A method and apparatus for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians.

CN120214241BActive Publication Date: 2026-09-01BEIJING WARD INST OF TRADITIONAL CHINESE MEDICINE
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Patent Information

Application Number
CN202510581276.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-05-07
Publication Date
2026-09-01
Estimated Expiration
2045-05-07

AI Technical Summary

Technical Problem

[0004]上述专利中在过滤采用针对单相检测的红外光谱,单相检测方法针对单个液相中能够进行检测,但在过滤后,固相和液相上存可能会存在有效成分,因此仅对单相进行检测会导致检测结果出现偏差

Benefits of technology

该通经络改善微循环液体饮料的有效成分检测方法和装置,通过跨相态成分溯源方法,分析对照气体分别和初始液相有效成分数据之间的匹配度A、和初始固相有效成分数据之间的匹配度B,之后通过匹配计算方法和来源计算方法实现对匹配度A和匹配度B的修正,以此实现了对不同相态之间有效成分的追溯和划分,并通过跨相态成分溯源方法实现对照气体有效成分含量的划分,实现在准确获取液体饮料中有效成分含量的基础上,进一步地实现获取有效成分含量的分布情况。

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Abstract

This invention discloses a method and apparatus for detecting the effective components of liquid beverages that improve microcirculation through meridian stimulation, relating to the field of liquid beverage detection technology. The detection method includes: S01, acquiring a liquid beverage sample and using a circulating filtration method to separate the solid and liquid phases in the sample. This invention utilizes a cross-phase component tracing method to analyze the matching degree A between the control gas and the initial liquid phase effective component data, and the matching degree B between the control gas and the initial solid phase effective component data. Then, matching calculation methods and source calculation methods are used to correct the matching degree A and matching degree B, thereby achieving the tracing and classification of effective components across different phases. Furthermore, the cross-phase component tracing method is used to classify the effective component content of the control gas, achieving not only the acquisition of the effective component content in the liquid beverage, but also the acquisition of the distribution of the effective component content.
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Description

Technical Field

[0001] This invention relates to the field of liquid beverage testing technology, specifically to a method and apparatus for detecting the effective components of liquid beverages that improve microcirculation by clearing meridians. Background Technology

[0002] Liquid beverages may contain solids, so it is necessary to detect not only the components in the liquid but also the solids, using methods such as high-performance liquid chromatography (HPLC) and gas chromatography (GC), which can separate and analyze the chemical components in beverages.

[0003] For example, patent publication number "CN109507145A", entitled "A method for detecting the content of thiourea in industrial liquid by near-infrared spectroscopy", collects the original near-infrared spectrum of the sample based on the known true content of a large number of samples, and establishes a quantitative analysis and prediction model for the thiourea content in the liquid thiourea solution based on near-infrared spectroscopy and liquid chromatography. During detection, it is only necessary to collect the near-infrared spectrum of the sample to be tested after pretreatment and filtration. After the infrared spectrum is collected, the detection can be carried out. It has the characteristics of short spectral acquisition time, simplicity, speed, high detection efficiency and high detection accuracy, and is suitable for application in the industrial thiourea production and use process.

[0004] The aforementioned patent uses infrared spectroscopy for single-phase detection in the filtration process. While single-phase detection methods can detect a single liquid phase, effective components may still exist in both the solid and liquid phases after filtration. Therefore, detecting only a single phase can lead to deviations in the detection results.

[0005] For example, patent publication number "CN112730687A", entitled "A Method for Simultaneously Determining the Content of Lignans and Terpenes in Muxiang Shunqi Pills", uses a combination of matrix solid-phase dispersion and disposable pipette tip extraction to extract the effective components of the traditional Chinese medicine Muxiang Shunqi Pills. It integrates extraction and separation, and uses extremely small amounts of sample, adsorbent, and elution solvent. It has the advantages of low experimental cost, simple and convenient operation, short extraction and separation time, and high extraction efficiency. The above patent absorbs the effective components in the solid phase through liquid phase, but after the effective components are absorbed by the liquid phase, there will still be effective components stored in the solid phase, which will lead to the detected content of effective components being less than the actual value. To address this, a method and device for detecting the effective components of a liquid beverage that promotes meridian circulation and improves microcirculation has been invented. Summary of the Invention

[0006] The purpose of this invention is to provide a method and apparatus for detecting the effective components of liquid beverages that improve microcirculation by clearing meridians, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a method and apparatus for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians; the method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians includes: S01, Obtain a liquid beverage sample, use a circulating filtration method to separate the solid and liquid phases in the liquid beverage sample, apply orthogonal ultrasound to the liquid beverage during the separation process, collect the separated liquid and solid phases separately, detect the separated liquid phase, and obtain the initial liquid phase effective component data; S02, the separated solid phase is dried, the control gas discharged during the drying process is obtained, the dried solid phase is homogenized, and the effective component data of the initial solid phase is detected and obtained. S03, the reference gas is processed by the cross-phase composition tracing method to obtain the source data of the reference gas. The initial solid phase effective component data and the initial liquid phase effective component data are corrected based on the source data. The corresponding gas phase content data are obtained by combining the source data with the initial liquid phase effective component data and the initial solid phase effective component data respectively. The effective component distribution data are obtained based on the solid phase effective component data and the liquid phase effective component data. S04, solid phase effective component data and liquid phase effective component data are jointly mapped onto liquid beverages to generate distribution maps and data of effective components in liquid beverages; The transphase composition tracing method includes: The effective components of the control gas are detected by gas detection methods to obtain data on the effective components of the control gas. The matching degree A between the effective component data of the control gas and the effective component data of the initial liquid phase and the matching degree B between the effective component data of the control gas and the effective component data of the initial solid phase were calculated using a matching calculation method. The source data of the control gas were then obtained by combining the matching degree A and the matching degree B using a source calculation method.

[0008] Furthermore, the matching calculation method includes: Based on the volatility properties of the active ingredients, the active ingredients are divided into volatile active ingredients X and non-volatile active ingredients Y. Furthermore, based on the quantity and volatility properties of the active ingredients, Xi and Yj are obtained, where i represents the i-th volatile active ingredient and j represents the j-th non-volatile active ingredient. (1, 2, 3...m), where m represents the quantity of volatile active ingredients, j (1, 2, 3...n), where n represents the quantity of non-volatile active ingredients; The matching degree A includes the matching degree AX between volatile active ingredients X and the matching degree AY between non-volatile active ingredients Y; The matching degree BA includes the matching degree BX between volatile active ingredients X and the matching degree BY between non-volatile active ingredients Y; get , , and , and This represents the content of the i-th volatile component and the j-th non-volatile component in the initial liquid phase effective component data. and Let represent the content of the i-th volatile component and the j-th non-volatile component in the effective component data of the control gas, respectively. and Let represent the content of the i-th volatile component and the j-th non-volatile component in the initial solid phase effective component data, respectively. and The matching degree of the i-th volatile component and the matching degree of the j-th non-volatile component in matching degree A are respectively. The source calculation method includes: Source data obtained based on matching degree A and , and The matching degree of the i-th volatile component and the matching degree of the j-th non-volatile component in matching degree B are respectively included. The source data includes , , and , and This represents the ratio between the liquid and solid phases in terms of the content of the i-th volatile component in the control gas. and This indicates the ratio between the liquid and solid phases in terms of the content of the j-th volatile component in the control gas.

[0009] Furthermore, the transphase composition tracing method includes: Liquid No. 2 was obtained from the separated liquid phase by a filtration membrane extraction method. Liquid No. 2 was partially vaporized to obtain gas No. 2. Gas No. 2 was detected by a gas detection method to obtain data on the effective components of gas No. 2. The matching degree C between the effective component data of gas No. 2 and the effective component data of the control gas was calculated using a matching calculation method, and the source data of the control gas was obtained by combining the matching degree A, matching degree B and matching degree C using a source calculation method.

[0010] The method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians, as described above, further includes the following matching calculation method: The matching degree C includes the matching degree CX between volatile active ingredients X and the matching degree CY between non-volatile active ingredients Y; , and The values ​​are the contents of the i-th volatile active ingredient in the control gas and the contents in the second gas, respectively. This indicates the degree of matching between the i-th volatile active ingredient and the control gas; The source calculation method includes: based on The division ratio was adjusted to obtain and ,in accordance with and The numerical values ​​are used to classify the content of the i-th volatile active ingredient in the control gas. It is the dependent variable that makes the equation true, and the source data includes , , and .

[0011] Furthermore, the transphase composition tracing method includes: Obtain liquid No. 3 and its mass M1 from the separated liquid. Pour a quantitative amount of control gas into liquid No. 3 and liquefy the control gas in liquid No. 3 to obtain supplementary liquid and its mass M2. Detect the supplementary liquid using HPLC fingerprinting technology to obtain data on the effective components of the supplementary liquid. The matching degree D between the supplementary liquid effective component data and the initial liquid phase effective component data is calculated using a matching calculation method, and the source data of the control gas is obtained by combining the matching degree A, matching degree B and matching degree D using a source calculation method.

[0012] Furthermore, the matching calculation method includes: The matching degree D includes the matching degree DX between volatile active ingredients X and the matching degree DY between non-volatile active ingredients Y; get and , and Let represent the content of the i-th volatile active ingredient in the replenishment liquid and the content in the initial liquid phase, respectively. and These represent the contents of the j-th non-volatile active ingredient in the replenishment liquid and the contents in the initial liquid phase, respectively. This indicates the degree of matching between the i-th volatile active ingredient and the initial liquid phase. This indicates the degree of matching between the j-th non-volatile active ingredient and the initial liquid phase; The source calculation method includes: based on and The division ratio was adjusted to obtain and ,in accordance with and The numerical values ​​are used to classify the content of the i-th volatile active ingredient in the control gas, based on... and The numerical values ​​are used to classify the content of the j-th non-volatile active component in the control gas. and It is the dependent variable that makes the equation true, and the source data includes , , and .

[0013] Furthermore, the gas detection method includes obtaining a quantitative gas sample of a control gas, cooling the quantitative gas sample, liquefying water vapor in the quantitative gas sample to obtain a reference gas and a reference liquid, and detecting and obtaining the mass of the reference gas and the mass of the reference liquid. Then, the effective components in the reference liquid and the reference gas are detected separately to obtain the effective component data of the reference liquid and the effective component data of the reference gas. Based on the effective component data of the reference liquid, the mass of the reference gas, the effective component data of the reference gas, and the mass of the reference liquid, the effective component data of the control gas is obtained.

[0014] A device for detecting the effective components of a liquid beverage that promotes blood circulation and improves microcirculation, employing the aforementioned method for detecting the effective components of such a beverage, the device comprising: A microchannel component, wherein an ultrasonic device for emitting orthogonal ultrasonic waves is fixedly connected to the bottom end of the microchannel component, and a unidirectional limiting component is fixedly connected to the feed end and the discharge end of the microchannel component, wherein a microchannel is provided inside the microchannel component, and a particle collection chamber is fixedly connected to the bottom end of the microchannel component. An electric field device is used to apply a gradient electric field to the liquid inside a microchannel device. The electric field device is installed inside the microchannel device. Alternating tanks are fixedly installed at both ends of a microchannel component. The interior of the alternating tanks is connected to the microchannels inside the microchannel component. A piston is connected to the interior of the alternating tanks. A filter membrane element, used to retain solid phases, is fixedly installed inside a microchannel; An optical detector is used to detect the particle content in the liquid passing through a microchannel device, which is fixed inside the microchannel device.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This method and device for detecting the effective components of liquid beverages that improve microcirculation by promoting blood circulation and unblocking meridians analyzes the matching degree A between the control gas and the initial liquid phase effective component data, and the matching degree B between the control gas and the initial solid phase effective component data through a cross-phase component tracing method. Then, the matching degree A and matching degree B are corrected through matching calculation method and source calculation method, thereby realizing the tracing and classification of effective components between different phases. Furthermore, the cross-phase component tracing method is used to classify the effective component content of the control gas, thereby achieving not only accurate acquisition of the effective component content in the liquid beverage, but also further acquisition of the distribution of the effective component content.

[0016] Meanwhile, by organically combining matching calculation methods and source calculation methods, the distribution and content of effective components in liquid beverages can be determined. This method effectively reduces the problem of errors in component data detection results caused by phase interference, making the detection results more reliable. This detection method realizes the detection of effective components in both solid and gas phases through cross-phase component tracing, which helps to comprehensively understand the distribution and content of effective components in liquid beverages and provides a comprehensive basis for quality control.

[0017] By employing source calculation methods, component data in different phases are obtained, and source tracing is performed using matching calculation methods. Gas No. 2 is obtained through partial vaporization and compared with a control gas to correct for volatile effective components. By introducing the control gas into liquid No. 3 and liquefying it, a supplementary liquid is obtained and compared with the initial liquid phase to correct for both volatile and non-volatile effective components. The matching degree C further corrects the source data by comparing the component differences between gas No. 2 and the control gas, while the matching degree D corrects for non-volatile effective components by comparing the component differences between the supplementary liquid and the initial liquid phase, thus ensuring the reliability of the source data. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the transphase composition tracing method of the present invention; Figure 2 This is a schematic diagram of Embodiment 1 of the present invention; Figure 3 This is a schematic diagram of Embodiment 2 of the present invention; Figure 4 This is an isometric view of the detection device of the present invention; Figure 5 This is a cross-sectional view of the microchannel component of the present invention.

[0019] In the diagram: 1. Microchannel component; 2. Alternating tank; 3. Filter membrane component; 4. Optical detector; 5. Unidirectional confinement component; 6. Ultrasonic device; 7. Electric field device; 8. Particle collection chamber. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] like Figures 1-5 As shown, the present invention provides a technical solution: a method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians, the detection method comprising: S01, Obtain a liquid beverage sample, use a circulating filtration method to separate the solid and liquid phases in the liquid beverage sample, apply orthogonal ultrasound to the liquid beverage during the separation process, collect the separated liquid and solid phases separately, detect the separated liquid phase, and obtain the initial liquid phase effective component data; S02, the separated solid phase is dried, the control gas discharged during the drying process is obtained, the dried solid phase is homogenized, and the effective component data of the initial solid phase is detected and obtained. S03, the reference gas is processed by the cross-phase composition tracing method to obtain the source data of the reference gas. The initial solid phase effective component data and the initial liquid phase effective component data are corrected based on the source data. The effective component data of the reference gas is divided by the number of sources to obtain the corresponding solid phase content data and the corresponding gas phase content data. The corresponding gas phase content data is combined with the source data and the initial liquid phase effective component data and the initial solid phase effective component data respectively to obtain the solid phase effective component data and the liquid phase effective component data. The effective component distribution data is obtained based on the solid phase effective component data and the liquid phase effective component data. S04, solid phase effective component data and liquid phase effective component data are jointly mapped onto liquid beverages to generate distribution maps and data of effective components in liquid beverages; Methods for tracing the composition of transphase states include: The effective components of the control gas are detected by gas detection methods to obtain data on the effective components of the control gas. The matching degree A between the effective component data of the control gas and the effective component data of the initial liquid phase and the matching degree B between the effective component data of the control gas and the effective component data of the initial solid phase were calculated using a matching calculation method. The source data of the control gas were then obtained by combining the matching degree A and the matching degree B using a source calculation method.

[0022] Matching calculation methods include: Based on the volatility properties of the active ingredients, the active ingredients are divided into volatile active ingredients X and non-volatile active ingredients Y. Furthermore, based on the quantity and volatility properties of the active ingredients, Xi and Yj are obtained, where i represents the i-th volatile active ingredient and j represents the j-th non-volatile active ingredient. (1, 2, 3...m), where m represents the quantity of volatile active ingredients, j (1, 2, 3...n), where n represents the quantity of non-volatile active ingredients; The matching degree A includes the matching degree AX between volatile active ingredients X and the matching degree AY between non-volatile active ingredients Y; The matching degree BA includes the matching degree BX between volatile active ingredients X and the matching degree BY between non-volatile active ingredients Y; get , , and , and This represents the content of the i-th volatile component and the j-th non-volatile component in the initial liquid phase effective component data. and Let represent the content of the i-th volatile component and the j-th non-volatile component in the effective component data of the control gas, respectively. and Let represent the content of the i-th volatile component and the j-th non-volatile component in the initial solid phase effective component data, respectively. and The matching degree of the i-th volatile component and the matching degree of the j-th non-volatile component in matching degree A are respectively. Source calculation methods include: Source data obtained based on matching degree A and , and The matching degree of the i-th volatile component and the matching degree of the j-th non-volatile component in matching degree B are respectively included. The source data includes , , and , and This represents the ratio between the liquid and solid phases in terms of the content of the i-th volatile component in the control gas. and This indicates the ratio between the liquid and solid phases in terms of the content of the j-th volatile component in the control gas.

[0023] Transphase composition tracing methods include: Liquid No. 2 was obtained from the separated liquid phase by a filtration membrane extraction method. Liquid No. 2 was partially vaporized to obtain gas No. 2. Gas No. 2 was detected by a gas detection method to obtain data on the effective components of gas No. 2. The matching degree C between the effective component data of gas No. 2 and the effective component data of the control gas was calculated using a matching calculation method, and the source data of the control gas was obtained by combining the matching degree A, matching degree B and matching degree C using a source calculation method.

[0024] The above-mentioned method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians includes a matching calculation method comprising: The matching degree C includes the matching degree CX between volatile active ingredients X and the matching degree CY between non-volatile active ingredients Y; , and The values ​​are the contents of the i-th volatile active ingredient in the control gas and the contents in the second gas, respectively. This indicates the degree of matching between the i-th volatile active ingredient and the control gas; Source calculation methods include: based on The division ratio was adjusted to obtain and ,in accordance with and The numerical values ​​are used to classify the content of the i-th volatile active ingredient in the control gas. It is the dependent variable that makes the equation true, and the source data includes , , and .

[0025] Transphase composition tracing methods include: Obtain liquid No. 3 and its mass M1 from the separated liquid. Pour a quantitative amount of control gas into liquid No. 3 and liquefy the control gas in liquid No. 3 to obtain supplementary liquid and its mass M2. Detect the supplementary liquid using HPLC fingerprinting technology to obtain data on the effective components of the supplementary liquid. The matching degree D between the supplementary liquid effective component data and the initial liquid phase effective component data is calculated using a matching calculation method, and the source data of the control gas is obtained by combining the matching degree A, matching degree B and matching degree D using a source calculation method.

[0026] Matching calculation methods include: The matching degree D includes the matching degree DX between volatile active ingredients X and the matching degree DY between non-volatile active ingredients Y; get and , and Let represent the content of the i-th volatile active ingredient in the replenishment liquid and the content in the initial liquid phase, respectively. and These represent the contents of the j-th non-volatile active ingredient in the replenishment liquid and the contents in the initial liquid phase, respectively. This indicates the degree of matching between the i-th volatile active ingredient and the initial liquid phase. This indicates the degree of matching between the j-th non-volatile active ingredient and the initial liquid phase; Source calculation methods include: based on and The division ratio was adjusted to obtain and ,in accordance with and The numerical values ​​are used to classify the content of the i-th volatile active ingredient in the control gas, based on... and The numerical values ​​are used to classify the content of the j-th non-volatile active component in the control gas. and It is the dependent variable that makes the equation true, and the source data includes , , and .

[0027] The gas detection method includes obtaining a quantitative gas sample of a control gas, cooling the quantitative gas sample, liquefying water vapor in the quantitative gas sample to obtain a reference gas and a reference liquid, and detecting the mass of the reference gas and the mass of the reference liquid. Then, the effective components in the reference liquid and the reference gas are detected separately to obtain the effective component data of the reference liquid and the effective component data of the reference gas. Based on the effective component data of the reference liquid, the mass of the reference gas, the effective component data of the reference gas, and the mass of the reference liquid, the effective component data of the control gas is obtained.

[0028] A device for detecting the effective components of a liquid beverage that promotes blood circulation and improves microcirculation, employing the aforementioned method for detecting the effective components of such a beverage, includes: The bottom end of the microchannel component 1 is fixedly connected to an ultrasonic device 6 for emitting orthogonal ultrasonic waves. The feed end and discharge end of the microchannel component 1 are respectively fixedly connected to a one-way limiting component 5. The interior of the microchannel component 1 is provided with a microchannel. The bottom end of the microchannel component 1 is fixedly connected to a particle collection chamber 8. Electric field 7, used to apply a gradient electric field to the liquid inside the microchannel 1, is installed inside the microchannel 1; Alternating tank 2 is fixedly installed at both ends of microchannel component 1. The interior of alternating tank 2 is connected to the microchannel inside microchannel component 1. A piston is connected inside alternating tank 2. The filter membrane 3, used to retain the solid phase, is fixedly installed inside the microchannel; Optical detector 4 is used to detect the particle content in the liquid inside the microchannel 1. The microchannel 1 is fixed inside the microchannel 1.

[0029] When detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians, the solid phase is dried to obtain gaseous effective component data. A cross-phase component tracing method is then used to trace the source of the gaseous effective component data. Based on the source, the gaseous effective component data is divided, thereby correcting the initial solid-phase and initial liquid-phase effective component data to obtain solid-phase and liquid-phase effective component data. This method not only detects the content of effective components in the microcirculation liquid beverage but also obtains the distribution of effective component content. Since the content of a single effective component originates from both the solid and liquid phases, it is necessary to divide the effective component content. This allows for understanding the distribution of effective content in the liquid beverage, ensuring the reasonable ratio and stability of these active ingredients, thus guaranteeing the effect of improving microcirculation. The effective components in the liquid can be absorbed, and the effective components absorbed and adsorbed in the particles can supplement the effective components in the liquid. A liquid beverage refers to a beverage without a fixed shape, with a solid content of less than or equal to 5%, and that is easily flowable.

[0030] In the device, the liquid beverage that improves microcirculation by clearing meridians is transferred into alternating tank 2. A piston inside alternating tank 2 pushes the liquid beverage through the microchannels in microchannel component 1. An electric field gradient is applied by electric field generator 7, while an ultrasonic transducer 6 emits orthogonal ultrasonic waves. Due to pressure, the liquid beverage passes through the microchannels to the interior of another alternating tank 2. The piston in the other alternating tank 2 can draw in the liquid beverage by applying negative pressure. Under the action of the gradient electric field, particles move to the retention area in the microchannels, i.e., the particle collection chamber 8, and are trapped by the filter membrane component 3. Then, the piston in the other alternating tank 2 changes its direction of movement, allowing the liquid beverage to flow out from the other side of the microchannel component 1. A microchannel flows through, and the unidirectional flow of the microchannel is achieved by the unidirectional limiting member 5. The original alternating tank 2 draws in liquid beverage, thereby achieving circulation filtration until the particle 4 detected by the optical detector is zero. Then the particles are collected, and the residual liquid on the particles is removed by the drying operation to obtain the control gas and the effective component data of the control gas. Then, the effective component data of the control gas is divided by the detection method to obtain the content and distribution of the effective components of the meridian-clearing and microcirculation-improving liquid beverage. The microchannel restricts the internal height, but does not restrict the length and width. Therefore, the microchannel member 1 used in this application is relatively long in order to achieve gradient electric field separation.

[0031] Liquid beverages that promote blood circulation and improve microcirculation may contain ingredients such as tanshinone, eucalyptus oil, safflower yellow pigment, cinnamaldehyde, ferulic acid, vitamin E, sea buckthorn, and ligustilide. Volatile components include ligustilide and eucalyptus oil. Since the specific formulation of each product may vary, the exact volatile components will also differ. To identify the specific components in a liquid beverage, HPLC fingerprinting technology can be used to detect the active ingredients. For the solid phase of the liquid beverage, for example, sea buckthorn can be crushed using a blender and added to the beverage, or traditional Chinese medicines such as tanshinone can be crushed and added to the beverage, retaining the powder (granule) form to enhance intestinal function. The liquid beverage has a regulating effect, and the solid powder (particles) contain effective ingredients. Since liquid beverages are those without a fixed shape, with a solid content of less than or equal to 5%, and are easily flowing, it is necessary to detect not only the components in the liquid but also the solid components. Furthermore, to achieve the effect of improving microcirculation and clearing the meridians, it is reasonable for this liquid beverage to contain solid powder (particles) without causing harm. For example, existing orange juice liquid beverages contain fruit pulp particles, but this does not affect its drinkability. This application primarily aims to detect the effective ingredients, treating other non-effective ingredients as the same substance to facilitate the calculation of effective ingredients and comparison of effective ingredient data.

[0032] This application obtains data on effective components in the solid phase through spectral analysis, detects effective components in the liquid phase using HPLC fingerprinting technology, and detects effective components in the gas phase using gas chromatography-mass spectrometry. HPLC, or High Performance Liquid Chromatography, is a highly efficient separation and analysis method based on liquid chromatography technology, widely used in chemistry, pharmacy, food, and environmental fields to separate, identify, and quantify chemical components in complex mixtures. HPLC fingerprinting technology is a quality control method combining HPLC and chemical pattern recognition analysis. Its core principle is to separate chemical components in complex liquid samples using HPLC and generate chromatograms with characteristic peak information. Then, the consistency of sample quality is systematically evaluated by calibrating common peaks and calculating similarity. This method targets the active ingredients (such as flavonoids, saponins, phenolic acids, etc.) and potential functional factors in liquid beverages that improve microcirculation through meridian stimulation. HPLC fingerprinting technology is used to achieve simultaneous detection and quality control of multiple components. Through characteristic peak calibration and chemical pattern recognition, a batch-to-batch consistency evaluation system is established.

[0033] Gradient electric field separation technology utilizes the differences in dielectric constant, conductivity, or charge between particles and the liquid phase by applying a non-uniform electric field, causing solid particles to migrate within the electric field gradient, thereby achieving solid-liquid phase separation. Neutral particles move due to polarization effects in the non-uniform electric field, and their direction depends on the difference in dielectric properties between the particles and the medium. Coatings such as polyethylene glycol on the inner walls of microchannels can further reduce particle adsorption within the channels. Furthermore, based on gradient electric field separation technology, the separation efficiency is further improved by using a filter membrane to retain the solid phase, while allowing the liquid phase to pass through.

[0034] The optical detector 4 uses a high-speed microscope camera embedded in the optical detection layer to capture the migration trajectory and particle size changes of particles in real time on the microchannel. Combined with image analysis algorithms, it dynamically adjusts the electric field and ultrasonic parameters until the solid and liquid phases are completely separated. The high-speed microscope camera is installed on the microchannel. Based on the different degrees of light absorption by particles and liquid, it can distinguish between particles and liquid, thereby detecting the number of particles in the liquid. Based on the repeated cycle process, filtration can be stopped when no particles are detected in the microchannel multiple times.

[0035] During liquid sampling, a sampler equipped with a 0.22μm filter membrane is used to prevent solid particles from entering the sampler, ensuring the purity of the sampled liquid. Orthogonal ultrasound, as a special vibration mode of ultrasound, has a vibration direction perpendicular to the propagation direction, forming transverse waves, which can reduce the boundary layer thickness, increase the mass transfer rate, and help adsorbed components diffuse from the particle surface into the liquid. Simultaneous orthogonal ultrasound treatment during the separation process can improve the separation effect.

[0036] Since the control gas and the second gas contain a large amount of water vapor, which can affect the mass spectrometer's detection of the effective components in the gas, it is necessary to reduce the water vapor content in the control gas and the second gas when detecting the effective components. This can be achieved by cooling the control gas to obtain the reference liquid and reference gas. Then, the effective components in the reference liquid and reference gas are detected separately. The detection of the second gas is similar. The gas detection method includes cooling the control gas to obtain the reference liquid and reference gas. While obtaining the reference liquid and reference gas, the masses of both are simultaneously acquired. The effective component data of the reference liquid and reference gas are then obtained by detecting the effective components separately using the effective component detection method. Based on the effective component data of the reference liquid and reference gas, the effective component data of the control gas is obtained. During the above operations, the samples are processed in batches. The detection of the effective components requires sampling, and all detections in this paper are sampling detections to avoid excessive time consumption caused by overall detection and to reduce the error caused by single detection.

[0037] By using matching degree A and matching degree B, the source data of the effective component content in the control gas can be initially obtained. Then, the source data obtained by matching degree A and matching degree B are corrected through Example 1 and Example 2, thereby ensuring the accuracy of the classification of the effective component content in the control gas.

[0038] The initial solid phase effective component data were obtained by detecting the solid phase particles after the drying operation, while the initial liquid phase effective component data were obtained by detecting the separated liquid phase.

[0039] Example 1, as Figure 2 As shown, partial vaporization was performed on liquid No. 2. Partial vaporization does not vaporize all the liquid in the sample; only partial vaporization is performed. The liquid phases before and after vaporization were weighed separately to obtain the amount of liquid lost during the vaporization process. Based on the detection of the gas after vaporization, the effective component data of the gas and the amount of liquid lost were obtained. Since partial vaporization causes volatile effective components to form gas, gas No. 2 was obtained, which was used to compare gas No. 2 with the control gas. Since it is a comparison between gases, Example 1 can only correct the source of volatile effective components. Considering that when the solid phase after separation is dried, non-volatile components in the residual liquid will form a solid phase, which may result in non-volatile components not being present in the gas, Example 1 corrects the source data of volatile effective components.

[0040] The matching degree C is obtained by comparing gas number two and the control gas. Since it is a gas comparison, it can only achieve the matching degree C between gases. and The correction was obtained. and Then according to and The numerical values ​​are used to classify the content of the i-th volatile active ingredient in the control gas, based on... and The numerical values ​​are used to classify the content of the j-th volatile active ingredient in the control gas, thereby obtaining the content and distribution of a single active ingredient.

[0041] For example, using Danshen (Salvia miltiorrhiza), a herb that invigorates blood circulation and regulates menstruation, it contains tanshinone, which also invigorates blood circulation and regulates menstruation. During testing, the initial solid-phase effective component data showed a tanshinone content of 0.50 mg / g, the initial liquid-phase effective component data showed a tanshinone content of 1.20 mg / L, and the control gas effective component data showed a tanshinone content of 0.10 mg / L. Tanshinone can be considered a volatile effective component. To calculate the values ​​in the initial solid-phase and control gas effective component data, unit conversion is required. The density of the liquid phase was measured to be 1.00 g / L, thus yielding 1.20 mg / g and 0.10 mg / g.

[0042] , , = , = ,pass and To classify the content of tanshinone in the effective components of the control gas, among which... It was classified into and combined with the initial liquid phase effective component data. The data are divided into the initial solid phase effective component data and combined to obtain solid phase effective component data and liquid phase effective component data. At this time, i=1, which means that tanshinone is the first volatile component content.

[0043] In the calculations performed in Example 1, the effective component detection of gas No. 2 and gas No. 1 were both conducted under the same gas pressure. The effective component data of gas No. 2 showed a tanshinone content of 0.08 mg / L. Since the tanshinone content in gas No. 2 was lower than that in the control gas, tanshinone was present in the solid phase. Therefore, the original source ratio was corrected. = Substitute into the formula, where Because this is to ensure that the equation always holds true, Make When changes occur, adjust To ensure that the equation always holds true, similarly... and This will also ensure that the equation always holds true, and obtain = , = ,pass and To classify the content of tanshinone, the classification of tanshinone content refers to the presence of tanshinone in the control gas. It originates from the liquid phase. For solid-phase sources, the tanshinone content in the solid phase is combined with the tanshinone content obtained by detecting the solid phase, thereby obtaining the tanshinone content in the solid phase. This reduces the possibility of missing content in the detection due to tanshinone forming gas after the drying process.

[0044] Calculations were performed in Example 2, and the content of tanshinone in the supplementary liquid was found to be 1.25 mg / L. The mass ratio of gas and liquid before and after mixing is obtained by detection. =1.02, then = And thus obtain =0.31, =0.69. The tanshinone content was divided using values ​​of 0.31 and 0.69. The source of non-volatile content was similarly determined. Examples 1 and 2 are primarily used for comparison between liquid and gas phases. Therefore... and It should be given priority in the classification of sources related to the liquid phase.

[0045] Since Example 1 is a comparison between the control gas and the second gas, and since volatile active ingredients are easily volatilized into gas, Example 1 can only correct the matching parameters of volatile active ingredients. Compared with Example 2, which can only correct the matching parameters related to volatile active ingredients, Example 2 can also correct non-volatile active ingredients.

[0046] Example 2, as Figure 3 As shown, the control gas is introduced into liquid No. 3, allowing it to begin liquefying. This lowers the temperature of liquid No. 3, causing the control gas to cool and liquefy rapidly. Simultaneously, it prevents the generation of particulate matter during liquefaction. If particulate matter is generated, liquid No. 3 can be quantitatively replenished. The control gas is absorbed by liquid No. 3, resulting in replenished liquid. The effective components of the replenished liquid are then analyzed to obtain effective component data. The generation of particulate matter indicates saturation of a certain component within the replenished liquid, which will affect subsequent analysis of the replenished liquid, causing the measured value of that component to be lower than the actual value. Therefore, the generation of particulate matter must be avoided.

[0047] By observing the change in volatile active ingredients by the absorption of the control gas by liquid No. 3, the content of non-volatile active ingredients in liquid No. 3 will also change due to the change in the mass composition of liquid No. 3, such as the conversion of water vapor into water. Based on this change, the ideal content of non-volatile active ingredients in the residual gas can be determined, thereby correcting the source data of the content of non-volatile active ingredients.

[0048] By comparing the effective component data of the supplementary liquid with the effective component data of the initial liquid phase, and calculating the matching degree D between the two using a matching calculation method, the difference between the two can be analyzed to clarify the influence of the control gas on the initial liquid phase. and To classify the content of the i-th volatile active ingredient in the control gas, by... and The content of the j-th non-volatile active ingredient in the control gas is divided to obtain the content and distribution of a single active ingredient.

[0049] By organically combining matching calculation methods and source calculation methods, the distribution and content of active ingredients in liquid beverages are determined. This method effectively reduces the problem of errors in component data detection results caused by phase interference, making the detection results more reliable. This detection method achieves the detection of active ingredients in both solid and gas phases through cross-phase component tracing, which helps to comprehensively understand the distribution and content of active ingredients in liquid beverages and provides a comprehensive basis for quality control. Through the source calculation method, component data in different phases are obtained, and the source is traced through the matching calculation method. A second gas is obtained through partial vaporization and compared with a control gas to correct for volatile active ingredients. By introducing the control gas into a third liquid and liquefying it, a supplementary liquid is obtained and compared with the initial liquid phase to correct for volatile and non-volatile active ingredients. The matching degree C further corrects the source data by comparing the component differences between the second gas and the control gas, while the matching degree D corrects for non-volatile active ingredients by comparing the component differences between the supplementary liquid and the initial liquid phase, thus ensuring the reliability of the source data.

[0050] The matching calculation method involves calculating the matching degree of effective components between different phases (such as gas, liquid, and solid phases). This method first classifies effective components according to their volatility properties into volatile effective components (such as certain substances in mushrooms) and non-volatile effective components. Then, it calculates the matching degree of these components between different phases. Matching degree A represents the degree of matching between the control gas effective component data and the initial liquid phase effective component data, and matching degree B represents the degree of matching between the control gas effective component data and the initial solid phase effective component data. For volatile and non-volatile components, their matching degrees can be further subdivided (e.g., AX, AY, BX, B...). (e.g., Y), these matching degrees are obtained by accurately comparing the content of the same component in different phases. Through the cross-phase component tracing method, the matching degree A between the control gas and the initial liquid phase effective component data, and the matching degree B between the control gas and the initial solid phase effective component data are analyzed. Then, the matching degree A and matching degree B are corrected through matching calculation method and source calculation method. In this way, the tracing and classification of effective components in different phases are realized. The cross-phase component tracing method is used to classify the effective component content of the control gas. Based on obtaining the effective component content in liquid beverages, the distribution of effective component content is further obtained.

[0051] The source calculation method, based on the results of the matching calculation method, further determines the source of the effective components in the control gas. This method calculates the source data of the control gas by comprehensively considering the matching degree A and matching degree B, and based on the matching degree C between the second gas and the control gas mentioned in Example 1, and the matching degree D between the supplementary liquid and the initial liquid phase mentioned in Example 2. Based on these matching degree values, the content of effective components in the control gas can be scientifically and reasonably divided, thereby determining the source of these effective components. This division is based on the degree of matching of effective components between different phases, thus reflecting the real situation more accurately. Through the matching calculation method and the source calculation method, the distribution of effective component content in the beverage can be obtained based on the content of effective components in the liquid beverage.

[0052] In this application, the volatility of the active ingredient is defined during vaporization or drying operations. Unvaporized active ingredients are considered non-volatile, while vaporized active ingredients are considered volatile. Both vaporization and drying operations remove moisture. However, compared to the direct operation in vaporization, drying involves handling particles, thus requiring avoidance of rapid heating effects on the particles. Vaporization involves direct heating to vaporize the liquid, while drying removes residual liquid from the solid phase while maintaining a constant temperature. Since the components between the solid and gas phases contain... Quantitative data is inconvenient to compare directly, but gas and liquid phases can be converted for comparison. Furthermore, the comparison can be achieved by converting the gas phase to the liquid phase and vice versa. Therefore, in Examples 1 and 2, the focus is on comparing and calculating liquid and gas, respectively by converting the gas phase to the liquid phase and vice versa, and then performing comparative calculations to correct the source data. The source data can be initially obtained through matching degree A and matching degree B, but there may be cases where effective components are adsorbed on the particles. Therefore, the methods in Examples 1 and 2 are needed to correct the source data.

[0053] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians, the detection method comprising: S01, Obtain a liquid beverage sample, use a circulating filtration method to separate the solid and liquid phases in the liquid beverage sample, apply orthogonal ultrasound to the liquid beverage during the separation process, collect the separated liquid and solid phases separately, detect the separated liquid phase, and obtain the initial liquid phase effective component data; S02, the separated solid phase is dried, the control gas discharged during the drying process is obtained, the dried solid phase is homogenized, and the effective component data of the initial solid phase is detected and obtained. The feature is that, in step S03, the reference gas is processed by a cross-phase composition tracing method to obtain the source data of the reference gas. Based on the source data, the initial solid phase effective component data and the initial liquid phase effective component data are corrected. The corresponding gas phase content data is obtained by combining the source data with the initial liquid phase effective component data and the initial solid phase effective component data, respectively. Based on the solid phase effective component data and the liquid phase effective component data, the effective component distribution data is obtained. The transphase composition tracing method includes: (a) Liquid No. 2 is obtained from the separated liquid phase by filtration membrane extraction. Liquid No. 2 is partially vaporized to obtain gas No.

2. Gas No. 2 is detected by gas detection method to obtain effective component data of gas No.

2. The matching degree C between the effective component data of gas No. 2 and the effective component data of control gas is calculated by matching calculation method. The source data of control gas is obtained by combining matching degree A, matching degree B and matching degree C by source calculation method. (b) Obtain Liquid No. 3 and its mass M1 from the separated liquid. Pour a quantitative amount of control gas into Liquid No. 3 and liquefy the control gas in Liquid No. 3 to obtain the supplementary liquid and its mass M2. Detect the supplementary liquid using HPLC fingerprinting technology to obtain the effective component data of the supplementary liquid. Calculate the matching degree D between the effective component data of the supplementary liquid and the effective component data of the initial liquid phase using a matching calculation method. Calculate the source data of the control gas by combining the matching degree A, matching degree B, and matching degree D using a source calculation method. S04, solid phase effective component data and liquid phase effective component data are jointly mapped onto liquid beverages to generate distribution maps and data of effective components in liquid beverages; The transphase composition tracing method includes: The effective components of a control gas are detected using a gas detection method to obtain effective component data. The gas detection method includes obtaining a quantitative gas sample of the control gas, cooling the quantitative gas sample to liquefy water vapor in the sample, obtaining a reference gas and a reference liquid, and detecting the mass of the reference gas and the mass of the reference liquid. Then, the effective components in the reference liquid and the reference gas are detected separately to obtain effective component data for the reference liquid and the reference gas. Based on the effective component data of the reference liquid, the mass of the reference gas, the effective component data of the reference gas, and the mass of the reference liquid, the effective component data of the control gas is obtained. The matching degree A between the effective component data of the control gas and the effective component data of the initial liquid phase and the matching degree B between the effective component data of the control gas and the effective component data of the initial solid phase were calculated by the matching calculation method. The source data of the control gas were obtained by combining the matching degree A and the matching degree B by the source calculation method. The matching calculation method includes: Based on the volatility properties of the active ingredients, the active ingredients are divided into volatile active ingredients X and non-volatile active ingredients Y. Furthermore, based on the quantity and volatility properties of the active ingredients, Xi and Yj are obtained, where i represents the i-th volatile active ingredient and j represents the j-th non-volatile active ingredient. (1, 2, 3...m), where m represents the quantity of volatile active ingredients, j (1, 2, 3...n), where n represents the quantity of non-volatile active ingredients; The matching degree A includes the matching degree AX between volatile active ingredients X and the matching degree AY between non-volatile active ingredients Y; The matching degree BA includes the matching degree BX between volatile active ingredients X and the matching degree BY between non-volatile active ingredients Y; get , , and , and This represents the content of the i-th volatile component and the j-th non-volatile component in the initial liquid phase effective component data. and Let represent the content of the i-th volatile component and the j-th non-volatile component in the effective component data of the control gas, respectively. and Let represent the content of the i-th volatile component and the j-th non-volatile component in the initial solid phase effective component data, respectively. and The matching degree of the i-th volatile component and the matching degree of the j-th non-volatile component in matching degree A are respectively. The source calculation method includes: Source data obtained based on matching degree A and , and The matching degree of the i-th volatile component and the matching degree of the j-th non-volatile component in matching degree B are respectively included. The source data includes , , and , and This represents the ratio between the liquid and solid phases in terms of the content of the i-th volatile component in the control gas. and This indicates the ratio between the liquid and solid phases in terms of the content of the j-th volatile component in the control gas.

2. The method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians, as described in claim 1, is characterized in that: The matching calculation method includes: The matching degree C includes the matching degree CX between volatile active ingredients X and the matching degree CY between non-volatile active ingredients Y; , and The values ​​are the contents of the i-th volatile active ingredient in the control gas and the contents in the second gas, respectively. This indicates the degree of matching between the i-th volatile active ingredient and the control gas; The source calculation method includes: based on The division ratio was adjusted to obtain and ,in accordance with and The numerical values ​​are used to classify the content of the i-th volatile active ingredient in the control gas. It is the dependent variable that makes the equation true, and the source data includes , , and .

3. The method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians, as described in claim 1, is characterized in that: The matching calculation method includes: The matching degree D includes the matching degree DX between volatile active ingredients X and the matching degree DY between non-volatile active ingredients Y; get and , and Let represent the content of the i-th volatile active ingredient in the replenishment liquid and the content in the initial liquid phase, respectively. and These represent the contents of the j-th non-volatile active ingredient in the replenishment liquid and the contents in the initial liquid phase, respectively. This indicates the degree of matching between the i-th volatile active ingredient and the initial liquid phase. This indicates the degree of matching between the j-th non-volatile active ingredient and the initial liquid phase; The source calculation method includes: based on and The division ratio was adjusted to obtain and ,in accordance with and The numerical values ​​are used to classify the content of the i-th volatile active ingredient in the control gas, based on... and The numerical values ​​are used to classify the content of the j-th non-volatile active component in the control gas. and It is the dependent variable that makes the equation true, and the source data includes , , and .

4. A device for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians, comprising the method for detecting the effective components of a liquid beverage that improves microcirculation by clearing meridians as described in any one of claims 1-3, characterized in that, The detection device includes: Microchannel component (1), with an ultrasonic device (6) for emitting orthogonal ultrasonic waves fixedly connected to the bottom end of the microchannel component (1), and a one-way limiting component (5) fixedly connected to the feed end and the discharge end of the microchannel component (1), with a microchannel provided inside the microchannel component (1), and a particle collection chamber (8) fixedly connected to the bottom end of the microchannel component (1). An electric field device (7) is installed inside the microchannel device (1) to apply a gradient electric field to the liquid inside the microchannel device (1). Alternating tank (2), the alternating tank (2) is fixedly installed at both ends of the microchannel component (1), the interior of the alternating tank (2) is connected to the microchannel inside the microchannel component (1), and a piston is connected inside the alternating tank (2); The filter membrane (3) is fixedly installed inside the microchannel to retain the solid phase. An optical detector (4) is used to detect the particle content in the liquid inside the microchannel (1). The microchannel (1) is fixed inside the microchannel (1).

Citation Information

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