Synthesis method and synthesis system of light-emitting functional material

By screening particles with high fluorescence intensity using flow cytometry and microscopy, and obtaining microstructural information by combining microscopy and scanning electron microscopy, a relational model was constructed to synthesize luminescent functional materials with excellent performance. This method solves the problem of low screening efficiency in traditional methods and realizes efficient structure-activity relationship research.

CN122290801APending Publication Date: 2026-06-26SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Filing Date
2024-12-26
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In existing technologies, single-particle imaging studies are difficult to efficiently screen out target particle subgroups of functionalized micro/nanomaterials with excellent performance, resulting in time-consuming, labor-intensive, and inefficient structure-property relationship studies.

Method used

Flow cytometry was used to sort dominant particles with fluorescence intensity exceeding 95%. Optical imaging signals and microstructure information were obtained by combining microscopy and scanning electron microscopy. A model of the relationship between microstructure and optical performance was constructed, and luminescent functional materials with the same microstructure were synthesized.

Benefits of technology

This greatly simplifies the traditional structure-property relationship research method, improves R&D efficiency, and yields luminescent functionalized materials with controllable structure and excellent performance.

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Abstract

This application provides a method, system, electronic device, and computer-readable storage medium for synthesizing luminescent functional materials. By providing luminescent functional materials, sorting dominant particles from the luminescent functional materials, obtaining the microstructure information of the dominant particles, constructing a relationship model between the microstructure information and its optical properties, and synthesizing luminescent functional materials with the same microstructure information based on the relationship model, this method greatly simplifies the aimless and labor-intensive traditional structure-property relationship research approach, improves research and development efficiency, and obtains luminescent functional materials with controllable structure and excellent performance.
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Description

Technical Field

[0001] This application relates to the field of materials synthesis technology, and in particular to a method, synthesis system, electronic device, and computer-readable storage medium for synthesizing luminescent functional materials. Background Technology

[0002] For a long time, researchers in the field of materials science have generally believed that a deeper understanding of the structural basis of the physical and chemical properties of materials holds promise for achieving rational material design. By studying the relationship between the properties of functionalized materials and their microstructure, a clear direction can be provided for the rational design of material structures, thereby optimizing the performance of functionalized materials. However, traditional structure-property relationship (SPR) research methods are based on the average behavior of a large number of particles. The inherent structure and degree of functionalization among individual particles are not uniform, thus making it impossible to avoid the interference of such inhomogeneities in SPR research. To overcome this challenge, researchers have begun to turn their attention to emerging single-particle imaging techniques. Single-particle imaging research refers to the real-time imaging monitoring and analysis of individual micro / nano particles using various optical imaging methods such as fluorescence, dark-field, Raman scattering, infrared, and surface plasmon resonance. By performing a one-to-one correspondence analysis between the monitored optical signals and the microstructure of the observed particles, the interference introduced by the inhomogeneities between particles in SPR research can be eliminated. Therefore, single-particle imaging research can be used to search for subgroups of particles with superior properties within the overall functionalized material. By studying the structure-property relationships of these particle subpopulations, corresponding structure-property relationship models can be established to guide the rational design of functionalized materials. Unfortunately, current single-particle imaging studies rarely involve structure-property relationship research on functionalized micro / nanomaterials.

[0003] In the early stages of structure-property relationship (SPR) studies using single-particle imaging, it is necessary to observe a large number of functionalized particles one by one, thereby manually locating and screening target particle subgroups with superior luminescence properties. This often consumes a lot of manpower and time and has a fairly high failure rate. In addition, although SPR studies can provide clear optimization directions for the synthesis optimization of functionalized micro and nanomaterials, they cannot directly improve the efficiency of targeted synthesis of target particle subgroups in a short period of time.

[0004] Based on the above needs, there is an urgent need to develop an efficient method for screening target particle subpopulations and a material-oriented optimization strategy to complete the study of structure-property relationships and synthesis optimization of functional materials in a low-cost and efficient manner, so that the structure-property relationship model can play its due role in material optimization. This has important scientific significance and practical value. Summary of the Invention

[0005] In view of this, this application provides a method for synthesizing luminescent functional materials, a synthesis system, an electronic device, and a computer-readable storage medium to achieve an efficient method for screening target particle subpopulations and a material-oriented optimization strategy.

[0006] To solve the above problems, this application adopts the following technical solution:

[0007] One objective of this application is to provide a method for synthesizing luminescent functional materials, comprising the following steps:

[0008] Step S10: Provide luminescent functional materials;

[0009] Step S20: Sorting the dominant particles in the luminescent functional material;

[0010] Step S30: Acquire the optical imaging signal of the dominant particle;

[0011] Step S40: Obtain the microstructure information of the dominant particles;

[0012] Step S50: Construct a model showing the relationship between the microstructure information and its optical performance;

[0013] Step S60: Based on the relationship model, synthesize luminescent functional materials with the same microstructure information.

[0014] In some embodiments, in the step of providing luminescent functional materials, the luminescent functional materials can be synthesized into hydrogel microspheres, magnetic microspheres or other polymer microspheres by monomer polymerization, microemulsion method, reprecipitation method, self-assembly method or microfluidic method, and then functionalized by using luminescent substrate through covalent modification, electrostatic adsorption or coordination chelation to synthesize the corresponding luminescent functional materials. The luminescent functional materials include photoluminescent materials, electroluminescent materials or chemiluminescent materials.

[0015] In some embodiments, the step of sorting the dominant particles in the luminescent functional material specifically includes the following steps: introducing the luminescent functional material into a flow cytometer, and collecting the dominant particles of the material particles with a fluorescence intensity exceeding 95% after sorting by the flow cytometer.

[0016] In some embodiments, the step of acquiring the optical imaging signal of the dominant particle specifically includes the following steps: acquiring the single-particle optical imaging signal of the dominant particle using a CCD camera on a microscope, wherein the optical imaging signal includes, but is not limited to, a fluorescence imaging signal, a chemiluminescence signal, or an electroluminescence signal.

[0017] In some embodiments, the step of obtaining the microstructure information of the dominant particles includes spatial distribution information and surface morphology information, specifically including the following steps:

[0018] The spatial distribution information of the dominant particles was obtained using a laser confocal microscope.

[0019] The surface morphology information of the dominant particles was obtained using a scanning electron microscope.

[0020] In some embodiments, the step of fixing the dominant particle within a porous structure of a microfluidic chip is included before the step of acquiring the optical imaging signal of the dominant particle.

[0021] In some embodiments, the step of constructing a model relating the microstructure information to its optical properties specifically includes the following steps:

[0022] The higher the fluorescence intensity, the higher the score, and the structures are ranked from highest to lowest score. The microstructure corresponding to the highest score is taken as the best structure-activity relationship model.

[0023] In some embodiments, the step of synthesizing luminescent functional materials with the same microstructure information according to the relational model specifically includes the following steps: synthesizing luminescent functional materials with the microstructure information corresponding to the optimal structure-property relational model by means of literature review or experimental exploration.

[0024] In some embodiments, the following step is also included: using the synthesized luminescent material as a new material, repeating step S20 above.

[0025] A second objective of this application is to provide a system for synthesizing luminescent functional materials, comprising:

[0026] A material acquisition unit is used to provide luminescent functional materials;

[0027] A material sorting unit is used to sort the dominant particles in the luminescent functional material;

[0028] An optical imaging signal acquisition unit is used to acquire the optical imaging signal of the dominant particle;

[0029] A microstructure information acquisition unit is used to acquire the microstructure information of the dominant particle;

[0030] A construction unit is used to construct a model relating the microstructure information to its optical performance.

[0031] The synthesis unit is used to synthesize luminescent functional materials with the same microstructure information according to the relationship model.

[0032] A third objective of this application is to provide an electronic device including a processor, a memory, and a communication interface, wherein the memory stores one or more programs, and the one or more programs are executed by the processor, the one or more programs including instructions for performing the steps in any of the methods described herein.

[0033] Fourthly, this application also provides a computer-readable storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to perform the steps of any of the methods described herein.

[0034] The present application adopts the above technical solution, and its beneficial effects are as follows:

[0035] This application provides a method, system, electronic device, and computer-readable storage medium for synthesizing luminescent functional materials. By providing luminescent functional materials, sorting dominant particles from the luminescent functional materials, obtaining the microstructure information of the dominant particles, constructing a relationship model between the microstructure information and its optical properties, and synthesizing luminescent functional materials with the same microstructure information based on the relationship model, this method greatly simplifies the aimless and labor-intensive traditional structure-property relationship research approach, improves research and development efficiency, and obtains luminescent functional materials with controllable structure and excellent performance. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 A flowchart illustrating the steps of a method for synthesizing luminescent functional materials provided in this application embodiment.

[0038] Figure 2 A flowchart illustrating the steps for obtaining the microstructure information of the dominant particles provided in this application embodiment.

[0039] Figure 3 This is a schematic diagram of the structure of the synthesis system for the luminescent functional material provided in the embodiments of this application.

[0040] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0041] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0042] In the description of this application, it should be understood that the terms "upper", "lower", "horizontal", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.

[0043] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0044] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments.

[0045] Please see Figure 1 The method for synthesizing luminescent functional materials provided in this application specifically includes the following steps S10 to S50, and its implementation is described in detail below.

[0046] Step S10: Provide luminescent functional materials.

[0047] In this embodiment, in the step of providing luminescent functional materials, the luminescent functional materials can be synthesized into hydrogel microspheres, magnetic microspheres or other polymer microspheres by monomer polymerization, microemulsion method, reprecipitation method, self-assembly method or microfluidic method. Then, the functionalization reaction is completed by using luminescent substrate through covalent modification, electrostatic adsorption or coordination chelation to synthesize the corresponding luminescent functional materials. The luminescent functional materials include photoluminescent materials, electroluminescent materials or chemiluminescent materials.

[0048] Step S20: Sorting the dominant particles in the luminescent functional material.

[0049] In this embodiment, the step of sorting the dominant particles in the luminescent functional material specifically includes the following steps: introducing the luminescent functional material into a flow cytometer, and collecting the dominant particles of the material particles with a fluorescence intensity exceeding 95% after sorting by the flow cytometer.

[0050] It is understood that in this embodiment, the synthesized luminescent functional material is introduced into a suitable flow cytometer. Since the flow cytometer has both analysis and sorting functions, the dominant particle subpopulation of material particles with fluorescence intensity exceeding 95% can be collected after sorting by the flow cytometer and then stored in the dark.

[0051] It's important to note that flow cytometry has revolutionized high-throughput analysis of cells and micro / nano particles. Through fluorescent labeling, flow cytometers can sort and collect different subpopulations of cells or particles. Therefore, microfluidic-flow cytometry sorting technology is perfectly capable of automatically sorting target particle subpopulations within micro / nano particle materials, significantly reducing workload while directly increasing the proportion of target particle subpopulations in the overall composition. Furthermore, the high-throughput, automated, and easily controllable characteristics of microfluidic-flow cytometry sorting technology can also be applied to the early stages of structure-activity relationship (SHR) studies in single-particle imaging, greatly simplifying and accelerating the arduous task of manually locating and screening target particle subpopulations.

[0052] Step S30: Acquire the optical imaging signal of the dominant particle.

[0053] In this embodiment, the step of acquiring the optical imaging signal of the dominant particle specifically includes the following steps: acquiring the single-particle optical imaging signal of the dominant particle using a CCD camera on a microscope.

[0054] In this embodiment, before the step of acquiring the optical imaging signal of the dominant particle, the following step is included: fixing the dominant particle within the porous structure of the microfluidic chip.

[0055] Specifically, the microfluidic chip provided in this embodiment can be prepared using existing technology. It has a porous structure, and the dominant particles are fixed in the porous structure of the microfluidic chip for the capture and fixation of the observed dominant particles.

[0056] Specifically, the collected dominant particles are fixed in the channels of the capture microfluidic chip, and the optical imaging signal of a single particle of the dominant particle subgroup is obtained by using a CCD camera on a microscope. The optical imaging signal includes, but is not limited to, fluorescence imaging signal, chemiluminescence signal, or electroluminescence signal.

[0057] Step S40: Obtain the microstructure information of the dominant particles.

[0058] Please see Figure 2 This is a flowchart illustrating the steps for obtaining the microstructure information of the dominant particles provided in this embodiment. The microstructure information includes spatial distribution information and surface morphology information, specifically including the following steps:

[0059] Step S21: Obtain the spatial distribution information of the dominant particles using a laser confocal microscope.

[0060] Specifically, a laser confocal microscope is used to image the particles in the same batch of capture chips to obtain the spatial distribution information of the fluorescent molecules inside, that is, to obtain the internal structural information of the particles.

[0061] It is understandable that spatial distribution information refers to 3D fluorescence images, which can be used to observe the differences in fluorescence intensity at different locations within a material, thereby determining its distribution.

[0062] Step S22: Obtain the surface morphology information of the dominant particles using a scanning electron microscope.

[0063] Specifically, the particles in the same batch of captured chips are further characterized using scanning electron microscopy to obtain their surface morphology information.

[0064] It is understandable that luminescent functionalized materials are composite materials with diverse functions, formed by combining multiple components such as luminescent agents, co-reactants, catalysts, special groups, and even biomolecules onto micro- and nanomaterials through chemical modification, doping, or physical adsorption. In single-particle imaging research, the subpopulation of luminescent functionalized particles with performance advantages differs significantly from ordinary particles in terms of microstructure and degree of functionalization. This difference is often directly reflected in the distribution morphology and fluorescence intensity of their fluorescent molecules; different microstructures exhibit different fluorescence intensities.

[0065] Step S50: Construct a model showing the relationship between the microstructure information and its optical performance.

[0066] In this embodiment, the step of constructing the relationship model between the microstructure information and its optical performance specifically includes the following steps: obtaining fluorescence intensity based on the spatial distribution information of the dominant particles, wherein the structure with higher fluorescence intensity has a higher score, and sorting them according to the scores, the microstructure corresponding to the higher score is taken as the best structure-property relationship model.

[0067] It should be noted that: by analyzing the spatial distribution information (internal structure) of different material particles using software such as MATLAB, the corresponding average fluorescence intensity can be obtained. The higher the fluorescence intensity, the higher the score of the structure, and the microstructure corresponding to the higher score is regarded as the best structure-activity relationship model; however, in practice, it is also necessary to consider the structure with high intensity and relatively easy synthesis as the best structure-activity relationship model.

[0068] Step S60: Based on the relationship model, synthesize luminescent functional materials with the same microstructure information.

[0069] In this embodiment, the step of synthesizing luminescent functional materials with the same microstructure information according to the relation model specifically includes the following steps: synthesizing luminescent functional materials with the microstructure information corresponding to the optimal structure-property relation model by means of literature review or experimental exploration.

[0070] In this embodiment, the method for synthesizing luminescent functional materials provided in this application further includes the following steps: using the synthesized luminescent functional material as a new material, repeating the above steps S20 to S50, thereby further enriching the dominant particle subgroup and finally obtaining a luminescent functional material with uniform structure and excellent performance.

[0071] The above embodiments of this application provide a method for synthesizing luminescent functional materials. By providing luminescent functional materials, sorting the dominant particles in the luminescent functional materials, obtaining the microstructure information of the dominant particles, constructing a relationship model between the microstructure information and its optical properties, and synthesizing luminescent functional materials with the same microstructure information according to the relationship model, this method greatly simplifies the aimless and labor-intensive traditional structure-property relationship research method, improves research and development efficiency, and obtains luminescent functional materials with controllable structure and excellent performance.

[0072] Please see Figure 3 The luminescent functional material synthesis system provided in this application embodiment specifically includes the following units, and its implementation is described in detail below.

[0073] Material acquisition unit 31 is used to provide luminescent functional materials.

[0074] In this embodiment, the luminescent functional material can be synthesized into hydrogel microspheres, magnetic microspheres, or other polymer microspheres by monomer polymerization, microemulsion, reprecipitation, self-assembly, or microfluidic methods. Then, the luminescent substrate is used to complete the functionalization reaction through covalent modification, electrostatic adsorption, or coordination chelation to synthesize the corresponding luminescent functional material. The luminescent functional material includes photoluminescent materials, electroluminescent materials, or chemiluminescent materials.

[0075] Material sorting unit 32 is used to sort the dominant particles in the luminescent functional material.

[0076] In this embodiment, the step of sorting the dominant particles in the luminescent functional material specifically includes the following steps: introducing the luminescent functional material into a flow cytometer, and collecting the dominant particles of the material particles with a fluorescence intensity exceeding 95% after sorting by the flow cytometer.

[0077] It is understood that in this embodiment, the synthesized luminescent functional material is introduced into a suitable flow cytometer. Since the flow cytometer has both analysis and sorting functions, the dominant particle subpopulation of material particles with fluorescence intensity exceeding 95% can be collected after sorting by the flow cytometer and then stored in the dark.

[0078] It's important to note that flow cytometry has revolutionized high-throughput analysis of cells and micro / nano particles. Through fluorescent labeling, flow cytometers can sort and collect different subpopulations of cells or particles. Therefore, microfluidic-flow cytometry sorting technology is perfectly capable of automatically sorting target particle subpopulations within micro / nano particle materials, significantly reducing workload while directly increasing the proportion of target particle subpopulations in the overall composition. Furthermore, the high-throughput, automated, and easily controllable characteristics of microfluidic-flow cytometry sorting technology can also be applied to the early stages of structure-activity relationship (SHR) studies in single-particle imaging, greatly simplifying and accelerating the arduous task of manually locating and screening target particle subpopulations.

[0079] The optical imaging signal acquisition unit 33 is used to acquire the optical imaging signal of the dominant particle.

[0080] In this embodiment, the step of acquiring the optical imaging signal of the dominant particle specifically includes the following steps: acquiring the single-particle optical imaging signal of the dominant particle using a CCD camera on a fluorescence microscope.

[0081] In this embodiment, before the step of acquiring the optical imaging signal of the dominant particle, the following step is included: fixing the dominant particle within the porous structure of the microfluidic chip.

[0082] Specifically, the microfluidic chip provided in this embodiment can be prepared using existing technology. It has a porous structure, and the dominant particles are fixed in the porous structure of the microfluidic chip for the capture and fixation of the observed dominant particles.

[0083] Specifically, the collected dominant particles are fixed inside the channels of a capture microfluidic chip, and the optical imaging signals of single particles of the dominant particle subpopulation are obtained using a CCD camera on a fluorescence microscope.

[0084] The microstructure information acquisition unit 34 is used to acquire the microstructure information of the dominant particle.

[0085] Please refer to the following: Figure 2 This is a flowchart illustrating the steps for obtaining the microstructure information of the dominant particles provided in this embodiment. The microstructure information includes spatial distribution information and surface morphology information, specifically including the following steps:

[0086] Step S21: Obtain the spatial distribution information of the dominant particles using a laser confocal microscope.

[0087] Specifically, a laser confocal microscope is used to image the particles in the same batch of capture chips to obtain the spatial distribution information of the fluorescent molecules inside, that is, to obtain the internal structural information of the particles.

[0088] It is understandable that spatial distribution information refers to 3D fluorescence images, which can be used to observe the differences in fluorescence intensity at different locations within a material, thereby determining its distribution.

[0089] Step S22: Obtain the surface morphology information of the dominant particles using a scanning electron microscope.

[0090] Specifically, the particles in the same batch of captured chips are further characterized using scanning electron microscopy to obtain their surface morphology information.

[0091] It is understandable that luminescent functionalized materials are composite materials with diverse functions, formed by combining multiple components such as luminescent agents, co-reactants, catalysts, special groups, and even biomolecules onto micro- and nanomaterials through chemical modification, doping, or physical adsorption. In single-particle imaging research, the subpopulation of luminescent functionalized particles with performance advantages differs significantly from ordinary particles in terms of microstructure and degree of functionalization. This difference is often directly reflected in the distribution morphology and fluorescence intensity of their fluorescent molecules; different microstructures exhibit different fluorescence intensities.

[0092] The construction unit 35 is used to construct a model relating the microstructure information to its optical performance.

[0093] In this embodiment, the step of constructing the relationship model between the microstructure information and its optical performance specifically includes the following steps: obtaining fluorescence intensity based on the spatial distribution information of the dominant particles, wherein the structure with higher fluorescence intensity has a higher score, and sorting them according to the scores, the microstructure corresponding to the higher score is taken as the best structure-property relationship model.

[0094] It should be noted that: by analyzing the spatial distribution information (internal structure) of different material particles using software such as MATLAB, the corresponding average fluorescence intensity can be obtained. The higher the fluorescence intensity, the higher the score of the structure, and the microstructure corresponding to the higher score is regarded as the best structure-activity relationship model; however, in practice, it is also necessary to consider the structure with high intensity and relatively easy synthesis as the best structure-activity relationship model.

[0095] Synthesis unit 36 ​​is used to synthesize luminescent functional materials with the same microstructure information according to the relationship model.

[0096] In this embodiment, the step of synthesizing luminescent functional materials with the same microstructure information according to the relation model specifically includes the following steps: synthesizing luminescent functional materials with the microstructure information corresponding to the optimal structure-property relation model by means of literature review or experimental exploration.

[0097] In this embodiment, the synthesis system for luminescent functional materials provided in this application further includes the following steps: using the synthesized luminescent functional material as a new material, performing the steps of the above-mentioned unit, thereby achieving further enrichment of the dominant particle subgroup, and finally obtaining a luminescent functional material with uniform structure and excellent performance.

[0098] The above embodiments of this application provide a system for synthesizing luminescent functional materials. By providing luminescent functional materials, sorting the dominant particles in the luminescent functional materials, obtaining the microstructure information of the dominant particles, constructing a relationship model between the microstructure information and its optical properties, and synthesizing luminescent functional materials with the same microstructure information according to the relationship model, this greatly simplifies the traditional structure-property relationship research method that is aimless and labor-intensive, improves research and development efficiency, and obtains luminescent functional materials with controllable structure and excellent performance.

[0099] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device includes: one or more processors, one or more memories, one or more communication interfaces, and one or more programs; the one or more programs are stored in the memories and configured to be executed by the one or more processors.

[0100] The above procedure includes instructions for performing the following steps:

[0101] Step S10: Provide luminescent functional materials;

[0102] Step S20: Sorting the dominant particles in the luminescent functional material;

[0103] Step S30: Acquire the optical imaging signal of the dominant particle;

[0104] Step S40: Obtain the microstructure information of the dominant particles;

[0105] Step S50: Construct a model showing the relationship between the microstructure information and its optical performance;

[0106] Step S60: Based on the relationship model, synthesize luminescent functional materials with the same microstructure information.

[0107] All relevant content in each scenario involved in the above method embodiments can be referenced from the functional description of the corresponding functional module, and will not be repeated here.

[0108] It should be understood that the aforementioned memory may include read-only memory and random access memory, and provides instructions and data to the processor. A portion of the memory may also include non-volatile random access memory. For example, the memory may also store information about the device type.

[0109] In the embodiments of this application, the processor of the above-described device may be a Central Processing Unit (CPU), which may 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. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0110] It should be understood that "at least one" in the embodiments of this application refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0111] Furthermore, unless otherwise stated, the ordinal numbers such as "first" and "second" mentioned in the embodiments of this application are used to distinguish multiple objects and are not used to limit the order, timing, priority, or importance of multiple objects. For example, "first information" and "second information" are only used to distinguish different information and do not indicate differences in the content, priority, sending order, or importance of these two types of information.

[0112] In implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software. The steps of the method disclosed in the embodiments of this application can be directly manifested as execution by a hardware processor, or as a combination of hardware and software units within the processor. The software units can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory, and the processor executes the instructions in the memory, combining them with its hardware to complete the steps of the above method. To avoid repetition, detailed descriptions are omitted here.

[0113] This application also provides a computer storage medium storing a computer program for electronic data interchange, which causes a computer to perform some or all of the steps of any of the methods described in the above method embodiments.

[0114] This application also provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods described in the above method embodiments. This computer program product can be a software installation package.

[0115] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0116] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0118] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of the embodiments of this application, depending on actual needs.

[0119] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0120] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or TRP, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0121] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage device, which may include a flash drive, ROM, RAM, disk, or optical disk, etc.

[0122] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

[0123] The above are merely preferred embodiments of this application, and only specifically describe the technical principles of this application. These descriptions are only for explaining the principles of this application and should not be construed as limiting the scope of protection of this application in any way. Based on this explanation, any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application, as well as other specific embodiments of this application that can be conceived by those skilled in the art without creative effort, should be included within the scope of protection of this application.

Claims

1. A method for synthesizing a luminescent functional material, characterized in that, Includes the following steps: Step S10: Provide luminescent functional materials; Step S20: Sorting the dominant particles in the luminescent functional material; Step S30: Acquire the optical imaging signal of the dominant particle; Step S40: Obtain the microstructure information of the dominant particles; Step S50: Construct a relationship model between the microstructure information and the optical imaging signal; Step S60: Based on the relationship model, synthesize luminescent functional materials with the same microstructure information.

2. The method for synthesizing luminescent functional materials as described in claim 1, characterized in that, In the step of providing luminescent functional materials, the luminescent functional materials can be synthesized by monomer polymerization, microemulsion method, reprecipitation method, self-assembly method, microfluidic method or other methods to form hydrogel microspheres, magnetic microspheres or other polymer microspheres, and then functionalized by using luminescent substrates through covalent modification, electrostatic adsorption or coordination chelation to synthesize the corresponding luminescent functional materials. The luminescent functional materials include photoluminescent materials, electroluminescent materials or chemiluminescent materials.

3. The method for synthesizing luminescent functional materials as described in claim 1, characterized in that, The step of sorting the dominant particles in the luminescent functional material specifically includes the following steps: introducing the luminescent functional material into a flow cytometer, and collecting the dominant particles of the material particles with a fluorescence intensity exceeding 95% after sorting by the flow cytometer.

4. The method for synthesizing the luminescent functional material as described in claim 1, characterized in that, The step of acquiring the optical imaging signal of the dominant particle specifically includes the following steps: using a CCD camera on a microscope to acquire the single-particle-specific optical imaging signal of the dominant particle, wherein the optical imaging signal includes, but is not limited to, fluorescence imaging signal, chemiluminescence signal, or electroluminescence signal.

5. The method for synthesizing luminescent functional materials as described in claim 1, characterized in that, In the step of obtaining the microstructure information of the dominant particles, the microstructure information includes spatial distribution information and surface morphology information, specifically including the following steps: The spatial distribution information of the dominant particles was obtained using a laser confocal microscope. The surface morphology information of the dominant particles was obtained using a scanning electron microscope.

6. The method for synthesizing the luminescent functional material as described in claim 4, characterized in that, Prior to the step of acquiring the optical imaging signal of the dominant particle, the following step is also included: fixing the dominant particle within the porous structure of the microfluidic chip.

7. The method for synthesizing the luminescent functional material as described in claim 1, characterized in that, The steps for constructing the relationship model between the microstructure information and its optical performance specifically include the following steps: The higher the intensity of the unique optical imaging signal, the higher the score of the structure, and the structures are sorted according to their scores. The microstructure information corresponding to the higher score is used as the optimal structure-property relationship model.

8. The method for synthesizing the luminescent functional material as described in claim 7, characterized in that, The step of synthesizing luminescent functional materials with the same microstructure information according to the aforementioned relationship model specifically includes the following steps: synthesizing luminescent functional materials with the microstructure information corresponding to the optimal structure-property relationship model by means of literature review or experimental exploration.

9. The method for synthesizing the luminescent functional material as described in claim 8, characterized in that, It also includes the following step: using the synthesized luminescent material as a new material, repeat the above step S20.

10. A system for synthesizing luminescent functional materials, characterized in that, include: A material acquisition unit is used to provide luminescent functional materials; A material sorting unit is used to sort the dominant particles in the luminescent functional material; An optical imaging signal acquisition unit is used to acquire the unique optical imaging signal of the dominant particle; A microstructure information acquisition unit is used to acquire the microstructure information of the dominant particle; A construction unit is used to construct a model relating the microstructure information to its optical performance. The synthesis unit is used to synthesize luminescent functional materials with the same microstructure information according to the relationship model.

11. An electronic device, characterized in that, The method includes a processor, a memory, and a communication interface, wherein the memory stores one or more programs, and the one or more programs are executed by the processor, the one or more programs including instructions for performing the steps of the method as described in any one of claims 1-9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program for electronic data interchange, wherein the computer program causes a computer to perform the steps of the method as described in any one of claims 1-9.