Method, system, equipment and medium for analyzing interaction of turbid components in Baijiu based on S curve

Abstract

The invention belongs to the technical field of food, and discloses a method, a system, equipment and a medium for analyzing interaction of turbid components in Baijiu based on an S curve, and the method comprises the following steps: respectively determining actually measured visual thresholds of a chemical substance A, a chemical substance B and a mixed chemical substance AB in the Baijiu by utilizing an S curve method; determining a theoretical threshold value of the mixed chemical substance AB based on an addition formula; and based on the ratio of the actually measured visual threshold value of the mixed chemical substance AB to the theoretical threshold value of the mixed chemical substance AB, analyzing the interaction between different chemical substances in the mixed chemical substance AB. According to the technical scheme provided by the invention, the mutual synergistic effect between the higher fatty acid ethyl esters can be intuitively reflected.

Description

Technical Field

[0001] The present invention belongs to the field of food technology, and in particular relates to a method, system, equipment and medium for analyzing the interaction of turbid components in liquor based on an S-curve. Background Art

[0002] In 2023, the sales of China's liquor industry will reach 796.3 billion yuan, a year-on-year increase of 9.7%; the profit will reach 232.8 billion yuan, a year-on-year increase of 7.6%; the total output will reach 62.9 million kiloliters, a year-on-year decrease of 5.1%. While the output of liquor is declining, sales and profits are rising, which is closely related to the continuous improvement of the quality and market value of liquor. With the rise of healthy consumption trends, the increasing demand of consumers for taste and flavor, and the diversification of consumption scenarios, low-alcohol liquor has shown good development prospects in the market in recent years. Therefore, in the "Guiding Opinions on Accelerating the Construction of a Modern Light Industry System" issued by the Ministry of Industry and Information Technology, it is clearly proposed to develop low-alcohol liquor for young consumer groups and foreign consumer groups.

[0003] However, the development of low-alcohol liquor is still restricted by the process. In the process of "adding pulp (water) to reduce the alcohol content" of low-alcohol liquor, turbidity often occurs, which greatly affects consumers' confidence in the quality of the product. The turbidity phenomenon is caused by the precipitation and agglomeration of higher fatty acid ethyl ester compounds in the liquor in a low-ethanol environment, resulting in turbidity. At the same time, higher fatty acid ethyl esters have a good blocking effect on the flavor substances in the liquor, but in the process of removing these compounds, the volatilization balance of the flavor substances in the liquor will be destroyed, damaging the flavor of the liquor. Therefore, the higher fatty acid ethyl esters in the liquor should be retained as much as possible without causing turbidity. However, the effect of higher fatty acid ethyl esters on the turbidity of liquor is not a simple linear superposition of concentrations, but is achieved through complex interactions. There is an urgent need for a method that can analyze the interaction between higher fatty acid ethyl esters in liquor.

[0004] Existing analytical techniques mainly focus on roughly detecting the concentration of a single higher fatty acid ethyl ester and its effect on the turbidity of liquor through a turbidimeter or a dynamic light scattering particle size analyzer. However, these methods are not very sensitive and often ignore the complex interactions between different higher fatty acid ethyl esters, resulting in deviations between the analysis results and the actual situation. Since the interaction between higher fatty acid ethyl esters is not a simple linear superposition of concentrations, but rather a combination of multiple mechanisms such as synergistic or antagonistic effects, it is difficult for existing technologies to accurately predict or explain this complex behavior. In addition, existing analytical methods generally lack in-depth research on the formation mechanism of turbidity and cannot provide effective solutions, which limits the improvement of low-alcohol liquor process. There is an urgent need for a method that can analyze the interactions between higher fatty acid ethyl esters in liquor. Summary of the invention

[0005] The purpose of the present invention is to provide a method, system, device and medium for analyzing the interaction of turbid components in liquor based on an S-curve, so as to solve the problems existing in the above-mentioned prior art.

[0006] To achieve the above object, the present invention provides a method for analyzing the interaction of turbid components in liquor based on an S-curve, comprising:

[0007] The S-curve method was used to determine the measured visual thresholds of chemical substance A, chemical substance B and mixed chemical substances AB in liquor.

[0008] Determining a theoretical threshold value of the mixed chemical substance AB based on an addition formula;

[0009] Based on the ratio of the measured visual threshold of the mixed chemical substances AB to the theoretical threshold of the mixed chemical substances AB, the interaction between different chemical substances in the mixed chemical substances AB is analyzed.

[0010] Optionally, the S-curve method is used to respectively determine the measured visual thresholds of chemical substance A, chemical substance B and mixed chemical substances AB in the liquor, specifically including:

[0011] An ethanol solution is prepared based on ultrapure water and chromatographic grade ethanol according to a preset alcohol content, and the prepared ethanol solution is used as a liquor simulation matrix. Samples of different concentrations are prepared according to a preset concentration gradient for chemical substance A / chemical substance B / mixed chemical substance AB;

[0012] The detection probability of each sample was determined by sensory evaluation;

[0013] The detection probability of each sample is corrected using the correction formula to obtain the corrected detection probability of each sample;

[0014] The concentration of each sample and the corresponding corrected detection probability are curve-fitted to obtain the concentration C-corrected detection probability P curve of each sample;

[0015] The concentration corresponding to the time when the corrected detection probability P in the concentration C-corrected detection probability P curve is equal to 0.5 is taken as the measured visual threshold corresponding to chemical substance A / chemical substance B / mixed chemical substance AB.

[0016] Optionally, the detection probability of each sample is corrected using a correction formula to obtain a corrected detection probability of each sample. The specific calculation formula is:

[0017] P = (3 × p-1) / 2

[0018] Where P is the corrected detection probability and p is the detection probability.

[0019] Optionally, the theoretical threshold of the mixed chemical substance AB is determined based on an addition formula, and the specific process includes:

[0020] Calculate the theoretical detection probability of the mixed chemical substance AB:

[0021] P(AB) = P(A) + P(B) - P(A) × P(B)

[0022] Wherein, P(AB) is the theoretical detection probability of the mixed chemical substance AB, P(A) is the corrected detection probability of the chemical substance A, and P(B) is the corrected detection probability of the chemical substance B;

[0023] Perform curve fitting on the concentration of the mixed chemical substance AB and the corresponding theoretical detection probability to obtain a theoretical fitting S curve;

[0024] Take the concentration corresponding to the theoretical detection probability equal to 0.5 in the theoretical fitting S curve as the theoretical threshold of the mixed chemical substance AB.

[0025] Optionally, based on the ratio of the measured visual threshold of the mixed chemical substance AB to the theoretical threshold of the mixed chemical substance AB, analyze the interaction between different chemical substances in the mixed chemical substance AB, specifically including:

[0026] Define D = measured visual threshold / theoretical threshold. When D > 2, there is a masking effect; when 1 < D < 2, there is a partial masking effect; when D = 1, there is no effect; when 0.5 < D < 1, there is an additive effect; when D < 0.5, there is a synergistic effect.

[0027] A system for analyzing the interaction of turbidity components in liquor based on the S curve, comprising:

[0028] A measured threshold acquisition module, configured to respectively measure the measured visual thresholds of the chemical substance A, the chemical substance B, and the mixed chemical substance AB in the liquor by using the S curve method;

[0029] A theoretical threshold acquisition module, configured to determine the theoretical threshold of the mixed chemical substance AB according to the summation formula;

[0030] An interaction analysis module, configured to analyze the interaction between different chemical substances in the mixed chemical substance AB according to the ratio of the measured visual threshold of the mixed chemical substance AB to the theoretical threshold of the mixed chemical substance AB.

[0031] An electronic device, comprising a memory and a processor, where the memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for analyzing the interaction of turbidity components in liquor based on the S curve.

[0032] A computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for analyzing the interaction of turbidity components in liquor based on the S curve is implemented.

[0033] The technical effects of the present invention are:

[0034] The present invention can better understand and predict the precipitation behavior of different higher fatty acid ethyl esters in a low ethanol environment by introducing an S-curve analysis model, revealing the complexity of their interactions, thereby providing a scientific basis for the optimization of low-alcohol liquor technology. By establishing an S-curve model, the change in turbidity threshold before and after the mixing of turbid components in different liquors can be examined, and the correlation between concentration and detection probability can be more intuitively reflected. At the same time, the mutual synergistic effect between higher fatty acid ethyl esters is intuitively reflected, which can be used for the study of synergistic methods between different non-volatile substances, and has wide applicability. The present invention examines the synergistic effect between higher fatty acid ethyl esters from the perspective of visual observation, combining an S-curve model and a visual threshold detection method. At present, the research scope for the interaction between compounds is between volatile flavor compounds or between non-volatile substances and volatile substances, and the interaction between non-volatile compounds has no clear judgment criteria, so the detection method for the interaction between non-volatile compounds has always been in a technical blank. The present invention has made a breakthrough in the study of the interaction between non-volatile compounds from a visual perspective, filling the gap in the study of the synergistic effect between non-volatile substances. It provides theoretical support and technical guidance for the flavor improvement of low-alcohol liquor and promotes the practical technology of the interaction between non-volatile flavor substances in food. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0037] Figure 1 Schematic diagram of the threshold determination of cis-9-octadecenoic acid ethyl ester in an embodiment of the present invention;

[0038] Figure 2 Schematic diagram of the threshold determination of α-linolenic acid ethyl ester in an embodiment of the present invention;

[0039] Figure 3 It is an experimental and theoretical S-curve diagram of a binary mixture of α-linolenic acid ethyl ester and cis-9-octadecenoic acid ethyl ester in an embodiment of the present invention;

[0040] Figure 4 It is an analysis flow chart in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] Various exemplary embodiments of the present invention will now be described in detail. This detailed description should not be considered as limiting the present invention, but should be understood as a more detailed description of certain aspects, features, and embodiments of the present invention.

[0042] It should be understood that the terms described in the present invention are only for describing special embodiments and are not intended to limit the present invention. In addition, for the numerical range in the present invention, it should be understood that each intermediate value between the upper and lower limits of the scope is also specifically disclosed. Each smaller range between the intermediate value in any stated value or stated range and any other stated value or intermediate value in the described range is also included in the present invention. The upper and lower limits of these smaller ranges can be independently included or excluded in the scope.

[0043] Unless otherwise indicated, all technical and scientific terms used herein have the same meanings as those of ordinary skill in the art generally understood by the present invention. Although the present invention describes only preferred methods, any method similar or equivalent to that described herein may also be used in the implementation or testing of the present invention. All documents mentioned in this specification are incorporated by reference to disclose and describe the methods related to the documents. In the event of a conflict with any incorporated document, the content of this specification shall prevail.

[0044] It will be apparent to those skilled in the art that various modifications and variations may be made to the specific embodiments of the present invention description without departing from the scope or spirit of the present invention. Other embodiments derived from the present invention description will be apparent to those skilled in the art. The present application description and examples are exemplary only.

[0045] The words “include,” “including,” “have,” “contain,” etc. used in this article are open-ended terms, meaning including but not limited to.

[0046] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0047] Embodiment 1

[0048] like Figure 1 - Figure 4As shown, this embodiment provides a method for analyzing the interaction of turbid components in white wine based on the S curve, including: using the S curve method to respectively determine the measured visual thresholds of chemical substance A, chemical substance B and mixed chemical substance AB in the white wine; determining the theoretical threshold of the mixed chemical substance AB based on the sum formula; based on the ratio of the measured visual threshold of the mixed chemical substance AB to the theoretical threshold of the mixed chemical substance AB, analyzing the interaction between different chemical substances in the mixed chemical substance AB.

[0049] Compared with the existing technology, the technical progress of this embodiment is significant. This embodiment examines the synergistic effect between higher fatty acid ethyl esters from the perspective of visual observation, combined with the S-curve model and the visual threshold detection method. At present, the research scope of the interaction between compounds is between volatile flavor compounds or between non-volatile substances and volatile substances, and the interaction between non-volatile compounds has no clear judgment criteria, so the detection method for the interaction between non-volatile compounds has always been in a technical gap. This embodiment has made a breakthrough in the study of the interaction between non-volatile compounds from a visual perspective, filling the gap in the study of the synergistic effect between non-volatile substances. It provides theoretical support and technical guidance for the flavor improvement of low-alcohol liquor and promotes the practical technology of the interaction between non-volatile flavor substances in food.

[0050] The present embodiment provides a method for analyzing the interaction between higher fatty acid ethyl ester compounds in low-alcohol liquor and its effect on liquor turbidity based on the S-curve method, configures an environment suitable for observation and stable temperature, simulates a low-alcohol liquor matrix by mixing ultrapure water and chromatographic-grade ethanol, then adds a single compound at a gradient of 2 as a dilution factor, and plots a concentration C-detection probability P curve using the 10 data points obtained in the above steps, and obtains the compound threshold by fitting according to the formula Y=1 / (1+exp(-(c-c0) / b)); then, two compounds are mixed in proportion according to the concentration ratio obtained by detection in actual liquor samples, the actual detection threshold of the mixture is obtained by observation, the theoretical detection threshold is obtained by the sum model, and the synergistic effect between the substances is judged by the ratio of the actual detection threshold to the theoretical detection threshold.

[0051] The S-curve method is widely used in the study of the interaction of flavor substances because of its high sensitivity, data visualization, wide application range and ability to reveal the critical point of turbidity. The visual turbidimetric sensory method can more accurately judge the turbidity differences in the solution, including the degree of turbidity and the size and shape of the turbidity particles, so it is an important means to verify the S-curve method. The S-curve method combined with the visual turbidimetric sensory method can scientifically explain the interaction between higher fatty acid ethyl esters, and this new technology can reveal the interaction between non-volatile compounds in liquor for the first time. This is of great significance for the development of low-alcohol liquor flavor and the revelation of the interaction between non-volatile compounds.

[0052] This embodiment provides a method for analyzing the effect of the interaction of higher fatty acid ethyl esters on the turbidity of liquor based on the S-curve method. The method aims to solve the problem of the lack of research on the interaction between non-volatile compounds in the prior art, and is expected to improve the volatilization balance and solubility dynamic balance of flavor substances in liquor.

[0053] In order to solve the above technical problems, this embodiment includes the following steps:

[0054] 1) Configuration of observation environment and sensory evaluation: ultrapure water and chromatographic grade ethanol were used to prepare a simulated matrix of low alcohol liquor with an alcohol content of 38%. In an observation environment with stable temperature and the same light environment, several observers observed the test solution and blank solution. The blank solution was a low alcohol liquor matrix without any substance added. Higher fatty acid ethyl ester was added to the test solution and diluted 10 times with 2 as the dilution factor. The observers correctly identified the test solution from the blank solution and obtained the recognition probability p of the substance, p = number of correct identifications / number of observers;

[0055] 2) Determine the turbidity threshold of a single compound: Use Sigma Plot 12.0 software to draw an S curve of compound concentration C-corrected detection probability P for the 10 data points obtained in the above steps. The S curve is fitted to the P value obtained by the gradient concentration substance according to the formula P=1 / (1+EXP(-(c-c0) / X)), c is the logarithm of the concentration of the turbid substance, i.e., logC, where C is the concentration of a single higher fatty acid ethyl ester added, c0 is the logarithm of the threshold when P=0.5, b is the slope of the S curve, b=1 / X, and the linear correlation coefficient of the fitted S curve should be greater than 0.95. When the corrected detection probability P=0.5, the corresponding concentration of the S curve obtained by fitting is the visual threshold of the turbid substance;

[0056] 3) Interaction between substances in binary mixed system: Mix higher fatty acid ethyl esters in the same proportion, and determine the synergistic effect between the substances by obtaining the ratio of the actual threshold to the theoretical threshold.

[0057] Feasible. In the same observation environment, the solution is placed in a colorless and transparent glass container, and a black-and-white background board is set up to avoid environmental interference and assist the observer in observing. The lighting condition is only provided by full-spectrum LED lights, and the environmental temperature is 10°C ± 1°C.

[0058] Feasible. The several observers are composed of at least 20 people with healthy binocular vision, and the number of men and women each accounts for half.

[0059] Feasible. The corrected detection probability P = (3×p - 1), where P is the corrected detection probability and p is the experimental detection probability (capital P represents the detection probability after correction, and lowercase p represents the experimental detection probability), which reduces the error caused by randomness in the experiment.

[0060] Feasible. The ratio of the mixture, the concentration ratio of substance A and substance B in the mixture depends on the concentration ratio actually measured of substance A and substance B in the liquor.

[0061] Feasible. The actual detection threshold of the mixture. The measured curve is plotted based on the detection probability and concentration obtained from the experiment, and is fitted according to the formula P = 1 / (1 + exp(-(c - c0) / b)) to obtain the measured S fitting curve. When the corrected detection probability P = 0.5, the corresponding concentration is the actual detection concentration.

[0062] Feasible. The theoretical detection threshold. Calculate P(AB) through the addition formula P(AB) = P(A) + P(B) - P(A)×P(B), plot the theoretical curve of Log(concentration) - detection probability P, and fit it according to the formula Y = 1 / (1 + exp(-(c - c0) / b)) to obtain the theoretical fitting S curve. When the corrected detection probability P = 0.5, the corresponding concentration is the theoretical threshold.

[0063] Feasible. The judgment of the synergistic effect is as follows: D = measured threshold / theoretical threshold. When D > 2, there is a masking effect; when 1 < D < 2, there is a partial masking effect; when D = 1, there is no effect; when 0.5 < D < 1, there is an additive effect; when D < 0.5, there is a synergistic effect.

[0064] The present embodiment is based on the S curve method to analyze the interaction of higher fatty acid ethyl esters and the method for affecting the turbidity of liquor. The relationship between the concentration and detection probability of higher fatty acid ethyl esters and binary mixtures in low-alcohol liquor is investigated. SigmaPlot12.0 software is used to establish an S curve model to investigate the step of the synergistic effect between ester substances in low-alcohol liquor. The present embodiment establishes an S curve model to investigate the change in turbidity threshold before and after the mixing of turbid components in different liquors, which can more intuitively reflect the correlation between concentration and detection probability. At the same time, it intuitively reflects the mutual synergistic effect between higher fatty acid ethyl esters, which can be used for the research of synergistic methods between different non-volatile substances, and has wide applicability.

[0065] This method mainly uses the S-curve method combined with visual turbidity sensory evaluation to analyze the synergistic effect of higher fatty acid ethyl ester compounds on the turbidity of low-alcohol liquor. The specific implementation steps are as follows:

[0066] 1) Use ultrapure water and chromatographic grade ethanol to prepare a simulated matrix of low alcohol liquor with an alcohol content of 38%, and observe the test solution and blank solution in an environment of 10℃±1℃, a color temperature of 4000-4500K and a brightness of 450-550Lux. The blank solution is a low alcohol liquor matrix without any substance added. Cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester are added to the test solution, respectively, with initial concentrations of 50mg / L and 25mg / L, respectively. 10 gradients are diluted with 2 as the dilution multiple. The observer correctly identifies the test solution from the blank solution, and obtains the recognition probability p of the substance, p=number of correct identifications / number of observations, and the corrected detection probability is obtained according to the formula P=(3×p-1) / 2. The corrected detection probability is shown in Table 1,

[0067] As shown in Table 1, 10 concentration gradients were selected for cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester. Using Sigma Plot 12.0 software, the 10 data points of cis-9-octadecenoic acid ethyl ester (and α-linolenic acid ethyl ester) obtained in the above steps were plotted as a curve of concentration C-detection probability P, and the plotted curve of concentration C-detection probability P was fitted using the formula P=1 / (1+exp(-(c-c0) / b)). When the corrected detection probability P=0.5, the concentration corresponding to the intersection of the reference line and the measured fitting S curve is the measured visual threshold of cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester.

[0068] Table 1 Detection probability of cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester

[0069]

[0070]

[0071] Table 2 Detection probability of mixture of cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester

[0072]

[0073] Depend on Figure 1 It can be seen that the visual threshold of cis-9-octadecenoic acid ethyl ester in 38% ethanol aqueous solution is 3.95 mg / L. The fitting S-curve formula is Y=1 / (1+exp(-(x+0.5964) / 0.0217), where x0 is 0.5964, b is 0.0217, and the fitting degree of the S-curve is 0.99.

[0074] Depend on Figure 2 It can be seen that the visual threshold of α-linolenic acid ethyl ester in 38% ethanol aqueous solution is 4.23 mg / L. The fitting S-curve formula is Y=1 / (1+exp(-(x+0.6267) / 0.2597), where x0 is 0.6267, b is 0.2597, and the fitting degree of the S-curve is 0.96.

[0075] Cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester are mixed according to their actual concentration ratio in low-alcohol liquor. According to the addition formula P(AB)=P(A)+P(B)-P(A)×P(B), SigmaPlot12.0 is used to draw the theoretical curve after cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester are mixed and fitted, and the theoretical threshold value after cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester are mixed is calculated. As shown in Table 2, cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester are mixed according to the actual concentration ratio. The mixed theoretical detection probability is calculated by the addition formula P(AB)=P(A)+P(B)-P(A)×P(B), wherein P(A) is the detection probability of cis-9-octadecenoic acid ethyl ester, and P(B) is the detection probability of α-linolenic acid ethyl ester.

[0076] The measured threshold value after the mixture of cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester was calculated by establishing an S curve based on the concentration C and the corrected detection probability P after the mixture, and fitting. The synergistic effect between cis-9-octadecenoic acid ethyl ester and α-linolenic acid ethyl ester in low-alcohol liquor was judged based on the ratio between the measured threshold value and the theoretical threshold value.

[0077] from Figure 3It can be known that after the binary mixture of ethyl cis-9-octadecenoate and ethyl α-linolenate, the theoretical threshold is 4.66 mg / L, the measured threshold is 2.48 mg / L, and D = measured threshold / theoretical threshold = 0.53. According to the judgment basis of the synergistic effect in this embodiment, 0.5 < D < 1, and the effect is an additive effect, that is, ethyl cis-9-octadecenoate and ethyl α-linolenate show an additive effect in the influence on the turbidity of low-alcohol liquor.

[0078] Therefore, the S-curve method is simple, intuitive and reliable for the study of the synergistic effect among higher fatty acid ethyl ester substances in low-alcohol liquor. It provides a theoretical basis and technical guidance for the study of the coordination method among non-volatile substances.

[0079] A system for analyzing the interaction of turbidity components in liquor based on the S-curve includes:

[0080] A measured threshold acquisition module for respectively measuring the measured visual thresholds of chemical substance A, chemical substance B and mixed chemical substance AB in liquor by using the S-curve method;

[0081] A theoretical threshold acquisition module for determining the theoretical threshold of the mixed chemical substance AB according to the summation formula;

[0082] An interaction analysis module for analyzing the interaction between different chemical substances in the mixed chemical substance AB according to the ratio of the measured visual threshold of the mixed chemical substance AB to the theoretical threshold of the mixed chemical substance AB.

[0083] An electronic device includes a memory and a processor. The memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute the method for analyzing the interaction of turbidity components in liquor based on the S-curve.

[0084] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the method for analyzing the interaction of turbidity components in liquor based on the S-curve.

[0085] As mentioned above, it is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed in the present application should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for analyzing the interaction of turbid components in liquor based on S-curve, It is characterized in that include: The S-curve method was used to determine the measured visual thresholds of chemical substance A, chemical substance B and mixed chemical substances AB in liquor. Determining a theoretical threshold value of the mixed chemical substance AB based on an addition formula; Based on the ratio of the measured visual threshold of the mixed chemical substances AB to the theoretical threshold of the mixed chemical substances AB, the interaction between different chemical substances in the mixed chemical substances AB is analyzed.

2. A method for analyzing the interaction of turbid components in liquor based on S curve according to claim 1, It is characterized in that The S-curve method is used to determine the measured visual thresholds of chemical substance A, chemical substance B and mixed chemical substances AB in liquor, including: An ethanol solution is prepared based on ultrapure water and chromatographic grade ethanol according to a preset alcohol content, and the prepared ethanol solution is used as a liquor simulation matrix. Samples of different concentrations are prepared according to a preset concentration gradient for chemical substance A / chemical substance B / mixed chemical substance AB; The detection probability of each sample was determined by sensory evaluation; The detection probability of each sample is corrected using the correction formula to obtain the corrected detection probability of each sample; The concentration of each sample and the corresponding corrected detection probability are curve-fitted to obtain the concentration C-corrected detection probability P curve of each sample; The concentration corresponding to the time when the corrected detection probability P in the concentration C-corrected detection probability P curve is equal to 0.5 is taken as the measured visual threshold corresponding to chemical substance A / chemical substance B / mixed chemical substance AB.

3. A method for analyzing the interaction of turbid components in liquor based on S curve according to claim 2, It is characterized in that The detection probability of each sample is corrected using the correction formula to obtain the corrected detection probability of each sample. The specific calculation formula is: P = (3 × p-1) / 2 Where P is the corrected detection probability and p is the detection probability.

4. A method for analyzing the interaction of turbid components in liquor based on S curve according to claim 1, It is characterized in that The theoretical threshold of the mixed chemical substance AB is determined based on the addition formula, and the specific process includes: Calculate the theoretical detection probability of the mixed chemical substance AB: P(AB)=P(A)+P(B)-P(A)×P(B) Where P(AB) is the theoretical detection probability of mixed chemical substance AB, P(A) is the corrected detection probability of chemical substance A, and P(B) is the corrected detection probability of chemical substance B; Perform curve fitting on the concentration of mixed chemical substance AB and the corresponding theoretical detection probability to obtain a theoretical fitting S curve; The concentration corresponding to the theoretical detection probability of 0.5 in the theoretical fitting S curve is taken as the theoretical threshold of the mixed chemical substance AB.

5. A method for analyzing the interaction of turbid components in liquor based on S curve according to claim 1, It is characterized in that Based on the ratio of the measured visual threshold of the mixed chemical substance AB to the theoretical threshold of the mixed chemical substance AB, the interaction between different chemical substances in the mixed chemical substance AB is analyzed, including: Define D = measured visual threshold / theoretical threshold. When D > 2, there is a masking effect; when 1 < D < 2, there is a partial masking effect; when D = 1, there is no effect; when 0.5 < D < 1, there is an additive effect; when D < 0.5, there is a synergistic effect.

6. A system for analyzing the interaction of turbidity components in liquor based on the S-curve Characterized in that It includes: A measured threshold acquisition module, which is used to respectively measure the measured visual thresholds of chemical substance A, chemical substance B and mixed chemical substance AB in liquor by using the S-curve method; A theoretical threshold acquisition module, which is used to determine the theoretical threshold of the mixed chemical substance AB according to the summation formula; An interaction analysis module, which is used to analyze the interaction between different chemical substances in the mixed chemical substance AB according to the ratio of the measured visual threshold of the mixed chemical substance AB to the theoretical threshold of the mixed chemical substance AB.

7. An electronic device Characterized in that It includes a memory and a processor. The memory is used to store a computer program, and the processor runs the computer program to enable the electronic device to execute a method for analyzing the interaction of turbidity components in liquor based on the S-curve according to any one of claims 1-5.

8. A computer-readable storage medium Characterized in that It stores a computer program, and when the computer program is executed by a processor, it implements a method for analyzing the interaction of turbidity components in liquor based on the S-curve according to any one of claims 1-5.

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