CN115728430A

CN115728430A - Fingerprint construction method and identification method of fructus psoraleae and fructus psoraleae salt traditional Chinese medicine formula granules

Info

Publication number: CN115728430A
Application number: CN202211438964.5A
Authority: CN
Inventors: 梁丽金; 覃柳莹; 张正; 崔婷; 陈巧华; 黄森; 杨赞; 刘燎原; 孙冬梅
Original assignee: Guangdong Yifang Pharmaceutical Co Ltd
Current assignee: Guangdong Yifang Pharmaceutical Co Ltd
Priority date: 2022-11-17
Filing date: 2022-11-17
Publication date: 2023-03-03

Abstract

The application relates to the technical field of traditional Chinese medicine detection and analytical chemistry, in particular to a fingerprint construction method and an identification method of fructus psoraleae and fructus psoraleae traditional Chinese medicine formula granules. The fingerprint spectrum construction method comprises the step of adopting ultra-high performance liquid chromatography for analysis, wherein the chromatographic conditions are that methanol is used as a mobile phase A, and a formic acid aqueous solution with the volume concentration of 0.08-0.12% is used as a mobile phase B. The fingerprint spectrum of the application has characteristics, reproducibility and operability, and can provide scientific basis for quality evaluation and control of the traditional Chinese medicine formula granules. The application also relates to an identification method of the traditional Chinese medicine formula granules based on the fingerprint spectrum, which can effectively identify the traditional Chinese medicine formula granules of the fructus psoraleae and the fructus psoraleae.

Description

Fingerprint construction method and identification method of fructus psoraleae and fructus psoraleae salted traditional Chinese medicine formula granules

Technical Field

The application relates to the technical field of traditional Chinese medicine detection and analytical chemistry, in particular to a fingerprint construction method and an identification method of fructus psoraleae and fructus psoraleae traditional Chinese medicine formula granules.

Background

The traditional Chinese medicine formula particle is a granule prepared by taking single traditional Chinese medicine (decoction pieces) as raw materials through the processes of extraction, concentration, drying, granulation and the like, and is difficult to accurately identify and distinguish from appearance characters compared with the decoction pieces. In order to ensure the accuracy and safety of clinical medication, it is necessary to establish corresponding detection methods for different formula granules.

The fructus Psoraleae is dried mature fruit of Psoralea corylifolia L of Leguminosae, has black, black brown or grey brown surface, has fine reticular wrinkles, and has effects of warming kidney, tonifying yang, promoting inspiration, relieving asthma, warming spleen, and relieving diarrhea. The crude psoralea fruit has certain toxic and side effects, and is generally used after being processed, the clinically common processed product is salt psoralea fruit decoction pieces, the properties, the processing method and the content of active ingredients of the salt psoralea fruit decoction pieces are clearly specified in pharmacopoeia, but reports about formula granules of the salt psoralea fruit decoction pieces are less.

Some methods relate to an infrared spectrum identification method of fructus psoraleae and fructus psoraleae formula granules, and the method has certain limitations and is not well popularized and applied.

Disclosure of Invention

In view of this, the present application proposes a method for constructing a fingerprint of a granule prepared from fructus psoraleae and fructus psoraleae, which can objectively, scientifically and comprehensively reflect the inherent chemical characteristic information of a granule prepared from a traditional Chinese medicine formula as the basis for quality detection.

Specifically, the fingerprint construction method of the traditional Chinese medicine formula granule comprises the following steps:

precisely weighing the traditional Chinese medicine formula particles, and extracting with an extraction solvent to obtain a test solution;

accurately weighing standard substances of osteoprolidin, isopsoralen, psoralen, isopsoralen and bakuchiol, and dissolving with solvent to obtain reference substance solution;

precisely absorbing the test solution and the reference solution, respectively carrying out ultra high performance liquid chromatography analysis to obtain a test fingerprint and a reference chromatogram, and obtaining a fingerprint of the traditional Chinese medicine formula particles according to the test fingerprint and the reference chromatogram;

wherein the performing ultra high performance liquid chromatography comprises eluting according to the following mobile phase conditions: methanol is used as a mobile phase A, a formic acid aqueous solution with the volume concentration of 0.08% -0.12% is used as a mobile phase B, and the sum of the volume percentages of the mobile phase A and the mobile phase B is 100%.

In some embodiments of the present application, in the fingerprint constructing method, the elution procedure includes:

the volume percentage of the mobile phase A is increased from 18 percent to 30 percent within 0-9 min;

9-18 min, wherein the volume percentage of the mobile phase A is increased from 30% to 46%;

the volume percentage of the mobile phase A is increased from 46% to 57% within 18 min-19 min;

19 min-34 min, wherein the volume percentage of the mobile phase A is increased from 57% to 77%;

34 min-42 min, wherein the volume percentage of the mobile phase A is increased from 77% to 90%;

42 min-42.1 min, and the volume percentage of the mobile phase A is reduced from 90% to 18%;

42.1-47 min, and keeping the volume percentage of the mobile phase A at 18%.

In some embodiments of the present application, in the fingerprint construction method, the condition of the ultra high performance liquid chromatography analysis includes one or several of the following features:

(1) The chromatographic column is an octadecylsilane chemically bonded silica chromatographic column;

(2) The type of the chromatographic column is ACQUITY UPLC BEH;

(3) The column temperature is 38-42 ℃;

(4) The detection wavelength is 240 nm-250 nm;

(5) The flow rate of the mobile phase is 0.28 mL/min-0.32 mL/min.

In some embodiments of the present application, in the fingerprint spectrum constructing method, the extraction solvent is methanol, and the extraction method is ultrasound.

In some embodiments of the present application, in the fingerprint construction method, the psoralea corylifolia traditional Chinese medicine formula particle is prepared by the following steps:

taking fructus psoraleae decoction pieces, adding 6-16 times of water by mass of the fructus psoraleae decoction pieces, and heating and decocting for 0.5-2.5 hours; continuously adding water with the mass part of 5-12 times of that of the fructus psoraleae decoction pieces, heating and decocting for 0.5-2.0 hours, filtering, concentrating the obtained filtrate under reduced pressure to obtain clear paste with the relative density of 1.02-1.10, filtering, drying and granulating.

In some embodiments of the present application, in the fingerprint spectrum constructing method, the fructus psoraleae traditional Chinese medicine formula particle is prepared by the following steps:

taking salt fructus psoraleae decoction pieces, adding 6-16 times of water by mass of the salt fructus psoraleae decoction pieces, and heating and decocting for 0.5-2.5 hours; continuously adding water with the mass part of 5-12 times of the salt fructus psoraleae decoction pieces, heating and decocting for 0.5-2.0 hours, filtering, concentrating the obtained filtrate under reduced pressure to obtain clear paste with the relative density of 1.02-1.10, filtering, drying and granulating.

The application also relates to an identification method of the traditional Chinese medicine formula granules, which comprises the following steps:

the fingerprint spectrum construction method according to any one of claims 1 to 3, wherein the fingerprint spectrum of the Psoralea corylifolia traditional Chinese medicine formula particle and the fingerprint spectrum of the Psoralea corylifolia traditional Chinese medicine formula particle are obtained;

comparing the fingerprint of the fructus psoraleae traditional Chinese medicine formula particles with the fingerprint of the fructus psoraleae traditional Chinese medicine formula particles, calibrating 22 common peaks in total, performing orthogonal partial least squares discriminant analysis by taking the ratio of the peak area of each peak to the sampling amount as data, and determining 9 marked peaks according to the analysis result;

performing discriminant analysis by adopting SPSS20 software based on the 9 marker peaks to establish a discriminant equation; wherein the retention times of the 9 marker peaks are as follows: peak 9:11.88 ± 10%, peak 15:17.54 ± 10%, peak 3:6.46 ± 10%, peak 12:15.62 ± 10%, peak 5:7.89 ± 10%, peak 14:17.03 ± 10%, peak 11:14.79 ± 10%, peak 13:16.33 ± 10% and peak 4:7.01 +/-10%;

acquiring a mass center value I of the fructus psoraleae traditional Chinese medicine formula particles and a mass center value II of the fructus psoraleae traditional Chinese medicine formula particles;

extracting the traditional Chinese medicine formula particles to be detected by using an extraction solvent to prepare a solution of a product to be detected;

performing ultra-high performance liquid chromatography determination on the solution to be measured to obtain peak areas of the 9 marker peaks, substituting the ratio of the peak areas of the 9 marker peaks to the sampling amount into the discrimination equation, and calculating a discrimination score;

if the discrimination score is closer to the mass center value I, the fructus psoraleae traditional Chinese medicine formula particle is discriminated, and if the discrimination score is closer to the mass center value II, the fructus psoraleae traditional Chinese medicine formula particle is discriminated;

wherein the performing ultra high performance liquid chromatography comprises eluting according to the following mobile phase conditions: methanol is used as a mobile phase A, formic acid aqueous solution with volume concentration of 0.08-0.12% is used as a mobile phase B, and the sum of the volume percentages of the mobile phase A and the mobile phase B is 100%.

In some embodiments of the present application, in the identification method, the discriminant equation is: y = -0.008 × peak 3-1.488 × peak 4+0.056 × peak 5+3.381 × peak 9-3.863 × peak 11-0.281 × peak 12+1.220 × peak 13+0.449 × peak 14-1.367 × peak 15-0.144.

In some embodiments of the present application, the elution procedure comprises:

42.1-47 min, and keeping the volume percentage of the mobile phase A at 18%.

In some embodiments of the present application, the condition of the hplc analysis comprises one or more of the following characteristics:

(2) The type of the chromatographic column is ACQUITY UPLC BEH;

(3) The column temperature is 38-42 ℃;

(4) The detection wavelength is 240 nm-250 nm;

(5) The flow rate of the mobile phase is 0.28mL/min to 0.32mL/min.

In some embodiments of the present application, the identification method is performed by using methanol as the extraction solvent and ultrasound as the extraction method.

According to the fingerprint spectrum construction method, the obtained fingerprint spectrum has characteristics, reproducibility and operability by adopting proper chromatographic conditions, more abundant characteristic peak information can be provided, so that the sample quality is reflected more comprehensively, the method is stable, the precision and the reproducibility are good, and a quick, sensitive, objective and accurate detection means is provided for the quality of the fructus psoraleae traditional Chinese medicine formula particles and the fructus psoraleae traditional Chinese medicine formula particles.

The method is constructed based on specific traditional Chinese medicine raw materials and interaction among chemical components in a preparation process, the retention time of each characteristic peak is fixed in a certain range, and differences are generated when the raw materials are changed (such as fake medicinal materials are used). Therefore, the quality of the traditional Chinese medicine formula granules can be well identified, and the function of identifying the authenticity can be played.

The application establishes 22 common peaks based on the constructed fingerprint (fingerprints of the fructus psoraleae and fructus psoraleae traditional Chinese medicine formula particles), can extract effective chemical information to a greater extent by combining a chemometrics method based on the construction of the characteristic spectrum, screens out the difference characteristic indexes, establishes a judgment function equation and carries out mode identification, so that the fructus psoraleae and fructus psoraleae traditional Chinese medicine formula particles can be effectively identified, and the defect that the inspection and identification cannot be carried out from microscopic and character identification characteristics is overcome.

Drawings

In order to more clearly illustrate the detailed description of the present application or the technical solutions in the prior art, the drawings used in the detailed description or the prior art description will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

FIG. 1 is a graph comparing the extraction results of the present application 1.2.1 under different concentrations of methanol;

FIG. 2 is a comparison graph of the chromatographic results under different detection wavelength conditions in the present application 1.3.1;

FIG. 3 is a comparison of chromatographic results for different column temperature conditions in the present application 1.3.2;

FIG. 4 is a comparison of chromatographic results at different flow rate conditions according to the present application 1.3.3;

FIG. 5 is a comparison of chromatographic results of different mobile phase conditions in the present application 1.3.4;

FIG. 6 is a comparison of chromatographic results of different gradient elution conditions in the present application 1.3.5;

FIG. 7 is a fingerprint of 19 batches of Psoralea corylifolia traditional Chinese medicine formula granules in example 1;

FIG. 8 is a fingerprint of 19 batches of SANBAIYAOCHI granule in example 1;

FIG. 9 is a chromatogram peak identification chart of the Psoralea corylifolia traditional Chinese medicine granule in example 1;

FIG. 10 is a score chart of the orthorhombic partial least squares discriminant analysis of the Psoralea corylifolia and Psoralea corylifolia Chinese medicinal formula granules in example 1;

FIG. 11 is a VIP value map obtained by the cross-sectional least squares discriminant analysis of the Psoralea corylifolia and Psoralea corylifolia Chinese medicinal formula granules in example 1.

Detailed Description

The present application is further illustrated below with reference to embodiments, examples and figures. It should be understood that these examples are for illustrative purposes only and are not intended to limit the scope of the present application. Furthermore, it should be understood that various changes or modifications can be made by those skilled in the art after reading the teaching of the present application, and these equivalents also fall within the scope of the claims appended to the present application.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

Term(s)

Unless otherwise indicated or contradicted, terms or phrases used herein have the following meanings:

the terms "preferably", "better", and the like are used herein only to describe better embodiments or examples, and it should be understood that the scope of the present application is not limited by these terms.

In the present application, "further", "still further", "specifically" and the like are used for descriptive purposes to indicate differences in content, but should not be construed as limiting the scope of the present application.

In the present application, the technical features described in the open manner include a closed technical solution including the listed features, and also include an open technical solution including the listed features.

In this application, where a range of values (i.e., a numerical range) is recited, unless otherwise stated, alternative distributions of values within the range are considered to be continuous, and include both the numerical endpoints of the range (i.e., the minimum and maximum values), and each numerical value between the numerical endpoints. Unless otherwise specified, when a numerical range refers to integers only within the numerical range, both endpoints of the numerical range are inclusive of the integers and each integer between the endpoints is inclusive of the integer. Further, when multiple range-describing features or characteristics are provided, the ranges may be combined. In other words, unless otherwise indicated, the ranges disclosed herein are to be understood to include any and all subranges subsumed therein.

The temperature parameter in the present application is not particularly limited, and may be a constant temperature treatment or a variation in a certain temperature range. It will be appreciated that the described thermostatic process allows the temperature to fluctuate within the accuracy of the instrument control. Allowing fluctuations in the range of, for example,. + -. 0.5 ℃,. + -. 0.4 ℃,. + -. 0.3 ℃,. + -. 0.2 ℃,. + -. 0.1 ℃.

In the present application, the weight may be in units of mass known in the chemical industry, such as μ g, mg, g, kg, etc.

In the present application, the size, particle diameter and diameter are not particularly limited, but generally mean values.

The application relates to a fingerprint construction method of a fructus psoraleae and fructus psoraleae salted traditional Chinese medicine formula granule. In the application, the fructus psoraleae or fructus psoraleae salt traditional Chinese medicine formula granules are prepared by water extraction, and specifically comprise the processes of pretreatment, water extraction, concentration, drying and granulation.

For example, a psoralea fruit traditional Chinese medicine formula particle can be prepared by the following steps: taking a fructus psoraleae medicinal material, selecting and removing impurities, crushing or crushing to obtain fructus psoraleae decoction pieces. Taking fructus psoraleae decoction pieces, adding water for decocting twice, adding water with the dosage of 6-16 times for the first time, and heating and decocting for 0.5-2.5 hours; adding water with 5-12 times of the feeding amount for the second time, heating and decocting for 0.5-2.0 hours, filtering the decoction, decompressing and concentrating the filtrate to obtain clear paste with the relative density of 1.02-1.10 (80 ℃), filtering, drying and granulating.

For example, the fructus psoraleae traditional Chinese medicine formula particle can be prepared by the following steps: parching fructus Psoraleae, crushing or crushing to obtain fructus Psoraleae decoction pieces. Taking salt fructus psoraleae decoction pieces, adding water for decocting twice, adding 6-16 times of water for the first time, and heating and decocting for 0.5-2.5 hours; adding water with 5-12 times of the feeding amount for the second time, heating and decocting for 0.5-2.0 hours, filtering the decoction, decompressing and concentrating the filtrate to obtain clear paste with the relative density of 1.02-1.10 (80 ℃), filtering, drying and granulating.

Compared with the traditional psoralea fruit or salt psoralea fruit preparation, the traditional Chinese medicine formula granule is based on a water extraction method, and the content of active ingredients such as psoralen, isopsoralen, bakuchiol and the like is higher.

Further, the fingerprint construction method of the fructus psoraleae or fructus psoraleae salted traditional Chinese medicine formula granules comprises the following steps:

precisely weighing the traditional Chinese medicine formula particles, and extracting with an extraction solvent to prepare a test solution;

precisely weighing standard substances of drynarioside, isobavachin, psoralen, isopsoralen and bakuchiol, and dissolving with solvent to obtain reference substance solution;

precisely absorbing a test solution and a reference solution, respectively carrying out ultra-high performance liquid chromatography to obtain a test sample fingerprint I and a reference chromatogram, and obtaining the fingerprint of the traditional Chinese medicine formula granule according to the test sample fingerprint and the reference chromatogram;

wherein, the ultra high performance liquid chromatography comprises elution according to the following mobile phase conditions: methanol is used as a mobile phase A, a formic acid aqueous solution with the volume concentration of 0.08% -0.12% is used as a mobile phase B, and the sum of the volume percentages of the mobile phase A and the mobile phase B is 100%.

In some embodiments, in the fingerprint construction method, the elution procedure comprises:

42.1-47 min, and keeping the volume percentage of the mobile phase A at 18%.

In some embodiments, the conditions of the ultra high performance liquid chromatography analysis in the fingerprint construction method comprise one or more of the following characteristics:

(2) The type of the chromatographic column is ACQUITY UPLC BEH;

(3) The column temperature is 38-42 ℃;

(4) The detection wavelength is 240 nm-250 nm;

(5) The flow rate of the mobile phase is 0.28mL/min to 0.32mL/min.

In some embodiments, in the fingerprint construction method, the extraction solvent is methanol, which has a good extraction effect on fat-soluble components, and can extract more chromatographic peaks and more comprehensively characterize the sample. Further, the extraction method is ultrasonic.

The application also relates to an identification method of the Chinese medicinal formula granules, which can identify the fructus psoraleae Chinese medicinal formula granules and the fructus psoraleae Chinese medicinal formula granules.

The traditional identification technology is based on a small number of characteristic peaks, and the fructus psoraleae with similar effective components are difficult to identify. The identification method has more characteristic peaks, adopts ultra-high performance liquid chromatography, respectively constructs fingerprint spectra under proper chromatographic conditions, has higher precision and accuracy, and simultaneously combines a chemometrics method to extract effective chemical information to a greater extent, screens out difference characteristic indexes to establish a judgment function equation, performs mode identification, and effectively distinguishes the traditional Chinese medicine formula particles of the fructus psoraleae and the fructus psoraleae.

In some embodiments, the method for identifying a traditional Chinese medicine formula comprises the following steps:

s100: establishing discriminant equation

The fingerprint of the fructus psoraleae traditional Chinese medicine formula particles is compared with the fingerprint of the fructus psoraleae traditional Chinese medicine formula particles to obtain a common peak, the ratio of the peak area of each peak to the sampling amount is used as data to perform orthogonal partial least squares discriminant analysis, and the mark peak serving as a difference characteristic index is determined according to the analysis result.

And adopting SPSS20 software to perform discriminant analysis on the mark peaks of the difference characteristic indexes of the samples of multiple batches for constructing the model by selecting a default independent variable screening method 'inputting independent variables together' in discriminant analysis, and establishing a discriminant equation. In the present application, the abbreviation OPLS-DA for orthogonal partial least squares discriminant analysis has the same meaning.

Optionally, the fingerprint of the fructus psoraleae traditional Chinese medicine formula particle and the fingerprint of the fructus psoraleae traditional Chinese medicine formula particle can be obtained according to the fingerprint construction method.

In some embodiments, the software performing the orthonormal partial least squares discriminant analysis is SIMCA13.0.

In some embodiments, 22 common peaks are obtained in total, 9 marker peaks are determined according to the analysis result, and discrimination analysis is performed on the 9 marker peaks of the difference characteristic index of a plurality of batches of samples for constructing a model by selecting a default independent variable screening method 'inputting independent variables together' in the discrimination analysis by using SPSS20 software, so as to establish a discrimination equation. The 9 marker peaks are characteristic peaks serving as difference characteristic indexes, the marker peak is judged according to a VIP value, VIP represents the contribution of each substance to distinguishing samples, and VIP & gt 1 can be regarded as an index with the most remarkable influence; peak 3 psoralen glycoside, peak 5 isopsoralen glycoside, peak 12 psoralen, peak 14 isopsoralen, and peak 22 bakuchiol in 22 common peaks are identified chromatogram peaks, and the retention time of the 22 common peaks is as follows: peak 1:2.73 +/-10%; peak 2:3.56 +/-10%; peak 3:6.46 +/-10%; peak 4:7.01 +/-10%; peak 5:7.89 +/-10%; peak 6:9.01 +/-10%; peak 7:9.55 +/-10%; peak 8:10.29 plus or minus 10 percent; peak 9:11.88 +/-10 percent; peak 10:12.58 +/-10%; peak 11:14.79 plus or minus 10 percent; peak 12:15.62 +/-10%; peak 13:16.33 plus or minus 10 percent; peak 14:17.03 +/-10%; peak 15:17.54 plus or minus 10 percent; peak 16:28.26 +/-10%; peak 17:28.99 plus or minus 10 percent; peak 18:32.03 +/-10%; peak 19:32.48 +/-10%; peak 20:32.90 plus or minus 10 percent; peak 21:36.57 +/-10%; peak 22:39.81 +/-10%.

Further, the VIP >1 variability characteristic index is peak 9, peak 15, peak 3, peak 12, peak 5, peak 14, peak 11, peak 13, peak 4.

In some embodiments, the discriminant equation is Y = -0.008 × peak 3-1.488 × peak 4+0.056 × peak 5+3.381 × peak 9-3.863 × peak 11-0.281 × peak 12+1.220 × peak 13.449 × peak 14-1.367 × peak 15-0.144. Wherein, the peak 3 is the ratio of the peak area of the peak 3 to the sampling amount, and the same applies to the rest, for example, the peak 5 is the ratio of the peak area of the peak 5 to the sampling amount.

S200: obtaining the mass center value of the Chinese medicinal granule

The acquisition mode comprises the following steps: introducing data of ratio of VIP >1 indexes (peak 9, peak 15, peak 3, peak 12, peak 5, peak 14, peak 11, peak 13 and peak 4) of multiple batches (for example, not less than 15 batches) of fructus Psoraleae formula granules and fructus Psoraleae formula granules into SPSS20 software, selecting default independent variable screening method in discriminant analysis, inputting independent variables together, and performing discriminant analysis.

In some embodiments, the fructus Psoraleae Chinese medicinal granule has a centroid value (centroid value I) of-3.992, and the fructus Psoraleae Chinese medicinal granule has a centroid value (centroid value II) of 3.992.

S300: identification of test article

Extracting the traditional Chinese medicine formula granules (to-be-detected product) with an extraction solvent to prepare a to-be-detected product solution;

carrying out ultra-high performance liquid chromatography determination on the solution of the sample to be detected, selecting the ratio of the peak area of the mark peak to the sampling amount, substituting the ratio into a discriminant equation, and calculating a discriminant score;

judging that the obtained value is closer to the mass center value I, judging the obtained value is the fructus psoraleae traditional Chinese medicine formula particle, and judging that the obtained value is closer to the mass center value II, judging the obtained value is the fructus psoraleae traditional Chinese medicine formula particle;

wherein performing ultra high performance liquid chromatography comprises eluting according to the following mobile phase conditions: methanol is taken as a mobile phase A, formic acid aqueous solution with volume concentration of 0.08% -0.12% is taken as a mobile phase B, and the sum of the volume percentages of the mobile phase A and the mobile phase B is 100%.

In some embodiments, in the method for identifying a chinese medicinal formulation, the eluting procedure comprises:

42.1-47 min, and keeping the volume percentage of the mobile phase A at 18%.

In some embodiments, the condition of the ultra high performance liquid chromatography analysis in the method for identifying a traditional Chinese medicine formula granule comprises one or more of the following characteristics:

(2) The type of the chromatographic column is ACQUITY UPLC BEH;

(3) The column temperature is 38-42 ℃;

(4) The detection wavelength is 240 nm-250 nm;

(5) The flow rate of the mobile phase is 0.28 mL/min-0.32 mL/min.

In some embodiments, the identification method of the herbal formulation is performed by extracting with methanol and ultrasound.

The chromatographic condition in the identification method of the traditional Chinese medicine formula granules is consistent with the chromatographic condition constructed by the fingerprint, so that the detection error can be reduced.

Some specific examples are as follows.

The experimental procedures in the following examples are conventional unless otherwise specified. The raw materials, auxiliary materials, reagents and the like used in the following examples are all commercially available products unless otherwise specified. Wherein:

the instruments and models are as follows:

thermo Vanquish type ultra high performance liquid chromatograph (Thermo corporation), TUV detector (Thermo corporation), thermo workstation; a ten thousandth balance model ME204E (Mettler Toledo corporation); model XP26 millionth (Mettler Toledo); a 111B type two-pack high-speed Chinese medicine grinder (Zhejiang Ruian, yongshi pharmaceutical machinery, inc.); a numerical control KQ-500DE ultrasonic cleaner (ultrasonic instruments Co., ltd., kunshan city); model MiliQ Direct 8 ultra-pure water machine (merck millipore).

The raw materials and reagents are as follows:

psoralea fruit traditional Chinese medicine formula granules (batch numbers 101502, 15182, 1055312, 56522, 95852, 1030872, 1075132, 15181, 1075131, 1055321, 9066381, 1055311, 56601, 95851, 101501, 9066361, 9016391, 1030881, 95861) provided by Guangdong medicinal company Limited;

sal Bavaceae Chinese medicinal granule (batch No. 57092, 8096082, 1041932, 1081062, 9016692, 96962, 116292, 96972, 9076382, 1031392, 1050092, 1031391, 96971, 1041931, 9076381, 1081051, 9696961, 57021, 9016691, 8096071, 116291) is provided by Guangdong Fangyao pharmaceutical Co., ltd.

Psoralen glycosides (mass percent is more than or equal to 98%, lot No. ST 55020105), isopsoralen glycosides (mass percent is more than or equal to 98%, lot No. ST 55030105), bakuchiol (mass percent is more than or equal to 98.0%, lot No. ST 06860120) reference substances are all purchased from Shanghai Shidande Standard technical service Co., ltd; psoralen (mass percent is more than or equal to 99.6%, batch No. 110738-202016), isopsoralen (mass percent is more than or equal to 99.4%, batch No. 110739-201918) reference substances are all purchased from China food and drug testing research institute; methanol is chromatographically pure (Merck), formic acid is chromatographically pure (Techno chemical reagents, inc., kemi, tianjin), water is ultrapure water, and other reagents are analytically pure.

Example 1 construction of fingerprint

1.1 preparation of reference

Taking a proper amount of a psoralea fruit reference substance, an isopsoralen reference substance, a psoralen reference substance, an isopsoralen reference substance and a psoralen reference substance, precisely weighing, adding methanol for dissolving, and preparing a mixed solution containing 50 mu g of psoralen, 50 mu g of isopsoralen, 20 mu g of psoralen, 20 mu g of isopsoralen and 100 mu g of bakuchiol as a reference substance solution per 1 mL.

1.2 examination of the preparation method of the test article

1.2.1 examination of extraction vehicle

Taking about 0.1g of sample powder, accurately weighing, placing in a conical flask with a plug, accurately adding 25mL of 10% methanol, 30% methanol, 70% methanol and methanol, weighing, carrying out ultrasonic treatment (power 300W and frequency 45 kHz) for 30min, taking out, cooling, weighing again, complementing the weight loss by methanol, shaking up, filtering, and taking out the subsequent filtrate to obtain the product. The sample was injected and measured under the chromatographic conditions defined under the term "1.3.5", and the results are shown in FIG. 1. The result shows that different extraction solvents are adopted, the number of chromatographic peaks is obviously different, the chromatographic peak information amount obtained by extracting with methanol and 70% methanol aqueous solution is equivalent, the solvent extraction capacity and the solution stability are comprehensively considered, and the methanol is a more appropriate solvent, so that the methanol is determined to be used as the extraction solvent.

1.2.2 examination of extraction methods

Taking about 0.1g of sample powder, precisely weighing, placing in a conical flask with a plug, precisely adding 25mL of methanol, weighing, respectively performing ultrasonic treatment (power 300W and frequency 45 kHz) for 30min, and heating and refluxing for 30min. Taking out, cooling, weighing, adding methanol to make up for the lost weight, shaking, filtering, and collecting the filtrate. The sample was injected and measured under the chromatographic conditions determined under the term "1.3.5", and the results are shown in Table 1. The results show that the total peak area/sample weighing amount of different extraction modes have no obvious difference, and the extraction mode is determined to be ultrasonic on the basis of considering simple and convenient operation.

TABLE 1 examination of different extraction methods

1.2.3 extraction time study

Taking about 0.1g of sample powder, precisely weighing, placing in a conical flask with a plug, precisely adding 25mL of methanol, weighing, ultrasonically treating (power 300W, frequency 45 kHz) for 15, 30 and 45min, taking out, cooling, weighing again, supplementing the weight loss with methanol, shaking uniformly, filtering, and taking the subsequent filtrate. The sample was injected and measured under the chromatographic conditions defined under "1.3.5", and the results are shown in Table 2. The results show that there is no obvious difference in "total peak area/sample weighing" for different ultrasound times, and the extraction time is determined to be 30min in order to ensure complete extraction.

TABLE 2 investigation results at different extraction times

1.2.4 examination of the amount of extraction solvent

Taking about 0.1g of sample powder, accurately weighing, placing in a conical flask with a plug, accurately adding 15, 25 and 50mL of methanol, weighing, carrying out ultrasonic treatment (power 300W and frequency 45 kHz) for 30min, taking out, cooling, weighing again, supplementing the weight loss with methanol, shaking up, filtering, and taking out the subsequent filtrate. The sample was injected and measured under the chromatographic conditions determined under the term "1.3.5", and the results are shown in Table 3. The results show that when the dosage of the extraction solvent is 15mL, 25mL and 50mL, the numerical difference of the total characteristic peak area/sampling quantity multiplied by the dosage of the solvent of the characteristic spectrums of the three is not large, and the dosage of the extraction solvent is determined to be 25mL based on the consideration of saving the solvent.

TABLE 3 investigation of different solvent amounts

Based on the above investigation results, the preparation method of the determined test sample is as follows: taking about 0.1g of preparation granules, precisely weighing, placing in a conical flask with a plug, adding 25mL of methanol, weighing, ultrasonically treating (power 300W, frequency 45 kHz) for 30min, cooling, filtering, weighing again, supplementing the lost weight with methanol, shaking, filtering, and taking the subsequent filtrate.

1.3 establishing chromatographic conditions

1.3.1 determination of the detection wavelength

Taking about 0.1g of sample powder, precisely weighing, placing in a conical flask with a plug, precisely adding 25mL of methanol, weighing, ultrasonically treating (power 300W, frequency 45 kHz) for 30min, taking out, cooling, weighing again, supplementing the lost weight with methanol, shaking up, filtering, and taking the subsequent filtrate. Eluting according to the chromatographic gradient, column temperature and flow rate determined under item "1.3.5", recording chromatograms of the sample solution collected at 246nm, 308nm and 318nm, respectively, comparing the chromatograms, determining the optimal wavelength, and the result is shown in FIG. 2. As a result, the wavelength of 246nm was selected because the peak pattern of each chromatographic peak was better at 246nm than at 308nm and 318nm, and the absorption intensity of the main chromatographic peak was high.

1.3.2 column temperature investigation

Based on the experimental conditions set forth above, the column temperatures of 38 ℃, 40 ℃ and 42 ℃ were examined, and the results are shown in FIG. 3. The result shows that the chromatogram has better peak shape and moderate separation degree when the column temperature is 40 ℃. The column temperature was determined to be 40 ℃.

1.3.3 flow Rate investigation

Based on the experimental conditions set forth above, the flow rates at 0.28mL/min, 0.3mL/min, and 0.32mL/min were examined, and the results are shown in FIG. 4. The result shows that when the flow rate is 0.3mL/min, the chromatogram has better peak shape and moderate separation degree. Therefore, the flow rate was determined to be 0.3mL/min.

1.3.4 selection of Mobile phase

Taking the same sample solution, respectively examining mobile phase acetonitrile-0.1% formic acid solution (B) as mobile phase and methanol-0.1% formic acid solution (B) as mobile phase, injecting sample according to the chromatographic conditions determined under item "1.3.5", and measuring, the result is shown in FIG. 5. The methanol-0.1% formic acid solution (B) system is selected because of its relatively large peak information content, good separation effect of each peak and good peak shape of each component.

1.3.5 selection of elution gradient

The same sample solution was taken and eluted with methanol (A) -0.1% formic acid solution (B) as mobile phase in the gradient as shown in tables 4-6, respectively. The column temperature is 40 ℃; the detection wavelength is 246nm; the flow rate was 0.3mL/min, and the amount of sample was 1. Mu.L. The results are shown in FIG. 6. The result shows that the resolution of each chromatographic peak under the gradient 1 is relatively better than that under the

gradients

2 and 3, so that the gradient 1 with better resolution is finally determined to be used as the elution gradient of the characteristic map.

TABLE 4 gradient elution Table

TABLE 5 gradient elution Table

TABLE 6 gradient elution Table

Based on the above observations, the chromatographic conditions were determined as follows: an ACQUITY UPLC BEH C18 column (2.1 mm. Times.100mm, 1.7 μm) was used, the column temperature was 40 ℃ and the detection wavelength was 246nm. Methanol (A) -0.1% formic acid solution (B) was used as a mobile phase, and elution was carried out according to the elution procedure shown in Table 7, with a flow rate of 0.3mL/min and a sample volume of 1. Mu.L.

TABLE 7 elution procedure

1.4 methodological considerations

1.4.1 precision test

Taking the same sample solution, continuously injecting sample for 6 times according to the chromatographic condition determined under the item of '1.3.5', recording the peak area, taking the psoralen chromatographic peak as a reference peak (S), and calculating to obtain the relative retention time of each characteristic peak and the RSD value of the relative peak area which are both less than 3%, thereby indicating that the precision of the instrument is good.

1.4.2 repeatability tests

Taking 6 parts of the same psoralea fruit formula particle powder, precisely weighing, preparing a test article solution according to a test article preparation method determined under the item '1.2', respectively determining according to chromatographic conditions determined under the item '1.3.5', taking a psoralen chromatographic peak as a reference peak (S), and calculating to obtain the relative retention time of each characteristic peak and the RSD value of the relative peak area which are less than 3%, which indicates that the method has good repeatability.

1.4.3 stability test

Precisely absorbing the same test solution, respectively injecting samples for 0, 2, 4, 6, 8, 10, 12, 18 and 24h according to the chromatographic conditions determined under the item of '1.3.5', measuring, recording peak areas, taking psoralen chromatographic peaks as reference peaks (S), and calculating to obtain the relative retention time of each characteristic peak and the RSD of the relative peak area which are less than 3%, which indicates that the test solution has good stability in 24 h.

1.5 establishment of characteristic map and determination of common peak

Taking 19 batches of fructus psoraleae formula particles and fructus psoraleae formula particle samples, preparing a sample solution according to a sample preparation method determined under the item '1.2', determining according to chromatographic conditions determined under the item '1.3.5', recording peak areas of characteristic peaks, and carrying out peak area normalization processing (namely calculating the ratio of the peak area to the sampling amount), wherein the results are shown in tables 8-11. The data of the characteristic spectrums of the fructus psoraleae formula particles and the salt fructus psoraleae formula particles are respectively led into software of a traditional Chinese medicine chromatography fingerprint similarity evaluation system (2012 edition) for processing, and comparison characteristic spectrums of the fructus psoraleae formula particles and the salt fructus psoraleae formula particles are established, and the results are respectively shown in figures 7 and 8. The established feature map marks 22 common peaks. The identification of the control shows that peak 3, peak 5, peak 12, peak 14 and peak 22 are psoralen glycoside, isopsoralen, psoralen, isopsoralen and bakuchiol, respectively, and the results are shown in FIG. 9.

TABLE 8 normalization of peak areas of characteristic spectra common peaks of Psoralea corylifolia formulations of batches 19 (peaks 1 to 11)

TABLE 9 normalization of peak areas of common peaks of Psoralea corylifolia formula granules from lot 19 (peaks 12 to 22)

TABLE 10 normalization of peak areas of characteristic spectra common peaks of Salicornia corylifolia formula granules of batch 19 (peaks 1 to 11)

TABLE 11 results of normalization of peak areas of peaks common to characteristic patterns of Salicornia corylifolia granules of lot 19 (peaks 12 to 22)

1.6 orthogonal partial least squares discriminant analysis

1.6.1 determining the differential characteristic index

After peak areas of chromatographic peaks in fingerprints of 19 batches of measured psoralea corylifolia and psoralea corylifolia formula particles are normalized, orthogonal partial least squares discriminant analysis (OPLS-DA) is carried out by adopting SIMCA13.0 software to obtain an OPLS-DA score map (figure 10). Q2 of the regression coefficient of the principal component of the model is 0.9 and is more than 0.5, which indicates that the established prediction model is effective. The projection importance (VIP) results from the orthonormal partial least squares discriminant analysis are shown in fig. 11. Factors with VIP values >1.0 can be considered as differential markers, depending on the importance of the variable weight (VIP) in the model.

As can be seen from fig. 11, the VIP value >1.0 is shown as

peaks

9, 15, 3, 12, 5, 14, 11, 13, and 4, which are regarded as the differential characteristics of different psoralea fruit and psoralea fruit formulations.

1.6.2 discriminant analysis

Using VIP value obtained by OPLS-DA analysis and greater than 1 index (peak 9, peak 15, peak 3, peak 12, peak 5, peak 14, peak 11, peak 13, peak 4) as variable, introducing the data of the ratio of the peak area and the sampling amount of VIP >1 index (peak 9, peak 15, peak 3, peak 12, peak 5, peak 14, peak 11, peak 13, peak 4) of the batch of BGZ 01-BGZ 15 psoralea and YBGZ 01-YBGZ 15 salt psoralea formula granule samples into SPSS20 software, selecting a default independent variable screening method in discriminant analysis, inputting independent variables together for discriminant analysis, and establishing a discriminant model. The results are shown in tables 12 to 16. The results show Wilks' Lambda with a p value <0.05, indicating that the discriminant function is statistically significant. The non-normalized discriminant function is derived from the coefficients of the typical discriminant function in Table 14. The typical discrimination function of this example is as follows, Y = -0.008 × peak 3-1.488 × peak 4+0.056 × peak 5+3.381 × peak 9-3.863 × peak 11-0.281 × peak 12+1.220 × peak 13+0.449 × peak 14-1.367 × peak 15-0.144.

TABLE 12 eigenvalues

Function(s)	Characteristic value	Variance (%)	Accumulation (%)	Canonical correlation
					1	17.081 ^a	100.0	100.0	0.972

In table 12, a means that the first 1 typical discriminant functions were used in the analysis.

In discriminant analysis, discriminant analysis is only meaningful if the group mean values are not equal. Wilks' lambda is the ratio of the sum of squares within the group to the sum of the squares of the total. When all observed group means are equal, the Wilks' lambda value is 1; when the intra-group variation was small compared to the total variation, the Wilks' lambda value was close to 0. Thus, a large Wilks' lambda value indicates that the means for each group are substantially equal; wilks' lambda are small indicating differences between groups.

TABLE 13 set of interior sum of squares to sum of total squares (Wilks' lambda)

Function verification	Wilks'lambda	Square card	df	Sig.
					1	0.055	68.029	9	0.000

TABLE 14 exemplary discriminant function System

	Function(s)
			1
Peak 3	-0.008
		Peak 4	-1.488
Peak 5	0.056
		Peak 9	3.381
Peak 11	-3.863
		Peak 12	-0.281
Peak 13	1.220
		Peak 14	0.449
Peak 15	-1.367
		(constant)	-0.144

Table 15 set of functions at centroid

Group of	Function(s)
			1
Psoralea corylifolia formula granules	-3.993
		Sal psoralea fruit formula particle	3.993

TABLE 16 results of classification

EXAMPLE 2 identification of samples of unknown composition

2.1 sample preparation

Taking a proper amount of the traditional Chinese medicine formula particles to be detected, grinding, taking about 0.1g, precisely weighing, placing in a conical flask with a plug, precisely adding 25mL of methanol, weighing, carrying out ultrasonic treatment (power 300W and frequency 45 kHz) for 30min, cooling, supplementing the weight loss reduction amount with methanol, shaking up, filtering, and taking a subsequent filtrate to obtain a test solution of the traditional Chinese medicine formula particles to be detected.

2.2 assay procedures and results

Precisely absorbing 1uL of a test solution of a traditional Chinese medicine formula particle to be tested, injecting the solution into an ultra-high performance liquid chromatograph, measuring according to a chromatographic condition determined under the item of '1.3.5', obtaining peak areas of a peak 9, a peak 15, a peak 3, a peak 12, a peak 5, a peak 14, a peak 11, a peak 13 and a peak 4, calculating a ratio of the peak area to a sample amount, substituting a judgment function Y = -0.008 × peak 3-1.488 × peak 4 0.056 × peak 5+3.381 × peak 9-3.863 × peak 11-0.281 × peak 12+1.220 × peak 13+0.449 × peak 14-1.367 × peak 15-0.144, calculating a judgment score, comparing the distance with a centroid value (-3.992) of a psoralea formula particle and a centroid value (3.992) of a salt psoralea formula particle, judging that the psoralea sample is a psoralea salt formula particle to be tested closely, and judging that the psoralea formula particle is a salt to be tested if the sample is a salt to be a psoralea formula particle. The obtained discrimination results are shown in Table 17.

TABLE 17 discrimination results

Wherein group 1 represents psoralea fruit formula granules; group 2 represents Saikai formula granules.

As can be seen from table 17, samples BGZ16 to BGZ19 were identified as fructus psoraleae formula granules, and samples YBGZ16 to YBGZ21 were identified as salt fructus psoraleae formula granules, which indicates that the discriminant function can effectively identify fructus psoraleae and salt fructus psoraleae formula granules with similar chemical component types.

The technical features of the embodiments and examples described above can be combined in any suitable manner, and for the sake of brevity, all possible combinations of the technical features of the embodiments and examples described above are not described, but should be considered within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.

The above-described examples merely represent several embodiments of the present application and are not to be construed as limiting the scope of the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Further, it should be understood that various changes or modifications can be made by those skilled in the art after reading the above teaching of the present application, and the obtained equivalent forms also fall within the protection scope of the present application. It should also be understood that technical solutions obtained by logical analysis, reasoning or limited experiments based on the technical solutions provided by the present application are all within the scope of the claims appended to the present application. Therefore, the protection scope of the present patent should be subject to the appended claims, and the description and drawings can be used to explain the contents of the claims.

Claims

1. A fingerprint construction method of fructus psoraleae or fructus psoraleae salt traditional Chinese medicine formula particles is characterized by comprising the following steps:

2. The fingerprint spectrum construction method according to claim 1, wherein the elution procedure comprises:

42.1-47 min, and keeping the volume percentage of the mobile phase A at 18%.

3. The fingerprint spectrum construction method according to claim 2, wherein the conditions of the ultra high performance liquid chromatography analysis comprise one or more of the following characteristics:

(2) The type of the chromatographic column is ACQUITY UPLC BEH;

(3) The column temperature is 38-42 ℃;

(4) The detection wavelength is 240 nm-250 nm;

(5) The flow rate of the mobile phase is 0.28mL/min to 0.32mL/min.

4. The fingerprint spectrum construction method according to any one of claims 1 to 3, wherein the extraction solvent is methanol, and the extraction method is ultrasound.

5. The fingerprint construction method according to any one of claims 1 to 3, wherein the Psoralea corylifolia traditional Chinese medicine formula particle is prepared by the following steps:

6. The fingerprint construction method according to any one of claims 1 to 3, wherein the SALVHAIZHIYAOCHU formula granule is prepared by the following steps:

7. The identification method of the traditional Chinese medicine formula granules is characterized by comprising the following steps:

comparing the fingerprint of the fructus psoraleae traditional Chinese medicine formula particles with the fingerprint of the fructus psoraleae traditional Chinese medicine formula particles, calibrating 22 common peaks, performing orthogonal partial least squares discriminant analysis by taking the ratio of the peak area of each peak to the sampling amount as data, determining 9 mark peaks according to the analysis result, performing discriminant analysis by adopting SPSS20 software based on the 9 mark peaks, and establishing a discriminant equation; wherein the retention times of the 9 marker peaks are as follows: peak 9:11.88 ± 10%, peak 15:17.54 ± 10%, peak 3:6.46 ± 10%, peak 12:15.62 ± 10%, peak 5:7.89 ± 10%, peak 14:17.03 ± 10%, peak 11:14.79 ± 10%, peak 13:16.33 ± 10% and peak 4:7.01 +/-10%;

the fructus psoraleae traditional Chinese medicine formula particles are judged if the judgment score is closer to the mass center value I, and the fructus psoraleae traditional Chinese medicine formula particles are judged if the judgment score is closer to the mass center value II;

8. The authentication method of claim 7, wherein the discriminant equation is: y = -0.008 × peak 3-1.488 × peak 4+0.056 × peak 5+3.381 × peak 9-3.863 × peak 11-0.281 × peak 12+1.220 × peak 13+0.449 × peak 14-1.367 × peak 15-0.144.

9. The identification method according to claim 7 or 8, wherein the elution procedure comprises:

the volume percentage of the mobile phase A is increased from 46% to 57% in 18 min-19 min;

42.1-47 min, and keeping the volume percentage of the mobile phase A at 18%.

10. An identification method according to claim 9, wherein the conditions of the ultra high performance liquid chromatography analysis include one or more of the following characteristics:

(2) The type of the chromatographic column is ACQUITY UPLC BEH;

(3) The column temperature is 38-42 ℃;

(4) The detection wavelength is 240 nm-250 nm;

(5) The flow rate of the mobile phase is 0.28mL/min to 0.32mL/min.

11. The method for identification according to claim 10, wherein the extraction solvent is methanol and the extraction method is sonication.