Detection method of golden flower fungus fermentation in Fuzhuan tea based on liquid chromatography

Abstract

The present application relates to the field of liquid chromatography detection technology, and in particular to a method for detecting golden flower fungus fermentation in Fuzhuan tea based on liquid chromatography. The method comprises: extracting a chromatographic curve of a sample; determining the possibility of deviation according to the distance and height of the chromatographic curve peaks, and then determining the deviation degree of the peaks in combination with the peak width, taking the mean to obtain the deviation degree of the sample chromatographic curve; determining the deviation difference of the peaks according to the deviation degree difference of the peaks of one component and all other components in the sample and the position difference of different samples with the same component; determining the deviation difference of the peaks based on the deviation difference of the peaks, correcting the deviation degree of the chromatographic curve, and then correcting the chromatographic curve; calculating the component concentration based on the corrected chromatographic curve, and then completing the fermentation detection. The present application corrects the peaks, thereby improving the accuracy of the fermentation detection.

Description

Technical Field

[0001] The present application relates to the field of liquid chromatography technology, and in particular to a method for detecting golden flower fungus fermentation in Fuzhuan tea based on liquid chromatography. Background Art

[0002] The fermentation of Psoralea corylifolia in Fuzhuan tea is a key source of its unique flavor and health benefits. During the production of Fuzhuan tea, the introduction and cultivation of Psoralea corylifolia promotes the transformation of organic matter in the tea leaves, producing unique flavor and nutritional components. This unique fermentation process allows for the optimal release of nutrients from the tea leaves, enhancing the drinker's health experience. Traditional methods for detecting Psoralea corylifolia rely on microbial culture techniques, which are time-consuming and require a strict operating environment. Liquid chromatography, particularly high-performance liquid chromatography (HPLC), has become an essential tool for detecting Psoralea corylifolia fermentation in Fuzhuan tea due to its high separation efficiency and sensitivity. Liquid chromatography can effectively separate and quantify metabolites associated with Psoralea corylifolia fermentation in tea leaves, such as polyphenols and amino acids, thereby assessing the extent and quality of fermentation.

[0003] When measuring the content of metabolites in Fuzhuan tea during the fermentation process of golden flower fungus by high-performance liquid chromatography, because many components of the metabolites produced by fermentation are relatively similar, such as various glutamic acid compounds, polyphenol compounds, etc., the distribution of various components in the obtained liquid chromatography image is relatively dense, resulting in tailing of the spectral peaks; then when determining the type and content of the components, they will affect each other, affecting the accuracy of the image component determination. Summary of the Invention

[0004] In order to solve the technical problem of low detection accuracy caused by dense distribution of ingredients, this application provides a liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea. The technical solution adopted is as follows:

[0005] The present application proposes a method for detecting golden flower fungus fermentation in Fuzhuan tea based on liquid chromatography, which comprises the following steps:

[0006] Collect samples at different fermentation stages, extract the samples, and then use chromatography to obtain chromatographic curves of the samples;

[0007] Determining the possibility of peak shift based on the distance between adjacent peaks and the height of the peaks in the chromatographic curve; obtaining the width and height of the peaks, and determining the degree of peak shift based on the ratio of the width and height and the possibility of shift; and obtaining the degree of peak shift based on the average of the degree of shift and the width of all peaks;

[0008] Determine the spectral peak shift variability of each component based on the difference in the degree of shift between the spectral peak corresponding to each component of the sample and all spectral peaks in the sample, as well as the difference in the position of the spectral peaks of different samples under each component; determine the error coefficient based on the difference between the spectral peak shift variability of each component and the spectral peak shift variability of all components; correct the shift degree of the sample chromatographic curve based on the error coefficient, and then correct the chromatographic curve;

[0009] The peak area of ​​the spectral peak is obtained based on the corrected chromatographic curve, and the concentration of the component is calculated based on the peak area of ​​the spectral peak by comparing the sample and the standard, thereby completing the fermentation detection.

[0010] In the above scheme, the present application first sets the chromatographic column to obtain the chromatographic curve of the sample, and in view of the phenomenon of tailing of the spectral peak, determines the possibility of offset based on the height and distance of the spectral peak, and then calculates the offset degree of the chromatographic curve based on the offset possibility; thereby determining the overall offset of the spectral peak; and because the different contents of components in different stages may cause the offset situation to not reflect the overall offset of the spectral peak, the spectral peak offset of different components in different stages is combined to determine the error coefficient, and the curve is corrected after correcting the spectral peak offset coefficient, and then the concentration is calculated to complete the fermentation detection; wherein, by controlling the variables, the overall spectral peak offset is calculated more accurately based on the spectral peak offset degree of the same component in different stages and different components in the same stage, so that the final fermentation detection effect is more accurate.

[0011] In one embodiment, the column temperature of the chromatographic column selected in the chromatography method is set to 30-35° C., the flow rate is 0.8-1.0 mL / min, and the injection volume is 10-20 μL.

[0012] In one embodiment, the shift probability of the spectral peak is inversely proportional to the distance between adjacent spectral peaks and is directly proportional to the height of the spectral peak.

[0013] In one embodiment, the width of the spectrum peak is the distance between the leftmost and rightmost points of the spectrum peak, and the height of the spectrum peak is the maximum value of the spectrum peak.

[0014] In one embodiment, the method for determining the degree of shift of the spectrum peak based on the ratio of width to height and the shift probability is:

[0015] The ratio of the width of the spectrum peak to the height of the spectrum peak is recorded as the first ratio, and the product of the first ratio and the shift possibility of the spectrum peak is recorded as the shift degree of the spectrum peak.

[0016] In one embodiment, the method for obtaining the degree of deviation of the chromatographic curve according to the average of the degree of deviation and width of all spectral peaks is:

[0017] , Indicates the degree of shift of the j-th spectral peak, represents the number of spectral peaks, represents the mean width of all peaks, Indicates the degree of sample deviation.

[0018] In one embodiment, the spectrum peak shift difference is positively correlated with the shift degree difference and the position difference, respectively.

[0019] In one embodiment, the method for determining the error coefficient based on the difference between the peak shift difference of each component and the peak shift difference of all components is:

[0020] , represents the difference in the peak shift of the rth component, represents the mean of the peak shift differences of all components, Indicates the quantity of ingredients, Represents the spectrum peak error coefficient.

[0021] In one embodiment, the method of correcting the deviation of the sample chromatographic curve based on the error coefficient and then correcting the chromatographic curve is:

[0022] , Indicates the degree of deviation of the chromatographic curve of the sample to be tested. represents the linear normalization function, represents the spectrum peak error coefficient, Indicates the degree of deviation of the sample chromatographic curve after correction;

[0023] The product of the width of each spectral peak and the degree of deviation of the corrected sample chromatographic curve is used as the width of the corrected chromatographic curve, thereby completing the correction of the chromatographic curve.

[0024] In one embodiment, the method for comparing the sample and the standard to calculate the concentration of the component based on the peak area of ​​the spectrum peak is:

[0025] Draw a standard curve based on the different concentrations of the standard and its corresponding peak area; obtain the intercept and slope of the standard curve;

[0026] The expression for the concentration of sample components is:

[0027] , Indicates the peak area of ​​each component in the sample corresponding to the spectral peak, represents the knot intercept of the standard curve, represents the slope of the standard curve, Indicates the concentration of a component.

[0028] The beneficial effects of this application are:

[0029] The present application first sets the chromatographic column to obtain the chromatographic curve of the sample, and determines the possibility of offset based on the height and distance of the spectral peak in response to phenomena such as tailing of the spectral peak. Then, the offset degree of the chromatographic curve is calculated based on the offset possibility; thereby determining the overall offset of the spectral peak; and because the different contents of components in different stages may cause the offset situation to not reflect the overall offset of the spectral peak, the error coefficient is determined by combining the spectral peak offset of different components in different stages, and the curve is corrected after correcting the spectral peak offset coefficient, and then the concentration is calculated to complete the fermentation detection; wherein, by controlling the variables, the overall spectral peak offset is calculated more accurately based on the spectral peak offset degree of the same component in different stages and different components in the same stage, so that the final fermentation detection effect is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0031] Figure 1 This is a flow chart of a liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea, provided in one embodiment of the present application. DETAILED DESCRIPTION

[0032] In order to further illustrate the technical means and effects adopted by this application to achieve the predetermined invention purpose, the following, in combination with the accompanying drawings and preferred embodiments, describes in detail the specific implementation methods, structures, features and effects of the method for detecting golden flower fungus fermentation in Fuzhuan tea based on liquid chromatography proposed in this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0033] 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.

[0034] Example of a method for detecting golden flower fungus fermentation in Fuzhuan tea based on liquid chromatography:

[0035] The specific scheme of the liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea provided by this application is described in detail below with reference to the accompanying drawings.

[0036] See also Figure 1 , which shows a flow chart of a method for detecting golden flower fungus fermentation in Fuzhuan tea based on liquid chromatography provided by one embodiment of the present application, the method comprising the following steps:

[0037] Step S001: collect samples and obtain their chromatographic curves.

[0038] Representative samples were collected from different stages of Fuzhuan tea fermentation (such as before piling, early flowering, and maturity), quickly freeze-dried, crushed to below 60 mesh, and stored at low temperature and away from light to reduce component degradation.

[0039] The crushed sample is then subjected to extraction of various components, specifically organic acids, polyphenols, and flavonoids in this example. After extraction, each component is processed using HPLC (high performance liquid chromatography), and a chromatographic curve of the sample is obtained using a chromatographic column and detector. The horizontal axis of the chromatographic curve represents time, and the vertical axis represents signal response value.

[0040] The column temperature of the selected chromatographic column was set at 30-35°C, the flow rate was 0.8-1.0 mL / min, and the injection volume was 10-20 μL.

[0041] At this point, the chromatographic curve of the sample in Fuzhuan tea was obtained.

[0042] Step S002: Determine the possibility of shift according to the distance and height of the chromatographic peaks, and then determine the degree of shift of the peaks in combination with the peak width, and take the average to obtain the degree of shift of the sample chromatographic curve.

[0043] The core process of Fuzhuan tea lies in the fermentation of the "Golden Flower Fungus," a fungus that is driven by Eurotium cristatum. Within the pressed tea bricks, temperature, humidity, and compactness are controlled to encourage the germination of the fungus' spores and the formation of golden cleistothecia. During fermentation, the fungus secretes enzymes such as amylase and oxidase, catalyzing the oxidation of tea polyphenols into theaflavins while simultaneously breaking down starch into simple sugars, imparting the tea's characteristic rich, sweet, and "fungus-flower aroma." The metabolic activity of the Golden Flower Fungus also transforms the astringency of coarse, aged tea leaves and exerts beneficial effects by regulating intestinal flora. Its content is positively correlated with the quality of Fuzhuan tea.

[0044] Therefore, testing for golden flower fungi during the fermentation process of Fuzhuan tea is crucial. The number and activity of golden flower fungi (Eurocystis cristatum) directly impact the sensory quality of Fuzhuan tea. The enzymes produced by its metabolism convert tea polyphenols, starch, and other components, creating its unique "flowery fungi aroma" and mellow taste. Testing ensures that fermentation reaches acceptable levels. Furthermore, uncontrolled temperature and humidity in the fermentation environment can foster the growth of undesirable bacteria (such as Aspergillus niger and Penicillium). Testing can promptly identify contamination risks and prevent toxic metabolites from harming consumer health. Furthermore, the beneficial effects of golden flower fungi (such as lipid-lowering and blood sugar regulation) are closely related to their viable bacterial count. Quantitative testing verifies the health benefits of the product and provides data support for process optimization.

[0045] When detecting the golden flower fungus and its products during the fermentation process of Fuzhuan tea, because many components of the metabolites produced by fermentation are relatively similar, such as various glutamic acid compounds, polyphenol compounds, etc., the distribution of various components in the obtained liquid chromatography image is relatively dense, resulting in tailing of the spectral peaks.

[0046] Glutamate compounds (such as glutamine and N-acetylglutamine) and polyphenols (such as tea polyphenols and their oxidation product, theabrownin) share similar polar groups, resulting in overlapping retention times on reversed-phase columns, leading to peak broadening and tailing. Amylases and cellulases secreted by the golden flower fungus continuously decompose substrates, causing the coexistence of intermediate metabolites (such as monosaccharide derivatives) and end products. These substances have similar UV absorption characteristics (for example, the absorption of tea polyphenols and flavonoids overlaps at 280 nm), leading to baseline elevation and peak shoulder interference.

[0047] Therefore, if the spectral peak changes, the retention time of the compound will deviate from the expected value, interfering with qualitative judgment. Moreover, if the spectral peak shifts, the originally separated component peaks may overlap, reducing the chromatographic resolution.

[0048] Therefore, in order to accurately analyze the measured components, the obtained HPLC data needs to be offset corrected; when performing peak correction, it is necessary to analyze the changes in the peaks at different fermentation stages, obtain the degree of peak offset, and then perform correction based on the degree of offset.

[0049] For any fermentation stage, the chromatographic curve of the sample in the fermentation stage is obtained, and the spectral peaks in the chromatographic curve are obtained. If the distance between one spectral peak and its adjacent spectral peak is closer and the height of the spectral peak is higher, the spectral peak is more susceptible to interference. Therefore, the possibility of spectral peak offset is determined based on the distance between adjacent spectral peaks and the height of the spectral peak.

[0050] The shift probability of the spectral peak is inversely proportional to the distance between adjacent spectral peaks and is directly proportional to the height of the spectral peak.

[0051] It should be noted that positive correlation means that when one variable increases, the other variable also increases, and the two variables change in the same direction. When one variable changes from large to small or from small to large, the other variable also changes from large to small or from small to large; the specific relationship is determined by actual application and this application does not impose any special restrictions.

[0052] Preferably, in this embodiment, the expression of the offset possibility is:

[0053] , The horizontal coordinate of the jth spectral peak maximum is represented by The horizontal coordinate of the maximum value of the j+1th spectrum peak is represented by represents the peak value of the jth spectrum peak, represents the linear normalization function, represents the shift probability of the jth spectral peak.

[0054] Among them, the shifted peak will affect the shape of other peaks, causing the width of other peaks to increase, the steepness of the peak to decrease, and the shapes of adjacent peaks to change; if there is no shift, the steepness of the peak is greater and the shape will not change significantly.

[0055] For each spectral peak, its leftmost and rightmost points are taken as the minimum points of the spectral peak, the distance between these two points is taken as the width of the spectral peak, and the maximum value of the spectral peak is taken as the height of the spectral peak; the degree of deviation of the spectral peak is determined based on the ratio of the width to the height of the spectral peak and the deviation possibility.

[0056] Preferably, the expression of the degree of shift of the peak is:

[0057] , represents the width of the jth peak, represents the height of the jth spectral peak, represents the shift probability of the jth spectral peak, Indicates the degree of shift of the j-th spectral peak.

[0058] The degree of sample shift can be estimated based on the degree of shift of all spectral peaks. The expression of the degree of shift of the chromatographic curve is:

[0059] , Indicates the degree of shift of the j-th spectral peak, represents the number of spectral peaks, represents the mean width of all peaks, Indicates the degree of shift of the chromatographic curve.

[0060] Among them, the higher the spectral peak, if an offset occurs, the greater the degree of offset will be; the lower the spectral peak, if an offset occurs, the smaller the degree of offset will be, and after the offset occurs, the peak width will increase; therefore, the degree of offset is reflected based on the ratio of peak width to peak height. The larger the ratio, the greater the degree of offset; and when an offset occurs, the entire liquid chromatography data will be offset, so the average offset degree of all spectral peaks is calculated and used as the offset degree of the sample chromatographic curve.

[0061] At this point, the degree of shift of the sample chromatographic curve is obtained.

[0062] Step S003, determining the peak shift difference based on the difference in the degree of shift of the spectral peaks of one component and all other components in the sample and the position difference of different samples with the same component; determining the error coefficient based on the peak shift difference, correcting the shift degree of the chromatographic curve, and then correcting the chromatographic curve.

[0063] The degree of sample deviation was calculated through the above steps. However, the content of the fermentation product of golden flower fungus is different in different fermentation periods of Fuzhuan tea. The peak height and peak width of the spectral peaks of substances with different contents are different in different liquid chromatography data, and the degree of deviation produced by different contents in the liquid chromatography data is different. Therefore, it is necessary to compare the differences in the liquid chromatography data of samples detected at different fermentation periods to obtain the accurate degree of deviation.

[0064] For all samples, the chromatographic column was observed to obtain the corresponding relationship between the spectral peaks of the same component in different samples; the spectral peak shift difference of each component was determined based on the difference in the degree of shift between the spectral peak corresponding to the component in the sample itself and all the spectral peaks in the sample, as well as the difference in the position of the spectral peaks of different samples under each component.

[0065] The spectral peak shift difference is positively correlated with the shift degree difference and position difference, respectively.

[0066] Preferably, in this embodiment, the expression of the spectrum peak shift difference is:

[0067] , The horizontal coordinate of the maximum value of the spectrum peak corresponding to the rth component in the ath sample, The horizontal coordinate of the maximum value of the spectrum peak corresponding to the rth component in the bth sample, Indicates the degree of deviation of the peak corresponding to the rth component in the bth sample, Represents the mean value of the deviation of the peak corresponding to the rth component of all samples, represents the number of samples, Indicates the difference in spectral peak shift of the rth component.

[0068] Specifically, Indicates the difference between different chromatographic curves of the same component. The horizontal axis of the chromatographic curve represents the change in the composition state of the mobile phase in the chromatographic system at each time point, reflecting the migration process of the component in the chromatographic column. If there is a difference in the horizontal axis, it means that there is a peak shift when obtaining the chromatographic curve. Therefore, here we compare the differences between different chromatographic data of the same component. The larger the difference, the greater the difference. It indicates the difference in the degree of shift of the same spectral peak in different samples. The larger the difference, the greater the difference in the spectral peak shift.

[0069] The degree of peak shift is corrected based on the peak shift differences of the same component in different samples obtained above. Because the peak shift is an overall shift, but the degree of shift of components with different contents is different, the error coefficient is obtained based on the peak shift differences obtained above, and then correction is made based on the error coefficient.

[0070] The expression of the error coefficient is:

[0071] , represents the difference in the peak shift of the rth component, represents the mean of the peak shift differences of all components, Indicates the quantity of ingredients, Represents the spectrum peak error coefficient.

[0072] The sample's offset is corrected based on the error coefficient. The larger the error coefficient, the greater the correction required. Since the peak width increases after the peak shift, the correction also reduces the peak width. Based on this, the peak offset coefficient is corrected, and the expression is:

[0073] , Indicates the degree of deviation of the chromatographic curve of the sample to be tested. represents the linear normalization function, represents the spectrum peak error coefficient, Indicates the degree of deviation of the sample chromatographic curve after correction.

[0074] The chromatographic curve is corrected based on the deviation degree of the corrected sample, and the product of the width of each spectral peak and the deviation degree of the corrected sample chromatographic curve is used as the width of the corrected chromatographic curve. In this way, the correction of the chromatographic curve is completed.

[0075] At this point, the correction of the chromatographic curve is completed.

[0076] Step S004: Calculate the component concentration based on the corrected chromatographic curve to complete the fermentation detection.

[0077] The above steps complete the correction of the sample peak curve. Next, standard samples from different fermentation stages are found and their corresponding peak areas are plotted on a graph to create a standard curve. Linear regression analysis is typically used to fit the data. Peak areas of each target component in the sample are extracted from the HPLC data.

[0078] The concentration of each component in the sample is then calculated based on the outcome, slope, and peak area of ​​the standard curve. The formula for calculating concentration is:

[0079] , Indicates the peak area of ​​each component in the sample corresponding to the spectral peak, represents the knot intercept of the standard curve, represents the slope of the standard curve, Indicates the concentration of a component.

[0080] The concentrations of different components in the sample are calculated and obtained in this way. Then, different concentration conditions are set for different components in different fermentation stages based on the standard and existing standards to determine whether the current component concentration meets the concentration conditions. If so, it means that the fermentation degree of the sample is good; if not, it means that the fermentation degree is poor; based on this, the fermentation test is completed.

[0081] It should be noted that the above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application.

[0082] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea, characterized in that: The method comprises the following steps: Collect samples at different fermentation stages, extract the samples, and then use chromatography to obtain chromatographic curves of the samples; Determining the possibility of peak shift based on the distance between adjacent peaks and the height of the peaks in the chromatographic curve; obtaining the width and height of the peaks, and determining the degree of peak shift based on the ratio of the width and height and the possibility of shift; and obtaining the degree of peak shift based on the average of the degree of shift and the width of all peaks; Determine the spectral peak shift variability of each component based on the difference in the degree of shift between the spectral peak corresponding to each component of the sample and all spectral peaks in the sample, as well as the difference in the position of the spectral peaks of different samples under each component; determine the error coefficient based on the difference between the spectral peak shift variability of each component and the spectral peak shift variability of all components; correct the shift degree of the sample chromatographic curve based on the error coefficient, and then correct the chromatographic curve; The peak area of ​​the spectral peak is obtained based on the corrected chromatographic curve, and the concentration of the component is calculated based on the peak area of ​​the spectral peak by comparing the sample and the standard, thereby completing the fermentation detection; The method for obtaining the degree of deviation of the chromatographic curve according to the mean of the degree of deviation and width of all spectral peaks is as follows: , Indicates the degree of shift of the j-th spectral peak, represents the number of spectral peaks, represents the mean width of all peaks, Indicates the degree of sample deviation; The peak shift difference is positively correlated with the shift degree difference and the position difference, respectively, and is determined by the following formula: , The horizontal coordinate of the maximum value of the spectrum peak corresponding to the rth component in the ath sample, The horizontal coordinate of the maximum value of the spectrum peak corresponding to the rth component in the bth sample, Indicates the degree of deviation of the peak corresponding to the rth component in the bth sample, Represents the mean value of the deviation of the peak corresponding to the rth component of all samples, represents the number of samples, Indicates the difference in spectral peak shift of the rth component; The method for determining the error coefficient based on the difference between the peak shift difference of each component and the peak shift difference of all components is: , represents the difference in the peak shift of the rth component, represents the mean of the peak shift differences of all components, Indicates the quantity of ingredients, Represents the spectrum peak error coefficient.

2. The liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea according to claim 1, wherein The column temperature of the chromatographic column selected in the chromatography method is set to 30-35° C., the flow rate is 0.8-1.0 mL / min, and the injection volume is 10-20 μL.

3. The liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea according to claim 1, wherein The shift probability of the spectral peak is inversely proportional to the distance between adjacent spectral peaks and is directly proportional to the height of the spectral peak.

4. The liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea as claimed in claim 1, wherein The width of the spectrum peak is the distance between the leftmost and rightmost points of the spectrum peak, and the height of the spectrum peak is the maximum value of the spectrum peak.

5. The liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea as claimed in claim 1, wherein: The method for determining the degree of shift of the spectral peak based on the ratio of width to height and the possibility of shift is: The ratio of the width of the spectrum peak to the height of the spectrum peak is recorded as the first ratio, and the product of the first ratio and the shift possibility of the spectrum peak is recorded as the shift degree of the spectrum peak.

6. The liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea according to claim 1, wherein The method for correcting the deviation of the sample chromatographic curve based on the error coefficient and then correcting the chromatographic curve is as follows: , Indicates the degree of deviation of the chromatographic curve of the sample to be tested. represents the linear normalization function, represents the spectrum peak error coefficient, Indicates the degree of deviation of the sample chromatographic curve after correction; The product of the width of each spectral peak and the degree of deviation of the corrected sample chromatographic curve is used as the width of the corrected chromatographic curve, thereby completing the correction of the chromatographic curve.

7. The liquid chromatography-based method for detecting golden flower fungus fermentation in Fuzhuan tea according to claim 1, wherein The method for calculating the concentration of the component based on the peak area of ​​the spectrum peak by comparing the sample and the standard is: Draw a standard curve based on the different concentrations of the standard and its corresponding peak area; obtain the intercept and slope of the standard curve; The expression for the concentration of sample components is: , Indicates the peak area of ​​each component in the sample corresponding to the spectral peak, represents the knot intercept of the standard curve, represents the slope of the standard curve, Indicates the concentration of a component.

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