Automated optical characterization test system, method, medium, and terminal

Abstract

The application provides an automatic optical characterization test system, method, medium and terminal, which comprises an operation module, an optical characterization test module for image acquisition and spectrum test on a detected sample, an analysis module comprising a control module, a data processing module and a display module, the control module controls the operation module, the image acquisition module and the spectrum test module, the data processing module is used for receiving and summarizing the test results of the optical characterization test module, and the test results are recorded in a database after data processing, and the display module is used for displaying the real-time process and test results of the optical characterization test. The application can realize the automation, high efficiency and unmanned of the whole process of the optical characterization test, greatly saves time, improves the test efficiency and the accuracy of the test data, and can automatically summarize and arrange the experimental data, construct a database and save the data analysis time.

Description

Technical Field

[0001] This application relates to the field of laboratory automation technology, and in particular to an automated optical characterization testing system, method, medium and terminal. Background Technology

[0002] Generally speaking, when performing optical characterization tests on some material samples in the laboratory, some operations are labor-intensive, such as weighing, preparing solutions, and stirring. These operations are characterized by high repeatability, low technicality, long time consumption, low efficiency, and high resource and time consumption.

[0003] In existing experimental operations, some operations have been replaced by automated equipment, such as oscillators. However, these devices are often limited in function and have low integration, usually requiring manual or repetitive operation by researchers, thus offering limited efficiency improvements. Given the generally limited availability of automated equipment in these situations, laboratories urgently need automated equipment or production lines that achieve a high degree of automation, similar to modern industrial production, to complete a series of experimental operations, thereby realizing highly efficient and unmanned experimental procedures.

[0004] In addition, the entry and summarization of experimental data is also a key factor affecting experimental efficiency. For multiple instruments, data transfer to a computer is usually the only option; automatic data processing is not possible. Researchers often need to manually filter out outliers and perform analysis, which is time-consuming, labor-intensive, and inefficient. Summary of the Invention

[0005] In view of the shortcomings of the prior art described above, the purpose of this application is to provide an automated optical characterization testing system and method to solve the technical problems of long optical characterization testing time, inaccurate test data, low testing efficiency, and long data analysis time in the prior art.

[0006] To achieve the above and other related objectives, a first aspect of this application provides an automated optical characterization testing system, comprising:

[0007] An operation module, the operation scope of which covers the optical characterization test module, and performs corresponding operations;

[0008] The optical characterization testing module includes an image acquisition module and a spectral testing module. The image acquisition module is used to acquire images of the sample under test to obtain the optical characterization state of the sample. The spectral testing module includes an absorption spectral testing module and an emission spectral testing module, which are used to perform absorption spectral testing and emission spectral testing on the sample under test, respectively.

[0009] The analysis module includes a control module, a data processing module, and a display module. The control module is electrically connected to the operation module, the image acquisition module, and the spectral testing module to control these modules. The data processing module is electrically connected to the image acquisition module and the spectral testing module to receive and summarize the test results from these modules, and processes the test results of the tested sample before entering them into a database. The display module displays the real-time progress and results of the optical characterization test.

[0010] In some embodiments of the first aspect of this application, the method of processing the test results of the tested sample and then entering them into the database includes any combination of one or more of the following methods:

[0011] 1) The data processing module calculates the optical characterization parameters of the sample being tested based on the test results received from the spectral testing module;

[0012] 2) The data processing module calculates the long-afterglow decay lifetime curve of the tested sample based on the image information acquired by the image acquisition module and the long-afterglow emission image information.

[0013] 3) The data processing module performs anomaly judgment on the test results of the tested sample and enters the normal test results into the database.

[0014] In some embodiments of the first aspect of this application, the data processing module performs anomaly judgment on the test results of the detected sample in any combination of one or more of the following methods:

[0015] 1) The data processing module determines whether the absorption value of the absorption spectrum exceeds a preset threshold based on the received absorption value of the absorption spectrum of the sample being tested, and determines the absorption spectrum that exceeds the preset threshold as an abnormal spectrum.

[0016] 2) The data processing module determines whether the luminescence intensity of the emission spectrum of the received sample exceeds a preset threshold, and determines the emission spectrum that exceeds the preset threshold as an abnormal spectrum.

[0017] 3) The data processing module determines whether the test results of the tested sample fall within a preset range based on the test results of the tested sample, and judges the tested sample that does not fall within the preset range as an abnormal sample.

[0018] In some embodiments of the first aspect of this application, the automated optical characterization testing system further includes a sample preparation module for operation by the operation module; the sample preparation module includes a powder dispensing module, a pipette module, and an electronic balance module; the powder dispensing module is used to add solid powder to the solution preparation bottle; the pipette module is used to add liquid solvent to the solution preparation bottle; and the electronic balance module is used to weigh the total volume and concentration of the sample in the solution preparation bottle.

[0019] In some embodiments of the first aspect of this application, the sample preparation module further includes a material reserve management module, which includes a consumables management module, a reagent management module, and an image recognition module. The consumables management module is used to manage the consumables used in the spectral testing experiment; the reagent management module is used to manage the reagents used in the spectral testing experiment; and the image recognition module is used to identify the barcode information or image information of the reagents and consumables used in the spectral testing experiment. The material management module is electrically connected to the data processing module, and the data processing module determines whether additional replenishment of consumables or reagents is required based on the operation record of each sampling by the material management module.

[0020] In some embodiments of the first aspect of this application, the automated optical characterization testing system further includes a molecular structure acquisition module, which is used to acquire the molecular structure of the sample to be tested, mark the positions of its parent nucleus and characteristic groups, and sort and number the types of characteristic groups at each position; the data processing module is electrically connected to the molecular structure acquisition module, and the data processing module calculates the degree of influence of each characteristic group at each position on the optical characterization testing parameters based on the optical characterization testing parameters of the parent nucleus of the sample to be tested, sorts the characteristic groups according to the magnitude of their influence on the optical characterization testing parameters, and records the sorting results and the corresponding molecular formula structure of the sample to be tested into the database.

[0021] To achieve the above and other related objectives, a second aspect of this application provides an automated optical characterization testing method applied to the analysis module of an automated optical characterization testing system. The method includes:

[0022] According to the test requirements, a first control command is sent to the operation module to instruct the operation module to prepare the sample to be tested;

[0023] Send a second control command to the operation module to instruct the operation module to set up the test scenario;

[0024] Determine whether the test results of the absorption spectrum of the sample being tested meet the requirements of the absorption spectrum test;

[0025] If the test results of the absorption spectrum of the sample being tested meet the requirements of the absorption spectrum test, then the optical characterization test module shall perform image acquisition and emission spectrum test.

[0026] If the test results of the absorption spectrum of the sample being tested do not meet the requirements of the absorption spectrum test, the operation module will dilute the concentration of the sample solution being tested, re-prepare the sample, and rearrange the test scene.

[0027] Determine whether the test results of the emission spectrum of the sample being tested meet the emission spectrum test requirements;

[0028] If the test results of the emission spectrum of the sample being tested meet the test requirements of the emission spectrum, the operation module is instructed to remake the sample and rearrange the test scenario.

[0029] If the test result of the emission spectrum of the sample being tested does not meet the test requirements of the emission spectrum, the operation module is instructed to reduce the grating opening of the emission spectrometer, and then the optical characterization test module is instructed to re-perform the emission spectrum test.

[0030] The optical characterization state data, absorption spectrum test data, and emission spectrum test data of the tested sample are obtained from the optical characterization test module, and the data are processed and entered into the database.

[0031] The real-time progress and test results of the optical characterization test are graphically displayed.

[0032] In some embodiments of the second aspect of this application, the process of sending a first control command to the operation module to instruct the operation module to prepare the sample to be tested includes instructing the operation module to perform the following steps:

[0033] Grab the solution preparation bottle and open the cap;

[0034] Transfer the dispensing bottle to the electronic balance;

[0035] Use the powder dispensing assembly to dispense powder into the solution bottle and weigh it, grab the pipette tip and install it, and open the solvent bottle cap;

[0036] Use a pipette to measure the solvent, transfer the solvent into the dispensing bottle, and then close the solvent bottle.

[0037] Grab the solution preparation bottle and cap it;

[0038] Transfer the solution bottle to the vortex shaker and let the vortex shaker continuously shake the solution bottle for a preset time.

[0039] Replace the pipette tip;

[0040] Grab the solution preparation bottle and open the cap;

[0041] Use a pipette to measure a quantitative amount of solution and transfer the solution to the reference cuvette and the sample cuvette.

[0042] In some embodiments of the second aspect of this application, after graphically demonstrating the real-time process and test results of the display optical characterization test, the method further performs the following steps:

[0043] A third control command is sent to the molecular structure acquisition module to instruct the molecular structure acquisition module to acquire the molecular structure of the sample being tested, mark the location of its parent nucleus and characteristic groups, and sort and number the types of characteristic groups at each location.

[0044] Based on the optical characterization test parameters of the tested sample, the degree of influence of each characteristic group at each position on the optical characterization test parameters is calculated, and the characteristic groups are sorted according to the degree of influence on the optical characterization test parameters. The sorting results and the molecular formula structure of the corresponding tested sample are entered into the database.

[0045] To achieve the above and other related objectives, a third aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the automated optical characterization testing method described above.

[0046] To achieve the above and other related objectives, a fourth aspect of this application provides an electronic terminal, comprising: a processor and a memory; the memory for storing a computer program; and the processor for executing the computer program stored in the memory to enable the terminal to perform the automated optical characterization testing method as described above.

[0047] As described above, the automated optical characterization testing system, method, medium, and electronic terminal of this application have the following beneficial effects: they can realize the automation, high efficiency, and unmanned operation of the entire optical characterization testing process, greatly saving time, improving testing efficiency and the accuracy of test data, and significantly reducing the instability of human operation; at the same time, the automated optical characterization testing system and method can not only automatically summarize and organize experimental data, but also judge data anomalies, build a database, save data analysis time, and can screen specific experimental results and adjust experimental directions. Attached Figure Description

[0048] Figure 1A The diagram shown is a structural schematic of an automated optical characterization and testing system according to an embodiment of this application.

[0049] Figure 1B The diagram shows an application scenario of performing spectral testing on a sample under test, as described in one embodiment of this application.

[0050] Figure 2A The diagram shown is a flowchart of an automated optical characterization testing method according to an embodiment of this application.

[0051] Figure 2B The diagram shown is a flowchart illustrating the process of preparing the sample to be tested in one embodiment of this application.

[0052] Figure 2C The diagram shown is a flowchart illustrating the setup of a test scenario using an operation module in one embodiment of this application.

[0053] Figure 3 The diagram shown is a structural schematic of an electronic terminal according to an embodiment of this application. Detailed Implementation

[0054] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0055] It should be noted that in the following description, reference is made to the accompanying drawings, which illustrate several embodiments of this application. It should be understood that other embodiments may also be used, and changes in mechanical composition, structure, electrical system, and operation may be made without departing from the spirit and scope of this application. The following detailed description should not be considered limiting, and the scope of the embodiments of this application is defined only by the claims of the published patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application. Spatially related terms, such as “upper,” “lower,” “left,” “right,” “below,” “below,” “lower part,” “above,” “upper part,” etc., may be used herein to illustrate the relationship between one element or feature shown in the figures and another element or feature.

[0056] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," "fixing," and "holding" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0057] Furthermore, as used herein, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context indicates otherwise. It should be further understood that the terms “comprising,” “including,” indicate the presence of the stated feature, operation, element, component, item, kind, and / or group, but do not preclude the presence, occurrence, or addition of one or more other features, operations, elements, components, items, kinds, and / or groups. The terms “or” and “and / or” as used herein are interpreted as inclusive, or mean any one or any combination thereof. Thus, “A, B, or C” or “A, B, and / or C” means “any one of: A; B; C; A and B; A and C; B and C; A, B, and C.” Exceptions to this definition arise only when combinations of elements, functions, or operations are inherently mutually exclusive in some manner.

[0058] In laboratory optical characterization tests on material samples, some operations have been replaced by automated equipment, such as oscillators. However, such equipment has limited functionality and low integration, and often still requires manual or repetitive operation by researchers, which is time-consuming and inefficient. Furthermore, existing optical characterization testing systems cannot automatically process experimental data, requiring manual screening of abnormal data, which is time-consuming and labor-intensive. Therefore, developing a highly efficient and unmanned automated optical characterization testing system to complete a series of experimental operations is of great significance.

[0059] To address the technical problems of long testing time, inaccurate test data, low testing efficiency, and long data analysis time in existing optical characterization technologies, this invention provides an automated optical characterization testing system, method, medium, and electronic terminal, aiming to shorten the testing time, improve the efficiency of optical characterization testing, shorten the data analysis time, and further improve analysis efficiency.

[0060] Meanwhile, to make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the invention.

[0061] Before providing a further detailed description of the present invention, the nouns and terms used in the embodiments of the present invention are explained, and the nouns and terms used in the embodiments of the present invention are subject to the following interpretations:

[0062] <1> Absorption spectrum: refers to the spectrum produced when a substance absorbs photons and transitions from a low energy level to a high energy level. The absorption spectrum can be a line spectrum or an absorption band.

[0063] <2> Emission spectrum: refers to the spectrum directly produced by the emission of light from an object. When atoms or molecules in a high energy level transition to a lower energy level, they emit radiation, releasing excess energy to form the spectrum.

[0064] <3> A robotic arm is a mechanical device that can mimic human limbs and automatically complete repetitive tasks based on control signals. It mainly achieves the movement of joints by controlling motors and transmission devices.

[0065] <4> Optical characterization testing involves detecting the optical properties of material samples, including absorption wavelength, emission wavelength, full width at half maximum (FWHM), quantum efficiency, molar extinction coefficient, chromaticity coordinates, long afterglow lifetime, and fluorescence intensity.

[0066] The automated optical characterization testing system, method, medium, and electronic terminal of this application not only achieve full automation, high efficiency, and unmanned operation of the optical characterization testing process, but also automatically organize and summarize experimental data to build a standard database. This shortens the time required for optical characterization testing, improves the efficiency of optical characterization testing, and reduces data analysis time, further enhancing research efficiency and demonstrating broad application prospects. The following section will detail the application prospects of the automated optical characterization testing system, method, medium, and electronic terminal in this application:

[0067] The first application direction is to screen or selectively match the required luminescent materials based on usage needs. These needs include, but are not limited to, optical characterization parameters such as absorption wavelength, emission wavelength, full width at half maximum (FWHM), quantum efficiency, molar extinction coefficient, and chromaticity coordinates. For example, in a specific application, a luminescent material is needed that emits light within a certain wavelength range, with its luminescence intensity exceeding a certain threshold or its FWHM falling within a specific range. In this case, the aforementioned automated optical characterization and testing system can screen for similar existing compounds in a standard database, thus providing researchers with ideas or enabling feasibility analysis.

[0068] Furthermore, this automated optical characterization testing system can also provide potentially feasible experimental directions by combining the test data of the recorded preferred set with the required range of optical characterization parameters.

[0069] The second application is for compounds synthesized using newly proposed methods or with new components. The aforementioned automated optical characterization system can analyze, predict, and verify their optical properties. This type of research typically originates from cutting-edge scientific fields, expanding or altering existing research directions for a broad class of compounds. However, learning and verifying this type of research often requires a significant workload and is highly challenging, consuming substantial laboratory resources. In this case, the automated optical characterization system can replace human experimenters, preparing test samples and conducting subsequent optical characterization tests according to the newly proposed synthesis methods or using new components. It can efficiently perform optical property analysis, prediction, and verification of new compounds, saving time and laboratory resources. After the experiment is completed, the automated optical characterization system can also automatically output a test report for the experimenter's reference.

[0070] Furthermore, based on the automated optical characterization testing system and method of this application, artificial intelligence can be introduced as a control module in the future. This module can perform deep learning on the principles and results of optical characterization testing, better assisting experimenters in test planning and analysis. Moreover, the control module can periodically attempt to reproduce the latest experimental progress in related fields during idle periods, thereby improving its understanding of the field and eventually enabling communication and discussion with experimenters. This facilitates human-machine collaborative research and significantly improves research output efficiency. In addition, by introducing artificial intelligence, this automated optical characterization testing system can also learn from regularly published journals or papers and reproduce related experiments according to their content to verify the conclusions or theories, providing theoretical guidance for experimenters' experimental directions.

[0071] This invention provides an automated optical characterization testing system, method, medium, and electronic terminal. Regarding the implementation of an automated optical characterization testing system, this invention will describe an exemplary implementation scenario.

[0072] like Figure 1A The diagram shown illustrates the structure of an automated optical characterization testing system according to an embodiment of this application. It includes an operation module 101, an optical characterization testing module 102, and an analysis module 103. The structure and function of each module will be explained in detail below.

[0073] The operation module 101 covers the optical characterization test module 102 and performs corresponding operations.

[0074] The optical characterization testing module 102 includes an image acquisition module 1021 and a spectral testing module 1022. The image acquisition module 1021 is used to acquire images of the sample under test to obtain the optical characterization state of the sample under test. The spectral testing module 1022 includes an absorption spectral testing module and an emission spectral testing module (not shown in the figure), which are used to perform absorption spectral testing and emission spectral testing on the sample under test, respectively.

[0075] The analysis module 103 includes a control module 1031, a data processing module 1032, and a display module 1033. The control module 1031 is electrically connected to the operation module 101, the image acquisition module 1021, and the spectral testing module 1022, respectively, to control these modules. The data processing module 1032 is electrically connected to both the image acquisition module 1021 and the spectral testing module 1022, and is used to receive and summarize the test results from both modules, process the test results of the tested sample, and input them into a database. The display module 1033 is used to display the real-time progress and results of the optical characterization test.

[0076] In this embodiment, the sample for optical characterization testing includes optical materials, including but not limited to fluorescent materials, phosphorescent materials, long-afterglow luminescent materials, etc., which are not limited in this embodiment.

[0077] The operation module 101 is preferably a robotic arm, whose operating range can cover the optical characterization and testing module 102. The type of robotic arm includes, but is not limited to, six-axis robotic arms, three-axis robotic arms, Cartesian coordinate robotic arms, and multi-joint robotic arms. The following description uses a six-axis robotic arm as an example to illustrate the operation process of the operation module.

[0078] The absorption spectroscopy testing module includes an absorption sample chamber and an absorption spectrometer; the emission spectroscopy testing module includes an emission sample chamber and an emission spectrometer. Since most substances absorb ultraviolet and visible light, a reference is required during absorption spectroscopy testing. Therefore, the absorption sample chamber has two slots, one for accommodating the reference cuvette and the other for accommodating the sample cuvette. For emission spectroscopy testing, fluorescence does not require a reference; therefore, the emission sample chamber has one slot for accommodating the sample cuvette.

[0079] Specifically, in this embodiment, such as Figure 1BThe diagram illustrates an application scenario for spectral testing of a sample. The six-axis robotic arm performs operations including simultaneously picking up, placing, clamping, translating, rotating, opening, closing, and touching any part of the absorption sample chamber, absorption spectrometer, emission sample chamber, emission spectrometer, and reference cuvette and / or sample cuvette. Furthermore, the six-axis robotic arm can clamp and translate the sample (e.g., reference cuvette and / or sample cuvette), thereby transferring the reference cuvette and / or sample cuvette between the absorption and emission sample chambers. The six-axis robotic arm can also simulate human touch on the operation buttons or control panels of the absorption and emission spectrometers, thereby adjusting the testing modes and parameters of the absorption and emission spectrometers.

[0080] Specifically, in this embodiment, such as Figure 1B As shown, after the six-axis robotic arm places the reference cuvette and the sample cuvette into the absorption sample chamber, the absorption spectrometer can begin to perform absorption spectroscopy testing on the sample. After the absorption spectrometer completes the absorption spectroscopy test, the six-axis robotic arm can remove the sample cuvette from the absorption sample chamber and transfer it to the slot inside the emission sample chamber, at which point the emission spectrometer begins to perform emission spectroscopy testing on the sample. Alternatively, two identical sample cuvettes can be placed in the absorption sample chamber and the emission sample chamber, and absorption spectroscopy testing and emission spectroscopy testing can begin simultaneously. Specifically, the testing order of absorption spectroscopy testing and emission spectroscopy testing can be adjusted according to different experimental requirements, or both tests can be performed simultaneously, or either one can be selected for individual testing; this embodiment does not impose any limitations.

[0081] In this embodiment, the image acquisition module 1021 includes a camera module; the camera module includes a camera device, a storage device, and a processing device; the camera device includes, but is not limited to: a camera, a video camera, a camera module integrating an optical system or a CCD chip, a camera module integrating an optical system and a CMOS chip, etc.

[0082] Furthermore, the image acquisition module 1021 also includes an image acquisition sensor, a filter, and a time gating unit. The functions of each component are as follows:

[0083] First, during the optical characterization test, the six-axis robotic arm places the sample to be tested into a sample cuvette and moves it into the absorption or emission sample chamber. The image acquisition sensor can acquire images of the sample cuvette placed in the absorption or emission sample chamber, thereby obtaining the overall optical characterization state of the sample to be tested.

[0084] Secondly, different substances may emit light of different wavelengths during optical characterization tests, affecting the test results. The filter assembly can switch between multiple filters according to the absorption wavelength of the sample being tested, thereby enabling a more comprehensive and clearer capture of the image of the sample being tested during optical characterization tests.

[0085] Finally, a time-gating unit is added to the image acquisition module 1021 to adjust the delay time and interval time of image acquisition. By using the time-gating unit for precise control, multiple image captures can be performed to determine the long afterglow lifetime and fluorescence intensity of the sample being tested, thereby realizing the long afterglow emission image acquisition of the sample being tested. Furthermore, for the sample being tested containing long afterglow luminescent materials, a dynamic scanning test method can be introduced to perform multiple image acquisitions within its lifetime, thereby calculating the long afterglow decay lifetime curve.

[0086] In this embodiment, the control module 1031 and the data processing module 1032 can be computer devices, including but not limited to desktop computers, laptops, tablets, smartphones, smart TVs, personal digital assistants (PDAs), etc. The display module 1033 includes but is not limited to a display screen inside the laboratory or a remote display terminal set up outside the laboratory. The display screen or the remote display terminal are connected to the computer devices via wired or wireless means, so that the experimenters can still obtain the real-time progress and results of the optical characterization test from other locations.

[0087] It is worth noting that when using the automated optical characterization testing system of this application to perform optical characterization testing on the tested sample, the control module 1031 can independently control the operation module 101, image acquisition module 1021, and spectral testing module 1022 to collaboratively complete the optical characterization testing process without the assistance of experimental personnel, following certain methods and steps. This achieves automation, high efficiency, and unmanned operation of the entire optical characterization testing process, greatly saving time and improving testing efficiency. Furthermore, the data processing module 1032 is electrically connected to the image acquisition module 1021 and the spectral testing module 1022, respectively. It can not only receive and summarize the test results of the image acquisition module 1021 and the spectral testing module 1022 and automatically organize the test results, but also process the test results and input them into the database, improving the accuracy of the test data and constructing a standard database for reference in subsequent experiments or research.

[0088] Furthermore, in this embodiment, the method of processing the test results of the tested sample and then entering them into the database includes any one or more combinations of the following methods:

[0089] 1) The data processing module 1032 calculates the optical characterization parameters of the sample being tested based on the test results received from the spectral testing module 1022;

[0090] 2) The data processing module 1032 calculates the long afterglow decay lifetime curve of the tested sample based on the image information acquired by the image acquisition module 1021 and the long afterglow emission image information.

[0091] 3) The data processing module 1032 performs anomaly judgment on the test results of the tested sample and enters the normal test results into the database.

[0092] It is worth noting that the data processing module 1032 can not only receive the absorption and emission spectrum test results acquired by the spectral testing module 1022, but also derive the optical characterization parameters of the tested sample according to a preset calculation method. The optical characterization parameters in this embodiment include, but are not limited to: absorption wavelength, emission wavelength, full width at half maximum (FWHM), quantum efficiency, molar extinction coefficient, and chromaticity coordinates. The data processing module 1032 can also acquire and record the image information acquired by the image acquisition module 1021 and the long-persistence emission image information, and calculate the long-persistence decay lifetime curve of the tested sample. After the test is completed, the above test results are entered into the database for reference in subsequent experiments or research.

[0093] Furthermore, the data processing module 1032 can also identify abnormal test results. Before entering the data into the database, the data processing module 1032 will compare the test results of the tested sample with a preset range. If the test results do not fall within the preset range or are contradictory, they will not be entered into the database, thereby constructing a standard database. This standardized database is based on the testing process of the automated system and records standardized data. Compared with experimental results recorded by human operation, it has better accuracy and stability, and therefore has very high reference value.

[0094] Furthermore, in this embodiment, the data processing module 1032 performs anomaly judgment on the test results of the detected sample in a combination of any one or more of the following methods:

[0095] 1) The data processing module 1032 determines whether the absorption value of the absorption spectrum exceeds a preset threshold based on the received absorption value of the absorption spectrum of the sample being tested, and determines the absorption spectrum that exceeds the preset threshold as an abnormal spectrum.

[0096] 2) The data processing module 1032 determines whether the luminescence intensity of the emission spectrum of the received sample exceeds a preset threshold based on the luminescence intensity of the emission spectrum, and judges the emission spectrum that exceeds the preset threshold as an abnormal spectrum.

[0097] 3) The data processing module 1032 determines whether the test results of the tested sample fall within a preset range based on the test results of the tested sample, and judges the tested sample that does not fall within the preset range as an abnormal sample.

[0098] It is worth noting that the automated optical characterization and testing system of this application can screen or selectively match the required luminescent materials according to usage requirements. These requirements include, but are not limited to, optical characterization parameters such as absorption wavelength, emission wavelength, full width at half maximum (FWHM), quantum efficiency, molar extinction coefficient, and chromaticity coordinates. For example, in a specific application, a luminescent material is needed that emits light within a certain wavelength range, with its luminescence intensity exceeding a certain threshold or its FWHM falling within a certain range. In this case, the testing system can screen for similar existing compounds in a standard database, thereby providing researchers with ideas or enabling feasibility analysis.

[0099] Furthermore, in this embodiment, the automated optical characterization testing system also includes a sample preparation module (not shown in the figure) for operation by the operation module; the sample preparation module includes a powder dispensing module, a pipette module, and an electronic balance module; the powder dispensing module is used to add solid powder to the solution preparation bottle; the pipette module is used to add liquid solvent to the solution preparation bottle; and the electronic balance module is used to weigh the total volume and concentration of the sample in the solution preparation bottle.

[0100] Specifically, in this embodiment, the powder dispensing module includes at least a powder dispensing component, which adds powder to the solution bottle after being operated by a six-axis robotic arm; the pipette module includes at least a pipette and a pipette tip, which measures solvent and adds it to the solution bottle after being operated by a six-axis robotic arm; and the electronic balance module includes at least an electronic balance.

[0101] Furthermore, in this embodiment, the sample preparation module further includes a material reserve management module (not shown in the figure). The material reserve management module includes a consumables management module, a reagent management module, and an image recognition module. The consumables management module is used to manage the consumables used in the spectral testing experiment; the reagent management module is used to manage the reagents used in the spectral testing experiment; and the image recognition module is used to identify the barcode information or image information of the reagents and consumables used in the spectral testing experiment. The material reserve management module is electrically connected to the data processing module 1032, and the data processing module 1032 determines whether additional replenishment of consumables or reagents is required based on the operation record of each sampling by the material reserve management module.

[0102] Specifically, in this embodiment, the consumables management module includes at least a consumables rack for accommodating consumables used in optical characterization experiments. These consumables include, but are not limited to, cuvettes, pipette tips, and dispensing bottles. The reagent management module includes at least a reagent bottle rack for accommodating reagent bottles used in optical characterization experiments. Both the consumables rack and the reagent bottle rack have transfer components that can transfer specific consumables and reagent bottles to designated positions on the rack for operation by the six-axis robotic arm. An image recognition module is used to identify barcode or image information on the consumables rack and reagent bottle rack to ensure the six-axis robotic arm can perform its operations. The arm operation is error-free, and the image recognition module can also send the recognized information to the analysis module 103 for easy recording of experimental data. Furthermore, for consumables or reagents used in the test, the analysis module 103 can also determine whether additional replenishment is needed based on the operation record of each sampling to ensure sufficient materials. The image recognition module can be a camera module, which includes a camera device, a storage device, and a processing device. The camera device includes, but is not limited to, cameras, video cameras, camera modules with integrated optical systems or CCD chips, and camera modules with integrated optical systems and CMOS chips. This embodiment does not limit the scope of the camera device.

[0103] Furthermore, in this embodiment, the material reserve management module includes at least one consumable reagent storage area for storing consumables such as pipette tips, dispensing bottles, powder dispensing containers, and cuvettes, as well as reagents required for experiments. Specifically, the consumable reagent storage area and the sample preparation module are located on opposite sides of the operation module 101. When consumables are about to run out, the operation module 101 can replenish them nearby. Even further, the movement trajectory of the operation module 101 divides the laboratory into two areas: the upper area is used for weighing, dispensing, and sample preparation, while the lower area is used for storing consumables and reagents and for testing. The operation module 101 moves back and forth in the middle aisle to perform operations between the different areas.

[0104] It is worth noting that in the automated optical characterization testing system of this application, after the preparation of the sample to be tested and the reference sample are completed, the reference sample and the sample to be tested are placed into the reference cuvette and the sample cuvette, respectively. A six-axis robotic arm moves the reference cuvette and the sample cuvette from the sample preparation module to the optical characterization testing module 102 for subsequent testing steps. The automated optical characterization testing system in this embodiment can achieve full automation, high efficiency, unmanned operation, and standardization of the optical characterization testing process from sample preparation. It greatly saves time, improves efficiency, significantly reduces the instability of human operation, and can acquire standardized test data, which is convenient for subsequent database establishment for calculation, analysis, and comparison.

[0105] Furthermore, in this embodiment, the automated optical characterization testing system further includes a molecular structure acquisition module (not shown in the figure). The molecular structure acquisition module is used to acquire the molecular structure of the sample being tested, mark the positions of its parent nucleus and characteristic groups, and sort and number the types of characteristic groups at each position. The data processing module 1032 is electrically connected to the molecular structure acquisition module. The data processing module 1032 calculates the degree of influence of each characteristic group at each position on the optical characterization testing parameters based on the optical characterization testing parameters of the parent nucleus sample being tested, sorts the characteristic groups according to the magnitude of their influence on the optical characterization testing parameters, and records the sorting results along with the molecular formula structure of the corresponding sample being tested into the database.

[0106] Furthermore, in this embodiment, the molecular structure acquisition module includes one or more of the following: a molecular structure analyzer and a molecular structure testing instrument.

[0107] It is worth noting that, since the above-mentioned analysis module 103 can construct a standardized database, which records the optical characterization test results of all tested samples, the automated optical characterization test system of this application can analyze and output the basic relationship between the optical characterization test results and the molecular structure, especially the relationship with the characteristic groups in the molecular structure. Experimenters can adjust the experimental direction based on the above experimental results to further improve the analysis efficiency.

[0108] When performing optical characterization tests on the tested samples, the control module 1031 can independently control the operation module 101, image acquisition module 1021, and spectral testing module 1022 to collaboratively complete the optical characterization test process without the assistance of experimental personnel, following certain methods and steps. This achieves automation, high efficiency, and unmanned operation of the entire optical characterization test process, greatly saving time and improving testing efficiency. Furthermore, the data processing module 1032 is electrically connected to both the image acquisition module 1021 and the spectral testing module 1022. It can not only receive and summarize the test results from the image acquisition module 1021 and the spectral testing module 1022 and automatically organize the test results, but also process the test results and input them into a database, improving the accuracy of the test data and constructing a standard database for reference in subsequent experiments or research.

[0109] like Figure 2A The diagram shown illustrates a flowchart of an automated optical characterization testing method according to an embodiment of this application, applied to the analysis module 103 of an automated optical characterization testing system. The method includes:

[0110] S201: Send a first control command to the operation module 101 according to the test requirements, so that the operation module 101 can make the sample to be tested.

[0111] Specifically, in this embodiment, as Figure 2B The diagram illustrates a process for preparing a sample to be tested according to an embodiment of this application. The steps for the operation module 101 to prepare the sample to be tested include:

[0112] S2011: Grab the solution preparation bottle and open the cap;

[0113] S2012: Transfer the dispensing bottle to the electronic balance;

[0114] S2013: Use the powder dispensing assembly to dispense powder into the solution bottle and weigh it, pick up and install the pipette tip, and open the solvent bottle cap;

[0115] S2014: Use a pipette to measure the solvent, transfer the solvent into the dispensing bottle, and close the solvent bottle cap.

[0116] S2015: Pick up the solution preparation bottle and close its cap;

[0117] S2016: Transfer the solution bottle to the vortex shaker and let the vortex shaker continuously shake the solution bottle for a preset time;

[0118] S2017: Replace pipette tip;

[0119] S2018: Grab the solution preparation bottle and open the cap;

[0120] S2019: Use a pipette to measure a quantitative amount of solution and transfer the solution to the reference cuvette and the sample cuvette.

[0121] It is worth noting that the automated optical characterization testing method of this application can not only automate the optical characterization testing process of the tested sample, but also automate the preparation of the tested sample according to the testing requirements, saving manpower and time and improving testing efficiency.

[0122] S202: Send a second control command to the operation module 101 to instruct the operation module 101 to set up the test scenario.

[0123] Specifically, in this embodiment, as Figure 2C The diagram shown illustrates a flowchart of how the operation module 101 sets up a test scenario in one embodiment of this application. The steps include:

[0124] S2021: Transport the reference cuvette and sample cuvette to the absorption sample chamber;

[0125] S2022: Open the absorption sample chamber and place the reference cuvette and the sample cuvette into the two slots in the absorption sample chamber in turn;

[0126] S2023: Close the absorption sample chamber and automatically select the test mode of the absorption spectrometer;

[0127] S2024: Adjust the test parameters of the absorption spectrometer to obtain the absorption spectrum of the reference cuvette and complete the calibration;

[0128] S2025: Adjust the test parameters of the absorption spectrometer to obtain the absorption spectrum of the sample cuvette and perform the measurement.

[0129] S203: Determine whether the test results of the absorption spectrum of the tested sample meet the requirements of the absorption spectrum test.

[0130] S204: If the test result of the absorption spectrum of the sample being tested meets the requirements of the absorption spectrum test, then the optical characterization test module is instructed to perform image acquisition and emission spectrum test, and step S206 is executed.

[0131] Specifically, in this embodiment, if the absorption value of the absorption spectrum of the sample being tested does not exceed a preset threshold, then the absorption spectrum of the sample being tested is a normal spectrum. In this case, the image acquisition module 1021 acquires an image of the sample being tested, and the operation module 101 transports the sample being tested to the emission sample chamber. Based on the test results of the absorption spectrum of the sample being tested, the test mode and test parameters of the emission spectrometer are adjusted, and the emission spectrum of the sample being tested is measured.

[0132] S205: If the test result of the absorption spectrum of the sample being tested does not meet the requirements of the absorption spectrum test, the operation module 101 shall dilute the concentration of the sample solution being tested, re-prepare the sample, and rearrange the test scene.

[0133] Specifically, in this embodiment, if the absorption value of the absorption spectrum of the sample being tested exceeds a preset threshold, the absorption spectrum of the sample being tested is an abnormal spectrum. Then, the operation module 101 is instructed to dilute the concentration of the sample solution being tested and re-prepare the sample, and return to step S202. The dilution factor of the concentration of the sample solution being tested is determined according to the actual test requirements.

[0134] S206: Determine whether the test results of the emission spectrum of the sample being tested meet the emission spectrum test requirements.

[0135] S207: If the test results of the emission spectrum of the sample being tested meet the test requirements of the emission spectrum, then instruct the operation module to remake the sample and rearrange the test scene.

[0136] Specifically, in this embodiment, if the luminescence intensity of the emission spectrum of the sample being tested does not exceed a preset threshold, then the emission spectrum of the sample being tested is a normal spectrum, and the operation module is instructed to remake the sample and return to step S201.

[0137] S208: If the test result of the emission spectrum of the sample being tested does not meet the test requirements of the emission spectrum, the operation module shall reduce the grating opening of the emission spectrometer and then the optical characterization test module shall re-perform the emission spectrum test.

[0138] Specifically, in this embodiment, if the luminescence intensity of the emission spectrum of the sample being tested exceeds a preset threshold, the emission spectrum of the sample being tested is an abnormal spectrum. Then, the operation module reduces the grating opening of the emission spectrometer and returns to step S204 to retest the emission spectrum of the sample being tested.

[0139] S209: Obtain the optical characterization status data, absorption spectrum test data, and emission spectrum test data of the sample under test from the optical characterization test module, and enter the data into the database after data processing.

[0140] Specifically, in this embodiment, the steps for processing the acquired test data (not shown in the figure) include:

[0141] S2091: Based on the absorption and emission spectrum test results acquired by the received spectral testing module, calculate the optical characterization parameters of the sample being tested.

[0142] S2092: Calculate the long-afterglow decay lifetime curve of the tested sample based on the image information acquired by the image acquisition module and the long-afterglow emission image information.

[0143] S2093: Based on the test results of the tested sample, determine whether the test results fall within a preset range;

[0144] S2094: If the test result of the tested sample falls within a preset range, the information of the tested sample falling within the preset range and its test result are entered into the database.

[0145] S2095: If the test result of the tested sample does not fall within the preset range, then determine whether the test result of the tested sample is the first time that an abnormality has occurred;

[0146] S2096: If the test result of the sample being tested is abnormal for the first time, then the operation module shall remake the sample and rearrange the test scenario.

[0147] S2097: If the test result of the tested sample is not the first time that an anomaly has occurred, the test result of the tested sample shall be recorded as abnormal data and verified.

[0148] Specifically, in this embodiment, the optical characterization parameters include, but are not limited to: absorption wavelength, emission wavelength, full width at half maximum (FWHM), quantum efficiency, molar extinction coefficient, and chromaticity coordinates.

[0149] S210: Visualize the real-time progress and test results of the optical characterization test.

[0150] Specifically, in this embodiment, the display module 1033 can display the entire process of optical characterization testing of the sample under test, enabling the experimenter to obtain the real-time progress and results of the optical characterization test. The methods for graphically displaying the real-time progress and test results of the optical characterization test of the sample under test include, but are not limited to: the compound name, emission wavelength, parent nucleus type, quantum efficiency, absorption wavelength, full width at half maximum (FWHM), molar extinction coefficient, color coordinates, absorption spectrum curve, emission spectrum curve, photographed image, long afterglow emission image, etc.

[0151] Furthermore, in this embodiment, after performing step S210, the method also performs the following steps:

[0152] A third control command is sent to the molecular structure acquisition module to acquire the molecular structure of the sample being tested and mark the positions of its parent nucleus X and characteristic groups, which are sequentially denoted as positions a, b, c... and the types of characteristic groups at each position are sorted and numbered as 0, 1, 2, 3... n, where 0 represents hydrogen groups and the rest are sorted according to a certain rule.

[0153] Based on the optical characterization test parameters of the sample of the parent nucleus X, the influence degree E(X) of each characteristic group at position a on the optical characterization test parameters is calculated and sequentially labeled as E(X). a1 ), E(X) a2 ), E(X) a3 ...; At the same time, the influence of each characteristic group at the remaining positions on the optical characterization test parameters is calculated and labeled as E(Xb1), E(Xb2), E(Xb3)... and E(Xc1), E(Xc2), E(Xc3)... in sequence;

[0154] The characteristic functional groups are sorted according to their influence on the optical characterization test parameters, and the sorting results are entered into the database along with the molecular formula of the corresponding sample being tested.

[0155] Furthermore, in this embodiment, after performing step S210, the method also performs the following steps:

[0156] For molecular structures with the same basic structure but multiple characteristic groups at multiple positions, the molecular structure acquisition module assigns each characteristic group at each position (a, b, c, etc.) the same natural number label in the same regular pattern to obtain the code of the molecular structure with the same parent nucleus in the form of [an, bn, cn...].

[0157] Based on the test results of the optical characterization test of the tested sample, the degree of synergistic influence E(X) of multiple characteristic groups at multiple positions on the optical characterization test parameters is calculated and labeled as E[X(an, bn, cn...)] in sequence;

[0158] The degree of synergistic influence E(X) of multiple characteristic groups at multiple locations of the sample to be tested on the optical characterization test parameters is ranked, and the combination scheme of one or more characteristic groups with the best optical characterization test performance of the sample to be tested is obtained and recorded as the preferred group.

[0159] Groups are formed by combining one or more groups that perform well at each position, and these groups are defined as prediction groups.

[0160] Determine whether the actual test results of the prediction group have been selected into the preferred group;

[0161] If it has been selected, the verification is successful, the predicted group is marked as the preferred group and the combination is retained;

[0162] If not selected, the verification fails, and the prediction result is recorded.

[0163] In-depth analysis of the combinations in the preferred group and the combinations that failed verification was conducted to obtain the relationship between the results of optical characterization tests and specific combinations of characteristic groups.

[0164] Furthermore, in this embodiment, the method can also be applied to another series of compounds with different parent nuclei. The parent nucleus is replaced from molecular structure X to molecular structure Y. The subsequent testing and analysis steps are roughly the same as described above, and will not be repeated here. Finally, we obtain: the degree of synergistic influence of multiple characteristic groups at multiple positions on the optical characterization test parameters based on the new basic compound structure in a new round of testing, E(Y), and denoted as E[Y(an, bn, cn...)].

[0165] It is worth noting that for parent nuclei X and Y with similar molecular structures or properties, theoretically, the results of their optical characterization tests are more likely to show similarities to specific combinations of characteristic groups. Therefore, researchers can set a reference group for the analysis module before conducting a series of tests on a new parent nucleus to improve the module's efficiency in analyzing the test results. Conversely, the analysis module can also determine whether the parent nucleus to be tested is similar to previously tested parent nuclei based on its molecular formula or structure, thereby automatically selecting a reference group to improve the module's efficiency in analyzing the test results.

[0166] However, for a series of parent nuclei P, Q, R, etc., with dissimilar molecular structures or properties, the results may not be similar to those of parent nuclei X, Y, etc. In such cases, the analysis module needs to classify them into a new category and repeat the above steps to explore the preferred group suitable for the new type of parent nuclei. After accumulating a certain number of series of tests, the analysis module can present the results of verified or questionable optical characterization tests and the relationship between specific combinations of characteristic groups to the experimenters. The experimenters can then adjust their experimental direction based on these results to further improve research efficiency.

[0167] Furthermore, in this part of the test, the analysis module can further verify the influence of different characteristic groups at each position on the optical characterization test results, as well as the influence of combinations of characteristic groups on the optical characterization test results. Similarly, the analysis module can screen out the combinations of groups that performed well in the previous series of tests and compare them with the combinations of groups that performed well in the current series of tests. If the performance of this combination is still selected into the preferred group, the experimental results are recorded for future reference; if the performance of this combination is significantly different from the previous ones and it is not selected into the preferred group, the new combination is added to the preferred group, and the original combination is marked for researchers to review and further study.

[0168] In one embodiment of this application, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the automated optical characterization testing method described above.

[0169] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented using computer program-related hardware. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0170] In the embodiments provided in this application, the computer-readable and writable storage medium may include read-only memory, random access memory, EEPROM, CD-ROM or other optical disc storage devices, disk storage devices or other magnetic storage devices, flash memory, USB flash drive, portable hard drive, or any other medium capable of storing desired program code in the form of instructions or data structures and accessible by a computer. Additionally, any connection may be appropriately referred to as a computer-readable medium. For example, if instructions are transmitted from a website, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of the medium. However, it should be understood that computer-readable and writable storage media and data storage media do not include connections, carrier waves, signals, or other transient media, but are intended for non-transient, tangible storage media. The disks and optical discs used in the application include compact discs (CDs), laser discs, optical discs, digital multifunction discs (DVDs), floppy disks, and Blu-ray discs, where disks typically copy data magnetically, while optical discs use lasers to copy data optically.

[0171] like Figure 3 The diagram shown is a schematic diagram of the structure of an electronic terminal in one embodiment of this application. The electronic terminal 300 provided in this example includes: a processor 301 and a memory 302; the memory 302 is connected to the processor 301 through a system bus and completes communication between them; the memory 302 is used to store computer programs; the processor 301 is used to run the computer programs stored in the memory 302, so that the electronic terminal 300 executes the automated optical characterization test method as described above.

[0172] The automated optical characterization testing method provided in this invention can be implemented on the terminal side or the server side. Regarding the hardware structure of the electronic terminal, please refer to... Figure 3 This is a schematic diagram of an optional hardware structure of an electronic terminal 300 provided in an embodiment of the present invention. The terminal 300 can be a mobile phone, computer device, tablet device, personal digital processing device, factory back-end processing device, etc. The electronic terminal 300 includes: at least one processor 301, a memory 302, at least one network interface 304, and a user interface 306. The various components in the device are coupled together through a bus system 305. It is understood that the bus system 305 is used to realize the connection and communication between these components. In addition to a data bus, the bus system 305 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in... Figure 3 The general will label all buses as bus systems.

[0173] The user interface 306 may include a monitor, keyboard, mouse, trackball, clicker, button, touchpad, or touch screen.

[0174] It is understood that memory 302 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM) or programmable read-only memory (PROM), used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memories described in the embodiments of this invention are intended to include, but are not limited to, these and any other suitable categories of memory.

[0175] In this embodiment of the invention, the memory 302 is used to store various types of data to support the operation of the electronic terminal 300. Examples of this data include: any executable program for operation on the electronic terminal 300, such as the operating system 3021 and application programs 3022; the operating system 3021 contains various system programs, such as the framework layer, core library layer, driver layer, etc., for implementing various basic services and handling hardware-based tasks. The application program 3022 may contain various applications, such as a media player, browser, etc., for implementing various application services. The automated optical characterization testing method provided in this embodiment of the invention can be included in the application program 3022.

[0176] The methods disclosed in the above embodiments of the present invention can be applied to or implemented by processor 301. Processor 301 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 301 or by instructions in software form. The processor 301 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 301 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. General-purpose processor 301 may be a microprocessor or any conventional processor, etc. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in memory. The processor reads the information in the memory and combines it with its hardware to complete the steps of the aforementioned method.

[0177] In an exemplary embodiment, the electronic terminal 300 may be used by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs) to execute the aforementioned method.

[0178] In summary, the automated optical characterization testing system, method, medium, and terminal of this application can achieve automation, high efficiency, and unmanned operation of the entire optical characterization testing process, greatly saving time, improving testing efficiency and the accuracy of test data, and significantly reducing the instability of human operation. Furthermore, this automated optical characterization testing system, method, medium, and terminal can not only automatically summarize and organize experimental data, but also identify anomalies, build a database, save data analysis time, and filter specific experimental results and adjust experimental directions. Therefore, this application effectively overcomes the various shortcomings of the prior art and has high industrial application value.

[0179] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. An automated optical characterization and testing system, characterized in that, include: An operation module, the operation scope of which covers the optical characterization test module, and performs corresponding operations; The optical characterization testing module includes an image acquisition module and a spectral testing module. The image acquisition module is used to acquire images of the sample under test to obtain the optical characterization state of the sample. The spectral testing module includes an absorption spectral testing module and an emission spectral testing module, which are used to perform absorption spectral testing and emission spectral testing on the sample under test, respectively. The analysis module includes a control module, a data processing module, and a display module. The control module is electrically connected to the operation module, the image acquisition module, and the spectral testing module to control these modules. The data processing module is electrically connected to both the image acquisition module and the spectral testing module to receive and summarize the test results from both modules, and to process the test results of the tested sample before entering them into the database. The display module is used to display the real-time progress and results of the optical characterization test; The automated optical characterization testing system further includes a molecular structure acquisition module, which is used to acquire the molecular structure of the sample being tested, mark the positions of its parent nucleus and characteristic groups, and sort and number the types of characteristic groups at each position. The data processing module is electrically connected to the molecular structure acquisition module. Based on the optical characterization test parameters of the parent nucleus of the sample being tested, the data processing module calculates the degree of influence of each characteristic group at each position on the optical characterization test parameters, sorts the characteristic groups according to the magnitude of their influence on the optical characterization test parameters, and enters the sorting results along with the molecular formula structure of the corresponding sample being tested into the database.

2. The automated optical characterization and testing system according to claim 1, characterized in that, The methods for processing the test results of the tested samples and then entering them into the database include any combination of one or more of the following methods: 1) The data processing module calculates the optical characterization parameters of the sample being tested based on the test results received from the spectral testing module; 2) The data processing module calculates the long-afterglow decay lifetime curve of the tested sample based on the image information acquired by the image acquisition module and the long-afterglow emission image information; 3) The data processing module performs anomaly judgment on the test results of the tested sample and enters the normal test results into the database.

3. The automated optical characterization and testing system according to claim 2, characterized in that, The data processing module performs anomaly detection on the test results of the detected sample using any combination of one or more of the following methods: 1) The data processing module determines whether the absorption value of the absorption spectrum exceeds a preset threshold based on the received absorption value of the absorption spectrum of the sample being tested, and determines the absorption spectrum that exceeds the preset threshold as an abnormal spectrum. 2) The data processing module determines whether the luminescence intensity of the emission spectrum of the received sample exceeds a preset threshold, and determines the emission spectrum that exceeds the preset threshold as an abnormal spectrum. 3) The data processing module determines whether the test results of the tested sample fall within a preset range based on the test results of the tested sample, and judges the tested sample that does not fall within the preset range as an abnormal sample.

4. The automated optical characterization and testing system according to claim 1, characterized in that, The automated optical characterization testing system also includes a sample preparation module for operation by the operation module; the sample preparation module includes a powder dispensing module, a pipette module, and an electronic balance module; the powder dispensing module is used to add solid powder to the preparation bottle; the pipette module is used to add liquid solvent to the preparation bottle; and the electronic balance module is used to weigh the total volume and concentration of the sample in the preparation bottle.

5. The automated optical characterization and testing system according to claim 4, characterized in that, The sample preparation module also includes a material reserve management module, which comprises a consumables management module, a reagent management module, and an image recognition module. The consumables management module manages the consumables used in the spectral testing experiment; the reagent management module manages the reagents used in the spectral testing experiment; and the image recognition module identifies the barcode information or image information of the reagents and consumables used in the spectral testing experiment. The material reserve management module is electrically connected to the data processing module, and the data processing module determines whether additional replenishment of consumables or reagents is required based on the operation records of each sampling by the material reserve management module.

6. An automated optical characterization testing method, applied to the analysis module of the automated optical characterization testing system as described in any one of claims 1-5, characterized in that, The method includes: According to the test requirements, a first control command is sent to the operation module to instruct the operation module to prepare the sample to be tested; Send a second control command to the operation module to instruct the operation module to set up the test scenario; Determine whether the test results of the absorption spectrum of the sample being tested meet the requirements of the absorption spectrum test; If the test results of the absorption spectrum of the sample being tested meet the requirements of the absorption spectrum test, then the optical characterization test module shall perform image acquisition and emission spectrum test. If the test results of the absorption spectrum of the sample being tested do not meet the requirements of the absorption spectrum test, the operation module will dilute the concentration of the sample solution being tested, re-prepare the sample, and rearrange the test scene. Determine whether the test results of the emission spectrum of the sample being tested meet the emission spectrum test requirements; If the test results of the emission spectrum of the sample being tested meet the test requirements of the emission spectrum, the operation module is instructed to remake the sample and rearrange the test scenario. If the test result of the emission spectrum of the sample being tested does not meet the test requirements of the emission spectrum, the operation module is instructed to reduce the grating opening of the emission spectrometer, and then the optical characterization test module is instructed to re-perform the emission spectrum test. The optical characterization state data, absorption spectrum test data, and emission spectrum test data of the sample under test are obtained from the optical characterization test module, and the data are processed and entered into the database. The real-time progress and test results of display optical characterization tests are graphically displayed. A third control command is sent to the molecular structure acquisition module to instruct the molecular structure acquisition module to acquire the molecular structure of the sample being tested, mark the location of its parent nucleus and characteristic groups, and sort and number the types of characteristic groups at each location. Based on the optical characterization test parameters of the tested sample, the degree of influence of each characteristic group at each position on the optical characterization test parameters is calculated, and the characteristic groups are sorted according to the degree of influence on the optical characterization test parameters. The sorting results and the molecular formula structure of the corresponding tested sample are entered into the database.

7. The automated optical characterization testing method according to claim 6, characterized in that, The process of sending a first control command to the operation module to instruct the operation module to prepare the sample to be tested includes instructing the operation module to perform the following steps: Grab the solution preparation bottle and open the cap; Transfer the dispensing bottle to the electronic balance; Use the powder dispensing assembly to dispense powder into the solution bottle and weigh it, grab the pipette tip and install it, and open the solvent bottle cap; Use a pipette to measure the solvent, transfer the solvent into the dispensing bottle, and then close the solvent bottle. Grab the solution preparation bottle and cap it; Transfer the solution bottle to the vortex shaker and let the vortex shaker continuously shake the solution bottle for a preset time. Replace the pipette tip; Grab the solution preparation bottle and open the cap; Use a pipette to measure a quantitative amount of solution and transfer the solution to the reference cuvette and the sample cuvette.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the automated optical characterization test method according to any one of claims 6 to 7.

9. An electronic terminal, characterized in that, include: Processor and memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory to cause the terminal to perform the automated optical characterization test method as described in any one of claims 6 to 7.

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