Medicinal material quality grade evaluation method for near-infrared rapid detection of content of calcium antagonistic functional component in magnolia officinalis

Abstract

The honokiol content can be used for evaluating the Ca < 2 + > antagonistic activity of the officinal magnolia bark medicinal material, and the quality grade of the officinal magnolia bark medicinal material can be evaluated by taking the content of calcium antagonistic functional components in the officinal magnolia bark as an index. Therefore, a medicinal material quality grade evaluation method for rapidly detecting the content of the calcium antagonistic functional component in the mangnolia officinalis through near infrared is also established, and the contents of magnolol, honokiol, ash, moisture and acid ash in the mangnolia officinalis medicinal material are predicted through a near infrared spectrum model. The Fq is used as a comprehensive evaluation index, and the quality grade of the magnolia officinalis medicinal material is graded according to the Fq value; wherein the relation between the comprehensive evaluation index and the contents of magnolol and honokiol and the relation between the ash content, the acid-insoluble ash content and the moisture meet the following function: # imgabs0 #. The method is simple, convenient and rapid, and evaluation on the overall quality of the medicinal material of magnolia officinalis can be realized through a simple near infrared spectrum; and a new thought and method are provided for establishing mangnolia officinalis quality intelligent level-to-level management.

Description

Technical Field

[0001] The invention belongs to the technical field of rapid evaluation of Chinese medicinal material quality, and in particular relates to a method for evaluating the quality grade of medicinal materials by near-infrared rapid detection of the content of calcium antagonist effective components in magnolia bark. Background Art

[0002] Magnolia officinalis is derived from the dried bark, root bark and branch bark of Magnolia officinalis Rehd.et Wils or Magnolia officinalis Rehd.et Wils.var.biloba Rehd.et Wils. of the Magnoliaceae family. It is included in the Chinese Pharmacopoeia, first recorded in Shennong's Herbal Classic, and is listed as a medium-grade product. It has the effects of drying dampness and eliminating phlegm, and removing qi and fullness. Modern pharmacological studies have shown that Magnolia officinalis has obvious pharmacological activity on the digestive, nervous, cardiovascular and respiratory systems. It is often used in combination with Pinellia, Rhubarb, Citrus aurantium, and Ephedra to treat constipation, gastric ulcer, gastroesophageal reflux, cough, variant asthma and chronic bronchitis. Studies have shown that the main chemical components of Magnolia officinalis include phenols, volatile oils and alkaloids. In the Chinese Pharmacopoeia (2020 edition), magnolol and honokiol are used as detection indicators for the determination of Magnolia officinalis content.

[0003] Existing methods for detecting Magnolia officinalis include traditional property identification and microscopic identification, infrared spectroscopy, ultraviolet spectroscopy and fluorescence spectroscopy in spectroscopy technology, gas chromatography (GC), thin layer chromatography (TLC) and high performance liquid chromatography (HPLC) in chromatographic identification technology, and DNA sequence analysis and other technologies. However, the above detection methods are time-consuming, have many procedures, and the detection items are relatively single, making it difficult to comprehensively evaluate the overall quality of the medicinal material. How to establish a simple, fast and comprehensive quality evaluation method to provide a strong guarantee for the quality of Magnolia officinalis is an urgent problem to be solved in the quality control of Magnolia officinalis.

[0004] Among many quality inspection technologies, near-infrared spectroscopy (NIRS) is an integrated analytical technology that is simple, fast, low-cost, environmentally friendly, does not damage samples, and can achieve full-process automatic inspection. In recent years, it has been widely used in various fields such as pharmaceuticals, agriculture, food, and industrial chemicals.

[0005] Transient receptor potential V4 (TRPV4) is a cation channel in the TRP family with a high Ca 2+ Permeability. The applicant's previous research found that Magnolia officinalis can effectively control the changes in membrane potential triggered by acetylcholine stimulation of M receptors by targeting and inhibiting TRPV4, reducing the opening of voltage-gated channels, thereby reducing the influx of external calcium, inhibiting the contraction of small intestinal smooth muscle, relieving gastrointestinal inflammation and intestinal irritation, and thus exerting the effect of regulating qi. Summary of the invention

[0006] The technical problem to be solved by the present invention is to provide a simple and fast near-infrared rapid detection method for evaluating the quality grade of medicinal materials for the content of calcium antagonist components in Magnolia officinalis.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions:

[0008] Contents of magnolol and honokiol were used to evaluate the Ca content of Magnolia officinalis 2+ Antagonistic activity.

[0009] The quality grade of Magnolia officinalis was evaluated based on the content of calcium antagonist ingredients in Magnolia officinalis. The calcium antagonist ingredients were magnolol and honokiol.

[0010] A method for evaluating the quality grade of medicinal materials by near-infrared rapid detection of the content of calcium antagonist components in Magnolia officinalis. The contents of magnolol, honokiol, ash, moisture and acid ash in Magnolia officinalis are predicted by a near-infrared spectroscopy model. Fq is used as a comprehensive evaluation index, and the quality grade of Magnolia officinalis is graded according to the Fq value. The relationship between the comprehensive evaluation index and the contents of magnolol and honokiol, as well as ash, acid-insoluble ash and moisture satisfies the following function:

[0011]

[0012] Wherein, x1 to x5 are the results of determination of magnolol, honokiol, ash, acid ash and water content in each batch of samples; to They are the average values ​​of the contents of magnolol, honokiol, ash, acid ash and moisture, respectively.

[0013] The grading includes five quality levels.

[0014] The five quality levels are rated as follows:

[0015] The Fq value is greater than 108, which is level 1;

[0016] Fq values ​​of 108 to 95 are level 2;

[0017] Fq values ​​of 95 to 86 are level 3;

[0018] The Fq value of 86 to 76 is level 4;

[0019] An Fq value less than 76 is level 5.

[0020] Based on previous studies, the inventors proposed to use antagonism of TRPV4-Ca based on the Qi-regulating effect of Magnolia officinalis. 2+The active dual fluorescence reporter gene detection system was used to screen and confirm the relevant quality markers (Q-markers) in Magnolia officinalis. The study found that magnolol and honokiol showed Ca concentration-dependent 2+ Antagonistic effect, indicating that magnolol and honokiol are the Ca 2 + Therefore, the content of magnolol and honokiol can be used to evaluate the Ca content of magnolia bark. 2+ Antagonistic activity can also be used as an indicator to evaluate the quality grade of Magnolia officinalis. Furthermore, the inventors integrated a near-infrared rapid detection method based on Q-marker, and established a near-infrared rapid detection method for the quality grade evaluation of medicinal materials for the content of calcium antagonist components in Magnolia officinalis. The content of magnolol, honokiol, ash, moisture and acid ash in Magnolia officinalis medicinal materials was predicted by a near-infrared spectral model; Fq was used as a comprehensive evaluation index, and the quality grade of Magnolia officinalis medicinal materials was graded according to the Fq value; wherein, the relationship between the comprehensive evaluation index and the content of magnolol and honokiol, as well as ash, acid-insoluble ash and moisture satisfies the following function:

[0021]

[0022] Studies have shown that the method of the present invention can achieve a rapid evaluation of the quality of Magnolia officinalis by fitting the relationship between "near infrared spectral information and comprehensive evaluation index". This method is simple and fast, and can evaluate the overall quality of Magnolia officinalis through a simple near infrared spectrum, providing new ideas and methods for establishing intelligent grading management of Magnolia officinalis quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is the fingerprint of 23 batches of Magnolia officinalis samples (S1~S23).

[0024] Figure 2 is the peak area and Ca 2+ Results of correlation analysis of antagonistic activity.

[0025] Figure 3 The main active ingredients of Magnolia officinalis are magnolol and honokiol Ca 2+ Figure 2. Validation of monomer activity of antagonistic effect.

[0026] Figure 4 This is the content determination chart of Magnolia officinalis detection indicators specified in the "Chinese Pharmacopoeia" (2020 edition). In the figure: A the total amount of magnolia officinalis and honokiol, B ash content, C acid insoluble ash content, D water content.

[0027] Figure 5This is a graph of the near-infrared spectrum wavenumber range analysis results, in which: A is a spectrum comparison between magnolia bark and honokiol after pretreatment, B is a spectrum comparison between magnolia bark sample and magnolia bark after pretreatment, and C is a spectrum comparison between magnolia bark sample and honokiol after pretreatment.

[0028] Figure 6 This is a near-infrared spectroscopy quantitative prediction model diagram for five indicators of Magnolia officinalis, in the figure: A magnolia officinalis, B and magnolia officinalis, C moisture, D ash, E acid insoluble ash.

[0029] Figure 7 This is a comprehensive quality evaluation and grade identification diagram of Magnolia officinalis medicinal materials, in which: a. orthogonal response surface result analysis; b. scattered point distribution of Fq scores of Magnolia officinalis samples; c. normal distribution area and grade division;.

[0030] Figure 8 It is based on the comprehensive evaluation index (Fq) of Ca 2+ Antagonistic activity verification results. DETAILED DESCRIPTION

[0031] Example 1 HPLC chromatogram analysis of Magnolia officinalis

[0032] 1) Chromatographic conditions: Chromatographic column C18 (250mm×4.6mm, 5μm); mobile phase A: 0.1% formic acid aqueous solution, mobile phase B: acetonitrile; column temperature 33°C, injection volume 10μL, flow rate 1.0mL / min, wavelength 240nm. Gradient elution: 0-6min, 5%-10% B; 6-60min, 10%-25% B; 60-65min, 25%-30% B; 65-70min, 30%-50% B; 70-80min, 50%-90% B; 80-100min, 90%-100% B.

[0033] 2) Preparation of reference solution Take appropriate amount of magnolol reference substance and honokiol reference substance, weigh accurately, add methanol to prepare solutions containing 40 μg magnolol and 24 μg honokiol per 1 mL respectively.

[0034] 3) Preparation of test solution: Take about 1 g of the product powder (passed through No. 3 sieve), place in a stoppered conical flask, add 20 mL of water, heat and reflux for 30 min, cool, centrifuge for 10 min, take 1 mL of the supernatant and evaporate to dryness, add 25 mL of methanol, ultrasonically treat (power 250 W, frequency 40 kHz) for 30 min, cool, shake well, filter, and obtain the solution.

[0035] 4) Confirmation of common peaks 23 batches of Magnolia officinalis powder were taken and measured according to the above chromatographic conditions. The chromatograms of each batch of samples were recorded, and the same single peaks that can be integrated in the spectra of each batch of samples were counted and their peak areas were recorded. The HPLC fingerprints of different batches of Magnolia officinalis medicinal materials were evaluated using the "Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System 2012 Edition" (see Figure 1 ) were used for similarity evaluation. The similarities between the 16 peaks selected from the fingerprints of 23 batches of Magnolia officinalis samples (S1-S23) and the control fingerprints were calculated as shown in Table 1, indicating that the selected common peaks had a high similarity and could be confirmed to be chromatographic peaks of the same compound.

[0036] Table 1 Similarity statistics of fingerprints of 23 batches of Magnolia officinalis samples and controls

[0037]

[0038] Example 2 Based on Ca 2+ HPLC Spectrum-Efficacy Screening of Antagonistic Active Components of Magnolia officinalis

[0039] 1) Cell culture: Human renal epithelial cells 293T (purchased from Type Culture Collection, Rockville MD, USA) were taken, 4 mL of DMEM high glucose complete medium was added, and placed in a 25 cm 2 The cells were placed in a cell culture flask at 37°C in a 5% CO2 incubator. When the cell confluence reached 70%, cell transfection was performed.

[0040] DMEM high-glucose complete medium: DMEM high-glucose medium (Gibco, USA) was added with 10% fetal bovine serum and 1% double antibody (ampicillin and streptomycin, Gibco, USA)

[0041] 2) Construction of high expression plasmid strains: Thaw the competent cells of Escherichia coli DH5α in an ice water bath, and add the target DNA (Ca 2+ Luciferase reporter PGL4.30 plasmid and internal reference luciferase reporter gene plasmid Renilla) were flicked at the bottom of the tube with fingers, gently mixed and placed in an ice water bath for 30 minutes, taken out and quickly placed in a 42°C heat shock for 90 seconds, and then quickly placed in an ice water bath for 2 minutes, followed by adding 200 μL of sterile LB medium, placed in a 37°C shaker, and shaken and revived at 200 rpm for 60 minutes. An appropriate amount of bacterial solution was spread on an LB plate containing resistance, the plate was inverted, and cultured at 37°C for 12 hours. A single colony was picked for expansion culture and genome sequencing to obtain Escherichia coli with high expression of PGL4.30 plasmid and Renilla internal reference plasmid, respectively.

[0042] 3) Plasmid extraction: The E. coli obtained in step (2) was amplified and cultured in a 37°C constant temperature shaker for 12 hours. When the bacterial density OD reached 0.6, the PGL4.30 plasmid and the Renilla internal reference plasmid were extracted and used for the following transfection.

[0043] 4) Cell transfection: The 293T cells cultured in step (1) were subjected to cell transfection. PGL4.30 plasmid (100 ng / well), Renilla internal reference plasmid (10 ng / well) and PEI liposome 2000 (Invitrogen, USA) (final concentration 1 mg / mL) were uniformly mixed in DMEM high-glucose blank medium, allowed to stand for 15 minutes, and then the above-mentioned DMEM high-glucose complete medium was added, and the medium was placed in a 37°C, 5% CO2 incubator for further static culture for 20 hours.

[0044] DMEM high glucose blank medium: DMEM high glucose medium (Gibco, USA)

[0045] 5) Cell administration: The experiment set up a control group (blank culture medium), a model group (GSK101, (TRPV4 receptor agonist, MCE, USA, GSK1016790A), 1nmol / L), a positive drug group (GSK219, (TRPV4 receptor inhibitor, MCE, USA, GSK2193874), 5μmol / L) and a 23-batch magnolia bark extract group (raw drug amount 0.5mg, the above test solution was dissolved in 1ml DMSO). After 6 hours of administration, the cells were collected for reporter gene detection.

[0046] Modeling solution: containing GSK101 with a final concentration of 1 nmol / L and DMEM high-glucose blank medium;

[0047] 6) Reporter gene detection: discard the cell supernatant after 6 hours of drug administration, and add 20 μL of cell lysis solution (1×) in the dual luciferase reporter gene kit (Promega, USA) to each well (the initial concentration is 5×, and 1× cell lysis solution is obtained after diluting 5 times with ultrapure water for cell lysis), and shake for 30 minutes. Collect the lysate, aspirate 15 μL from each well and transfer it to a 1.5 mL EP tube. And determine the fluorescence intensity value according to the instructions of the luciferase reporter gene kit (Promega, USA). According to the ratio of relative fluorescence intensity (Ca 2+ Fluorescence value / Renilla fluorescence value), calculate Ca 2+ Inhibitory activity.

[0048] The experimental results are as follows Figure 2As shown in (below), the calcium ion concentration in the cells of the model group increased significantly after drug stimulation, and the positive drug GSK219 can effectively inhibit the increase of calcium in the cells. At the same time, components 13 and 14 in the Magnolia officinalis extract showed obvious calcium-lowering effects. After UPLC / Q-TOF analysis, secondary mass spectrometry data and reference substance identification, it was confirmed that components 13 and 14 were honokiol (m / z 265.1246 [M+H] - ) and magnolol (m / z 265.1246[M+H] - ), which are the main active ingredients in Magnolia officinalis.

[0049] Example 3 Main active ingredients of Magnolia officinalis: magnolol and honokiol Ca 2+ Verification of the antagonistic effect by monomer activity

[0050] Weigh appropriate amounts of magnolol (commercial product) and honokiol (commercial product) respectively, dissolve them in a small amount of DMSO and prepare a concentration of 10 -3 mol / L standard solution, on this basis, was diluted 10 with DMEM high glucose blank medium. 2 times, 10 3 , 10 4 The standard solutions of 10, 1, and 0.1 μmol / L were obtained and stored at -20°C for later use.

[0051] The experimental groups were blank group (DMEM high-glucose blank medium), model group (GSK101, 1nmol / L), positive group (containing modeling solution with a final concentration of 1nmol / L GSK101 and 5μmol / L GSK219), honokiol (10, 1, 0.1μmol / L), and honokiol (10, 1, 0.1μmol / L) standard group. After 6 hours of administration, the cell supernatant was discarded, and 20μL of 1× cell lysis solution was added to each well and shaken for 30 minutes. The lysate was collected, and 15μL was aspirated from each well and transferred to a 1.5mL EP tube. The fluorescence intensity value was determined according to the instructions of the luciferase reporter gene kit (Promega, USA). According to the ratio of relative fluorescence intensity (Ca 2+ Fluorescence value / Renilla fluorescence value), calculate Ca 2+ Inhibitory activity.

[0052] The experimental results are as follows Figure 3 As shown, magnolol and honokiol showed Ca concentration-dependent 2+ Again, the overall Ca content of Magnolia officinalis can be evaluated by using the content of the key active compounds magnolol and honokiol. 2+ Antagonistic effect.

[0053] Example 4 Determination of the content of the effective components of Magnolia officinalis and 5 quality control components specified in the Pharmacopoeia

[0054] After 60 batches of Magnolia officinalis were crushed, the five accused components including magnolol, honokiol, moisture, ash and acid-insoluble ash were determined according to the methods specified in the Chinese Pharmacopoeia (2020 edition). Figure 4 .

[0055] Among them, there were 7 defective products, accounting for 11.67%.

[0056] Example 5 Near-infrared spectrum collection of Magnolia officinalis samples

[0057] 1) Magnolia bark sample spectrum collection Take 50g of Magnolia bark medicinal material and put it in a grinder for crushing. After crushing for 2 minutes, let it pass through the No. 2 sieve specified in the "Chinese Pharmacopoeia" (2020 edition), and the sample is obtained. The Master10D Fourier transform near-infrared spectrometer is turned on and stabilized for 30 minutes to collect the background spectrum. After the background collection is completed, about 1g of the test sample powder is evenly poured into a quartz cup with a diameter of 2cm, flattened, and connected to a computer for scanning.

[0058] 2) Spectral collection of magnolol and honokiol reference substances. Magnolia and honokiol reference substances were prepared into 1 mg / mL, 5 mg / mL, and 10 mg / mL deuterated DMSO solutions, respectively. A Bruker Tensor37 model Fourier transform near-infrared spectrometer was used to collect spectra of the reference substance solution dissolved in deuterated DMSO using a glass cup with a 2 mm optical path and a transmission detection element and an indium gallium arsenide detector. This spectrum was used to determine the characteristic bands of magnolol and honokiol.

[0059] Example 6 Establishment of near-infrared quantitative model based on five indicators of Magnolia officinalis

[0060] 1) Selection of wave number range of magnolol and honokiol Figure 5 The near infrared spectra of magnolol and magnolol reference solution are compared. By comparing the two spectra in the figure, it can be observed that the two have similar absorption peaks such as 4056-4395, 4585-5000, 5017-5341, 5814-6250, 6872-7326cm -1 Comparing the spectrum of the sample with that of magnolol and honokiol, it can be seen that the spectrum of the sample also has similar absorption peaks in the above range. Wavenumber range 4056-4395cm -1 It is the second-order spectral band of the fundamental frequency of the CH bending vibration of the methyl group connected to the aromatic ring; 4585-5000cm -1 The combined frequency of the stretching vibration, bending vibration and deformation vibration of the aromatic ring CH; 5017 to 5341 cm -1 The combined frequency of OH stretching vibration and bending vibration; 5814 to 6250 cm -1The first-order spectral band of stretching vibration of aromatic ring CH and methyl CH connected to aromatic ring; 6872 to 7326 cm -1 It is the first-order overtone band of the fundamental frequency of OH stretching vibration.

[0061] 2) Selection of pretreatment methods The influence of factors such as the particle size, color and instrument response of Magnolia officinalis samples on the spectrum will cause drift of its near-infrared spectrum and baseline. Therefore, the first derivative (FD), elimination of constant offset (ECO), multiple scattering correction (MSC), (Minimum Maximum Normalization, MMN) maximum minimum normalization, standard normal variate (SNV) and other methods, as well as FD+MSC and FD+SNV combination methods, were used to preprocess the spectrum, and the best preprocessing method was selected in combination with the wavenumber range.

[0062] The quantitative analysis model was established using the five indicators and the above-mentioned optimal spectral preprocessing method and wavenumber interval. The results are shown in Table 2. The near-infrared prediction models of the five detection indicators were obtained (see Table 2). Figure 6 ), its total ash, acid insoluble ash, moisture, magnolol, and magnolol predicted R 2 cal The R values ​​of the 10 validation set samples were tested using the above model. The results showed that the R values ​​between the predicted values ​​and the measured values ​​of the five indicators were 2 text They are 0.855, 0.869, 0.884, 0.912 and 0.858 (all greater than 0.85), indicating that the model prediction results are accurate and reliable.

[0063] Table 2 Effects of different preprocessing methods and wavenumber ranges on the model

[0064]

[0065]

[0066] Example 7 Study on Comprehensive Intelligent Evaluation of Magnolia Bark Quality

[0067] 1) The relative dispersion of samples takes into account the positive and negative correlations between the test index and its quality. in ) is calculated according to formula (1), such as magnolol and honokiol in Magnolia officinalis; negative correlation dispersion (K′ in ) is processed according to formula (2), such as total ash, acid insoluble ash, and moisture. In the formula, x in Refers to the content determination result of the nth sample of the ith indicator; i x Refers to the average value of the content of the ith indicator; K in and K′ in They respectively represent the ratio of the content of the ith indicator in the nth sample to its mean.

[0068]

[0069] 2) Weight distribution coefficient (W i ) and the comprehensive evaluation index (Fq) were determined by referring to the orthogonal test method, and the W of the five detection indicators of Magnolia officinalis under the provisions of the "Chinese Pharmacopoeia" (2020 edition) were calculated. i (W1-W5), using L 40 (3 5 )Orthogonal experimental design was used and investigated at 5 levels.

[0070] The level of each factor was determined by Design Expert software, and the sample W was investigated by orthogonal experimental design. i The influence of the change on the distribution of Fq value, and finally determine the optimal W 1-5 The values ​​are 0.319, 0.356, 0.004, 0.122 and 0.163 respectively. The Fq value of unqualified medicinal materials is lower than 11.67%, which is close to the unqualified proportion of the measured value. Based on the above results, the calculation formula of the Fq value of Magnolia officinalis was finally determined as follows:

[0071]

[0072] 3) Comprehensive evaluation and grade identification of Magnolia officinalis quality The five index data of 60 batches of model Magnolia officinalis samples were input into the Fq formula to obtain the sample Fq value.

[0073] The results are as follows Figure 7 As shown, the Fq values ​​of 60 batches of Magnolia officinalis samples showed normal distribution characteristics (sig = 0.30> 0.05). The average Fq score of 60 batches of Magnolia officinalis was 95, and the Fq values ​​of unqualified samples were all lower than 76. According to the normal distribution characteristics of Fq values, the samples were divided into five grades: the first grade was greater than 108, the second grade was between 95 and 108, the third grade was between 86 and 95, the fourth grade was between 76 and 86, and the fifth grade was lower than 76. The proportion of unqualified samples (fifth grade) was less than 11.67%, which was consistent with the actual test results.

[0074] Example 8 Ca based on comprehensive evaluation index (Fq) 2+ Antagonistic activity verification

[0075] In order to verify whether the above evaluation system is reasonable, the samples of Magnolia officinalis with different grades graded by this method were subjected to Ca 2+ Verification of antagonistic activity. The experiment set up a control group (blank culture medium), a model group (GSK101, 1nmol / L), a positive drug group (GSK219, 5μmol / L), and a magnolia bark extract group (raw drug amount 0.5mg, three batches each from the first, third, and fifth grade magnolia bark for verification).

[0076] The results showed that compared with the model group, the Magnolia officinalis samples used in the experiment showed a certain amount of Ca 2+ The antagonistic activity of Magnolia officinalis samples with excellent and medium levels of Ca 2+ The antagonistic activity was significantly better than that of unqualified samples (see Figure 8 ), proving that this evaluation system can be realized with different Ca 2+ Therefore, the method can be used to quickly evaluate the content of effective ingredients with calcium antagonist effect in Magnolia officinalis and distinguish the quality grades.

Claims

1. The content of magnolol and honokiol is used to evaluate the Ca content of Magnolia officinalis 2+ Antagonistic activity.

2. The quality grade of Magnolia officinalis was evaluated based on the content of calcium antagonist components in Magnolia officinalis, which is characterized by: The calcium antagonist ingredients are magnolol and honokiol.

3. A method for evaluating the quality grade of medicinal materials by near-infrared rapid detection of the content of calcium antagonist components in Magnolia officinalis, characterized in that The contents of magnolol, honokiol, ash, moisture and acid ash in Magnolia officinalis were predicted by near infrared spectroscopy model; Fq was used as comprehensive evaluation index, and the quality grade of Magnolia officinalis was graded according to the Fq value; the relationship between the comprehensive evaluation index and the contents of magnolol and honokiol, as well as ash, acid insoluble ash and moisture satisfied the following function: Wherein, x1 to x5 are the results of determination of magnolol, honokiol, ash, acid ash and water content in each batch of samples; to They are the average values ​​of the contents of magnolol, honokiol, ash, acid ash and moisture, respectively.

4. The evaluation method according to claim 1, characterized in that: The classification includes five quality levels.

5. The evaluation method according to claim 1, characterized in that The five quality levels are assessed as follows: The Fq value is greater than 108, which is level 1; Fq values ​​of 108 to 95 are level 2; Fq values ​​of 95 to 86 are level 3; The Fq value of 86 to 76 is level 4; An Fq value less than 76 is level 5.

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