 includes:

[0076] Determine activity monitoring values ​​corresponding to multiple electrical signals respectively; determine activity monitoring influence values ​​based on the first monitoring information, the activity monitoring influence values ​​including influence values ​​corresponding to multiple electrode elements respectively; determine third monitoring information based on the activity monitoring values ​​and activity monitoring influence values ​​corresponding to the multiple electrical signals respectively.

[0077] In this embodiment, the electrochemical sensor may be configured with a variety of electrode elements, and the various electrode elements may all produce chemical reactions with the target organism to generate corresponding electrical signals.

[0078] Therefore, multiple activity monitoring values ​​can be determined according to multiple electrical signals. Regarding the conversion relationship between electrical signals and activity monitoring values, there can be different implementations in combination with different application scenarios, which can refer to the mature electrochemical sensor technology in the field and will not be introduced in detail here.

[0079] In some embodiments, due to in-situ monitoring, the number and type of target organisms may affect the chemical reaction effect. Therefore, the activity monitoring impact value can be determined based on the chemical reaction types between various electrode elements and target organisms, taking into account the influence of different numbers and types.

[0080] The activity monitoring influence value may be regarded as a weight of multiple activity monitoring values, and is used to integrate the multiple activity monitoring values ​​to obtain a final activity monitoring value.

[0081] In some embodiments, an activity monitoring influence table may be pre-configured, in which multiple electrode elements are involved, and these multiple electrode elements have different activity monitoring influence values ​​corresponding to different quantities and types. Therefore, the activity monitoring influence value may be determined by searching the influence table.

[0082] In some embodiments, different chemical reaction intensities between electrode elements and target organisms can be configured. For example, the faster the chemical reaction is generated, the higher the chemical reaction intensity is. Next, the relationship between the chemical reaction intensity, quantity, type and activity monitoring impact value is configured, and the activity monitoring impact value can be determined based on the relationship. For example, the higher the chemical reaction intensity, the more quantity, the higher the type rarity, the greater the activity monitoring impact value; the lower the chemical reaction intensity, the smaller the quantity, the lower the type rarity, the smaller the activity monitoring impact value.

[0083] Then, the activity monitoring values ​​and corresponding activity monitoring influence values ​​corresponding to the various electrical signals are weighted and summed to determine the final activity value.

[0084] In step S25, the three types of monitoring information and the reference monitoring information may be combined to determine the monitoring result.

[0085] The reference monitoring information matches the monitoring requirements of the target organism, that is, different reference monitoring information can be configured according to different monitoring requirements to obtain monitoring results.

[0086] As an optional implementation, the reference monitoring information includes: first reference monitoring information, second reference monitoring information and third reference monitoring information, the first reference monitoring information includes quantity and type, the second reference monitoring information includes location and concentration, and the third reference monitoring information includes activity.

[0087] Correspondingly, step S25 may include: comparing the first reference monitoring information with the first monitoring information to obtain a first comparison result; comparing the second reference monitoring information with the second monitoring information to obtain a second comparison result; comparing the third reference monitoring information with the third monitoring information to obtain a third comparison result; and determining the monitoring result of the target organism based on the first comparison result, the second comparison result and the third comparison result.

[0088] In this embodiment, the monitoring result can be determined by comparing the monitoring information of each type.

[0089] For example, the monitoring requirement of the target organism is to monitor whether the survival state of the target organism is abnormal, and the reference monitoring information is historical monitoring information. Then, the same type of monitoring information is compared with the historical monitoring information. If the comparison results of the three types of monitoring information and the historical monitoring information mostly indicate that the monitoring information has a large change, such as a decrease in quantity, activity, concentration, and sparse location distribution, then the survival state of the target organism is abnormal.

[0090] For example, the monitoring requirement of the target organism is to monitor whether the culture environment of the target organism meets the preset requirements, and the reference monitoring information is the preset monitoring information, wherein the preset monitoring information is the estimated monitoring information of the organism. Then, the same type of monitoring information is compared with the reference monitoring information. If the comparison results of the three types of monitoring information and the reference monitoring information show that most of the characteristics do not meet the reference monitoring information (have a large difference with the reference monitoring information), for example, the number difference, activity difference, concentration difference, and location distribution difference, etc., then the culture environment of the target organism does not meet the preset requirements.

[0091] In the embodiment of the present disclosure, the role of the category is to identify the type of the target organism, so that when comparing, various information of organisms of the same category can be compared, or various information of organisms of similar categories can be compared.

[0092] In some embodiments, after the monitoring results are obtained, they can be applied.

[0093] As an optional application method, if the monitoring result indicates that the survival state of the target organism is abnormal, an abnormal processing strategy is determined based on the first monitoring information, concentration and third monitoring information, and the abnormal processing strategy is used to indicate the addition of a first auxiliary organism to the culture environment of the target organism; if the monitoring result indicates that the survival state of the target organism is normal, a normal processing strategy is determined based on the quantity, second monitoring information and third monitoring information, and the normal processing strategy is used to indicate increasing the number of second auxiliary organisms in the culture environment of the target organism; both the first auxiliary organism and the second auxiliary organism are organisms that have an auxiliary effect on the survival state of the target organism, and the auxiliary effect of the first auxiliary organism is higher than that of the second auxiliary organism.

[0094] In this embodiment, the first auxiliary organism can be an organism that can increase the concentration, quantity and activity of the target organism. Therefore, according to the corresponding relationship between the organisms, the organism that has an auxiliary effect on the survival state of the target organism can be added to the culture environment (i.e., the monitoring environment) of the target organism.

[0095] In some embodiments, when determining the first auxiliary organism, the type, quantity, concentration and activity can be referred to. For example, the general type of auxiliary organism is first determined based on the auxiliary relationship between the types, and then the appropriate auxiliary organism is selected based on the specific quantity, concentration and activity.

[0096] The second auxiliary organism can be an organism that can increase the concentration, quantity and activity of the target organism, and the organism already exists in the culture environment, so the quantity of the organism in the culture environment can be directly increased to enhance the auxiliary effect and ensure the survival status of the target organism.

[0097] In some embodiments, when determining the second auxiliary organism, the number, location, concentration and activity may be referenced. For example, a suitable auxiliary organism may be selected from existing auxiliary organisms according to the specific number, location distribution, concentration and activity.

[0098] Regarding the mutual assistance relationship between organisms, reference can be made to the mature technology in the field, and no detailed introduction is given here. For example, some microorganisms need to rely on objects such as antibodies or enzymes to increase concentration and activity.

[0099] As an optional application method, if the monitoring results indicate that the culture environment of the target organism meets the preset requirements, a culture environment expansion strategy is determined based on the first monitoring information, and the culture environment expansion strategy is used to indicate the expansion of the culture environment of the target organism; if the monitoring results indicate that the current culture environment does not meet the preset requirements, a culture environment improvement strategy is determined based on the third monitoring information, and the culture environment improvement strategy is used to indicate the improvement of the culture environment of the target organism.

[0100] In this embodiment, the culture environment expansion strategy may be: duplicating the culture environment of the target organism and continuing to culture more target organisms. Therefore, it is necessary to select the specifications of the duplicate culture environment in combination with the type and quantity. For example, the type is used to constrain the type of organisms in the duplicate culture environment, and the quantity is used to constrain the specifications of the culture environment. For example, when the quantity is large, the specifications of the duplicate culture environment may be reduced.

[0101] The culture environment improvement strategy may be: improving the culture environment of the target organism, for example, adding substances that are more beneficial to the target organism, improving the living environment of the microorganism, etc. Therefore, the improvement strategy may be determined using the third monitoring information. For example, the lower the activity, the more substances that are beneficial to the target organism need to be added, and the higher the environmental quality that needs to be improved, etc.

[0102] It can be understood that in addition to the above two application modes, there may be more application modes in different application fields, which will not be introduced one by one here.

[0103] Figure 5 is a block diagram of another real-time in-situ online monitoring device for microorganisms or enzymes according to an exemplary embodiment. Figure 5 As shown, the device comprises:

[0104] The acquisition module 501 is used to acquire real-time in-situ monitoring data of the target organism, wherein the real-time in-situ monitoring data includes first monitoring data collected by a biosensor, second monitoring data collected by an optical imaging sensor, and third monitoring data collected by an electrochemical sensor, and the target organism is a microorganism or an enzyme.

[0105] The monitoring module 502 is used to determine the first monitoring information of the target organism according to the first monitoring data, wherein the first monitoring information includes the quantity and type; determine the second monitoring information of the target organism according to the first monitoring information and the second monitoring data, wherein the second monitoring information includes the location and concentration; determine the third monitoring information of the target organism according to the first monitoring information and the third monitoring data, wherein the third monitoring information includes the activity; determine the monitoring result of the target organism according to the first monitoring information, the second monitoring information, the third monitoring information and the reference monitoring information, wherein the reference monitoring information matches the monitoring requirement of the target organism.

[0106] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0107] Figure 6FIG. 6 is a block diagram of an electronic device 600 according to an exemplary embodiment. Figure 6 As shown, the electronic device 600 may include: a processor 601 , a memory 602 . The electronic device 600 may also include one or more of a multimedia component 603 , an input / output (I / O) interface 604 , and a communication component 605 .

[0108] The processor 601 is used to control the overall operation of the electronic device 600 to complete all or part of the steps in the above-mentioned real-time in-situ online monitoring method of microorganisms or enzymes. The memory 602 is used to store various types of data to support the operation of the electronic device 600, and these data may include instructions for any application or method used to operate on the electronic device 600, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 602 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. The multimedia component 603 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, which is used to receive external audio signals. The received audio signal may be further stored in the memory 602 or sent through the communication component 605. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 604 provides an interface between the processor 601 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 605 is used for wired or wireless communication between the electronic device 600 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 605 may include: Wi-Fi module, Bluetooth module, NFC module.

[0109] In an exemplary embodiment, the electronic device 600 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to perform the above-mentioned real-time in-situ online monitoring method of microorganisms or enzymes.

[0110] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned real-time in-situ online monitoring method of microorganisms or enzymes are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 602 including program instructions, and the above-mentioned program instructions can be executed by the processor 601 of the electronic device 600 to complete the above-mentioned real-time in-situ online monitoring method of microorganisms or enzymes.

[0111] In another exemplary embodiment, a computer program product is also provided. The computer program product includes a computer program executable by a processor. When the computer program is executed by the processor, the steps of the above-mentioned real-time in-situ online monitoring method of microorganisms or enzymes are implemented.

[0112] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0113] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0114] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A real-time in-situ online monitoring method for microorganisms or enzymes, characterized in that: include: Acquiring real-time in-situ monitoring data of a target organism, the real-time in-situ monitoring data comprising first monitoring data collected by a biosensor, second monitoring data collected by an optical imaging sensor, and third monitoring data collected by an electrochemical sensor, wherein the target organism is a microorganism or an enzyme; Determining first monitoring information of the target organism according to the first monitoring data, wherein the first monitoring information includes quantity and type; Determining second monitoring information of the target organism based on the first monitoring information and the second monitoring data, wherein the second monitoring information includes a location and a concentration; Determining third monitoring information of the target organism based on the first monitoring information and the third monitoring data, wherein the third monitoring information includes activity; determining a monitoring result of the target organism according to the first monitoring information, the second monitoring information, the third monitoring information, and reference monitoring information, wherein the reference monitoring information matches a monitoring requirement of the target organism; The second monitoring data includes a plurality of optical images, and determining the second monitoring information of the target organism according to the first monitoring information and the second monitoring data includes: According to the first monitoring information, marking the regions of interest in the plurality of optical images to obtain a plurality of processed optical images; Inputting a plurality of processed optical images into a pre-trained monitoring model to obtain prediction information corresponding to the plurality of processed optical images output by the pre-trained monitoring model, each of the prediction information including a position and a concentration; determining the second monitoring information according to the prediction information respectively corresponding to the plurality of processed optical images; The step of marking the regions of interest in the plurality of optical images according to the first monitoring information to obtain a plurality of processed optical images includes: According to the number, marking a first region of interest in the plurality of optical images to obtain a plurality of processed first optical images, wherein the first region of interest is related to a position of the target organism; According to the quantity and the type, second regions of interest in the plurality of processed first optical images are marked to obtain a plurality of processed second optical images, wherein the second regions of interest are related to the concentration of the target organism.

2. The real-time in-situ online monitoring method according to claim 1, characterized in that: The biosensor includes a first biometric recognition element and a second biometric recognition element, the first monitoring data includes a first electrical signal obtained by combining the first biometric recognition element with the target organism and a second electrical signal obtained by combining the second biometric recognition element with the target organism, and determining first monitoring information of the target organism according to the first monitoring data includes: determining the number of the target organisms according to the first electrical signal; determining the type of the target organism according to the second electrical signal; The first monitoring information is determined according to the quantity and the type.

3. The real-time in-situ online monitoring method according to claim 1, characterized in that: The real-time in-situ online monitoring method also includes: Acquire a training data set, the training data set comprising a plurality of first sample optical images and a plurality of second sample optical images of the target organism, each of the first sample optical images being marked with a first sample region of interest associated with a position or a second sample region of interest associated with a concentration, each of the second sample images being marked with a first sample region of interest associated with a position and a second sample region of interest associated with a concentration, and each of the first sample optical images and each of the second sample optical images corresponding to a position label and a concentration label; Performing initial training on the monitoring model to be trained according to the plurality of second sample optical images to obtain an initially trained monitoring model; Testing the initially trained monitoring model according to the plurality of first sample optical images and the position labels and concentration labels respectively corresponding to the plurality of first sample optical images to obtain a model testing result; According to the model test result, the monitoring model to be trained is optimized and trained to obtain the pre-trained monitoring model.

4. The real-time in-situ online monitoring method according to claim 1, characterized in that: The electrochemical sensor includes multiple electrode elements, the third monitoring data includes multiple electrical signals monitored after the target organism is introduced into the multiple electrode elements respectively, and the third monitoring information of the target organism is determined according to the first monitoring information and the third monitoring data, including: Determining activity monitoring values ​​corresponding to the multiple electrical signals respectively; determining an activity monitoring influence value according to the first monitoring information, wherein the activity monitoring influence value includes influence values ​​corresponding to the plurality of electrode elements respectively; The third monitoring information is determined according to the activity monitoring values ​​and the activity monitoring influence values ​​respectively corresponding to the multiple electrical signals.

5. The real-time in-situ online monitoring method according to any one of claims 1 to 4, characterized in that: The reference monitoring information includes: first reference monitoring information, second reference monitoring information and third reference monitoring information, wherein the first reference monitoring information includes quantity and type, the second reference monitoring information includes location and concentration, and the third reference monitoring information includes activity. Determining the monitoring result of the target organism according to the first monitoring information, the second monitoring information, the third monitoring information and the reference monitoring information includes: Comparing the first reference monitoring information with the first monitoring information to obtain a first comparison result; comparing the second reference monitoring information with the second monitoring information to obtain a second comparison result; Comparing the third reference monitoring information with the third monitoring information to obtain a third comparison result; A monitoring result of the target organism is determined according to the first comparison result, the second comparison result and the third comparison result.

6. The real-time in-situ online monitoring method according to claim 5, characterized in that: The monitoring requirement of the target organism is to monitor whether the survival state of the target organism is abnormal, the reference monitoring information is historical monitoring information, and the monitoring result is used to characterize whether the survival state of the target organism is abnormal. The real-time in-situ online monitoring method also includes: If the monitoring result indicates that the survival state of the target organism is abnormal, determining an abnormality handling strategy according to the first monitoring information, the concentration and the third monitoring information, the abnormality handling strategy being used to instruct to add a first auxiliary organism to the culture environment of the target organism; If the monitoring result indicates that the survival state of the target organism is normal, determine a normal treatment strategy according to the number, the second monitoring information and the third monitoring information, wherein the normal treatment strategy is used to indicate that the number of the second auxiliary organism in the culture environment of the target organism is increased; The first auxiliary organism and the second auxiliary organism are both organisms that have auxiliary effects on the survival state of the target organism, and the auxiliary effect of the first auxiliary organism is higher than the auxiliary effect of the second auxiliary organism.

7. The real-time in-situ online monitoring method according to claim 5, characterized in that: The monitoring requirement of the target organism is to monitor whether the culture environment of the target organism meets the preset requirements, the reference monitoring information is the preset monitoring information, and the monitoring result is used to characterize whether the culture environment of the target organism meets the preset requirements. The real-time in-situ online monitoring method also includes: If the monitoring result indicates that the culture environment of the target organism meets the preset requirements, determining a culture environment expansion strategy according to the first monitoring information, wherein the culture environment expansion strategy is used to instruct to expand the culture environment of the target organism; If the monitoring result indicates that the current culture environment does not meet the preset requirements, a culture environment improvement strategy is determined according to the third monitoring information, and the culture environment improvement strategy is used to instruct to improve the culture environment of the target organism.

8. A real-time in-situ online monitoring device for microorganisms or enzymes, characterized in that: include: A biosensor, used for collecting first monitoring data; An optical imaging sensor, used for collecting second monitoring data; An electrochemical sensor, used for collecting third monitoring data; A monitoring device is communicatively connected to the biosensor, the optical imaging sensor and the electrochemical sensor respectively, and is used to perform the real-time in-situ online monitoring method of a microorganism or enzyme as described in any one of claims 1 to 7.

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