Fingerprint detection method for platycodon grandiflorum and flos farfarae tablets

Abstract

The invention is suitable for the technical field of fingerprint spectrum detection, and particularly relates to a platycodon grandiflorum and flos farfarae tablet fingerprint spectrum detection method which comprises the following steps: acquiring a reference substance solution which comprises a reference medicinal material solution and a reference substance solution, the reference medicinal material solution is a medicinal material solution obtained by extracting a flos farfarae reference medicinal material, and the reference substance solution is a medicinal material solution obtained by extracting a flos farfarae reference medicinal material; the reference substance solution is a solution extracted from a liquiritin reference substance, an ammonium glycyrrhizinate reference substance and a tenuifolin reference substance; obtaining a test sample solution, wherein the test sample solution is a solution for testing and analyzing prepared from the platycodon grandiflorum flos farfarae tablets to be detected; respectively taking 10 microliters of the reference solution, 10 microliters of the reference medicinal material solution and 10 microliters of the test solution; enabling each solution injected into the liquid chromatograph to meet the chromatographic conditions of the high performance liquid chromatography, and then determining to obtain the fingerprint spectrum of the platycodon grandiflorum and flos farfarae tablets. According to the fingerprint detection method for the platycodon grandiflorum and flos farfarae tablets, the quality of the platycodon grandiflorum and flos farfarae tablets can be comprehensively reflected, and the detection result is improved.

Description

Technical Field

[0001] The present application belongs to the field of fingerprint spectrum detection technology, and in particular, relates to a fingerprint spectrum detection method for Platycodon grandiflorum flower pieces. Background Art

[0002] Platycodon grandiflorum and winter flower tablets are a commonly used Chinese patent medicine, mainly composed of Platycodon grandiflorum, Coltsfoot flower, Polygala tenuifolia (processed), and Licorice root. It has significant antitussive and expectorant effects; Platycodon grandiflorum and winter flower tablets are mainly used to treat cough with sputum, especially for cough caused by bronchitis.

[0003] In the related art, when testing Platycodon grandiflorum winter flower tablets, usually only a single component is tested, which cannot comprehensively and completely reflect the quality of Platycodon grandiflorum winter flower tablets. Platycodon grandiflorum winter flower tablets may have quality problems, affecting the use effect of Platycodon grandiflorum winter flower tablets. Summary of the invention

[0004] The embodiment of the present application provides a method for detecting the fingerprint spectrum of Platycodon grandiflorum slices, which can solve the problem that the quality of Platycodon grandiflorum slices cannot be comprehensively and completely reflected due to the detection of only a single component, thus affecting the use effect of Platycodon grandiflorum slices.

[0005] The present application provides a method for detecting a fingerprint spectrum of Platycodon grandiflorum flower slices, comprising:

[0006] Obtain a reference solution; wherein the reference solution includes a control medicinal material solution and a reference substance solution, wherein the control medicinal material solution is a medicinal material solution obtained by extracting a coltsfoot flower control medicinal material, and the reference substance solution is a solution obtained by extracting a liquiritin reference substance, an ammonium glycyrrhizinate reference substance, and a polygala tenuifolia saponin reference substance;

[0007] Obtaining a test solution; wherein the test solution is a solution prepared from the Platycodon grandiflorum slices to be tested for testing and analysis;

[0008] Take 10 μl of the reference solution, the reference medicinal material solution and the test solution respectively;

[0009] Each solution injected into the liquid chromatograph is made to meet the chromatographic conditions of the high performance liquid chromatography, and then the measurement is carried out to obtain the fingerprint spectrum of Platycodon grandiflorum tablets.

[0010] The fingerprint spectrum detection method of Platycodon grandiflorum tablets provided in the present application can lay a solid foundation for subsequent analysis and testing by obtaining a reference solution and a test solution, and extracting and preparing the reference solution and the test solution; taking 10 μl of the reference solution, the reference medicinal material solution and the test solution respectively, can perform qualitative analysis on the main active ingredients in the test sample, and can also perform quantitative analysis, has good repeatability and accuracy, and can provide reliable data support for the quality control of Chinese medicinal materials; each solution injected into the liquid chromatograph is made to meet the chromatographic conditions of the high performance liquid chromatography, and then the measurement is performed to obtain the fingerprint spectrum of Platycodon grandiflorum tablets, which can improve the separation effect. The fingerprint spectrum of Platycodon grandiflorum tablets can clearly show the distribution of its main components, which not only helps to ensure the stability and consistency of product quality, but also can serve as an important basis for identifying authenticity, so that each batch of products meets the quality standards, and can comprehensively and completely reflect the quality and use effect of Platycodon grandiflorum tablets. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0012] Figure 1 It is a schematic diagram of the process of the fingerprint spectrum detection method of Platycodon grandiflorum flower slices provided in one embodiment of the present application;

[0013] Figure 2 It is a schematic flow chart of the steps for obtaining a reference medicinal material solution in the fingerprint spectrum detection method of Platycodon grandiflorum slices provided in one embodiment of the present application;

[0014] Figure 3 It is a schematic flow chart of the steps for obtaining a reference solution in the fingerprint spectrum detection method of Platycodon grandiflorum slices provided in one embodiment of the present application;

[0015] Figure 4 It is a schematic flow chart of the steps for obtaining a test solution in the fingerprint spectrum detection method of Platycodon grandiflorum slices provided in one embodiment of the present application;

[0016] Figure 5 It is a schematic flow chart of the steps for implementing the chromatographic conditions in the fingerprint spectrum detection method of Platycodon grandiflorum slices provided in one embodiment of the present application;

[0017] Figure 6 It is a flow chart of another method for detecting the fingerprint spectrum of Platycodon grandiflorum flower slices provided in one embodiment of the present application;

[0018] Figure 7It is a schematic diagram of the implementation process of step S310 in the Platycodon grandiflorum flower slice fingerprint spectrum detection method provided in one embodiment of the present application;

[0019] Figure 8 It is a schematic diagram of the implementation process of step S320 in the Platycodon grandiflorum flower slice fingerprint spectrum detection method provided in one embodiment of the present application;

[0020] Fig. 9 It is a structural schematic diagram of the Platycodon grandiflorum flower slice fingerprint spectrum detection system provided in the embodiment of the present application;

[0021] Fig.10 It is a structural schematic diagram of a control device of a Platycodon grandiflorum flower slice fingerprint spectrum detection device provided in an embodiment of the present application;

[0022] Fig.11 It is the sample fingerprint spectrum and generated reference spectrum provided in the embodiment of the present application;

[0023] Fig.12 This is a sample matching result diagram provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0025] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0026] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0027] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0028] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0029] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0030] Platycodon grandiflorum and winter flower tablets are a commonly used Chinese patent medicine, mainly composed of Platycodon grandiflorum, Coltsfoot flower, Polygala tenuifolia (processed), and Licorice root. It has significant antitussive and expectorant effects; Platycodon grandiflorum and winter flower tablets are mainly used to treat cough with sputum, especially for cough caused by bronchitis.

[0031] In the related art, when testing Platycodon grandiflorum winter flower tablets, usually only a single component is tested, which cannot comprehensively and completely reflect the quality of Platycodon grandiflorum winter flower tablets. Platycodon grandiflorum winter flower tablets may have quality problems, affecting the use effect of Platycodon grandiflorum winter flower tablets.

[0032] In the method, by obtaining a reference solution and a test solution, and by extracting and preparing the reference solution and the test solution, a solid foundation can be laid for subsequent analysis and testing; 10 μl of the reference solution, the reference medicinal material solution and the test solution are taken respectively, so that the main active ingredients in the test sample can be qualitatively analyzed, and quantitative analysis can be performed, with good repeatability and accuracy, and reliable data support can be provided for the quality control of Chinese medicinal materials; each solution injected into the liquid chromatograph is made to meet the chromatographic conditions of the high performance liquid chromatography, and then the measurement is performed to obtain the fingerprint spectrum of Platycodon grandiflorum tablets, which can improve the separation effect, and the fingerprint spectrum of Platycodon grandiflorum tablets can clearly show the distribution of its main components, which not only helps to ensure the stability and consistency of product quality, but also can serve as an important basis for identifying authenticity, so that each batch of products meets the quality standards, and can comprehensively and completely reflect the quality and use effect of Platycodon grandiflorum tablets.

[0033] The Platycodon grandiflorum slice fingerprint spectrum detection method provided in the embodiment of the present application can be applied to the Platycodon grandiflorum slice fingerprint spectrum detection device. At this time, the Platycodon grandiflorum slice fingerprint spectrum detection device is the executor of the Platycodon grandiflorum slice fingerprint spectrum detection method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the Platycodon grandiflorum slice fingerprint spectrum detection device.

[0034] For example, the fingerprint spectrum detection device of Platycodon grandiflorum slices includes a control device and a spectrum detection device; the control device and the spectrum detection device are communicatively connected; the spectrum detection device can be a gas chromatograph, a mass spectrometer or a liquid chromatograph, etc., but is not limited thereto. The control device can be a tablet computer, a vehicle-mounted device, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a desktop computer, a smart large screen, a smart TV, a computer, a laptop computer, a handheld computing device, etc.

[0035] In order to better understand the Platycodon grandiflorum slice fingerprint spectrum detection method provided in the embodiment of the present application, the specific implementation process of the Platycodon grandiflorum slice fingerprint spectrum detection method provided in the embodiment of the present application is exemplarily introduced below.

[0036] Figure 1 A schematic flow chart of a method for detecting the fingerprint spectrum of Platycodon grandiflorus slices provided in an embodiment of the present application is shown. The method for detecting the fingerprint spectrum of Platycodon grandiflorus slices comprises:

[0037] S100A, obtaining a reference solution; wherein the reference solution includes a control medicinal material solution and a reference substance solution, the control medicinal material solution is a medicinal material solution obtained by extracting and treating the coltsfoot flower reference medicinal material, and the reference substance solution is a solution obtained by extracting and treating the liquiritin reference substance, the ammonium glycyrrhizinate reference substance and the polygala tenuifolia saponin reference substance.

[0038] For example, the reference solution can be obtained by extraction in a laboratory; a certain volume of the standard solution can be accurately measured using a pipette or an automatic pipette in the laboratory. For example, dilution can also be performed, and during the dilution process, the experimenter can record the volume of deionized water used and calculate the actual concentration of the reference solution.

[0039] In one possible implementation, see Figure 2 and Figure 3 , S100A, obtain a reference solution, including:

[0040] S110A, 0.2 g of coltsfoot herb control material was taken and placed in a stoppered conical flask, and 25 ml of 70% pure methanol was added, followed by ultrasonic treatment for 60 minutes to obtain a mixed solution.

[0041] It can be understood that taking 0.2g of coltsfoot control medicinal material can be done manually or by automatic equipment; for example, the automatic equipment can be taken using an automated clamping device; wherein the clamping device includes an automatic claw clamp or an electric clamp; the automatic clamp and the electric clamp may include a motor and a clamping claw, and the motor controls the clamping claw to be relatively close to clamp the coltsfoot flower and relatively far away to loosen the coltsfoot flower. Ultrasonic treatment can be to generate high-frequency vibration using an ultrasonic generator, convert electrical energy into mechanical energy through an ultrasonic transducer, and thus generate ultrasonic waves in the medium. Ultrasonic cleaning equipment generally includes an ultrasonic generator, a cleaning tank, and a thermostat; wherein the thermostat can be a machine or device for controlling temperature.

[0042] In this way, during the process of extracting the coltsfoot flower, ultrasonic treatment can be used to clean impurities and microorganisms on the surface of the medicinal material, ensure the purity and safety of the medicinal material, and improve the extraction efficiency and extraction rate. Ultrasonic assisted extraction technology has the advantages of simple operation, short extraction time, high extraction rate and low energy consumption. Whether it is the clamping process of extracting the coltsfoot flower or the subsequent cleaning and extraction process, the application of automation and ultrasonic treatment technology has greatly improved work efficiency and product quality.

[0043] S120A, after the ultrasonic treatment is completed, the mixed solution is taken out from the stoppered conical flask, and a pre-treatment operation is performed on the taken out mixed solution; wherein the pre-treatment operation includes a cooling operation, a shaking operation and a centrifugation operation.

[0044] It can be understood that after the ultrasonic treatment is completed, the mixed solution is taken out from the stoppered conical flask, and the taken out mixed solution is cooled, shaken and centrifuged; the cooling operation can be to place the mixed solution at room temperature and let it cool down naturally to the ambient temperature; it can also be to accelerate the cooling process, the conical flask can be placed in an ice bath and gently shaken to promote the dissipation of heat; fans, air conditioners and other auxiliary devices can also be used for auxiliary cooling, but not limited to this. The shaking operation can be performed after cooling, and the conical flask can be shaken by an oscillator or manually to evenly distribute the components in the mixed solution, or stirring can be performed by a stirring rod, but not limited to this. The centrifugal operation can be to separate the solid particles or precipitates in the mixed solution from the liquid part, and can be performed by using a centrifuge, but not limited to this; during the centrifugation process, it is necessary to select a suitable speed and centrifugation time according to the characteristics of the mixed solution and the required separation effect.

[0045] S130A, after the current processing operation is completed, the supernatant in the mixed solution is taken as the control medicinal material solution in the reference solution.

[0046] It can be understood that after the cooling operation, shaking operation and centrifugation operation are completed, the supernatant in the mixed solution is taken as the control medicinal material solution in the reference solution; it can be sucked through a pipette, a syringe, etc., but is not limited to this.

[0047] S140A, take preset weights of liquiritin reference substance, ammonium glycyrrhizinate reference substance and Polygala tenuifolia saponin reference substance; then use 70% pure methanol to prepare a fusion solution containing 8 μg of liquiritin reference substance, 80 μg of ammonium glycyrrhizinate reference substance and 30 μg of Polygala tenuifolia saponin reference substance per 1 ml, and use the fusion solution as the reference solution in the reference solution.

[0048] It can be understood that the preset weight can be obtained according to the actual preparation capacity after balancing the preparation process and usage ratio, and can be extracted from the database; the database can be a summary of the standard weight values ​​recorded one by one in each actual preparation process, and the weight value can be used directly.

[0049] S200A, obtaining a test solution; wherein the test solution is a solution prepared from the Platycodon grandiflorum slices to be tested for testing and analysis.

[0050] It can be understood that after weighing an appropriate amount of sample, the sample is transferred to an appropriate container, an appropriate amount of solvent is added, and after adding the solvent, a glass rod is used to gently stir, and after the sample is completely dissolved, the solution is evenly mixed.

[0051] For example, an electronic balance can be used for weighing; the solvent can be selected according to the properties of the sample and the purpose of the experiment. For example, if the sample is a water-soluble compound, water is selected as the solvent; if the sample is an organic compound, methanol, ethanol or other organic solvents can be selected.

[0052] In one possible implementation, see Figure 4 , S200A, obtain the test solution, including:

[0053] S210A, take 20 pieces of Platycodon grandiflorum tablets, remove the coating and grind them into powder, weigh them to 2 g, and place them in a stoppered conical bottle.

[0054] It is understood that grinding can be done by traditional manual grinding methods, including mortar and pestle, through repeated grinding and stirring, the medicinal materials are ground into fine powder; it can also be done by mechanical grinding, using grinders, ball mills, etc., but not limited to this. Mechanical equipment usually uses high-speed rotating grinding discs or grinding balls to achieve the purpose of grinding through collision and friction between materials; removing the coating can be done by manual methods, such as using a knife or tweezers to peel off the coating on the surface of the medicinal material; it can also be assisted by machinery, such as using a coating stripping machine, etc., but not limited to this. The coating stripping machine can effectively remove the coating on the surface of the medicinal material through specific mechanical actions, such as scraping, vibration, etc.

[0055] With this setting, manual grinding can better retain the original ingredients of the medicinal materials; mechanical grinding can grind the materials on a large scale and efficiently. Mechanical grinding not only improves production efficiency, but also can adjust the grinding fineness according to needs.

[0056] S220A, then add 25 ml of methanol with a purity of 70%, seal the stoppered conical flask, weigh it, and then perform ultrasonic treatment for 60 minutes to obtain a blended solution; wherein the power of the ultrasonic treatment is 480 W and the frequency is 43 kHz.

[0057] With this setting, the ultrasonic treatment power is 480W and the frequency is 43kHz, which can ensure efficient acoustic vibration in the blending liquid. The power of 480W is enough to make the molecules in the methanol and S220A mixture vibrate violently under the action of sound waves, thereby accelerating their interaction and mixing uniformity. Ultrasonic waves with a frequency of 43kHz can produce more bubbles, which will undergo a process of growth and collapse under the periodic compression and expansion of sound waves, which is the so-called "cavitation effect". The cavitation effect is a key mechanism in ultrasonic treatment. It can produce local high-pressure and high-temperature areas in the liquid, which helps to break the agglomeration of solid particles and promote full contact and mixing between solvents and solutes. In addition, the cavitation effect can also produce free radicals and active substances, which are helpful for certain chemical reactions. After 60 minutes of ultrasonic treatment, the components in the blending liquid will be more evenly dispersed, thereby improving the reaction efficiency and reproducibility in subsequent experiments or applications. At the same time, due to the uniform effect of ultrasonic treatment, the local concentration differences caused by insufficient stirring can be reduced, and the accuracy and reliability can be improved.

[0058] S230A, after the ultrasonic treatment is completed, the blended liquid is cooled, weighed, and the missing weight is supplemented with methanol with a purity of 70%, and then the blended liquid is subjected to sample processing operation; wherein the sample processing operation includes shaking operation and centrifugation operation.

[0059] In this arrangement, by cooling and weighing the blended liquid, the weight loss due to evaporation or other reasons during the ultrasonic treatment can be accurately determined. By using 70% pure methanol to make up for the missing weight, the total volume of the sample can be kept constant, so that the various components in the sample are evenly distributed, which can improve the accuracy and repeatability of sample processing, thereby improving the reliability and validity of the analysis results.

[0060] S240A, after the sample processing operation is completed, take the supernatant in the prepared solution as the test solution.

[0061] In this way, taking the supernatant in the blending solution as the test solution can reduce the analytical error caused by interference from solid particles and improve the accuracy of the test results. When performing analysis and other operations, baseline fluctuations or signal interference caused by particulate matter can be avoided, thereby obtaining more stable and reliable analytical data.

[0062] S300A, take 10 μl of each of the reference solution, reference medicinal material solution and test solution.

[0063] In this setting, 10 μl of each reference solution, reference medicinal material solution, and test solution are taken respectively. By using the same volume of solution, the error caused by different sampling volumes can be eliminated, thereby improving the reliability of the experimental results. The use of a uniform sampling volume can also help simplify the experimental operation and reduce human operation errors. In addition, when conducting experiments, maintaining a consistent sampling volume can ensure that the relative height and area of ​​the chromatographic peaks are comparable, thereby facilitating quantitative analysis of the results, and can also optimize the experimental process and improve work efficiency.

[0064] S400A, making each solution injected into the liquid chromatograph meet the chromatographic conditions of the high performance liquid chromatography, and then performing measurement to obtain the fingerprint spectrum of Platycodon grandiflorum tablets.

[0065] It is understandable that chromatographic conditions may include, but are not limited to, the selection and use of fillers, the selection and use of mobile phases, the length of detection wavelengths, etc.; authenticity and quality can be quickly identified so that each step can achieve the expected effect, thereby ensuring the stability of the quality of the final product; minor changes in the production process can also be discovered, process parameters can be adjusted, and the production of unqualified products can be avoided.

[0066] In one possible implementation, see Figure 5 , S400A, making each solution injected into the liquid chromatograph meet the chromatographic conditions of the high performance liquid chromatography and then conducting the measurement, comprising:

[0067] Octadecylsilane bonded silica gel is used as a filler; acetonitrile is used as a mobile phase A, and a 0.049% phosphoric acid solution is used as a mobile phase B for gradient elution; the detection wavelength is 230 nm; the chromatographic peak of ammonium glycyrrhizinate is used as a benchmark, and the theoretical plate number calculated by the calculation formula of the theoretical plate number reaches at least 5000.

[0068] N=16(TR)2

[0069] It can be understood that the calculation formula of the theoretical plate number is W; where t is the retention time of the solute, and W is the width of the chromatographic peak at the baseline. The larger the value, the higher the separation efficiency of the chromatographic column, the sharper the peak shape, and the better the separation effect. Therefore, the minimum limit of the theoretical plate number is stipulated in the chromatographic analysis method, which improves the accuracy and repeatability of the analysis method. The theoretical plate number (N) is a parameter for measuring the separation efficiency of the chromatographic column in chromatographic analysis. It is based on the plate theory and is used to describe the performance of the chromatographic column.

[0070] Such a setting can improve the sensitivity and separation efficiency of the analysis. Octadecylsilane bonded silica gel is used as a filler because of its good hydrophobicity and can effectively retain non-polar or medium-polar compounds. At the same time, by adjusting the composition of the mobile phase, the target compound can be optimized for separation. Acetonitrile, as mobile phase A, has a lower viscosity and higher solubility, which can increase the flow rate of the chromatographic column, shorten the analysis time, reduce the column pressure, and extend the service life of the chromatographic column. 0.049% phosphoric acid solution is used as mobile phase B, which can adjust the pH value of the mobile phase, enhance the symmetry of the chromatographic peak, and reduce tailing, thereby improving the separation effect. Through gradient elution, the composition of the mobile phase can be gradually changed so that compounds of different polarities are eluted out in turn in the chromatographic column, thereby achieving effective separation of multiple components in complex samples; the detection wavelength is set to 230nm because many organic compounds have high absorption at this wavelength, thereby improving the sensitivity of detection; taking the chromatographic peak of ammonium glycyrrhizinate as a benchmark, the theoretical plate number calculated using the calculation formula of the theoretical plate number reaches at least 5000, proving that the chromatographic column has a high separation efficiency. The higher the theoretical plate number, the narrower the chromatographic peak, the more symmetrical the peak shape, and the better the separation effect, thereby more accurately quantitatively analyzing the target compounds in the sample.

[0071] In a possible implementation, gradient elution includes:

[0072] When the time period is 0 to 30 minutes: the volume percentage of mobile phase A increases from 18% to 35%; the volume percentage of mobile phase B decreases from 85% to 65%.

[0073] When the time period is 30 to 45 minutes: the volume percentage of mobile phase A increases from 35% to 45%; the volume percentage of mobile phase B decreases from 65% to 55%.

[0074] When the time period is 45 to 50 minutes: the volume percentage of mobile phase A increases from 45% to 70%; the volume percentage of mobile phase B decreases from 55% to 30%.

[0075] When the time period is 50 to 65 minutes: the volume percentage of mobile phase A increases from 70% to 75%; the volume percentage of mobile phase B decreases from 30% to 25%.

[0076] When the time period is 65-73 minutes: the volume percentage of mobile phase A is 18%; the volume percentage of mobile phase B is 82%.

[0077] With this setting, within ~30 minutes, the volume percentage of mobile phase A gradually increases from 18% to 35%, while mobile phase B correspondingly decreases from 85% to 65%. This gradient change helps to elute the less hydrophilic components in the sample first, while avoiding peak broadening or overlapping caused by too fast elution speed.

[0078] Among them, within the time period of 30 to 45 minutes, the volume percentage of mobile phase A continues to increase to 45%, and mobile phase B decreases to 55%. This gradient change helps to further separate those moderately hydrophilic components that were not completely separated in the previous stage. By gradually increasing the proportion of mobile phase A, the elution intensity can be improved, thereby achieving better separation effects.

[0079] At 45 to 50 minutes, the volume percentage of mobile phase A is rapidly increased to 70%, and mobile phase B is reduced to 30%. This gradient change is to elute the more hydrophilic components. Since these components usually have a stronger interaction with the stationary phase, a stronger elution ability is required to effectively separate them from the chromatographic column.

[0080] During the period of 50 to 65 minutes, the volume percentage of mobile phase A continued to increase slowly to 75%, and mobile phase B was reduced to 25%. This gradient change helped to elute all components and finally optimize the chromatogram to obtain the best peak shape and resolution.

[0081] Finally, during the period of 65 to 73 minutes, the volume percentage of mobile phase A returned to the initial 18%, and that of mobile phase B returned to 82%. This gradient change was to rebalance the chromatographic system in preparation for the analysis of the next sample. By restoring the initial mobile phase ratio, the regeneration and stability of the chromatographic column could be ensured, thereby ensuring the consistency and repeatability of subsequent analyses.

[0082] Table 1 shows the changes in time, mobile phase A and mobile phase B during gradient elution;

[0083]

[0084] Table 1

[0085] In summary, by gradually and rapidly changing the mobile phase ratio, the different hydrophilic components in the sample can be effectively separated, which not only improves the separation efficiency, but also optimizes the peak shape and reduces peak overlap, thereby improving the accuracy and reliability of the analysis. In addition, by rebalancing the mobile phase ratio at the end of the analysis, the stability and repeatability of the chromatographic system are improved, providing a guarantee for continuous sample analysis.

[0086] In a possible implementation, the detector of the high performance liquid chromatograph is an ultraviolet detector, and during the detection process, the flow rate of the mobile phase is set to 1.0 ml per minute and the column temperature is set to 30°.

[0087] In this way, setting the flow rate of the mobile phase to 1.0 ml per minute can ensure that the sample moves at a moderate speed in the chromatographic column, neither too fast to cause poor separation effect, nor too slow to cause too long analysis time. It helps to improve the resolution of the chromatographic peaks, so that adjacent chromatographic peaks can be better separated, thereby improving the accuracy of the analysis. Setting the column temperature to 30° can provide a relatively stable analysis environment. Temperature has a great impact on chromatographic analysis. The increase in temperature usually increases the distribution coefficient of the sample between the mobile phase and the stationary phase, thereby affecting the retention time. By setting a constant column temperature, the impact of temperature fluctuations on the analysis results can be reduced, and the repeatability and reliability of the data can be improved; in addition, a temperature of 30° usually does not cause thermal damage to the chromatographic column and the sample, which is beneficial to protecting the service life of the chromatographic column and the stability of the sample.

[0088] In one possible implementation, see Figure 6 , the method further comprises:

[0089] S100, obtaining standard control data; wherein the standard control data is used to indicate the fingerprints of Platycodon grandiflorum slices that meet the standard requirements in history.

[0090] For example, it can be obtained through standard products, such as purchasing standard products of Platycodon grandiflorum tablets; it can also be done through literature research, by consulting relevant pharmacopoeias, academic papers and professional books to determine the standard fingerprint of Platycodon grandiflorum tablets; it can also be extracted from a data system; the database can be a pre-established system for storing various standard data, or it can be retrieved from the Internet.

[0091] S200, obtaining sample data; wherein the sample data is used to indicate the fingerprint spectrum of Platycodon grandiflorum flower slices that is not currently being tested.

[0092] For example, it can be obtained through standard products, and the standard products of Platycodon grandiflorum tablets can be purchased from certified suppliers. It can also be extracted from a data system; the database can be a pre-established system for storing various standard data, or it can be retrieved from the Internet. It can also be obtained by experiment in a laboratory; wherein, during the experiment, the sample is ground, weighed and extracted. During the extraction process, an organic solvent such as methanol or ethanol can be used to fully dissolve the active ingredients. After the extract is concentrated, it is separated and purified by appropriate chromatographic techniques. Commonly used chromatographic techniques include high performance liquid chromatography (HPLC), gas chromatography (GC) and thin layer chromatography (TLC). After obtaining a pure sample extract, the fingerprint map is drawn using spectral analysis technology, and the fingerprint map of Platycodon grandiflorum tablets can be constructed by ultraviolet-visible spectroscopy (UV-Vis), infrared spectroscopy (IR), mass spectrometry (MS) or nuclear magnetic resonance (NMR) technology.

[0093] S300, performing detection and analysis on the sample data according to the standard control data to obtain sample detection data; wherein the sample detection data is used to reflect the detection status of the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data.

[0094] Exemplarily, the detection and analysis of sample data can be detected using an analytical instrument, and high performance liquid chromatography (HPLC) is one of the methods for analyzing plant extract fingerprints; using an analytical instrument to detect can be to dissolve the standard reference substance and the sample to be tested in an appropriate solvent, respectively, and then inject the chromatograph for separation and detection. During the analysis, suitable analysis conditions can be set; such as analysis conditions can be the composition of the mobile phase, flow rate, column temperature, detection wavelength, etc., to obtain the best separation effect and detection sensitivity. In addition, in order to make the accuracy of the sample detection data, repeated experiments can be performed to calculate the mean value and standard deviation of the peak area. Through the above description, sample detection data can be obtained, and sample detection data can evaluate the quality and consistency of Platycodon grandiflorum winter flower tablets. If the sample detection data is consistent with the standard control data at a high degree, it indicates that the quality of the sample is better, otherwise it is necessary to further analyze the reason, which may be due to the difference caused by factors such as raw materials, production technology or storage conditions.

[0095] In a possible implementation, S300, performing detection and analysis on sample data according to standard control data to obtain sample detection data includes:

[0096] S310, performing qualitative analysis on the sample data according to the standard control data to obtain property data; wherein the property data is used to reflect the time and peak conditions between the Platycodon grandiflorum tablets fingerprint spectrum of the standard control data and the Platycodon grandiflorum tablets fingerprint spectrum indicated by the sample data;

[0097] Exemplarily, according to the reference of the standard control data, the sample data is qualitatively analyzed, and the results obtained by the analysis are used as property data. Qualitative analysis to obtain property data can be to perform peak matching, peak area and height analysis, peak retention time comparison, peak purity analysis and statistical analysis, and then perform data aggregation to obtain property data. Peak matching can align the fingerprint of the sample data with the fingerprint of the standard control data, identify the corresponding peaks in the two, and match the position and intensity of the peaks. Peak area and height analysis can be to measure the area and height of each matched peak. The peak area reflects the content of the compound, while the peak height can provide preliminary information about the concentration of the compound. Peak retention time comparison can reflect the migration speed of the compound in the chromatographic column. Peak purity analysis can be to use spectral technology (such as ultraviolet-visible spectroscopy, mass spectrometry, etc.) to perform purity analysis on each peak, so that the singleness of the peak helps to eliminate the interference of co-elution peaks that may exist in the sample data. Statistical analysis can be to process the property data by statistical methods (such as principal component analysis PCA, cluster analysis, etc.) to make the differences and similarities between the sample data and the standard control data.

[0098] In one possible implementation, see Figure 7 , S310, qualitatively analyzing the sample data according to the standard control data to obtain property data, including:

[0099] S311, obtaining first standard data and first comparative data; wherein the first standard data is used to reflect the time when certain compounds in the chromatographic product in the standard control data are detected after being separated in the chromatographic column, and the first comparative data is used to reflect the time when certain compounds in the chromatographic product in the sample data are detected after being separated in the chromatographic column.

[0100] It can be understood that the detected time can be understood as the time point or residence time when a peak is detected; the first standard data is obtained by analyzing and processing certain compounds in the chromatographic products in the standard control data; for example, a standard product can be prepared, and the standard product contains the specific compound to be detected. Before the analysis, the standard product can be prepared into a solution at a certain concentration for chromatographic analysis. Among them, when preparing the standard solution, a suitable solvent can be selected, the standard product can be accurately weighed and dissolved, and the concentration of each compound can be ensured to be within the instrument detection limit. By preparing standard solutions of different concentrations, a standard curve can be established for observation; when analyzing the analysis, chromatographic analysis can be used, and the analysis conditions can be column temperature, mobile phase and flow rate; then record the time when each compound is detected after being separated in the chromatographic column, and these times are the first standard data. When certain compounds in the chromatographic products in the control data are analyzed and processed, the processing process can be diluting, filtering, etc., the standard control data to remove impurities that may interfere with the chromatographic analysis; the method for obtaining the first comparison data is the same as the method for obtaining the first standard data mentioned above, the difference is that one is the standard control data and the other is the first comparison data.

[0101] S312, comparing the time indicated in the first standard data, searching the first comparison data for a time that is the same as the time indicated in the first standard data, and obtaining search result data; wherein the search result data is used to indicate whether the time searched in the first comparison data is the same as the time indicated in the first standard data.

[0102] It can be understood that the time searched for in the first comparison data that is the same as the time indicated in the first standard data can be the time indicated in the first standard data as a time point (or time period). For example, the time indicated in the first standard data is a time point of 5 minutes 20 seconds, 16 minutes 30 seconds, 20 minutes 10 seconds and 60 minutes 42 seconds. 5 minutes 20 seconds, 16 minutes 30 seconds, 20 minutes 10 seconds and 60 minutes 42 seconds are used as comparison points and searched in the first comparison data. For example, the time points found in the first comparison data are 8 minutes 20 seconds, 19 minutes 30 seconds, 20 minutes 10 seconds and 50 minutes 42 seconds. 8 minutes 20 seconds, 19 minutes 30 seconds, 20 minutes 10 seconds and 50 minutes 42 seconds are summarized to obtain the search result data.

[0103] S313, if the time searched in the first comparison data indicated in the search result data is the same as the time indicated in the first standard data, first satisfying data is obtained; the first satisfying data is used to indicate that the time indicated by the first comparison data meets the standard requirements.

[0104] Exemplarily, searching for the time that is the same as the time indicated in the first standard data in the first comparison data may be the time indicated in the first standard data as a time point (or time period), for example, the time indicated in the first standard data as a time point is 5 minutes 20 seconds, 16 minutes 30 seconds, 20 minutes 10 seconds and 60 minutes 42 seconds, and 5 minutes 20 seconds, 16 minutes 30 seconds, 20 minutes 10 seconds and 60 minutes 42 seconds are used as comparison points and searched in the first comparison data. For example, the time points found in the first comparison data are 8 minutes 20 seconds, 19 minutes 30 seconds, 20 minutes 10 seconds and 50 minutes 42 seconds. By comparison, it can be known that there is a common time point at 20 minutes 10 seconds, so the time point of 20 minutes 10 seconds is the first satisfying data.

[0105] S314, if the time searched in the first comparison data indicated in the search result data is different from the time indicated in the first standard data, feedback data is obtained; wherein the feedback data is used to remind the technician that the time does not meet the standard requirements.

[0106] Exemplarily, there may be another situation, for example, the time indicated in the first standard data is a time point of 5 minutes 20 seconds, 16 minutes 30 seconds, 20 minutes 10 seconds and 60 minutes 42 seconds, and 5 minutes 20 seconds, 16 minutes 30 seconds, 20 minutes 10 seconds and 60 minutes 42 seconds are used as comparison content and searched in the first comparison data. For example, the time points found in the first comparison data are 8 minutes 20 seconds, 19 minutes 30 seconds, 40 minutes 10 seconds and 50 minutes 42 seconds. Through comparison, it can be known that the time indicated in the first standard data and the time points found in the first comparison data have no common time points, and no identical time points are obtained. Therefore, feedback data is obtained based on "no identical time points".

[0107] S315, acquiring second standard data and second comparison data; wherein the second standard data is used to indicate the peaks of certain specific chemical components in the standard comparison data, and the second comparison data is used to indicate the peaks of certain specific chemical components in the sample data.

[0108] It can be understood that the peak of a specific chemical component refers to the graph of the signal changing over time generated on the detector due to the different movement speeds of the chemical components in the Platycodon grandiflorum slices in the chromatographic column due to the difference in the distribution coefficients between the stationary phase and the mobile phase in the analysis of the Platycodon grandiflorum slices.

[0109] Exemplarily, the second standard data is obtained by analyzing and processing certain compounds in the chromatographic products in the standard control data; wherein the analysis technology may be the use of gas chromatography, liquid chromatography or mass spectrometry, etc. When performing the analysis, a standard sample of known concentration may be prepared, and the standard sample should contain a known amount of the target analyte. By recording the chromatogram and checking the peak areas of different chemical components displayed in the chromatogram, the peak areas of these different chemical components are used as the second standard data. In addition, the second comparison data is the same as it, except that one is to analyze the standard control data and the other is to analyze the sample data, which will not be described in detail here.

[0110] S316, identifying key standard characteristic peaks from the peaks indicated by the second standard data, obtaining key standard peak shapes based on the standard characteristic peaks, and then identifying key comparison characteristic peaks from the peaks indicated by the second comparison data, obtaining key comparison peak shapes based on the comparison characteristic peaks.

[0111] It can be understood that the key standard peak shape is the one with the largest weight or the one with the greatest impact on the test result among multiple standard characteristic peaks;

[0112] Exemplarily, a key standard peak shape can be selected from the standard characteristic peaks; a comparison method can be used, for example, 10 standard peak shapes can be identified based on the standard characteristic peaks, and then these 10 standard peak shapes are processed by 10 into 5 to obtain 5 better standard peak shapes, and then these 5 standard peak shapes are selected to obtain 1 standard peak shape in the manner of 5 into 3 and 3 into 1, and this one is the key standard peak shape. In addition, a key comparison characteristic peak is identified from the peak indicated by the second comparison data, and a key comparison peak shape is obtained based on the comparison characteristic peak. The selection method is the same and will not be repeated here.

[0113] S317, perform peak shape superposition comparison on the key comparison peak shape obtained from the comparison characteristic peak and the key standard peak shape obtained from the standard characteristic peak. If the key comparison peak shape is the same as the key standard peak shape, obtain the second satisfying data, wherein the second satisfying data is used to indicate that the comparison peak shape meets the requirements.

[0114] Exemplarily, the second satisfying data can be obtained by comparing the peak shapes of the key standard peak shape of the second standard data and the key comparison peak shape of the second comparison data obtained above (step S316); for example, the overlap comparison can be performed by peak matching analysis through computer software; the peak matching analysis can be performed by importing the peak shapes of the key standard peak shape of the second standard data and the key comparison peak shape of the second comparison data into the peak matching software, automatically aligning the two peak shapes, adjusting the peak positions, widths and heights, and performing matching calculations; wherein, during the alignment process, the similarity between the two peak shapes can be calculated, and can be quantified using correlation coefficients, root mean square deviations or other statistics.

[0115] Furthermore, if the key comparison peak shape is the same as the key standard peak shape, a high correlation coefficient or a low RMSD value will be output, indicating that the two peak shapes are highly similar, to generate second satisfying data; the second satisfying data may be a statistical result and a graphical representation including peak shape matching, showing the overlap of the two peak shapes.

[0116] S318, if none of them are the same, then problem data is obtained; wherein the problem data is used to remind the technician that the peak shape does not meet the standard requirements.

[0117] Exemplarily, if the key comparison peak shape is different from the key standard peak shape, a value of 0 will be output, indicating that the two peak shapes are not similar in height, to generate problem data; the problem data may include statistical results and graphical representations of peak shape matching, showing the overlap of the two peak shapes, and the locations where the peak shapes are different.

[0118] S319, determining property data according to the first satisfying data and the second satisfying data.

[0119] Exemplarily, in the process of determining the property data, the first satisfying data and the second satisfying data are combined to obtain the property data; the time that meets the standard requirements indicated in the first satisfying data and the comparative peak shape that meets the requirements indicated in the second satisfying data can be combined to determine the property data; the combination can be to summarize the first satisfying data and the second satisfying data.

[0120] This setting makes it easier to troubleshoot and locate problems when they occur, thereby reducing time waste, improving equipment operating efficiency, and providing detailed data support for subsequent maintenance and upgrades.

[0121] S320, quantitatively analyzing the sample data according to the standard control data to obtain numerical data; wherein the numerical data is used to indicate the difference value of the component content between the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data and the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data.

[0122] It can be understood that quantitative analysis is the ability to analyze the specific content of various components in a sample. Through quantitative analysis, the chemical composition of the sample can be understood in detail.

[0123] Exemplarily, with reference to the standard control data, the sample data is quantitatively analyzed, and numerical data is obtained according to the analysis results; the standard control data includes the standard concentration of various known components and the corresponding detection signal value, such as chromatographic peak area or peak height. The quantitative analysis of the sample data can be to first perform baseline correction and peak alignment on the sample data, and then compare the sample data with the standard control data to determine the concentration of each component in the sample. In addition, the calculation of the difference value of the component content can be to compare the fingerprint of the sample data with the fingerprint of the standard control data. By comparing the difference in peak area or peak height between the two, it is possible to quantitatively evaluate whether the content of each component in the sample is consistent with the standard, and obtain numerical data.

[0124] In one possible implementation, see Figure 8 , S320, quantitatively analyze the sample data according to the standard control data to obtain numerical data, including:

[0125] S321, acquiring standard reference data based on the standard control data; wherein the standard reference data includes standard peak height data and standard concentration data.

[0126] For example, standard reference data can be obtained by establishing a data repository; wherein the data repository can have two storage sub-repositories, the two storage sub-repositories correspond to each other, one sub-repository is used to store standard peak height data, and the other sub-repository is used to store standard concentration data; wherein the standard peak height data and standard concentration data can be obtained through online retrieval, can be obtained through experiments, or can be obtained through other enterprises uploaded or shared by the company.

[0127] S322, based on the sample data, obtain the sample peak height, then use the sample concentration as the vertical coordinate and the sample peak height as the horizontal coordinate, and calculate based on the sample peak height and the standard curve formula to determine the sample concentration data; wherein the sample concentration data is used to indicate the concentration value of the sample solution.

[0128] Exemplarily, the wind height in the sample can be obtained by obtaining it from historical data records or from the Internet; the Internet can be obtained through a network search. A standard curve is drawn with the concentration of the standard solution as the ordinate and the peak height as the abscissa. A standard curve can present a linear relationship and can be described by using a linear equation, such as y=mx+b, where y represents the concentration, x represents the peak height, m ​​is the slope, and b is the intercept; the peak height of the sample can be substituted into the linear equation of the standard curve to calculate the concentration of the sample. During the calculation process, it is usually necessary to perform quality control on the standard curve, for example, by calculating the correlation coefficient (R 2 ) to evaluate the goodness of fit of the curve. The closer the correlation coefficient is to 1, the stronger the linear relationship between peak height and concentration is, and the more reliable the standard curve is, and the sample concentration data can be determined.

[0129] S323, compare the standard peak height with the sample peak height to see if they are the same, and compare the standard concentration with the sample concentration to see if they are the same. If the standard peak height is the same as the sample peak height, and the standard concentration is the same as the sample concentration, and the component content difference value is zero, then numerical data is obtained.

[0130] It can be understood that the difference value of the component content is zero, which can be the standard concentration of 1.2 and the sample concentration of 1.4, which proves that the concentrations are different. The difference value of the component content is 0.2, and 0.2 is the numerical data; for example, the comparison method can be to draw a standard curve through the relationship between the peak height or peak area and the known concentration, determine the concentration of the corresponding component in the standard sample from the standard curve, analyze the unknown sample to obtain the sample curve, and observe the concentration of the target component in the sample obtained from the sample curve, and then compare the concentration of the corresponding component in the standard sample with the concentration of the target component in the sample to determine whether the concentrations are the same and the difference value of the component content, and then obtain numerical data.

[0131] S324, if one of the items is different, difference data is obtained; wherein the difference data is used to reflect that the analysis result of the sample quantitative analysis does not meet the quality standard.

[0132] Exemplarily, after comparing the concentration of the corresponding component obtained by drawing the standard curve and the concentration of the corresponding component obtained from the sample curve, the concentrations are different, and the component content difference value is obtained based on the difference in concentration, thereby obtaining numerical data.

[0133] This setup can more accurately assess the content of the target component in the sample, thus providing a reliable basis for quality control. In addition, this method can effectively monitor the changes in components during the production process to ensure the consistency and stability of the product.

[0134] S330, determining sample detection data according to the property data and the numerical data.

[0135] Exemplarily, after analyzing the property data and the numerical data, the sample detection data is determined. According to the properties of the sample and the parameters to be detected, there are many analytical methods to be selected. For example, for organic samples, gas chromatography, high performance liquid chromatography or mass spectrometry can be used. For inorganic samples, atomic absorption spectrometry or inductively coupled plasma mass spectrometry can be used. In addition, before detecting the sample, a blank test is performed to determine the background interference that may be introduced during the experiment. The result of the blank test will be used to correct the sample detection data.

[0136] S400, evaluating the sample detection data to obtain sample evaluation data; wherein the sample evaluation data is used to reflect the quality difference between the fingerprint spectrum of Platycodon grandiflorum tablets indicated by the standard control data and the fingerprint spectrum of Platycodon grandiflorum tablets indicated by the sample data. Fig.11 and Fig.12 ; Fig.11 The fingerprints of 15 batches of samples and the generated control spectra are shown. Fig.11 It refers to the fingerprint detection of 15 batches of Platycodon grandiflorum tablets samples to obtain their respective chromatograms. Fig.12 The figure shows the matching results of 15 batches of samples. Fig.12 It refers to the fingerprint detection of 15 batches of Platycodon grandiflorum slice samples, and the comparison and analysis of the obtained spectra with the pre-established standard fingerprint spectra or control spectra.

[0137] It can be understood that the quality difference between the fingerprints of the spatholobiaceae is that the same analytical method is used to detect each sample to ensure the consistency of the experimental conditions. By analyzing the chromatograms obtained, the differences between the peak shapes, number of peaks, peak areas and other characteristics of each sample can be observed. The fingerprint data of multiple samples are processed by the analytical method to obtain the main factors affecting the quality differences of the samples. Multivariate statistical analysis methods such as principal component analysis and cluster analysis can be used. Exemplarily, after the sample detection data is collected, the sample detection data is quality assessed to obtain the sample evaluation data. Among them, the evaluation method can be carried out by a comparative method, or by a data analysis method; the data analysis method can be regression analysis, descriptive statistical analysis or multivariate analysis, etc.

[0138] Such a setting will help to simplify complex testing processes and methods, reveal the intrinsic connections and differences between samples, and provide a scientific basis for optimizing production processes and improving product quality. It will not only improve evaluation efficiency, but also reduce human errors, ensure the objectivity and accuracy of evaluation results, and not only help to ensure the stability and consistency of product quality, but also serve as an important basis for identifying authenticity, and can comprehensively and completely reflect the quality and use effect of Platycodon grandiflorum tablets.

[0139] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0140] Corresponding to the Platycodon grandiflorum slice fingerprint spectrum detection method described in the above embodiment, the embodiment of the present application also provides a Platycodon grandiflorum slice fingerprint spectrum detection system, and each unit of the system can implement each step of the Platycodon grandiflorum slice fingerprint spectrum detection method. Fig. 9 A structural block diagram of the Platycodon grandiflorum flower slice fingerprint detection system provided in an embodiment of the present application is shown. For the sake of ease of explanation, only the parts related to the embodiment of the present application are shown.

[0141] Reference Fig. 9 The fingerprint spectrum detection system of Platycodon grandiflorum winter flower tablets includes:

[0142] The first acquisition unit is used to acquire standard control data; wherein the standard control data is used to indicate the fingerprint spectrum of Platycodon grandiflorum slices that meets the standard requirements in history;

[0143] The second acquisition unit is used to acquire sample data; wherein the sample data is used to indicate the fingerprint spectrum of Platycodon grandiflorum winter flower slices that is not currently tested;

[0144] An analysis unit is used to detect and analyze the sample data according to the standard control data to obtain sample detection data; wherein the sample detection data is used to reflect the detection status of the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data;

[0145] The result unit is used to evaluate the sample detection data to obtain sample evaluation data; wherein the sample evaluation data is used to reflect the quality difference between the fingerprint spectrum of Platycodon grandiflorum tablets indicated by the standard control data and the fingerprint spectrum of Platycodon grandiflorum tablets indicated by the sample data.

[0146] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0147] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0148] The present application also provides a device for detecting fingerprint spectrum of Platycodon grandiflorum flower slices. Fig.10 This is a schematic diagram of the structure of a device for detecting the fingerprint spectrum of Platycodon grandiflorum flower slices provided in one embodiment of the present application. Fig.10 As shown, the control device 6 of this embodiment includes: at least one processor 60 ( Fig.10 Only one is shown), at least one memory 61 ( Fig.10 Only one is shown) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the control device 6 implements the steps in any of the above-mentioned embodiments of the method for detecting the fingerprint spectrum of Platycodon grandiflorum winter flower pieces, or implements the functions of each module / unit in the above-mentioned system embodiments.

[0149] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the control device 6.

[0150] The fingerprint spectrum detection device of Platycodon grandiflorum slices includes a liquid chromatograph and a control device 6 which can include a computing device such as a desktop computer, a notebook, a palm computer, etc. The control device can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Fig.10It is only an example of the control device 6 and does not constitute a limitation on the control device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0151] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0152] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the control device 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0153] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0154] An embodiment of the present application provides a computer program product. When the computer program product is run on a Platycodon grandiflorum leaf fingerprint spectrum detection device, the Platycodon grandiflorum leaf fingerprint spectrum detection device implements the steps in any of the above-mentioned method embodiments.

[0155] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the fingerprint spectrum detection device of Platycodon grandiflorum winter flower piece, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, U disk, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0156] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0157] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0158] In the embodiments provided in the present application, it should be understood that the disclosed Platycodon grandiflorum slice fingerprint spectrum detection system, equipment and method can be implemented in other ways. For example, the Platycodon grandiflorum slice fingerprint spectrum detection system and equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0159] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0160] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for detecting the fingerprint spectrum of Platycodon grandiflorum slices, characterized in that: include: Obtain a reference solution; wherein the reference solution includes a control medicinal material solution and a reference substance solution, wherein the control medicinal material solution is a medicinal material solution obtained by extracting a coltsfoot flower control medicinal material, and the reference substance solution is a solution obtained by extracting a liquiritin reference substance, an ammonium glycyrrhizinate reference substance, and a polygala tenuifolia saponin reference substance; Obtaining a test solution; wherein the test solution is a solution prepared from the Platycodon grandiflorum slices to be tested for testing and analysis; Take 10 μl of the reference solution, the reference medicinal material solution and the test solution respectively; Each solution injected into the liquid chromatograph is made to meet the chromatographic conditions of the high performance liquid chromatography, and then the measurement is carried out to obtain the fingerprint spectrum of Platycodon grandiflorum tablets.

2. The method for detecting the fingerprint spectrum of Platycodon grandiflorum slices according to claim 1, characterized in that: The step of obtaining a reference solution comprises: 0.2 g of coltsfoot flower control medicinal material was taken and placed in a stoppered conical flask, and then 25 ml of 70% pure methanol was added and ultrasonic treatment was performed for 60 minutes to obtain a mixed solution; After the ultrasonic treatment is completed, the mixed solution is taken out from the stoppered conical flask, and a pre-treatment operation is performed on the taken out mixed solution; wherein the pre-treatment operation includes a cooling operation, a shaking operation and a centrifugation operation; After the pretreatment operation is completed, taking the supernatant in the mixed solution as the control medicinal material solution in the reference solution; Take preset weights of liquiritin reference substance, ammonium glycyrrhizinate reference substance and Polygala tenuifolia saponin reference substance; then use 70% purity methanol to prepare a fusion solution containing 8 μg of the liquiritin reference substance, 80 μg of the ammonium glycyrrhizinate reference substance and 30 μg of the Polygala tenuifolia saponin reference substance per 1 ml, and use the fusion solution as the reference substance solution in the reference solution.

3. The method for detecting the fingerprint spectrum of Platycodon grandiflorum slices according to claim 1, characterized in that: The step of obtaining a test solution comprises: Take 20 pieces of Platycodon grandiflorum tablets, remove the coating and grind them into powder, weigh them to 2g, and place them in a stoppered conical bottle; Then, 25 ml of methanol with a purity of 70% was added, the stoppered conical flask was sealed, and the weight was determined, and then ultrasonic treatment was performed for 60 minutes to obtain a blended solution; wherein the power of the ultrasonic treatment was 480 W and the frequency was 43 kHz; After the ultrasonic treatment is completed, the blended solution is cooled, weighed, and the missing weight is supplemented with methanol with a purity of 70%, and then the blended solution is subjected to a sample treatment operation; wherein the sample treatment operation includes a shaking operation and a centrifugation operation; After the sample processing operation is completed, the supernatant in the blended solution is taken as the test solution.

4. The method for detecting the fingerprint spectrum of Platycodon grandiflorum slices according to claim 1, characterized in that: The solution injected into the liquid chromatograph is made to meet the chromatographic conditions of the high performance liquid chromatography, and then the measurement is performed to obtain the fingerprint spectrum of Platycodon grandiflorum tablets, including: Octadecylsilane bonded silica gel is used as a filler; acetonitrile is used as a mobile phase A, and a 0.049% phosphoric acid solution is used as a mobile phase B for gradient elution; the detection wavelength is 230 nm; the chromatographic peak of ammonium glycyrrhizinate is used as a benchmark, and the theoretical plate number calculated by the calculation formula of the theoretical plate number reaches at least 5000.

5. The method for detecting the fingerprint spectrum of Platycodon grandiflorum slices as claimed in claim 4, characterized in that: The gradient elution comprises: When the time period is 0 to 30 minutes: the volume percentage of mobile phase A increases from 18% to 35%; the volume percentage of mobile phase B decreases from 85% to 65%; When the time period is 30 to 45 minutes: the volume percentage of mobile phase A increases from 35% to 45%; the volume percentage of mobile phase B decreases from 65% to 55%; When the time period is 45 to 50 minutes: the volume percentage of mobile phase A increases from 45% to 70%; the volume percentage of mobile phase B decreases from 55% to 30%; When the time period is 50 to 65 minutes: the volume percentage of mobile phase A increases from 70% to 75%; the volume percentage of mobile phase B decreases from 30% to 25%; When the time period is 65 to 73 minutes: the volume percentage of mobile phase A is 18%; the volume percentage of mobile phase B is 82%.

6. The method for detecting the fingerprint spectrum of Platycodon grandiflorum flower slices according to claim 1, characterized in that: The detector of the HPLC was a UV detector, and during the detection process, the flow rate of the mobile phase was set to 1.0 ml per minute and the column temperature was 30°.

7. The method for detecting the fingerprint spectrum of Platycodon grandiflorum slices according to claim 1, characterized in that: The method further comprises: Acquire standard control data; wherein the standard control data is used to indicate the fingerprint spectrum of Platycodon grandiflorum slices that meets the standard requirements in history; Acquire sample data; wherein the sample data is used to indicate the fingerprint spectrum of Platycodon grandiflorum slices that is not currently tested; According to the standard control data, the sample data is tested and analyzed to obtain sample test data; wherein the sample test data is used to reflect the detection status of the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data; The sample detection data is evaluated to obtain sample evaluation data; wherein the sample evaluation data is used to reflect the quality difference between the fingerprint spectrum of Platycodon grandiflorum slices indicated by the standard control data and the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data.

8. The method for detecting the fingerprint spectrum of Platycodon grandiflorum flower pieces according to claim 7, characterized in that: The step of testing and analyzing the sample data according to the standard control data to obtain the sample test data includes: According to the standard control data, the sample data is qualitatively analyzed to obtain property data; wherein the property data is used to reflect the time and peak conditions between the Platycodon grandiflorum tablets fingerprint spectrum of the standard control data and the Platycodon grandiflorum tablets fingerprint spectrum indicated by the sample data; According to the standard control data, the sample data is quantitatively analyzed to obtain numerical data; wherein the numerical data is used to indicate the difference value of the component content between the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data and the fingerprint spectrum of Platycodon grandiflorum slices indicated by the sample data; The sample detection data is determined according to the property data and the numerical data.

9. The method for detecting the fingerprint spectrum of Platycodon grandiflorum flower pieces according to claim 8, characterized in that: The method of performing a qualitative analysis on the sample data according to the standard control data to obtain property data includes: Acquire first standard data and first comparative data; wherein the first standard data is used to reflect the time when certain compounds in the chromatographic product in the standard control data are detected after being separated in the chromatographic column, and the first comparative data is used to reflect the time when certain compounds in the chromatographic product in the sample data are detected after being separated in the chromatographic column; By comparing the time indicated in the first standard data, searching the first comparison data for a time that is the same as the time indicated in the first standard data, and obtaining search result data; wherein the search result data is used to indicate whether the time searched in the first comparison data is the same as the time indicated in the first standard data; If the time searched in the first comparison data indicated in the search result data is the same as the time indicated in the first standard data, first satisfying data is obtained; the first satisfying data is used to indicate that the time indicated by the first comparison data meets the standard requirements; If the time searched in the first comparison data indicated in the search result data is different from the time indicated in the first standard data, feedback data is obtained; wherein the feedback data is used to remind the technician that the time does not meet the standard requirements; Acquire second standard data and second comparison data; wherein the second standard data is used to indicate the peaks of certain specific chemical components in the standard comparison data, and the second comparison data is used to indicate the peaks of certain specific chemical components in the sample data; Identifying key standard characteristic peaks from the peaks indicated by the second standard data, obtaining key standard peak shapes based on the standard characteristic peaks, and then identifying key comparative characteristic peaks from the peaks indicated by the second comparative data, obtaining key comparative peak shapes based on the comparative characteristic peaks; Comparing the key comparison peak shape obtained from the comparison characteristic peak with the key standard peak shape obtained from the standard characteristic peak, if the key comparison peak shape is the same as the key standard peak shape, obtaining second satisfaction data, wherein the second satisfaction data is used to indicate that the comparison peak shape meets the requirements; If none of them are the same, problem data is obtained; wherein the problem data is used to remind the technician that the peak shape does not meet the standard requirements; The property data is determined according to the first satisfaction data and the second satisfaction data.

10. The method for detecting the fingerprint spectrum of Platycodon grandiflorum flower pieces according to claim 8, characterized in that: The step of performing quantitative analysis on the sample data according to the standard control data to obtain numerical data includes: Acquiring standard reference data based on the standard control data; wherein the standard reference data includes standard peak height data and standard concentration data; Based on the sample data, the sample peak height is obtained, and then the sample concentration is used as the ordinate and the sample peak height is used as the abscissa, and the sample peak height is calculated by combining the standard curve formula to determine the sample concentration data; wherein the sample concentration data is used to indicate the concentration value of the sample solution; Compare the standard peak height with the sample peak height to see if they are the same, and compare the standard concentration with the sample concentration to see if they are the same; if the standard peak height is the same as the sample peak height, and the standard concentration is the same as the sample concentration, and the component content difference value is zero, then the numerical data is obtained; If one of the items is different, difference data is obtained; wherein the difference data is used to reflect that the analysis result of the sample quantitative analysis does not meet the quality standard.

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