Construction method of rabdosia rubescens fingerprint spectrum and quality detection method of anti-alcoholic liver injury effect of rabdosia rubescens fingerprint spectrum

Abstract

The invention relates to a construction method of a fingerprint spectrum of rabdosia lophanthoides and a quality detection method of an anti-alcoholic liver injury effect of the rabdosia lophanthoides, and belongs to the technical field of quality detection of traditional Chinese medicines. The invention provides the construction method of the narrow-baseline rabdosia rubescens fingerprint spectrum. The construction method is good in specificity, good in precision, good in repeatability and relatively high in accuracy. The construction method disclosed by the invention is wider in universality. The fingerprint spectrum is obtained by using the construction method, and a spectrum-effect relationship is constructed by combining a grey correlation analysis method, an analytic hierarchy process and a PLSR analysis method with the alcoholic liver injury resistance efficacy, so that a dose-effect relationship is obtained, and the narrow-baseline rabdosia rubescens quality standard is established. According to the quality detection method constructed by the invention, the defect that a quality marker is measured only by content in the prior art and the defect that the efficacy of components is verified one by one by using multiple monomers are overcome, the time and reagent cost are saved, and the quality standard of a sample is effectively established.

Description

Technical Field

[0001] This invention relates to the field of traditional Chinese medicine quality testing technology, and in particular to a method for constructing a fingerprint spectrum of a narrow-base patterned herb and a method for quality testing its anti-alcoholic liver damage efficacy. Background Technology

[0002] Narrow-base patterned fragrant tea vegetable ( Isodon lophanthoides var. gerardiana ) is one of the important original plants of the *Hedyotis diffusa* class of medicinal materials. Morphologically, it is easily confused with *Hedyotis diffusa*, *Hedyotis diffusa* var. *fiber*, and *Hedyotis diffusa* ( Isodon serra This plant is a variety of *Hemiberlesia lataniae*, which differs significantly from *Hemiberlesia javanica* in its volatile oil chemical composition, possessing its own unique material basis. It is a tall plant with large, ovate leaves that are acuminate at the apex and cuneate at the base. It grows primarily in mixed forests or thickets at altitudes of 430-2900 meters. In my country, its distribution covers multiple regions including Tibet, Yunnan, Sichuan, Gansu, Guizhou, Guangxi, Guangdong, and Hunan, and it is also found in parts of South and Southeast Asia. Notably, *Hemiberlesia lataniae* was officially approved as a new food ingredient by the National Health Commission in 2013 (Announcement No. 10 of 2013 by the former Ministry of Health), allowing its use in tea beverages and substitute teas. This designation highlights its safety and development value, providing a high-quality raw material source for the innovative development of related health foods.

[0003] The pathogenesis of alcoholic liver injury is closely related to oxidative stress, inflammatory response, and hepatocyte apoptosis. Currently, the quality evaluation of *Hedyotis diffusa* largely relies on "component content" or "fingerprint similarity," failing to establish a spectrum-effect relationship between "chemical components and anti-hepatic injury efficacy." This results in some *Hedyotis diffusa* herbs that meet existing quality standards having poor actual clinical efficacy. Therefore, there is an urgent need to develop an integrated method that combines "fingerprint characteristics and anti-hepatic injury efficacy indicators" to upgrade the quality of *Hedyotis diffusa* from "qualified" to "effective."

[0004] Existing technologies for identifying medicinal materials like *Hedyotis diffusa* primarily focus on identifying their source. For example, CN106053696A describes a method for identifying the plant source of *Hedyotis diffusa*, using rosmarinic acid, styracidin A, oridonin, linalool, and ethyl caffeate as standards to identify three sources: *Hedyotis diffusa*, *Styracidin styracidin*, or *Styracidin styracidin*. This method focuses solely on source identification and does not address *Styracidin styracidin* or its efficacy. CN104614480A constructs a fingerprint spectrum of 12 common peaks for water-soluble total flavonoids from *Hedyotis diffusa*, achieving... Quality control at the extract level was conducted, but it was not specifically for *Hedysarum sieboldii*, and the correlation between components and anti-hepatotoxic activity was not clearly defined. The establishment of the HPLC fingerprint of *Hedysarum sieboldii* herb (CN103776926A) used caffeic acid, 6-C-arabinopyranosyl-8-C-glucopyranosylapigenin, vitexin, and rosmarinic acid as standards to identify four sources: *Hedysarum sieboldii*, *Hedysarum sieboldii*, *Hedysarum sieboldii* var. *sieboldii*, and *Hedysarum sieboldii*. Although a fingerprint of *Hedysarum sieboldii* was established and attempts were made to differentiate the sources, it suffered from drawbacks such as long analysis time (100-120 min), insufficient specificity of characteristic peaks (e.g., vitexin was also detected in some *Hedysarum sieboldii*), and lack of efficacy binding, and it was not specifically for *Hedysarum sieboldii*. Furthermore, the quality of *Hedysarum sieboldii* from the same source varies, and there is a lack of relevant detection methods for fingerprinting specific sources of *Hedysarum sieboldii*.

[0005] Existing literature indicates that *Hedyotis diffusa* has hepatoprotective effects, but these effects vary. Currently, there are no relevant quality evaluation standards for its hepatoprotective properties. As a traditional herb for clearing the liver and promoting bile secretion, *Hedyotis diffusa* is widely used in folk medicine and the production of traditional Chinese medicine. However, current technology cannot achieve specific identification and quality control for herbs like *Hedyotis diffusa*, leading to confusion regarding the origin of raw materials. Its component content fluctuates greatly, and the component content varies from raw materials collected in different regions, affecting clinical efficacy and hindering the stability of its quality and clinical efficacy in the long term. Therefore, there is an urgent need to develop a specific fingerprint spectrum and quality evaluation method for *Hedyotis diffusa*.

[0006] Existing literature reports that the main components of *Tetrapanax papyrifer* are flavonoids, phenolic acids, and terpenoids, which have certain protective effects against chemically induced liver injury, immune-mediated liver injury, and alcoholic liver injury. All studies have used total extracts for efficacy evaluation, but the specific active components (or components) remain unclear. However, the detection of *Tetrapanax papyrifer* also faces the following problems: ① Different methods are used to detect various types of components, resulting in high mobile phase ratios, high reagent consumption, long experimental times, and low efficiency; ② Only fingerprinting and component content analysis of *Tetrapanax papyrifer* are established, or efficacy evaluations are conducted on a single model organism without combining fingerprint data with efficacy evaluation data from multiple batches of samples, and no relevant quality standards and quality control methods are provided. Therefore, a rapid and convenient method for screening active ingredients, establishing quality standards, and implementing quality control is urgently needed. Summary of the Invention

[0007] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method for constructing a fingerprint spectrum of narrow-baseline aromatic tea vegetables and a quality detection method for its anti-alcoholic liver damage efficacy.

[0008] To achieve the above objectives, the technical solution adopted by the present invention is as follows: In a first aspect, the present invention provides a method for constructing a fingerprint spectrum of a narrow-baseline fragrant tea plant, comprising the following steps: S1. Preparation of the test solution The water extract of the narrow-lined jasmine tea was dissolved in water, filtered, and the test solution was obtained. S2. Preparation of reference solution Caffeic acid, rosmarinic acid, rutin, shampodoside, and isoshampodoside were dissolved in methanol to obtain a reference solution. S3, Determination by high performance liquid chromatography The test solution and the reference solution were injected into the liquid chromatograph and measured with an ultraviolet detector to obtain the chromatograms of the test solution and the reference solution, respectively. The chromatogram of the test solution was identified and calibrated to obtain the fingerprint chromatogram of the narrow-lined tea plant. The chromatographic conditions for the liquid chromatography were as follows: a T3 column was used; mobile phase A was acetonitrile, and mobile phase B was an aqueous formic acid solution; the elution program was as follows: 0–6 min, mobile phase A volume percentage 5% (mobile phase B volume percentage 95%); 6–20 min, mobile phase A volume percentage gradually decreased from 5% to 20% (mobile phase B volume percentage gradually decreased from 95% to 80%); 20–35 min, mobile phase A volume percentage gradually decreased from 20% to 25% (mobile phase B volume percentage gradually decreased from 80% to 75%); 35–38 min, mobile phase A volume percentage was 25% (mobile phase B volume percentage was 75%); 38–48 min, mobile phase A volume percentage gradually decreased from 25% to 5% (mobile phase B volume percentage gradually decreased from 75% to 95%); 48–58 min, mobile phase A volume percentage was 5% (mobile phase B volume percentage was 95%).

[0009] This invention uses five standards—caffeic acid, rosmarinic acid, rutin, shampooside, and isoshampooside—as reference standards for the aqueous extract of *Tea japonica* with a narrow baseline. Acetonitrile (A)-0.1% methanol aqueous solution (B) is used as the mobile phase in high-performance liquid chromatography (HPLC). Combined with a specific elution program, the resulting chromatograms show a greater number of peaks, a higher signal response, a more stable baseline, and better peak resolution. The construction method of this invention exhibits good specificity, precision, repeatability, and accuracy.

[0010] This invention establishes a more universally applicable high-performance liquid chromatography (HPLC) method for the detection of three flavonoids and two phenolic acids, and applies this method to the determination of indicators in samples and product development processes of *Tea japonica* var. *narrow-base*. By optimizing the HPLC detection conditions, accurate determination of caffeic acid, shampodoside, isoshampodoside, rutin, and rosmarinic acid is achieved. Simultaneously, fingerprint chromatograms of 13 batches of aqueous extracts from four production areas in Guangdong Province were established. The chromatograms of the test samples were compared with those of the reference solutions. Based on the known characteristic peaks in the reference solution chromatograms, the characteristic peaks in the test sample chromatograms were identified by retention time. A similarity evaluation system for chromatographic fingerprints of traditional Chinese medicine was used to identify common peaks in the chromatograms of different batches of test samples. The identification of common peaks can be accomplished by comparing them with the chromatograms of the reference solution.

[0011] The narrow-baseline fingerprint spectrum of *Tea japonica* obtained using the construction method of this invention includes 10 common peaks, with peak F4 as the reference peak. The relative retention times of each peak are as follows: After comparison and identification, the above peaks were determined to be caffeic acid (F4), shampodoside (F5), isoshampodoside (F7), rutin (F8), and rosmarinic acid (F10).

[0012] As a preferred embodiment of the construction method of the present invention, in step S1, the preparation method of the aqueous extract of *Tea styracifolia* is as follows: *Tea styracifolia* is extracted by hydrothermal reflux, the filtrate is collected and freeze-dried to obtain the aqueous extract of *Tea styracifolia*.

[0013] In a preferred embodiment of the construction method of the present invention, in step S1, the concentration of the aqueous extract of *Tea styracifolium* in the test sample solution is 10 mg / mL; in step S1, the particle size of the filter membrane used for filtration is 0.45 μm.

[0014] In a preferred embodiment of the construction method of the present invention, in step S3, the T3 chromatographic column is a Hungpu T3 chromatographic column with a column specification of 4.6 μm × 250 μm × 5 μm; the chromatographic conditions are as follows: column temperature is 25~35℃, flow rate is 0.6~1.0 mL / min, and detection wavelength is 250~360 nm.

[0015] As a preferred embodiment of the construction method of the present invention, in step S3, the chromatographic conditions are as follows: column temperature is 30°C, flow rate is 1.0 mL / min, injection volume is 10 μL, and detection wavelength is 290 nm.

[0016] In a preferred embodiment of the construction method described in this invention, in step S3, the mobile phase B is a 0.1% formic acid aqueous solution.

[0017] Secondly, the present invention provides the application of the fingerprint spectrum constructed by the construction method in detecting the quality of narrow-baseline fragrant tea vegetables.

[0018] The fingerprint spectrum of *Tea styracifolium* with narrow-baseline vein pattern was established using the aforementioned construction method. The spectrum-effect relationship was constructed by comparing the common peaks of the fingerprint spectrum with the efficacy against alcoholic liver injury. The quality of the efficacy against alcoholic liver injury of *Tea styracifolium* with narrow-baseline vein pattern was judged based on the proportion of the sum of the peak areas of the characteristic peaks among the common peaks.

[0019] Thirdly, the present invention provides a method for quality testing of the anti-alcoholic liver injury efficacy of the above-mentioned narrow-base fragrant tea leaf, comprising the following steps: A. Using the above construction method, a fingerprint spectrum of narrow-baseline fragrant tea stalks was established; B. Study on the efficacy of narrow-based fragrant tea leaves in preventing alcoholic liver damage; C. Apply grey relational analysis, hierarchical analysis and PLSR analysis to establish the spectral efficacy relationship between the common peaks in the fingerprint spectrum of the narrow-baseline fragrant tea in step A and the anti-alcoholic liver injury efficacy in step B. D. Establish quality standards for testing the quality of narrow-baseline fragrant tea vegetables based on the spectral effect relationship in step C.

[0020] As a preferred embodiment of the quality testing method of the present invention, in step B, the study on the efficacy of *Tea styracifolium* against alcoholic liver injury includes the inhibitory effect of *Tea styracifolium* on alanine aminotransferase (ALT) and aspartate aminotransferase (AST).

[0021] In a preferred embodiment of the quality inspection method of the present invention, step C, the grey relational analysis method specifically includes the following steps: C1. Using the efficacy index data against alcoholic liver injury as a reference sequence, denoted as x. i (t), (i = 1, 2, 3, ..., n; t = 1, 2, 3, ..., k); the peak areas of the common peaks in the narrow-baseline fingerprint spectrum of *Tea japonica* are compared as a sequence, denoted as y j (t), (j=1,2,3,...,n; t=1,2,3,...,k); C2. Perform dimensionless processing on the reference sequence and the comparison sequence; C3. Calculate the grey relational coefficient ξ between the reference sequence and the comparison sequence. ij (t) and correlation β ij .

[0022] In a preferred embodiment of the quality inspection method of the present invention, in step C3, the gray-scale correlation coefficient ξ between the reference sequence and the comparison sequence is... ij The formula for calculating (t) is: , Where  ij (t) represents the absolute difference of the sequences, Δ min (t) represents the minimum difference between the two poles, Δ max (t) represents the maximum difference between the two poles. , , .

[0023] In a preferred embodiment of the quality detection method of the present invention, in step C3, the correlation β between the reference sequence and the comparison sequence is... ij The calculation formula is: .

[0024] In a preferred embodiment of the quality testing method of the present invention, in step C, the weight coefficients of each efficacy index are calculated using the analytic hierarchy process (AHP).

[0025] In a preferred embodiment of the quality detection method of the present invention, in step C, the PLSR analysis method is as follows: Using the peak area of ​​each common peak in the fingerprint spectrum of *Tea japonica* with narrow-base striped veins as X, and the total efficacy data of *Tea japonica* against alcoholic liver injury obtained from analytic hierarchy process (AHP) as Y, a PLSR model is established using partial least squares regression correlation analysis. The regression equation of the PLSR model is: Y = 0.0164X1 + 0.0225X2 + 0.0427X3 + 0.0013X4 - 0.0021X5 - 0.0835X6 + 0.0268X7 + 0.0654X8 - 0.0005X9 + 0.0440X 10 X1-X 10 The peak areas correspond to F1-F10 respectively; that is, X1 represents the peak area of ​​the chromatographic peak with a retention time of 12.757 min, X2 represents the peak area of ​​the chromatographic peak with a retention time of 16.552 min, X3 represents the peak area of ​​the chromatographic peak with a retention time of 21.216 min, X4 represents the peak area of ​​the chromatographic peak with a retention time of 21.832 min, X5 represents the peak area of ​​the chromatographic peak with a retention time of 23.066 min, X6 represents the peak area of ​​the chromatographic peak with a retention time of 23.595 min, X7 represents the peak area of ​​the chromatographic peak with a retention time of 24.580 min, X8 represents the peak area of ​​the chromatographic peak with a retention time of 26.427 min, X9 represents the peak area of ​​the chromatographic peak with a retention time of 27.348 min, and X... 10 The peak area represents the chromatographic peak with a retention time of 35.181 min.

[0026] As a preferred embodiment of the quality detection method of the present invention, in step D, based on the results of grey relational analysis and PLSR analysis in the spectrum-effect relationship in step C, a common peak with a correlation degree greater than 0.6 in the grey relational analysis and a positive correlation with the efficacy of *Tea japonica* against alcoholic liver injury in the PLSR analysis is selected as the characteristic peak. The quality detection method of *Tea japonica* is formulated by calculating the ratio of the sum of the characteristic peak areas to the total peak area.

[0027] As a preferred embodiment of the quality detection method of the present invention, in step D, the quality detection method of the narrow-lined fragrant tea vegetable is as follows: the sum of the peak areas of characteristic peaks F1, F2, F4, F7, F8 and F10 in the fingerprint spectrum accounts for no less than 50.27% of the total area of ​​the chromatographic peaks; F1 represents a chromatographic peak with a retention time of 12.757 min, F2 represents a chromatographic peak with a retention time of 16.552 min, F4 represents a chromatographic peak with a retention time of 21.832 min, F7 represents a chromatographic peak with a retention time of 24.580 min, F8 represents a chromatographic peak with a retention time of 26.427 min, and F10 represents a chromatographic peak with a retention time of 35.181 min.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention provides a method for constructing a fingerprint spectrum of narrow-baseline *Aster tataricus*, which exhibits good specificity, precision, repeatability, and accuracy. The method also has broader applicability. Using this method, the fingerprint spectrum is obtained and combined with grey relational analysis, hierarchical analysis, and PLSR analysis to construct a spectrum-effect relationship with the anti-alcoholic liver injury efficacy, thereby obtaining a dose-effect relationship and establishing a quality standard for narrow-baseline *Aster tataricus*. The quality detection method constructed in this invention overcomes the shortcomings of traditional methods that only measure quality markers by content and the drawbacks of using multiple monomers to verify the efficacy of each component individually. It saves time and reagent costs, improves the screening efficiency of quality markers, effectively establishes sample quality standards, and is beneficial for product development process optimization and product quality control. Attached Figure Description

[0029] Figure 1 These are the chromatograms obtained for the three mobile phases in Example 2 of this invention; Figure 2 These are chromatograms obtained at different detection wavelengths in Example 2 of the present invention; Figure 3 These are the chromatograms obtained for different mobile phase gradients in Example 2 of the present invention; Figure 4 These are the chromatograms obtained for different mobile phase flow rates in Example 2 of the present invention; Figure 5 These are chromatograms obtained at different column temperatures in Example 2 of the present invention. Figure 6 This is the chromatogram of the specificity test in Embodiment 3 of the present invention; Figure 7 This is the chromatogram of the precision test in Example 3 of the present invention; Figure 8 These are the chromatograms of the sample, spiked sample, and reference standard in Example 3 of this invention; Figure 9 The chromatograms and reference chromatograms (R) of 13 batches of water extracts of *Tea styracifolium* from Example 4 of this invention are shown. Figure 10 The results of ALT and AST content and inhibition rate of 13 batches of water extracts of *Tea styracifolium* in Example 5 of this invention are shown. Figure 11 This refers to the PLSR model in Embodiment 6 of the present invention; Figure 12 The result of the permutation test in Example 6 of this invention; Figure 13The PLSR model regression coefficients represent the total efficacy of the aqueous extract of *Tea styracifolium* in Example 6 of this invention. Figure 14 The VIP value represents the total efficacy of the aqueous extract of *Tea styracifolium* in Example 6 of this invention. Figure 15 The test results for ALT, AST, TC, TG, SOD and MDA in Embodiment 7 of the present invention are shown. Detailed Implementation

[0030] To better illustrate the purpose, technical solution, and advantages of the present invention, the present invention will be further described below in conjunction with specific embodiments.

[0031] Unless otherwise specified, all other materials and reagents used in the examples are commercially available.

[0032] The 13 batches of narrow-lined fragrant tea vegetables used in this embodiment of the invention were collected from three batches A1-A3 in Wengyuan County (Area A), Shaoguan City, Guangdong Province; four batches B1-B4 in Raoping County (Area B), Chaozhou City, Guangdong Province; three batches C1-C3 in Tianhe District (Area C), Guangzhou City, Guangdong Province; and three batches D1-D3 in Dawan Town (Area D), Yingde City, Qingyuan City, Guangdong Province.

[0033] Example 1 The method for constructing a fingerprint spectrum of narrow-baseline fragrant tea vegetables includes the following steps: S1. Preparation of the test solution Take 10 g of *Tea styracifolium* (batch number A1), add 10 times the volume of ultrapure water, heat to boiling in a water bath, reflux for 1 h, filter while hot, collect the filtrate, add 10 times the volume of ultrapure water to the residue and extract again, combine the two filtrates, freeze the filtrate in an ultra-low temperature freezer for 12 h, and then freeze-dry the sample for 72 h using a freeze dryer to obtain *Tea styracifolium* water extract freeze-dried powder; weigh 50 mg of *Tea styracifolium* water extract freeze-dried powder and place it in a 5 mL volumetric flask, add an appropriate amount of ultrapure water, place it in an ultrasonic cleaner and sonicate for 30 min, dilute to the mark with ultrapure water, filter through a 0.45 μm microporous membrane, and the filtrate is the test solution; S2. Preparation of reference solution Accurately weigh 5 mg each of five reference standards: caffeic acid, rosmarinic acid, rutin, shampodoside, and isoshampodoside. Dissolve them in methanol and dilute to volume in a 10 mL volumetric flask to prepare reference standard solutions with a concentration of 500 μg / mL. S3, Determination by high performance liquid chromatography The test solution and the reference solution were injected into the liquid chromatograph and measured with an ultraviolet detector to obtain the chromatograms of the test solution and the reference solution, respectively. The chromatogram of the test solution was identified and calibrated to obtain the fingerprint chromatogram of the narrow-lined tea plant. The chromatographic conditions for the liquid chromatography were as follows: a Hungpu T3 column with dimensions of 4.6 μm × 250 μm × 5 μm was used; the column temperature was 30℃; the flow rate was 1.0 mL / min; the injection volume was 10 μL; and the detection wavelength was 290 nm. Mobile phase A is acetonitrile, and mobile phase B is a 0.1% formic acid aqueous solution; Gradient elution, the specific procedure for gradient elution is as follows: 0-6 min, mobile phase A volume percentage 5% (mobile phase B volume percentage 95%); Over 6-20 minutes, the volume percentage of mobile phase A gradually changes from 5% to 20% (the volume percentage of mobile phase B gradually changes from 95% to 80%). Over 20-35 minutes, the volume percentage of mobile phase A gradually changes from 20% to 25% (the volume percentage of mobile phase B gradually changes from 80% to 75%). 35-38 min, the volume percentage of mobile phase A is 25% (the volume percentage of mobile phase B is 75%). Over 38-48 minutes, the volume percentage of mobile phase A gradually decreased from 25% to 5% (while the volume percentage of mobile phase B gradually decreased from 75% to 95%). 48-58 min, mobile phase A volume percentage is 5% (mobile phase B volume percentage is 95%).

[0034] The chromatogram of the test solution is compared with that of the reference solution. Based on the known characteristic peaks in the chromatogram of the reference solution, the corresponding characteristic peaks in the chromatogram of the test solution are identified by retention time. The index components in the chromatogram of the test solution are assigned and located, thereby converting the chromatogram of the test solution into a narrow-baseline fingerprint chromatogram for application.

[0035] Example 2 Determination of chromatographic conditions in the construction of fingerprint chromatograms of narrow-base striped tea leaves.

[0036] 1. Type of mobile phase A fingerprint spectrum of narrow-baseline fragrant tea leaves was constructed according to the construction method of Example 1. The mobile phase of Example 1 was replaced with the following three different mobile phases and tested respectively to study the effect of the mobile phase on the fingerprint spectrum of narrow-baseline fragrant tea leaves.

[0037] Mobile phase 1: Methanol (mobile phase A) + water (mobile phase B); Mobile phase 2: Acetonitrile (mobile phase A) + water (mobile phase B); Mobile phase 3: Acetonitrile (mobile phase A) + 0.1% formic acid aqueous solution (mobile phase B).

[0038] The chromatograms obtained for the three mobile phases are as follows: Figure 1 As shown in the results, under the same conditions, acetonitrile (mobile phase A) + water (mobile phase B) as the mobile phase exhibits better peak elution performance than methanol (mobile phase A) + water (mobile phase B), with more chromatographic peaks, higher signal response, and a relatively stable baseline. Acetonitrile (mobile phase A) + 0.1% formic acid aqueous solution (mobile phase B) as the mobile phase also shows better peak elution performance than acetonitrile (mobile phase A) + water (mobile phase B), with even more chromatographic peaks, a higher overall signal response, and a more stable baseline. Therefore, acetonitrile (mobile phase A) + 0.1% formic acid aqueous solution (mobile phase B) is the better mobile phase.

[0039] 2. Detection wavelength The fingerprint spectrum of narrow-baseline fragrant tea was constructed according to the construction method of Example 1. The detection wavelength of 290 nm in Example 1 was replaced with 254 nm and 360 nm respectively for testing to study the effect of detection wavelength on the fingerprint spectrum of narrow-baseline fragrant tea.

[0040] Chromatograms obtained at different detection wavelengths are as follows Figure 2 As shown in the figure, the results indicate that there are more chromatographic peaks and a higher peak response at a wavelength of 290 nm. Therefore, a detection wavelength of 290 nm is better.

[0041] 3. Mobile phase gradient The fingerprint spectrum of narrow-baseline fragrant tea was constructed according to the construction method of Example 1. The mobile phase gradient of Example 1 was replaced with the following five different mobile phase gradients and tested respectively to study the effect of mobile phase gradient on the fingerprint spectrum of narrow-baseline fragrant tea.

[0042] The specific information for the five different mobile phase gradients T1-T5 is shown in Table 1. T6 is the mobile phase gradient of Example 1. Table 1 The chromatograms obtained for different mobile phase gradients are as follows: Figure 3 As shown, the results indicate that the chromatogram baseline corresponding to the mobile phase gradient of T6 is stable, the chromatographic peak resolution is good, and the detection time is more suitable.

[0043] 4. Flow rate The fingerprint chromatogram of narrow-lined citrus amaranth was constructed according to the construction method of Example 1. The flow rate of 1.0 mL / min in Example 1 was replaced with 0.6 mL / min and 0.8 mL / min respectively to study the effect of flow rate on the fingerprint chromatogram of narrow-lined citrus amaranth.

[0044] The chromatograms obtained for different mobile phase flow rates are as follows: Figure 4 As shown, the results indicate that, under the same column temperature, the overall chromatographic peak elution rate is advanced when the flow rate is 1.0 mL / min, which is more conducive to the elution of compounds in the chromatographic column.

[0045] 5. Column temperature The fingerprint chromatogram of narrow-lined variegated tea leaves was constructed according to the construction method of Example 1. The column temperature of chromatographic column 30℃ in Example 1 was replaced with 25℃ and 35℃ respectively to study the effect of column temperature on the fingerprint chromatogram of narrow-lined variegated tea leaves.

[0046] The chromatograms obtained at different column temperatures are as follows: Figure 5 As shown in the figure, the results indicate that, under the same flow rate, there is no significant difference in the peak elution effect under three different column temperatures. Considering the column's tolerance and wear, 30℃ was ultimately selected as the experimental condition for subsequent experiments.

[0047] Example 3 The fingerprint pattern construction method of Example 1 was investigated methodologically in terms of specificity, precision, and accuracy using five known components: caffeic acid, shampodoside, isoshampodoside, rutin, and rosmarinic acid.

[0048] 1. Exclusivity According to the chromatographic conditions of Example 1, the mixed reference solution of caffeic acid, shampodoside, isoshampodoside, rutin, and rosmarinic acid, the test solution, and the blank solution were analyzed by high performance liquid chromatography.

[0049] The chromatogram of the specificity test is as follows: Figure 6 As shown in the figure, the sample represents the test sample, the standard represents the mixed reference standard, and the blank is methanol; the results show that the blank solution does not have any interfering chromatographic peaks, therefore the specificity of the construction method provided by the present invention meets the requirements.

[0050] 2. Precision Seven sample solutions (referred to as S1-S7) were prepared repeatedly using the same batch of samples (batch number A1) according to the preparation method of the test solution in Example 1. Then, the samples were tested according to the chromatographic conditions in Example 1. The content of the five reference standards corresponding to the seven sample solutions was confirmed by referring to the retention time of the mixed reference standard solution. The RSD% of the content of the five reference standard components was calculated (n=7).

[0051] The chromatogram of the precision test is as follows: Figure 7 As shown in Table 2, the contents of the five reference components and their RSD results in the seven sample solutions are shown in Table 3. The peak areas of the ten common peaks in the seven sample solutions and their RSD results are shown in Table 4. Table 2 Table 3 The results show that the construction method provided by the present invention can stably detect the content of five reference compounds: caffeic acid, shampodoside, isoshampodoside, rutin, and rosmarinic acid. The peak area RSD values ​​of the five reference compounds (peak numbers F4, F5, F7, F8, and F10) are all less than 10%, indicating that the method has good repeatability and high precision.

[0052] Meanwhile, during the precision test, it was also found that in addition to the five reference standards, five common unknown components were also stably present in the samples. Figure 7 The peak numbers F1-F3, F6 and F9 correspond to unknown components found in the samples, which are exclusive components of the narrow-base patterned tea plant.

[0053] 3. Accuracy The accuracy of the construction method in Example 1 was examined by spiked recovery tests on the samples.

[0054] Seven samples were prepared in accordance with the preparation method of the test solution in Example 1. Caffeic acid, shampodoside, isoshampodoside, rutin, and rosmarinic acid were added to the samples at specific concentrations to prepare spiked samples. Then, the samples were tested according to the chromatographic conditions in Example 1, and the spiked recovery rate of each reference standard was calculated.

[0055] Table 4 shows the spiked recovery information and the spiked recovery rate results. The chromatograms of the samples, spiked samples, and reference standards are shown in the figure. Figure 8 As shown, Table 4 The results showed that the spiked recoveries of each reference standard were between 90% and 110%, meeting the requirements of GB / T27417, indicating that the construction method was highly accurate and the detection results were accurate.

[0056] Example 4 Using the fingerprint chromatogram construction method of Narrow-lined Fragrant Tea Extract in Example 1, fingerprint chromatograms of 13 aqueous extract samples from 13 batches (A1-A3, B1-B4, C1-C3, and D1-D3) were determined, and the corresponding fingerprint chromatograms of the test samples were obtained. The chromatographic peak data of the 13 batches of samples were exported as CDF files and imported into the 2012 version of the Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System. Reference chromatograms were set, multi-point correction was performed, peak matching was conducted, a control chromatogram was generated, and finally, fingerprint chromatograms were established. Similarity data such as similarity were calculated. The similarity of the fingerprint chromatograms of the 13 batches of Narrow-lined Fragrant Tea Extract aqueous extracts is shown in Table 5. The chromatograms of the 13 batches of Narrow-lined Fragrant Tea Extract aqueous extracts and the control chromatograms are shown in Table 5. Figure 9 As shown, Table 5 The results showed that the similarity data of the 13 batches of water extracts of the narrow-lined tea plant were mostly above 0.9, which met the fingerprint similarity requirements.

[0057] The retention times and RSD values ​​of the common peaks F1-F10 of the aqueous extracts of 13 batches of narrow-base striped tea leaves are shown in Table 6. Table 6 The results showed that the retention times of 10 target peaks (F1-F10) in 13 batches of samples were stable, and the RSD of the retention times was less than 0.5%, which were common peaks in the fingerprint spectrum of narrow-baseline fragrant tea.

[0058] Among the common peaks in the fingerprint spectrum of the narrow-baseline pattern of *Tea japonica*, the retention times were as follows: F1 was 12.757 min, F2 was 16.552 min, F3 was 21.216 min, F4 was 21.832 min, F5 was 23.066 min, F6 was 23.595 min, F7 was 24.580 min, F8 was 26.427 min, F9 was 27.348 min, and F10 was 35.181 min.

[0059] Using F4 as the reference peak, the relative retention times are as follows: F1 = 0.584, F2 = 0.758, F3 = 0.972, F4 = 1.000, F5 = 1.057, F6 = 1.081, F7 = 1.126, F8 = 1.210, F9 = 1.253, and F10 = 1.611.

[0060] After comparison and identification, the above peaks were determined to be caffeic acid (F4), shampodoside (F5), isoshampodoside (F7), rutin (F8), and rosmarinic acid (F10).

[0061] Example 5 Efficacy test of narrow-base fragrant tea in preventing alcoholic liver damage.

[0062] Wild-caught AB-type zebrafish were cultured in embryo culture medium containing NaCl, KCl, CaCl2, and NaHCO3. On day 4, the zebrafish were randomly divided into 7 groups: one control group and six treatment groups. The control group was cultured in embryo culture medium, while the treatment groups received different concentrations of aqueous extract of *Tea sibirica dahurica* (146, 292, 438, 584, 867, and 1168 μg / mL). After 96 h of treatment, the survival rate of the zebrafish was calculated. The survival rates of the seven groups were 96.67%, 93.33%, 86.67%, 86.67%, 83.33%, 70%, and 40%, respectively. A concentration of 146 μg / mL of aqueous extract of *Tea sibirica dahurica* was selected as the optimal concentration.

[0063] The cultured zebrafish were randomly divided into a control group, a model group, and a treatment group (13 batches of *Tea sibirica dahurica* aqueous extract). The control group and the model group were treated with embryo culture medium. The treatment group was treated with 146 μg / mL *Tea sibirica dahurica* aqueous extract added to the embryo culture medium for 16 h. The model group and the treatment group were treated with 2% ethanol prepared from the embryo culture medium for 32 h. After the culture was completed, the contents of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in zebrafish were detected according to the kit method, and the ALT and AST inhibition rates were calculated.

[0064] The ALT and AST contents and their inhibition rates of 13 batches of water extracts from *Tea styrax* are shown in Table 7 and 8. Figure 10 As shown, Table 7 Example 6 A quality evaluation method for the prevention of alcoholic liver injury by narrow-base jasmine tea based on spectrum-effect relationship.

[0065] 1. Hierarchical Analysis To make the efficacy evaluation indicators clearer, a comprehensive evaluation was conducted on two transaminase inhibition indicators (ALT inhibition rate and AST inhibition rate) of *Tea sibiricum stenoptera*. Here, 1 indicates that both are equally important, 3 indicates that one is slightly important, and 5 indicates that one is significantly important. A spectrum-effect profile was constructed using the inhibition rates in Table 7 of Example 5. Based on the above, subjective scoring was performed on the two efficacy indicators, resulting in the pairwise comparison priority matrix for the two efficacy indicators in Table 8. Table 8 Based on the arithmetic mean method, the sum of each column of the matrix in Table 8 is calculated. After data normalization, the row sum is calculated to obtain the initial weight coefficients for the two efficacy indicators in Table 9. Table 9 The initial weight coefficients were summed, and the data results were then normalized to obtain the normalized weight coefficients for the two efficacy indicators in Table 10. Table 10 The total efficacy data of 13 batches of *Tea sibiricum* in inhibiting transaminase were obtained based on the normalized weighting coefficients, as shown in Table 11. Table 11 2. Grey Relational Analysis (GRA) The efficacy index was selected as the reference sequence, denoted as x. i (t), (i = 1, 2, 3, ..., n; t = 1, 2, 3, ..., k); the peak areas of the common peaks in the fingerprint spectrum are compared as a sequence, denoted as y j (t), (j=1,2,3,...,n; t=1,2,3,...,k).

[0066] The average efficacy results of water extracts from 13 batches of *Tea styrax chinensis* are shown in Table 12. Table 12 The mean peak area of ​​the common peak in 13 batches of narrow-baseline fragrant tea vines is shown in Table 13. Table 13 Calculate the gray-scale correlation coefficient ξ ij (t), where ξ ij (t) is x i For y i The correlation coefficient; ρ refers to the resolution coefficient, which is usually taken as 0.5.

[0067] Where  ij (t) represents the absolute difference of the sequences, Δ min (t) represents the minimum difference between the two poles, Δ max (t) represents the maximum difference between the two poles. Calculate the correlation β ij , The correlation between the peaks under the efficacy indicators in Table 14 was obtained through GRA analysis. Table 14 The results showed that the correlation coefficient of each peak was greater than 0.5, indicating that each common peak had a different degree of inhibitory effect on the total efficacy, and also indicating that the efficacy was the result of the synergistic effect of the various components. The correlation coefficient between the total efficacy and the common peak was in the following order: F1>F5>F4>F2>F7>F10>F9>F8>F6>F3.

[0068] Using the peak area of ​​each common peak in the fingerprint spectrum of *Tea japonica* with narrow-baseline veins as X, and the total efficacy data of *Tea japonica* in regulating transaminase obtained from hierarchical analysis as Y, a partial least squares regression (PLSR) correlation analysis was performed using an online cloud platform to establish a PLSR model. The PLSR model is as follows: Figure 11 As shown, the fitting parameters R²Y = 0.559 and Q² = 0.434, indicating that the model is stable and has good predictive ability. The model was subjected to 200 permutation tests, and the results are as follows: Figure 12 As shown, the intercept of the R2 regression line with the Y-axis is less than 0.4, and the intercept of the Q2 regression line with the Y-axis is less than 0, indicating that there is no overfitting phenomenon and the model results are reliable.

[0069] The regression equation for this model is as follows: Y=0.0164X1+0.0225X2+0.0427X3+0.0013X4-0.0021X5-0.0835X6+0.0268X7+0.0654X8-0.0005X9+0.0440X 10 .

[0070] X1 represents the peak area of ​​the chromatographic peak with a retention time of 12.757 min, X2 represents the peak area of ​​the chromatographic peak with a retention time of 16.552 min, X3 represents the peak area of ​​the chromatographic peak with a retention time of 21.216 min, X4 represents the peak area of ​​the chromatographic peak with a retention time of 21.832 min, X5 represents the peak area of ​​the chromatographic peak with a retention time of 23.066 min, X6 represents the peak area of ​​the chromatographic peak with a retention time of 23.595 min, X7 represents the peak area of ​​the chromatographic peak with a retention time of 24.580 min, X8 represents the peak area of ​​the chromatographic peak with a retention time of 26.427 min, and X9 represents the peak area of ​​the chromatographic peak with a retention time of 27.348 min. 10The peak area represents the chromatographic peak with a retention time of 35.181 min.

[0071] Partial least squares (PLS) peak area analysis showed that the regression coefficients of the 10 independent variables X on Y were both positive and negative, indicating both positive and negative correlations. Since the transaminase inhibition efficacy data are positively correlated with overall efficacy, peaks with positive regression coefficients contribute to efficacy: F1, F2, F3, F4, F7, F8, and F10 are positively correlated with transaminase inhibition efficacy indicators, representing the transaminase-inhibiting component group. That is, as the content of these compounds increases, the inhibitory effect on ALT and AST strengthens. The PLS regression coefficients of the total efficacy of the aqueous extract of *Tea japonica* var. *narrow-base* are shown in the figure. Figure 13 As shown; the VIP value of the total efficacy of the water extract of *Tea jasminoides* with narrow-base lines is as follows: Figure 14 As shown, the variable importance projection (VIP) value is an important indicator reflecting the ability of independent variables to explain the dependent variable. Variables with a VIP value greater than 1.0 contribute significantly to the model and are considered important indicators for activity evaluation. Combining the regression coefficient and VIP value, F8 and F10 were ultimately identified as potential transaminase inhibitory components in the PLSR model.

[0072] Based on the GRA and PLSR results, common peaks with a correlation coefficient greater than 0.6 in the GRA and a positive correlation with the efficacy of transaminase inhibition rate in the PLSR analysis were selected as characteristic peaks: F1, F2, F4, F7, F8, and F10. The sum of their peak areas was denoted as A, and the percentage A% of the total peak area was calculated. Table 15 shows the A% and percentage of 13 batches of narrow-base striped tea leaves. Table 15 The results showed that the percentage of amino acid A in the total peak area of ​​the 13 batches of *Tetracentron sinense* ranged from 32.17% to 60.57%. Combined with the activity data, when the percentage of amino acid A in the total peak area of ​​*Tetracentron sinense* was 50.27% or higher, the inhibitory effect on transaminase was better, and the total efficacy remained above 50%, indicating better overall efficacy. This provides a reference for the industrial production of *Tetracentron sinense* water extract with excellent and stable efficacy against alcoholic liver injury.

[0073] In summary, the quality evaluation method of this invention, based on spectral efficacy and combining the fingerprint spectrum of narrow-lined *Tea japonica* with indicators of its anti-alcoholic liver injury efficacy, is as follows: A Hungpu T3 column (4.6 μm × 250 μm × 5 μm) was used; the column temperature was 30℃; the flow rate was 1.0 mL / min; the injection volume was 10 μL; the detection wavelength was 290 nm; the mobile phase was acetonitrile (A) - 0.1% formic acid aqueous solution (B), with gradient elution: 0-6 min, mobile phase A volume percentage 5% (mobile phase B volume percentage 95%); 6-20 min, mobile phase A volume percentage gradually decreased from 5% to 20% (mobile phase B volume percentage gradually decreased from 95% to 80%); 20-35 min, mobile phase A volume percentage gradually decreased from 20% to 25% (mobile phase B volume percentage gradually decreased from 80% to 75%); 35-38 min, mobile phase A volume percentage was 25% (mobile phase B volume percentage was 75%); 38-48 min, mobile phase A volume percentage was 25% (mobile phase B volume percentage was 75%); At 48-58 min, the volume percentage of mobile phase A gradually changes from 25% to 5% (the volume percentage of mobile phase B gradually changes from 75% to 95%); at 48-58 min, the volume percentage of mobile phase A is 5% (the volume percentage of mobile phase B is 95%). High-performance liquid chromatography (HPLC) is used to detect the aqueous extract of *Tea japonica* with a narrow base. The sum of the peak areas of the characteristic peaks (chromatographic peaks F1, F2, F4, F7, F8, and F10) in the common peaks accounts for no less than 50.27% of the total peak area. F1 represents the chromatographic peak with a retention time of 12.757 min, F2 represents the chromatographic peak with a retention time of 16.552 min, F4 represents the chromatographic peak with a retention time of 21.832 min, F7 represents the chromatographic peak with a retention time of 24.580 min, F8 represents the chromatographic peak with a retention time of 26.427 min, and F10 represents the chromatographic peak with a retention time of 35.181 min.

[0074] This invention studies the correlation between the fingerprint spectrum of *Tea styracifolium* and its anti-alcoholic liver injury efficacy. Its anti-alcoholic liver injury efficacy can be directly predicted through its fingerprint spectrum, thereby judging the quality of *Tea styracifolium*.

[0075] Example 7 Validation of the efficacy of *Smilax glabra* in preventing alcoholic liver injury. Based on zebrafish assay results, water extract of batch B1 of *Smilax glabra* was selected and administered in two dose groups: a low-dose group and a high-dose group. The efficacy was validated in a mouse model. Sixty C57BL / 6 mice (20±2g) were randomly divided into five groups according to body weight: a blank control group (saline + control liquid diet), a model control group (saline + alcohol liquid diet), a low-dose water extract group (146 mg / kg water extract + alcohol liquid diet), a high-dose water extract group (292 mg / kg water extract + alcohol liquid diet), and a positive control group (70 mg / kg silymarin + alcohol liquid diet). Mice were sacrificed at the end of the third week, and serum and liver samples were collected to test alcoholic liver injury markers such as ALT, AST, TC, TG, SOD, and MDA. The test results for ALT, AST, TC, TG, SOD, and MDA are as follows: Figure 15 As shown, the results indicated that compared with the model control group, the levels of ALT and AST in the treatment group were significantly lower (p < 0.01); compared with the model control group, the levels of SOD in the high-dose group were significantly lower (p < 0.05); for TC and TG, the levels in the low-dose group were significantly lower (p < 0.05), while those in the high-dose group were significantly lower (p < 0.001); and for MDA, the levels were significantly lower (p < 0.01). This further demonstrates that the water extract of *Tea sibirica dahurica* (batch number B1) does indeed have the effect of inhibiting alcoholic liver injury and has a good hepatoprotective effect. Furthermore, the hepatoprotective effect shows a certain dose-related correlation, meaning that the higher the concentration, the better the effect.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the scope of protection of the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A method for constructing a fingerprint spectrum of narrow-baseline fragrant tea vegetables, characterized in that, Includes the following steps: S1. Preparation of the test solution The water extract of the narrow-lined jasmine tea was dissolved in water, filtered, and the test solution was obtained. S2. Preparation of reference solution Caffeic acid, rosmarinic acid, rutin, shampodoside, and isoshampodoside were dissolved in methanol to obtain a reference solution. S3, Determination by high performance liquid chromatography The test solution and the reference solution were injected into the liquid chromatograph and measured with an ultraviolet detector to obtain the chromatograms of the test solution and the reference solution, respectively. The chromatogram of the test solution was identified and calibrated to obtain the fingerprint chromatogram of the narrow-lined tea plant. The chromatographic conditions for the liquid chromatography were as follows: a T3 column was used; mobile phase A was acetonitrile, and mobile phase B was an aqueous formic acid solution; the elution program was as follows: 0-6 min, mobile phase A volume percentage 5%; 6-20 min, mobile phase A volume percentage gradually changed from 5% to 20%; 20-35 min, mobile phase A volume percentage gradually changed from 20% to 25%; 35-38 min, mobile phase A volume percentage 25%; 38-48 min, mobile phase A volume percentage gradually changed from 25% to 5%; 48-58 min, mobile phase A volume percentage 5%.

2. The construction method as described in claim 1, characterized in that, In step S1, the preparation method of the aqueous extract of *Tea styracifolia* is as follows: *Tea styracifolia* is extracted by hydrothermal reflux, the filtrate is collected and freeze-dried to obtain the aqueous extract of *Tea styracifolia*. And / or, in step S1, the concentration of the aqueous extract of *Tea styracifolium* in the test solution is 10 mg / mL; And / or, in step S1, the filter membrane has a particle size of 0.45 μm; And / or, in step S3, the T3 chromatographic column is a Hungpu T3 chromatographic column, and the specifications of the chromatographic column are 4.6 μm × 250 μm × 5 μm; And / or, in step S3, the chromatographic conditions are: column temperature 25~35℃, flow rate 0.6~1.0 mL / min, and detection wavelength 250~360 nm; And / or, in step S3, the mobile phase B is a 0.1% formic acid aqueous solution.

3. The application of the fingerprint spectrum constructed by the construction method of claim 1 or 2 in detecting the quality of narrow-baseline fragrant tea vegetables.

4. A quality testing method for the anti-alcoholic liver damage efficacy of *Tea japonica* with narrow-base stripes, characterized in that... Includes the following steps: A. Establish a fingerprint spectrum of narrow-baseline fragrant tea stalks using the construction method described in claim 1 or 2; B. Study on the efficacy of narrow-based fragrant tea leaves in preventing alcoholic liver damage; C. Apply grey relational analysis, hierarchical analysis and PLSR analysis to establish the spectral efficacy relationship between the common peaks in the fingerprint spectrum of the narrow-baseline fragrant tea in step A and the anti-alcoholic liver injury efficacy in step B. D. Establish quality standards for testing the quality of narrow-baseline fragrant tea vegetables based on the spectral effect relationship in step C.

5. The quality inspection method as described in claim 4, characterized in that, In step B, the study on the efficacy of *Tea styracifolium* against alcoholic liver injury includes the inhibitory effects of *Tea styracifolium* on alanine aminotransferase and aspartate aminotransferase.

6. The quality inspection method as described in claim 4, characterized in that, In step C, the grey relational analysis method specifically includes the following steps: C1. Using the efficacy index data against alcoholic liver injury as a reference sequence, denoted as x. i (t), (i = 1, 2, 3, ..., n; t = 1, 2, 3, ..., k); the peak areas of the common peaks in the narrow-baseline fingerprint spectrum of *Tea japonica* are compared as a sequence, denoted as y j (t), (j=1,2,3,...,n; t=1,2,3,...,k); C2. Perform dimensionless processing on the reference sequence and the comparison sequence; C3. Calculate the grey relational coefficient ξ between the reference sequence and the comparison sequence. ij (t) and correlation β ij .

7. The quality inspection method as described in claim 4, characterized in that, In step C, the weight coefficients of each efficacy index are calculated using the analytic hierarchy process (AHP).

8. The quality inspection method as described in claim 4, characterized in that, In step C, the PLSR analysis method is as follows: Using the peak area of ​​each common peak in the fingerprint spectrum of *Tea japonica* with narrow-base striped veins as X, and the total efficacy data of *Tea japonica* against alcoholic liver injury obtained from hierarchical analysis as Y, a PLSR model is established using partial least squares regression correlation analysis. The regression equation of the PLSR model is: Y = 0.0164X1 + 0.0225X2 + 0.0427X3 + 0.0013X4 - 0.0021X5 - 0.0835X6 + 0.0268X7 + 0.0654X8 - 0.0005X9 + 0.0440X 10 .

9. The quality inspection method according to any one of claims 4 to 8, characterized in that, In step D, based on the results of grey relational analysis and PLSR analysis in the spectrum-effect relationship in step C, the common peak with a correlation degree greater than 0.6 in the grey relational analysis and a positive correlation with the efficacy of narrow-base striped tea leaves against alcoholic liver injury in the PLSR analysis is selected as the characteristic peak. The quality detection method of narrow-base striped tea leaves is formulated by calculating the ratio of the sum of the characteristic peak areas to the total peak area.

10. The quality inspection method as described in claim 9, characterized in that, In step D, the method for detecting the quality of narrow-baseline fragrant tea leaves is as follows: the sum of the peak areas of characteristic peaks F1, F2, F4, F7, F8 and F10 in the fingerprint spectrum accounts for no less than 50.27% of the total area of ​​the chromatographic peaks; F1 represents a chromatographic peak with a retention time of 12.757 min, F2 represents a chromatographic peak with a retention time of 16.552 min, F4 represents a chromatographic peak with a retention time of 21.832 min, F7 represents a chromatographic peak with a retention time of 24.580 min, F8 represents a chromatographic peak with a retention time of 26.427 min, and F10 represents a chromatographic peak with a retention time of 35.181 min.

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